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t=C.charCodeAt(w.pos+=e);if(w.pos=g.digit0&&e<=g.digit9?Se(!0):e===g.dot&&C.charCodeAt(w.pos+2)===g.dot?(w.pos+=3,ve(k.ellipsis)):(++w.pos,ve(k.dot))}();case g.leftParenthesis:return++w.pos,void ve(k.parenL);case g.rightParenthesis:return++w.pos,void ve(k.parenR);case g.semicolon:return++w.pos,void ve(k.semi);case g.comma:return++w.pos,void ve(k.comma);case g.leftSquareBracket:return++w.pos,void ve(k.bracketL);case g.rightSquareBracket:return++w.pos,void ve(k.bracketR);case g.leftCurlyBrace:return void(I&&C.charCodeAt(w.pos+1)===g.verticalBar?Ae(k.braceBarL,2):(++w.pos,ve(k.braceL)));case g.rightCurlyBrace:return++w.pos,void ve(k.braceR);case g.colon:return void(C.charCodeAt(w.pos+1)===g.colon?Ae(k.doubleColon,2):(++w.pos,ve(k.colon)));case g.questionMark:return void function(){const 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function(e){for(w.pos++;;){if(w.pos>=C.length)return void K("Unterminated string constant");const t=C.charCodeAt(w.pos);if(t===g.backslash)w.pos++;else if(t===e)break;w.pos++}w.pos++,ve(k.string)}(e);case g.slash:return void(C.charCodeAt(w.pos+1)===g.equalsTo?Ae(k.assign,2):Ae(k.slash,1));case g.percentSign:case g.asterisk:return void function(e){let t=e===g.asterisk?k.star:k.modulo,n=1,s=C.charCodeAt(w.pos+1);e===g.asterisk&&s===g.asterisk&&(n++,s=C.charCodeAt(w.pos+2),t=k.exponent),s===g.equalsTo&&C.charCodeAt(w.pos+2)!==g.greaterThan&&(n++,t=k.assign),Ae(t,n)}(e);case g.verticalBar:case g.ampersand:return void function(e){const t=C.charCodeAt(w.pos+1);if(t!==e){if(e===g.verticalBar){if(t===g.greaterThan)return void Ae(k.pipeline,2);if(t===g.rightCurlyBrace&&I)return void Ae(k.braceBarR,2)}t!==g.equalsTo?Ae(e===g.verticalBar?k.bitwiseOR:k.bitwiseAND,1):Ae(k.assign,2)}else C.charCodeAt(w.pos+2)===g.equalsTo?Ae(k.assign,3):Ae(e===g.verticalBar?k.logicalOR:k.logicalAND,2)}(e);case g.caret:return void(C.charCodeAt(w.pos+1)===g.equalsTo?Ae(k.assign,2):Ae(k.bitwiseXOR,1));case g.plusSign:case g.dash:return void function(e){const t=C.charCodeAt(w.pos+1);t!==e?t===g.equalsTo?Ae(k.assign,2):e===g.plusSign?Ae(k.plus,1):Ae(k.minus,1):Ae(k.preIncDec,2)}(e);case g.lessThan:return void function(){const e=C.charCodeAt(w.pos+1);if(e===g.lessThan)return C.charCodeAt(w.pos+2)===g.equalsTo?void Ae(k.assign,3):void(w.isType?Ae(k.lessThan,1):Ae(k.bitShiftL,2));e===g.equalsTo?Ae(k.relationalOrEqual,2):Ae(k.lessThan,1)}();case g.greaterThan:return void Ie();case g.equalsTo:case g.exclamationMark:return void function(e){const t=C.charCodeAt(w.pos+1);if(t!==g.equalsTo)return e===g.equalsTo&&t===g.greaterThan?(w.pos+=2,void ve(k.arrow)):void Ae(e===g.equalsTo?k.eq:k.bang,1);Ae(k.equality,C.charCodeAt(w.pos+2)===g.equalsTo?3:2)}(e);case g.tilde:return void Ae(k.tilde,1)}K(`Unexpected character '${String.fromCharCode(e)}'`,w.pos)}function Ae(e,t){w.pos+=t,ve(e)}function 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Le(e){const[t,n]=Oe(e.jsxPragma||"React.createElement"),[s,o]=Oe(e.jsxFragmentPragma||"React.Fragment");return{base:t,suffix:n,fragmentBase:s,fragmentSuffix:o}}function Oe(e){let t=e.indexOf(".");return-1===t&&(t=e.length),[e.slice(0,t),e.slice(t)]}class De{getPrefixCode(){return""}getHoistedCode(){return""}getSuffixCode(){return""}}class Pe extends De{__init(){this.lastLineNumber=1}__init2(){this.lastIndex=0}__init3(){this.filenameVarName=null}__init4(){this.esmAutomaticImportNameResolutions={}}__init5(){this.cjsAutomaticModuleNameResolutions={}}constructor(e,t,n,s,o){super(),this.rootTransformer=e,this.tokens=t,this.importProcessor=n,this.nameManager=s,this.options=o,Pe.prototype.__init.call(this),Pe.prototype.__init2.call(this),Pe.prototype.__init3.call(this),Pe.prototype.__init4.call(this),Pe.prototype.__init5.call(this),this.jsxPragmaInfo=Le(o),this.isAutomaticRuntime="automatic"===o.jsxRuntime,this.jsxImportSource=o.jsxImportSource||"react"}process(){return!!this.tokens.matches1(k.jsxTagStart)&&(this.processJSXTag(),!0)}getPrefixCode(){let e="";if(this.filenameVarName&&(e+=`const ${this.filenameVarName} = ${JSON.stringify(this.options.filePath||"")};`),this.isAutomaticRuntime)if(this.importProcessor)for(const[t,n]of Object.entries(this.cjsAutomaticModuleNameResolutions))e+=`var ${n} = require("${t}");`;else{const{createElement:t,...n}=this.esmAutomaticImportNameResolutions;t&&(e+=`import {createElement as ${t}} from "${this.jsxImportSource}";`);const s=Object.entries(n).map((([e,t])=>`${e} as ${t}`)).join(", ");if(s){e+=`import {${s}} from "${this.jsxImportSource+(this.options.production?"/jsx-runtime":"/jsx-dev-runtime")}";`}}return e}processJSXTag(){const{jsxRole:e,start:t}=this.tokens.currentToken(),n=this.options.production?null:this.getElementLocationCode(t);this.isAutomaticRuntime&&e!==Y.KeyAfterPropSpread?this.transformTagToJSXFunc(n,e):this.transformTagToCreateElement(n)}getElementLocationCode(e){return`lineNumber: ${this.getLineNumberForIndex(e)}`}getLineNumberForIndex(e){const t=this.tokens.code;for(;this.lastIndex or > at the end of the tag.");this.tokens.removeToken(),this.processAutomaticChildrenAndEndProps(t)}s&&this.tokens.appendCode(`, ${s}`)}for(this.options.production||(null===s&&this.tokens.appendCode(", void 0"),this.tokens.appendCode(`, ${n}, ${this.getDevSource(e)}, this`)),this.tokens.removeInitialToken();!this.tokens.matches1(k.jsxTagEnd);)this.tokens.removeToken();this.tokens.replaceToken(")")}transformTagToCreateElement(e){if(this.tokens.replaceToken(this.getCreateElementInvocationCode()),this.tokens.matches1(k.jsxTagEnd))this.tokens.replaceToken(`${this.getFragmentCode()}, null`),this.processChildren(!0);else if(this.processTagIntro(),this.processPropsObjectWithDevInfo(e),this.tokens.matches2(k.slash,k.jsxTagEnd));else{if(!this.tokens.matches1(k.jsxTagEnd))throw new Error("Expected either /> or > at the end of the tag.");this.tokens.removeToken(),this.processChildren(!0)}for(this.tokens.removeInitialToken();!this.tokens.matches1(k.jsxTagEnd);)this.tokens.removeToken();this.tokens.replaceToken(")")}getJSXFuncInvocationCode(e){return this.options.production?e?this.claimAutoImportedFuncInvocation("jsxs","/jsx-runtime"):this.claimAutoImportedFuncInvocation("jsx","/jsx-runtime"):this.claimAutoImportedFuncInvocation("jsxDEV","/jsx-dev-runtime")}getCreateElementInvocationCode(){if(this.isAutomaticRuntime)return this.claimAutoImportedFuncInvocation("createElement","");{const{jsxPragmaInfo:e}=this;return`${this.importProcessor&&this.importProcessor.getIdentifierReplacement(e.base)||e.base}${e.suffix}(`}}getFragmentCode(){if(this.isAutomaticRuntime)return this.claimAutoImportedName("Fragment",this.options.production?"/jsx-runtime":"/jsx-dev-runtime");{const{jsxPragmaInfo:e}=this;return(this.importProcessor&&this.importProcessor.getIdentifierReplacement(e.fragmentBase)||e.fragmentBase)+e.fragmentSuffix}}claimAutoImportedFuncInvocation(e,t){const n=this.claimAutoImportedName(e,t);return this.importProcessor?`${n}.call(void 0, `:`${n}(`}claimAutoImportedName(e,t){if(this.importProcessor){const n=this.jsxImportSource+t;return this.cjsAutomaticModuleNameResolutions[n]||(this.cjsAutomaticModuleNameResolutions[n]=this.importProcessor.getFreeIdentifierForPath(n)),`${this.cjsAutomaticModuleNameResolutions[n]}.${e}`}return this.esmAutomaticImportNameResolutions[e]||(this.esmAutomaticImportNameResolutions[e]=this.nameManager.claimFreeName(`_${e}`)),this.esmAutomaticImportNameResolutions[e]}processTagIntro(){let e=this.tokens.currentIndex()+1;for(;this.tokens.tokens[e].isType||!this.tokens.matches2AtIndex(e-1,k.jsxName,k.jsxName)&&!this.tokens.matches2AtIndex(e-1,k.greaterThan,k.jsxName)&&!this.tokens.matches1AtIndex(e,k.braceL)&&!this.tokens.matches1AtIndex(e,k.jsxTagEnd)&&!this.tokens.matches2AtIndex(e,k.slash,k.jsxTagEnd);)e++;if(e===this.tokens.currentIndex()+1){const e=this.tokens.identifierName();Be(e)&&this.tokens.replaceToken(`'${e}'`)}for(;this.tokens.currentIndex()=g.lowercaseA&&t<=g.lowercaseZ}function qe(e){let t=0,n=0;for(const s of e)"\n"===s?(t++,n=0):" "===s&&n++;return"\n".repeat(t)+" ".repeat(n)}function Me(e,t){let n,s="",o=0,r=t;if("#"===e[r]){let t,s=10;if(r++,"x"===e[r])for(s=16,r++,t=r;r=g.digit0&&i<=g.digit9||i>=g.lowercaseA&&i<=g.lowercaseF||i>=g.uppercaseA&&i<=g.uppercaseF);)r++;else for(t=r;r=g.digit0&&e<=g.digit9}function $e(e,t){const n=Le(t),s=new Set;for(let o=0;o0||t.namedExports.length>0)continue;[...t.defaultNames,...t.wildcardNames,...t.namedImports.map((({localName:e})=>e))].every((e=>this.shouldAutomaticallyElideImportedName(e)))&&this.importsToReplace.set(e,"")}}shouldAutomaticallyElideImportedName(e){return this.isTypeScriptTransformEnabled&&!this.keepUnusedImports&&!this.nonTypeIdentifiers.has(e)}generateImportReplacements(){for(const[e,t]of this.importInfoByPath.entries()){const{defaultNames:n,wildcardNames:s,namedImports:o,namedExports:r,exportStarNames:i,hasStarExport:a}=t;if(0===n.length&&0===s.length&&0===o.length&&0===r.length&&0===i.length&&!a){this.importsToReplace.set(e,`require('${e}');`);continue}const c=this.getFreeIdentifierForPath(e);let l;l=this.enableLegacyTypeScriptModuleInterop?c:s.length>0?s[0]:this.getFreeIdentifierForPath(e);let u=`var ${c} = require('${e}');`;if(s.length>0)for(const e of s){u+=` var ${e} = ${this.enableLegacyTypeScriptModuleInterop?c:`${this.helperManager.getHelperName("interopRequireWildcard")}(${c})`};`}else i.length>0&&l!==c?u+=` var ${l} = ${this.helperManager.getHelperName("interopRequireWildcard")}(${c});`:n.length>0&&l!==c&&(u+=` var ${l} = ${this.helperManager.getHelperName("interopRequireDefault")}(${c});`);for(const{importedName:e,localName:t}of r)u+=` ${this.helperManager.getHelperName("createNamedExportFrom")}(${c}, '${t}', '${e}');`;for(const e of i)u+=` exports.${e} = ${l};`;a&&(u+=` ${this.helperManager.getHelperName("createStarExport")}(${c});`),this.importsToReplace.set(e,u);for(const e of n)this.identifierReplacements.set(e,`${l}.default`);for(const{importedName:e,localName:t}of o)this.identifierReplacements.set(t,`${c}.${e}`)}}getFreeIdentifierForPath(e){const t=e.split("/"),n=t[t.length-1].replace(/\W/g,"");return this.nameManager.claimFreeName(`_${n}`)}preprocessImportAtIndex(e){const t=[],n=[],s=[];if(e++,(this.tokens.matchesContextualAtIndex(e,m._type)||this.tokens.matches1AtIndex(e,k._typeof))&&!this.tokens.matches1AtIndex(e+1,k.comma)&&!this.tokens.matchesContextualAtIndex(e+1,m._from))return;if(this.tokens.matches1AtIndex(e,k.parenL))return;if(this.tokens.matches1AtIndex(e,k.name)&&(t.push(this.tokens.identifierNameAtIndex(e)),e++,this.tokens.matches1AtIndex(e,k.comma)&&e++),this.tokens.matches1AtIndex(e,k.star)&&(e+=2,n.push(this.tokens.identifierNameAtIndex(e)),e++),this.tokens.matches1AtIndex(e,k.braceL)){const n=this.getNamedImports(e+1);e=n.newIndex;for(const e of n.namedImports)"default"===e.importedName?t.push(e.localName):s.push(e)}if(this.tokens.matchesContextualAtIndex(e,m._from)&&e++,!this.tokens.matches1AtIndex(e,k.string))throw new Error("Expected string token at the end of import statement.");const o=this.tokens.stringValueAtIndex(e),r=this.getImportInfo(o);r.defaultNames.push(...t),r.wildcardNames.push(...n),r.namedImports.push(...s),0===t.length&&0===n.length&&0===s.length&&(r.hasBareImport=!0)}preprocessExportAtIndex(e){if(this.tokens.matches2AtIndex(e,k._export,k._var)||this.tokens.matches2AtIndex(e,k._export,k._let)||this.tokens.matches2AtIndex(e,k._export,k._const))this.preprocessVarExportAtIndex(e);else if(this.tokens.matches2AtIndex(e,k._export,k._function)||this.tokens.matches2AtIndex(e,k._export,k._class)){const t=this.tokens.identifierNameAtIndex(e+2);this.addExportBinding(t,t)}else if(this.tokens.matches3AtIndex(e,k._export,k.name,k._function)){const t=this.tokens.identifierNameAtIndex(e+3);this.addExportBinding(t,t)}else 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e.languages.kotlin.string,e.languages.insertBefore("kotlin","keyword",{annotation:{pattern:/\B@(?:\w+:)?(?:[A-Z]\w*|\[[^\]]+\])/,alias:"builtin"}}),e.languages.insertBefore("kotlin","function",{label:{pattern:/\b\w+@|@\w+\b/,alias:"symbol"}}),e.languages.kt=e.languages.kotlin,e.languages.kts=e.languages.kotlin}(A),A.languages.c=A.languages.extend("clike",{comment:{pattern:/\/\/(?:[^\r\n\\]|\\(?:\r\n?|\n|(?![\r\n])))*|\/\*[\s\S]*?(?:\*\/|$)/,greedy:!0},string:{pattern:/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},"class-name":{pattern:/(\b(?:enum|struct)\s+(?:__attribute__\s*\(\([\s\S]*?\)\)\s*)?)\w+|\b[a-z]\w*_t\b/,lookbehind:!0},keyword:/\b(?:_Alignas|_Alignof|_Atomic|_Bool|_Complex|_Generic|_Imaginary|_Noreturn|_Static_assert|_Thread_local|__attribute__|asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|inline|int|long|register|return|short|signed|sizeof|static|struct|switch|typedef|typeof|union|unsigned|void|volatile|while)\b/,function:/\b[a-z_]\w*(?=\s*\()/i,number:/(?:\b0x(?:[\da-f]+(?:\.[\da-f]*)?|\.[\da-f]+)(?:p[+-]?\d+)?|(?:\b\d+(?:\.\d*)?|\B\.\d+)(?:e[+-]?\d+)?)[ful]{0,4}/i,operator:/>>=?|<<=?|->|([-+&|:])\1|[?:~]|[-+*/%&|^!=<>]=?/}),A.languages.insertBefore("c","string",{char:{pattern:/'(?:\\(?:\r\n|[\s\S])|[^'\\\r\n]){0,32}'/,greedy:!0}}),A.languages.insertBefore("c","string",{macro:{pattern:/(^[\t 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A.languages.c.boolean,A.languages.objectivec=A.languages.extend("c",{string:{pattern:/@?"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},keyword:/\b(?:asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|in|inline|int|long|register|return|self|short|signed|sizeof|static|struct|super|switch|typedef|typeof|union|unsigned|void|volatile|while)\b|(?:@interface|@end|@implementation|@protocol|@class|@public|@protected|@private|@property|@try|@catch|@finally|@throw|@synthesize|@dynamic|@selector)\b/,operator:/-[->]?|\+\+?|!=?|<<?=?|>>?=?|==?|&&?|\|\|?|[~^%?*\/@]/}),delete 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t=/\/\*(?:[^*/]|\*(?!\/)|\/(?!\*)|<self>)*\*\//.source,n=0;n<2;n++)t=t.replace(/<self>/g,(function(){return 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A.languages.go["class-name"],function(e){var t=/\b(?:alignas|alignof|asm|auto|bool|break|case|catch|char|char16_t|char32_t|char8_t|class|co_await|co_return|co_yield|compl|concept|const|const_cast|consteval|constexpr|constinit|continue|decltype|default|delete|do|double|dynamic_cast|else|enum|explicit|export|extern|final|float|for|friend|goto|if|import|inline|int|int16_t|int32_t|int64_t|int8_t|long|module|mutable|namespace|new|noexcept|nullptr|operator|override|private|protected|public|register|reinterpret_cast|requires|return|short|signed|sizeof|static|static_assert|static_cast|struct|switch|template|this|thread_local|throw|try|typedef|typeid|typename|uint16_t|uint32_t|uint64_t|uint8_t|union|unsigned|using|virtual|void|volatile|wchar_t|while)\b/,n=/\b(?!<keyword>)\w+(?:\s*\.\s*\w+)*\b/.source.replace(/<keyword>/g,(function(){return 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b/blog/archive/index.html @@ -0,0 +1,14 @@ +<!doctype html> +<html lang="en" dir="ltr" class="plugin-blog plugin-id-default" data-has-hydrated="false"> +<head> +<meta charset="UTF-8"> +<meta name="generator" content="Docusaurus v3.2.1"> +<title data-rh="true">Archive | bpd + + + + + +

Archive

Archive

2021​

2019​

+ + \ No newline at end of file diff --git a/blog/atom.xml b/blog/atom.xml new file mode 100644 index 00000000..7d027ffe --- /dev/null +++ b/blog/atom.xml @@ -0,0 +1,99 @@ + + + https://dsc-courses.github.io/bpd-reference/blog + bpd Blog + 2021-08-26T00:00:00.000Z + https://github.com/jpmonette/feed + + bpd Blog + https://dsc-courses.github.io/bpd-reference/img/favicon.ico + + <![CDATA[Welcome]]> + https://dsc-courses.github.io/bpd-reference/blog/welcome + + 2021-08-26T00:00:00.000Z + + Docusaurus blogging features are powered by the blog plugin.

+

Simply add Markdown files (or folders) to the blog directory.

+

Regular blog authors can be added to authors.yml.

+

The blog post date can be extracted from filenames, such as:

+
    +
  • 2019-05-30-welcome.md
    • +
  • 2019-05-30-welcome/index.md
    • +
+

A blog post folder can be convenient to co-locate blog post images:

+

Docusaurus Plushie

+

The blog supports tags as well!

+

And if you don't want a blog: just delete this directory, and use blog: false in your Docusaurus config.

]]> + + Sébastien Lorber + https://sebastienlorber.com + + + Yangshun Tay + https://github.com/yangshun + + + + + + + <![CDATA[MDX Blog Post]]> + https://dsc-courses.github.io/bpd-reference/blog/mdx-blog-post + + 2021-08-01T00:00:00.000Z + + Blog posts support Docusaurus Markdown features, such as MDX.

+
tip

Use the power of React to create interactive blog posts.

<button onClick={() => alert('button clicked!')}>Click me!</button>
]]> + + Sébastien Lorber + https://sebastienlorber.com + + + + + <![CDATA[Long Blog Post]]> + https://dsc-courses.github.io/bpd-reference/blog/long-blog-post + + 2019-05-29T00:00:00.000Z + + This is the summary of a very long blog post,

+

Use a <!-- truncate --> comment to limit blog post size in the list view.

+

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+

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+

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+

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+

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+

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+

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+

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+

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+

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+

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+

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+

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+

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+

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+

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]]> + + Endilie Yacop Sucipto + https://github.com/endiliey + + + + + + <![CDATA[First Blog Post]]> + https://dsc-courses.github.io/bpd-reference/blog/first-blog-post + + 2019-05-28T00:00:00.000Z + + Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

]]> + + Gao Wei + https://github.com/wgao19 + + + + + \ No newline at end of file diff --git a/blog/first-blog-post/index.html b/blog/first-blog-post/index.html new file mode 100644 index 00000000..f4974987 --- /dev/null +++ b/blog/first-blog-post/index.html @@ -0,0 +1,14 @@ + + + + + +First Blog Post | bpd + + + + + +

First Blog Post

· One min read
Gao Wei
Gao Wei
Docusaurus Core Team

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+ + \ No newline at end of file diff --git a/blog/index.html b/blog/index.html new file mode 100644 index 00000000..09dfdb1b --- /dev/null +++ b/blog/index.html @@ -0,0 +1,27 @@ + + + + + +Blog | bpd + + + + + +

Welcome

· One min read
Sébastien Lorber
Sébastien Lorber
Docusaurus maintainer
Yangshun Tay
Yangshun Tay
Front End Engineer @ Facebook

Docusaurus blogging features are powered by the blog plugin.

+

Simply add Markdown files (or folders) to the blog directory.

+

Regular blog authors can be added to authors.yml.

+

The blog post date can be extracted from filenames, such as:

+
    +
  • 2019-05-30-welcome.md
    • +
  • 2019-05-30-welcome/index.md
    • +
+

A blog post folder can be convenient to co-locate blog post images:

+

Docusaurus Plushie

+

The blog supports tags as well!

+

And if you don't want a blog: just delete this directory, and use blog: false in your Docusaurus config.

First Blog Post

· One min read
Gao Wei
Gao Wei
Docusaurus Core Team

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+ + \ No newline at end of file diff --git a/blog/long-blog-post/index.html b/blog/long-blog-post/index.html new file mode 100644 index 00000000..1e0ba979 --- /dev/null +++ b/blog/long-blog-post/index.html @@ -0,0 +1,31 @@ + + + + + +Long Blog Post | bpd + + + + + +

Long Blog Post

· 3 min read
Endilie Yacop Sucipto
Endilie Yacop Sucipto
Maintainer of Docusaurus

This is the summary of a very long blog post,

+

Use a <!-- truncate --> comment to limit blog post size in the list view.

+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+

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+

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+

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+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+

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+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+

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+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+ + \ No newline at end of file diff --git a/blog/mdx-blog-post/index.html b/blog/mdx-blog-post/index.html new file mode 100644 index 00000000..d3af8669 --- /dev/null +++ b/blog/mdx-blog-post/index.html @@ -0,0 +1,15 @@ + + + + + +MDX Blog Post | bpd + + + + + +

MDX Blog Post

· One min read
Sébastien Lorber
Sébastien Lorber
Docusaurus maintainer

Blog posts support Docusaurus Markdown features, such as MDX.

+
tip

Use the power of React to create interactive blog posts.

<button onClick={() => alert('button clicked!')}>Click me!</button>
+ + \ No newline at end of file diff --git a/blog/rss.xml b/blog/rss.xml new file mode 100644 index 00000000..1d9c5db8 --- /dev/null +++ b/blog/rss.xml @@ -0,0 +1,81 @@ + + + + bpd Blog + https://dsc-courses.github.io/bpd-reference/blog + bpd Blog + Thu, 26 Aug 2021 00:00:00 GMT + https://validator.w3.org/feed/docs/rss2.html + https://github.com/jpmonette/feed + en + + <![CDATA[Welcome]]> + https://dsc-courses.github.io/bpd-reference/blog/welcome + https://dsc-courses.github.io/bpd-reference/blog/welcome + Thu, 26 Aug 2021 00:00:00 GMT + + Docusaurus blogging features are powered by the blog plugin.

+

Simply add Markdown files (or folders) to the blog directory.

+

Regular blog authors can be added to authors.yml.

+

The blog post date can be extracted from filenames, such as:

+
    +
  • 2019-05-30-welcome.md
    • +
  • 2019-05-30-welcome/index.md
    • +
+

A blog post folder can be convenient to co-locate blog post images:

+

Docusaurus Plushie

+

The blog supports tags as well!

+

And if you don't want a blog: just delete this directory, and use blog: false in your Docusaurus config.

]]> + facebook + hello + docusaurus + + + <![CDATA[MDX Blog Post]]> + https://dsc-courses.github.io/bpd-reference/blog/mdx-blog-post + https://dsc-courses.github.io/bpd-reference/blog/mdx-blog-post + Sun, 01 Aug 2021 00:00:00 GMT + + Blog posts support Docusaurus Markdown features, such as MDX.

+
tip

Use the power of React to create interactive blog posts.

<button onClick={() => alert('button clicked!')}>Click me!</button>
]]> + docusaurus + + + <![CDATA[Long Blog Post]]> + https://dsc-courses.github.io/bpd-reference/blog/long-blog-post + https://dsc-courses.github.io/bpd-reference/blog/long-blog-post + Wed, 29 May 2019 00:00:00 GMT + + This is the summary of a very long blog post,

+

Use a <!-- truncate --> comment to limit blog post size in the list view.

+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+

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+

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+

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+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+

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+

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+

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+

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+

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+

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+

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+

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]]> + hello + docusaurus + + + <![CDATA[First Blog Post]]> + https://dsc-courses.github.io/bpd-reference/blog/first-blog-post + https://dsc-courses.github.io/bpd-reference/blog/first-blog-post + Tue, 28 May 2019 00:00:00 GMT + + Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

]]> + hola + docusaurus + + + \ No newline at end of file diff --git a/blog/tags/docusaurus/index.html b/blog/tags/docusaurus/index.html new file mode 100644 index 00000000..f3f593db --- /dev/null +++ b/blog/tags/docusaurus/index.html @@ -0,0 +1,27 @@ + + + + + +4 posts tagged with "docusaurus" | bpd + + + + + +

4 posts tagged with "docusaurus"

View All Tags

Welcome

· One min read
Sébastien Lorber
Sébastien Lorber
Docusaurus maintainer
Yangshun Tay
Yangshun Tay
Front End Engineer @ Facebook

Docusaurus blogging features are powered by the blog plugin.

+

Simply add Markdown files (or folders) to the blog directory.

+

Regular blog authors can be added to authors.yml.

+

The blog post date can be extracted from filenames, such as:

+
    +
  • 2019-05-30-welcome.md
    • +
  • 2019-05-30-welcome/index.md
    • +
+

A blog post folder can be convenient to co-locate blog post images:

+

Docusaurus Plushie

+

The blog supports tags as well!

+

And if you don't want a blog: just delete this directory, and use blog: false in your Docusaurus config.

First Blog Post

· One min read
Gao Wei
Gao Wei
Docusaurus Core Team

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+ + \ No newline at end of file diff --git a/blog/tags/facebook/index.html b/blog/tags/facebook/index.html new file mode 100644 index 00000000..be7115cd --- /dev/null +++ b/blog/tags/facebook/index.html @@ -0,0 +1,25 @@ + + + + + +One post tagged with "facebook" | bpd + + + + + +

One post tagged with "facebook"

View All Tags

Welcome

· One min read
Sébastien Lorber
Sébastien Lorber
Docusaurus maintainer
Yangshun Tay
Yangshun Tay
Front End Engineer @ Facebook

Docusaurus blogging features are powered by the blog plugin.

+

Simply add Markdown files (or folders) to the blog directory.

+

Regular blog authors can be added to authors.yml.

+

The blog post date can be extracted from filenames, such as:

+
    +
  • 2019-05-30-welcome.md
    • +
  • 2019-05-30-welcome/index.md
    • +
+

A blog post folder can be convenient to co-locate blog post images:

+

Docusaurus Plushie

+

The blog supports tags as well!

+

And if you don't want a blog: just delete this directory, and use blog: false in your Docusaurus config.

+ + \ No newline at end of file diff --git a/blog/tags/hello/index.html b/blog/tags/hello/index.html new file mode 100644 index 00000000..9272571f --- /dev/null +++ b/blog/tags/hello/index.html @@ -0,0 +1,26 @@ + + + + + +2 posts tagged with "hello" | bpd + + + + + +

2 posts tagged with "hello"

View All Tags

Welcome

· One min read
Sébastien Lorber
Sébastien Lorber
Docusaurus maintainer
Yangshun Tay
Yangshun Tay
Front End Engineer @ Facebook

Docusaurus blogging features are powered by the blog plugin.

+

Simply add Markdown files (or folders) to the blog directory.

+

Regular blog authors can be added to authors.yml.

+

The blog post date can be extracted from filenames, such as:

+
    +
  • 2019-05-30-welcome.md
    • +
  • 2019-05-30-welcome/index.md
    • +
+

A blog post folder can be convenient to co-locate blog post images:

+

Docusaurus Plushie

+

The blog supports tags as well!

+

And if you don't want a blog: just delete this directory, and use blog: false in your Docusaurus config.

+ + \ No newline at end of file diff --git a/blog/tags/hola/index.html b/blog/tags/hola/index.html new file mode 100644 index 00000000..175cc6e1 --- /dev/null +++ b/blog/tags/hola/index.html @@ -0,0 +1,14 @@ + + + + + +One post tagged with "hola" | bpd + + + + + +

One post tagged with "hola"

View All Tags

First Blog Post

· One min read
Gao Wei
Gao Wei
Docusaurus Core Team

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet

+ + \ No newline at end of file diff --git a/blog/tags/index.html b/blog/tags/index.html new file mode 100644 index 00000000..8fff9a74 --- /dev/null +++ b/blog/tags/index.html @@ -0,0 +1,14 @@ + + + + + +Tags | bpd + + + + + +

Tags

+ + \ No newline at end of file diff --git a/blog/welcome/index.html b/blog/welcome/index.html new file mode 100644 index 00000000..760784af --- /dev/null +++ b/blog/welcome/index.html @@ -0,0 +1,25 @@ + + + + + +Welcome | bpd + + + + + +

Welcome

· One min read
Sébastien Lorber
Sébastien Lorber
Docusaurus maintainer
Yangshun Tay
Yangshun Tay
Front End Engineer @ Facebook

Docusaurus blogging features are powered by the blog plugin.

+

Simply add Markdown files (or folders) to the blog directory.

+

Regular blog authors can be added to authors.yml.

+

The blog post date can be extracted from filenames, such as:

+
    +
  • 2019-05-30-welcome.md
    • +
  • 2019-05-30-welcome/index.md
    • +
+

A blog post folder can be convenient to co-locate blog post images:

+

Docusaurus Plushie

+

The blog supports tags as well!

+

And if you don't want a blog: just delete this directory, and use blog: false in your Docusaurus config.

+ + \ No newline at end of file diff --git a/docs/Functions/Applying Functions/index.html b/docs/Functions/Applying Functions/index.html new file mode 100644 index 00000000..07ecb194 --- /dev/null +++ b/docs/Functions/Applying Functions/index.html @@ -0,0 +1,22 @@ + + + + + +Applying Functions | bpd + + + + + +

Applying Functions

df.get(column_name).apply(function_name) +

Applies a function of one parameter to every entry in the column.

Input:
function_name: a python function
The function to apply to every entry in the column. This function should take a single parameter and return a value.
Returns:
A Series of the same size containing the results of the function application.
Return Type:
Series:
The returned Series will have the same index as the input Series and will contain the transformed values based on the applied function.
+
+
pets
+
Index SpeciesColorWeightAge
0 dogblack405
1 catgolden158
2 catblack209
3 dogwhite802
4 dogblack250.5
5 hamsterblack13
6 hamstergolden0.250.2
+
pets.get('Species').apply(is_dog)
+
  • 0"True"
  • 1"False"
  • 2"False"
  • 3"True"
  • 4"True"
  • 5"False"
  • 6"False"
Name: Species, dtype: bool
+
pets.get('Weight').apply(np.sqrt)
+
  • 0"6.324555"
  • 1"3.872983"
  • 2"4.472136"
  • 3"8.944272"
  • 4"5.000000"
  • 5"1.000000"
  • 6"0.500000"
Name: Weights, dtype: float64
+ + \ No newline at end of file diff --git a/docs/Functions/Writing Functions/index.html b/docs/Functions/Writing Functions/index.html new file mode 100644 index 00000000..03959f0b --- /dev/null +++ b/docs/Functions/Writing Functions/index.html @@ -0,0 +1,19 @@ + + + + + +Writing Functions | bpd + + + + + +

Writing Functions

def function_name(parameters): +

Define a customise function in Python.

Input:
parameters: any data type
These parameters are variables that act as placeholders for the values you pass to the function. A function can take a single parameter or a comma-separated list of parameters. Including parameters is optional; a function may operate without any.
Returns:
The result of the function. If there is no return statement, the function returns None by default.
Return Type:
The type of the returned object depends on the value provided by the return expression. If no return statement is used, the return type is NoneType.
+
+
def is_dog(species):
    if species == 'dog':
        return True
    return False
+
is_dog('dog')
+

True

+ + \ No newline at end of file diff --git a/docs/accessing-data/df.shape/index.html b/docs/accessing-data/df.shape/index.html new file mode 100644 index 00000000..295ae8a8 --- /dev/null +++ b/docs/accessing-data/df.shape/index.html @@ -0,0 +1,24 @@ + + + + + +df.shape | bpd + + + + + +

df.shape

df.shape +

Return a tuple representing the dimensionality of the DataFrame.

Returns:
a tuple representing the dimensionality of the DataFrame.
Return Type:
Tuple
Note:
df.shape[0] returns the number of observations (rows) in the DataFrame.
df.shape[1] returns the number of variables (columns) in the DataFrame.
+
+
pets
+
Index SpeciesColorWeightAge
0 dogblack405
1 catgolden158
2 catblack209
3 dogwhite802
4 dogblack250.5
5 hamsterblack13
6 hamstergolden0.250.2
+
pets.shape
+

(7, 4)

+
pets.shape[0]
+

7

+
pets.shape[1]
+

4

+ + \ No newline at end of file diff --git a/docs/arrays-and-numpy/arr[]/index.html b/docs/arrays-and-numpy/arr[]/index.html new file mode 100644 index 00000000..34f82c18 --- /dev/null +++ b/docs/arrays-and-numpy/arr[]/index.html @@ -0,0 +1,20 @@ + + + + + +arr[] | bpd + + + + + +

arr[]

arr[index] +

Retrieve the element at position index in the array arr. The first element is arr[0].

Input:
index : integer
Position of desired element to retrieve in array.
Returns:
element - data in the specified index of the array
Return Type:
integer, float, string, list, etc.
+
+
weight_ser = pets.get('Weight')
weight_ser
+
  • dog_00140
  • cat_00115
  • cat_00220
  • dog_00280
  • dog_00325
  • ham_0011
  • ham_0020.25
Name: Weight, dtype: float64
+
weight_arr = np.array(weight_ser)
weight_arr
+

array([40. , 15. , 20. , 80. , 25. , 1. , 0.25])

+ + \ No newline at end of file diff --git a/docs/building-organizing/bpd.DataFrame()/index.html b/docs/building-organizing/bpd.DataFrame()/index.html new file mode 100644 index 00000000..da8f4687 --- /dev/null +++ b/docs/building-organizing/bpd.DataFrame()/index.html @@ -0,0 +1,15 @@ + + + + + +bpd.DataFrame() | bpd + + + + + +
+ + \ No newline at end of file diff --git a/docs/building-organizing/bpd.read_csv()/index.html b/docs/building-organizing/bpd.read_csv()/index.html new file mode 100644 index 00000000..a95b0fa7 --- /dev/null +++ b/docs/building-organizing/bpd.read_csv()/index.html @@ -0,0 +1,18 @@ + + + + + +bpd.read_csv() | bpd + + + + + +

bpd.read_csv()

bpd.read_csv(filepath) +

Read a comma-separated values (csv) file into DataFrame.

Input:
filepath : string, path object, file-like object.
Any valid string path is acceptable. The string could also be a URL.
Returns:
df - DataFrame with read csv file.
Return Type:
DataFrame
+
+
pets = bpd.read_csv('pets.csv')
pets
+
Index IDSpeciesColorWeightAgeIs_CatOwner_Comment
0 dog_001dogblack405False There are no bad dogs, only bad owners.
1 cat_001catgolden1.50.2TrueMy best birthday present ever!!!
2 cat_002catblack159True****All you need is love and a cat.****
3 dog_002dogwhite802FalseLove is a wet nose and a wagging tail.
4 dog_003dogblack250.5FalseBe the person your dog thinks you are.
5 ham_001hamsterblack13FalseNo, thank you!
6 ham_002hamstergolden0.250.2FalseNo, thank you!
7 cat_003catblack100TrueNo, thank you!
+ + \ No newline at end of file diff --git a/docs/building-organizing/df.assign()/index.html b/docs/building-organizing/df.assign()/index.html new file mode 100644 index 00000000..07ffff46 --- /dev/null +++ b/docs/building-organizing/df.assign()/index.html @@ -0,0 +1,18 @@ + + + + + +df.assign() | bpd + + + + + +

df.assign()

df.assign(name_of_column=column_data) +

Adds/replaces a column. name_of_column should not have quotes or spaces.

Input:
name_of_column : string
Name of column to assign list to.
column_data : list
Data the column names contains.
Returns:
df_with_cols - A new DataFrame with the columns in addition to all the existing columns.
Return Type:
DataFrame
+
+
pets = pets.assign(New_column_1=['this', 'is', 'a', 'new', 'column', 'I', 'assigned'], 
                   New_column_2=['this', 'is', 'another', 'new', 'column', 'I', 'assigned'])
pets
+
Index IDSpeciesColorWeightAgeIs_CatOwner_CommentNew_column_1New_column_2
0 dog_001dogblack405False There are no bad dogs, only bad owners.thisthis
1 cat_001catgolden1.50.2TrueMy best birthday present ever!!!isis
2 cat_002catblack159True****All you need is love and a cat.****aanother
3 dog_002dogwhite802FalseLove is a wet nose and a wagging tail.newnew
4 dog_003dogblack250.5FalseBe the person your dog thinks you are.columncolumn
5 ham_001hamsterblack13FalseNo, thank you!II
6 ham_002hamstergolden0.250.2FalseNo, thank you!assignedassigned
7 cat_003catblack100TrueNo, thank you!..
+ + \ No newline at end of file diff --git a/docs/building-organizing/df.drop()/index.html b/docs/building-organizing/df.drop()/index.html new file mode 100644 index 00000000..1d1ae9a9 --- /dev/null +++ b/docs/building-organizing/df.drop()/index.html @@ -0,0 +1,20 @@ + + + + + +df.drop() | bpd + + + + + +

df.drop()

df.drop(columns=column_name or [col_1_name, ..., col_k_name]) +

Drops a single column, or every column in a list of column names.

Input:
columns : string or list
column name(s) to drop.
Returns:
df_without_cols - A new DataFrame without the column(s) specified in the method
Return Type:
DataFrame
+
+
pets = pets.assign(New_column_1=['this', 'is', 'a', 'new', 'column', 'I', 'assigned'], 
                  New_column_2=['this', 'is', 'another', 'new', 'column', 'I', 'assigned'])
pets
+
Index IDSpeciesColorWeightAgeIs_CatOwner_CommentNew_column_1New_column_2
0 dog_001dogblack405False There are no bad dogs, only bad owners.thisthis
1 cat_001catgolden1.50.2TrueMy best birthday present ever!!!isis
2 cat_002catblack159True****All you need is love and a cat.****aanother
3 dog_002dogwhite802FalseLove is a wet nose and a wagging tail.newnew
4 dog_003dogblack250.5FalseBe the person your dog thinks you are.columncolumn
5 ham_001hamsterblack13FalseNo, thank you!II
6 ham_002hamstergolden0.250.2FalseNo, thank you!assignedassigned
7 cat_003catblack100TrueNo, thank you!..
+
pets = pets.drop(columns=['New_column_1', 'New_column_2'])
pets
+
Index IDSpeciesColorWeightAgeIs_CatOwner_Comment
0 dog_001dogblack405False There are no bad dogs, only bad owners.
1 cat_001catgolden1.50.2TrueMy best birthday present ever!!!
2 cat_002catblack159True****All you need is love and a cat.****
3 dog_002dogwhite802FalseLove is a wet nose and a wagging tail.
4 dog_003dogblack250.5FalseBe the person your dog thinks you are.
5 ham_001hamsterblack13FalseNo, thank you!
6 ham_002hamstergolden0.250.2FalseNo, thank you!
7 cat_003catblack100TrueNo, thank you!
+ + \ No newline at end of file diff --git a/docs/building-organizing/df.merge()/index.html b/docs/building-organizing/df.merge()/index.html new file mode 100644 index 00000000..68158750 --- /dev/null +++ b/docs/building-organizing/df.merge()/index.html @@ -0,0 +1,24 @@ + + + + + +df.merge() | bpd + + + + + +

df.merge()

df.merge(right, how='inner', on=column, left_on=left_column, right_on=right_column, left_index=False, right_index=False) +

Merges two DataFrames by specified columns or indexes, using the specified type of merge.

Input:
right : DataFrame
DataFrame to merge with.
how : cross, default 'inner'
Type of merge to be performed.
on : label or list
Column or index names to join on.
left_on : label, list, or array-like
Column or index names to join on the in the left DataFrame.
right_on : label, list, or array-like
Column or index names to join on the in the right DataFrame.
left_index : boolean, default False
Use index from left DataFrame as join key(s).
right_index : boolean, default False
Use index from right DataFrame as join key(s).
Returns:
df_merged - A new DataFrame with the two DataFrames merged on the specified input combinations.
Return Type:
DataFrame
Note:
  • The number of columns merged on the left and right DataFrames must be the same.
  • left_on and left_index cannot happen at the same time. Same as right_on and right_index.
+
+
pets_info = bpd.DataFrame().assign(
    Pet_ID=['dog_001', 'cat_001', 'cat_002', 'dog_002', 'dog_003', 'ham_001'],
    Breed=['Labrador', 'Sphinx', 'Siamese', 'Chihuahua', 'Labrador', 'Roborovski'],
    Owner=['Jason', 'Lauren', 'Cassidy', 'Bobby', 'Dhruv', 'Cassidy']
)
pets_info
+
Index Pet_IDBreedOwner
0 dog_001LabradorJason
1 cat_001SphinxLauren
2 cat_002SiameseCassidy
3 dog_002ChihuahuaBobby
4 dog_003LabradorDhruv
5 ham_001RoborovskiCassidy
+
pets.merge(pets_info, left_on='ID', right_on='Pet_ID')
+
Index IDSpeciesColorWeightAgeIs_CatOwner_CommentPet_IDBreedOwner
0 dog_001dogblack405False There are no bad dogs, only bad owners.dog_001LabradorJason
1 cat_001catgolden1.50.2TrueMy best birthday present ever!!!cat_001SphinxLauren
2 cat_002catblack159True****All you need is love and a cat.****cat_002SiameseCassidy
3 dog_002dogwhite802FalseLove is a wet nose and a wagging tail.dog_002ChihuahuaBobby
4 dog_003dogblack250.5FalseBe the person your dog thinks you are.dog_003LabradorDhruv
5 ham_001hamsterblack13FalseNo, thank you!ham_001RoborovskiCassidy
+
pets_info = pets_info.set_index('Pet_ID')
pets.merge(pets_info, left_on='ID', right_index=True)
+
Index IDSpeciesColorWeightAgeIs_CatOwner_CommentBreedOwner
0 dog_001dogblack405False There are no bad dogs, only bad owners.LabradorJason
1 cat_001catgolden1.50.2TrueMy best birthday present ever!!!SphinxLauren
2 cat_002catblack159True****All you need is love and a cat.****SiameseCassidy
3 dog_002dogwhite802FalseLove is a wet nose and a wagging tail.ChihuahuaBobby
4 dog_003dogblack250.5FalseBe the person your dog thinks you are.LabradorDhruv
5 ham_001hamsterblack13FalseNo, thank you!RoborovskiCassidy
+
pets_info2 = pets_info.assign(ID = pets_info.index)
pets.merge(pets_info2, on='ID')
+
Index IDSpeciesColorWeightAgeIs_CatOwner_CommentBreedOwner
0 dog_001dogblack405False There are no bad dogs, only bad owners.LabradorJason
1 cat_001catgolden1.50.2TrueMy best birthday present ever!!!SphinxLauren
2 cat_002catblack159True****All you need is love and a cat.****SiameseCassidy
3 dog_002dogwhite802FalseLove is a wet nose and a wagging tail.ChihuahuaBobby
4 dog_003dogblack250.5FalseBe the person your dog thinks you are.LabradorDhruv
5 ham_001hamsterblack13FalseNo, thank you!RoborovskiCassidy
+ + \ No newline at end of file diff --git a/docs/building-organizing/df.reset_index()/index.html b/docs/building-organizing/df.reset_index()/index.html new file mode 100644 index 00000000..bbf96965 --- /dev/null +++ b/docs/building-organizing/df.reset_index()/index.html @@ -0,0 +1,22 @@ + + + + + +df.reset_index() | bpd + + + + + +

df.reset_index()

df.reset_index(drop=False) +

Moves the index to a column.

Input:
drop : boolean, default False
If False, adds index as a column to the DataFrame. If True, doesn't add index into the DataFrame.
Returns:
df_without_idx - A new DataFrame with or without the column set as the index
Return Type:
DataFrame
+
+
pets = pets.set_index('ID')
pets
+
Index SpeciesColorWeightAgeIs_CatOwner_Comment
dog_001 dogblack405False There are no bad dogs, only bad owners.
cat_001 catgolden1.50.2TrueMy best birthday present ever!!!
cat_002 catblack159True****All you need is love and a cat.****
dog_002 dogwhite802FalseLove is a wet nose and a wagging tail.
dog_003 dogblack250.5FalseBe the person your dog thinks you are.
ham_001 hamsterblack13FalseNo, thank you!
ham_002 hamstergolden0.250.2FalseNo, thank you!
cat_003 catblack100TrueNo, thank you!
+
# Note that pets DataFrame is not reassigned.
pets.reset_index(drop=True)
+
Index SpeciesColorWeightAgeIs_CatOwner_Comment
0 dogblack405False There are no bad dogs, only bad owners.
1 catgolden1.50.2TrueMy best birthday present ever!!!
2 catblack159True****All you need is love and a cat.****
3 dogwhite802FalseLove is a wet nose and a wagging tail.
4 dogblack250.5FalseBe the person your dog thinks you are.
5 hamsterblack13FalseNo, thank you!
6 hamstergolden0.250.2FalseNo, thank you!
7 catblack100TrueNo, thank you!
+
pets = pets.reset_index()
pets
+
Index IDSpeciesColorWeightAgeIs_CatOwner_Comment
0 dog_001dogblack405False There are no bad dogs, only bad owners.
1 cat_001catgolden1.50.2TrueMy best birthday present ever!!!
2 cat_002catblack159True****All you need is love and a cat.****
3 dog_002dogwhite802FalseLove is a wet nose and a wagging tail.
4 dog_003dogblack250.5FalseBe the person your dog thinks you are.
5 ham_001hamsterblack13FalseNo, thank you!
6 ham_002hamstergolden0.250.2FalseNo, thank you!
7 cat_003catblack100TrueNo, thank you!
+ + \ No newline at end of file diff --git a/docs/building-organizing/df.set_index()/index.html b/docs/building-organizing/df.set_index()/index.html new file mode 100644 index 00000000..3c948ec2 --- /dev/null +++ b/docs/building-organizing/df.set_index()/index.html @@ -0,0 +1,18 @@ + + + + + +df.set_index() | bpd + + + + + +

df.set_index()

df.set_index(column_name) +

Moves a column to the index.

Input:
column_name : string
column name to make as the index
Returns:
df_with_idx - A new DataFrame with the column set as the index
Return Type:
DataFrame
+
+
pets = pets.set_index('ID')
pets
+
Index SpeciesColorWeightAgeIs_CatOwner_Comment
dog_001 dogblack405False There are no bad dogs, only bad owners.
cat_001 catgolden1.50.2TrueMy best birthday present ever!!!
cat_002 catblack159True****All you need is love and a cat.****
dog_002 dogwhite802FalseLove is a wet nose and a wagging tail.
dog_003 dogblack250.5FalseBe the person your dog thinks you are.
ham_001 hamsterblack13FalseNo, thank you!
ham_002 hamstergolden0.250.2FalseNo, thank you!
cat_003 catblack100TrueNo, thank you!
+ + \ No newline at end of file diff --git a/docs/building-organizing/df.sort_values()/index.html b/docs/building-organizing/df.sort_values()/index.html new file mode 100644 index 00000000..5e5f680d --- /dev/null +++ b/docs/building-organizing/df.sort_values()/index.html @@ -0,0 +1,20 @@ + + + + + +df.sort_values() | bpd + + + + + +

df.sort_values()

df.sort_values(by=column_name, ascending=True) +

Sorts the entire DataFrame in ascending order by the values in the column. ascending can be omitted, as it's default value is True

Input:
column_name : string
column name to sort by.
ascending : boolean, default 'True'
sort ascending vs. descending.
Returns:
df_sorted - A new DataFrame with the specified column sorted in ascending/descending.
Return Type:
DataFrame
+
+
pets = pets.sort_values(by='Weight', ascending=True)
pets
+
Index IDSpeciesColorWeightAgeIs_CatOwner_Comment
6 ham_002hamstergolden0.250.2FalseNo, thank you!
5 ham_001hamsterblack13FalseNo, thank you!
1 cat_001catgolden1.50.2TrueMy best birthday present ever!!!
7 cat_003catblack100TrueNo, thank you!
2 cat_002catblack159True****All you need is love and a cat.****
4 dog_003dogblack250.5FalseBe the person your dog thinks you are.
0 dog_001dogblack405False There are no bad dogs, only bad owners.
3 dog_002dogwhite802FalseLove is a wet nose and a wagging tail.
+
pets = pets.sort_values(by='Age', ascending=False)
pets
+
Index IDSpeciesColorWeightAgeIs_CatOwner_Comment
2 cat_002catblack159True****All you need is love and a cat.****
0 dog_001dogblack405False There are no bad dogs, only bad owners.
5 ham_001hamsterblack13FalseNo, thank you!
3 dog_002dogwhite802FalseLove is a wet nose and a wagging tail.
4 dog_003dogblack250.5FalseBe the person your dog thinks you are.
1 cat_001catgolden1.50.2TrueMy best birthday present ever!!!
6 ham_002hamstergolden0.250.2FalseNo, thank you!
7 cat_003catblack100TrueNo, thank you!
+ + \ No newline at end of file diff --git a/docs/building-organizing/index.html b/docs/building-organizing/index.html new file mode 100644 index 00000000..7f3bb2d2 --- /dev/null +++ b/docs/building-organizing/index.html @@ -0,0 +1,30 @@ + + + + + +Building and Organizing DataFrames | bpd + + + + + +

Building and Organizing DataFrames

Each function/method creates a new DataFrame. Remember to save it!

+

Manipulating​

+
+

bpd.DataFrame()

Creates an empty DataFrame.

+

bpd.read_csv(filepath)

Read a comma-separated values (csv) file into DataFrame.

+

df.assign(name_of_column=column_data)

Adds a new column to the DataFrame.

+

df.drop(columns=column_name or [col_1_name, ..., col_k_name])

Drops a single column, or every column in a list of column names.

+

Indexing​

+
+

df.set_index(column_name)

Moves a column to the index.

+

Organizing​

+
+

df.reset_index(drop=False)

Moves a column to the index.

+

df.sort_values(by=column_name, ascending=True)

Sorts the entire DataFrame in ascending order by the values in the column.

+

Merging​

+
+

df.merge(right, how='inner', on=column, left_on=left_column, right_on=right_column, left_index=False, right_index=False)

Merges two DataFrames by specified columns or indexes, using the specified type of merge.

+ + \ No newline at end of file diff --git a/docs/category/accessing-data/index.html b/docs/category/accessing-data/index.html new file mode 100644 index 00000000..f1baf0b9 --- /dev/null +++ b/docs/category/accessing-data/index.html @@ -0,0 +1,14 @@ + + + + + +Accessing Data | bpd + + + + + +

Accessing Data

How to access data in DataFrames and Series

+ + \ No newline at end of file diff --git a/docs/category/arrays-and-numpy/index.html b/docs/category/arrays-and-numpy/index.html new file mode 100644 index 00000000..43ae12a9 --- /dev/null +++ b/docs/category/arrays-and-numpy/index.html @@ -0,0 +1,14 @@ + + + + + +Arrays and NumPy | bpd + + + + + +

Arrays and NumPy

Functions/methods for working with arrays and NumPy

+ + \ No newline at end of file diff --git a/docs/category/if-statements/index.html b/docs/category/if-statements/index.html new file mode 100644 index 00000000..b84afc95 --- /dev/null +++ b/docs/category/if-statements/index.html @@ -0,0 +1,14 @@ + + + + + +if-statements | bpd + + + + + +

if-statements

Conditionals

+ + \ No newline at end of file diff --git a/docs/category/plotting/index.html b/docs/category/plotting/index.html new file mode 100644 index 00000000..7f343f94 --- /dev/null +++ b/docs/category/plotting/index.html @@ -0,0 +1,14 @@ + + + + + +Plotting | bpd + + + + + +

Plotting

Plotting and visualization of DataFrames

+ + \ No newline at end of file diff --git a/docs/for-loops/index.html b/docs/for-loops/index.html new file mode 100644 index 00000000..f28e086e --- /dev/null +++ b/docs/for-loops/index.html @@ -0,0 +1,29 @@ + + + + + +for-loops | bpd + + + + + +

for-loops

for <loop variable> in <sequence>:
+       <loop body>

+

Performs the loop body for every element of the sequence.

Components:
loop variable : variable
Variable that will take on the value of every element in the +sequence at some point in the loop. Any valid variable is acceptable.
sequence : iterable object
e.g. Arrays, Lists, Strings
loop body :
Code to be executed for every element in sequence.
Results:
Output of loop body
+
+
pets
+
Index IDSpeciesAgeWeight
0 dog_001dog540
1 cat_001cat0.21.5
2 cat_002cat915
3 dog_002dog280
4 dog_003dog0.525
5 ham_001hamster31
6 ham_002hamster0.20.25
7 cat_003cat010
+
for i in np.arange(pets.shape[0]):
    chosen_pet = pets.iloc[i]
    pet_id = chosen_pet.get('ID')
    species = chosen_pet.get('Species')
    age = chosen_pet.get('Age')
    weight = chosen_pet.get('Weight')
    print("This is a " + species + " with pet id " + str(pet_id) +', age ' + str(age) +', and weight '+str(weight))
+

This is a dog with pet id dog_001, age 5.0, and weight 40.0
+This is a cat with pet id cat_001, age 0.2, and weight 1.5
+This is a cat with pet id cat_002, age 9.0, and weight 15.0
+This is a dog with pet id dog_002, age 2.0, and weight 80.0
+This is a dog with pet id dog_003, age 0.5, and weight 25.0
+This is a hamster with pet id ham_001, age 3.0, and weight 1.0
+This is a hamster with pet id ham_002, age 0.2, and weight 0.25
+This is a cat with pet id cat_003, age 0.0, and weight 10.0

+ + \ No newline at end of file diff --git a/docs/grouping/aggregation/count()/index.html b/docs/grouping/aggregation/count()/index.html new file mode 100644 index 00000000..47733075 --- /dev/null +++ b/docs/grouping/aggregation/count()/index.html @@ -0,0 +1,20 @@ + + + + + +count() | bpd + + + + + +

count()

df.groupby(column_name).count() +

Returns a DataFrame, with rows as groups, and all columns as the number of rows in each group.

Note:
All columns have the same value. It is advised to drop and rename the columns.
+
+
pets
+
Index SpeciesColorWeightAge
0 dogblack405
1 catgolden158
2 catblack209
3 dogwhite802
4 dogblack250.5
5 hamsterblack13
6 hamstergolden0.250.2
+
pets.groupby('Species').count()
+
Index IDColorWeightAge
cat 2222
dog 3333
hamster 2222
+ + \ No newline at end of file diff --git a/docs/grouping/aggregation/max()/index.html b/docs/grouping/aggregation/max()/index.html new file mode 100644 index 00000000..096fdea3 --- /dev/null +++ b/docs/grouping/aggregation/max()/index.html @@ -0,0 +1,20 @@ + + + + + +max() | bpd + + + + + +

max()

df.groupby(column_name).max() +

Returns a DataFrame, with rows as groups, and each column as the max of the column values within each group.

Note:
Columns with String values display the maximum alphabetical starting character (ex. "white" is alphabetically after "black" and "golden").
+
+
pets
+
Index SpeciesColorWeightAge
0 dogblack405
1 catgolden158
2 catblack209
3 dogwhite802
4 dogblack250.5
5 hamsterblack13
6 hamstergolden0.250.2
+
pets.groupby('Species').max()
+
Index IDColorWeightAgeIs_CatOwner_Comment
cat cat_003golden159TrueNo, thank you!
dog dog_003white805FalseLove is a wet nose and a wagging tail.
hamster ham_002golden13FalseNo, thank you!
+ + \ No newline at end of file diff --git a/docs/grouping/aggregation/mean()/index.html b/docs/grouping/aggregation/mean()/index.html new file mode 100644 index 00000000..e89d6b7d --- /dev/null +++ b/docs/grouping/aggregation/mean()/index.html @@ -0,0 +1,20 @@ + + + + + +mean() | bpd + + + + + +

mean()

df.groupby(column_name).mean() +

Returns a DataFrame, with rows as groups, and each column as the mean of the column values within each group.

Note:
Only for columns of type int or float, all other columns are automatically dropped.
+
+
pets
+
Index SpeciesColorWeightAge
0 dogblack405
1 catgolden158
2 catblack209
3 dogwhite802
4 dogblack250.5
5 hamsterblack13
6 hamstergolden0.250.2
+
pets.groupby('Species').mean()
+
Index WeightAgeIs_Cat
cat 8.83333333333.06666666671
dog 48.33333333332.50
hamster 0.6251.60
+ + \ No newline at end of file diff --git a/docs/grouping/aggregation/median()/index.html b/docs/grouping/aggregation/median()/index.html new file mode 100644 index 00000000..952bb07c --- /dev/null +++ b/docs/grouping/aggregation/median()/index.html @@ -0,0 +1,20 @@ + + + + + +median() | bpd + + + + + +

median()

df.groupby(column_name).median() +

Returns a DataFrame, with rows as groups, and each column as the median of the column values within each group.

Note:
Only for columns of type int or float, all other columns are automatically dropped.
+
+
pets
+
Index SpeciesColorWeightAge
0 dogblack405
1 catgolden158
2 catblack209
3 dogwhite802
4 dogblack250.5
5 hamsterblack13
6 hamstergolden0.250.2
+
pets.groupby('Species').median()
+
Index WeightAgeIs_Cat
cat 100.21
dog 4020
hamster 0.6251.60
+ + \ No newline at end of file diff --git a/docs/grouping/aggregation/min()/index.html b/docs/grouping/aggregation/min()/index.html new file mode 100644 index 00000000..b94ab9b9 --- /dev/null +++ b/docs/grouping/aggregation/min()/index.html @@ -0,0 +1,20 @@ + + + + + +min() | bpd + + + + + +

min()

df.groupby(column_name).min() +

Returns a DataFrame, with rows as groups, and each column as the min of the column values within each group.

Note:
Columns with String values display the minimum alphabetical starting character (ex. "black" is alphabetically before "golden" and "white").
+
+
pets
+
Index SpeciesColorWeightAge
0 dogblack405
1 catgolden158
2 catblack209
3 dogwhite802
4 dogblack250.5
5 hamsterblack13
6 hamstergolden0.250.2
+
pets.groupby('Species').min()
+
Index IDColorWeightAgeIs_CatOwner_Comment
cat cat_001black1.50True****All you need is love and a cat.****
dog dog_001black250.5False There are no bad dogs, only bad owners.
hamster ham_001black0.250.2FalseNo, thank you!
+ + \ No newline at end of file diff --git a/docs/grouping/aggregation/sum()/index.html b/docs/grouping/aggregation/sum()/index.html new file mode 100644 index 00000000..f905e42b --- /dev/null +++ b/docs/grouping/aggregation/sum()/index.html @@ -0,0 +1,20 @@ + + + + + +sum() | bpd + + + + + +

sum()

df.groupby(column_name).sum() +

Returns a DataFrame, with rows as groups, and each column as the sum of the column values within each group.

Note:
Only for columns of type int or float, all other columns are automatically dropped.
+
+
pets
+
Index SpeciesColorWeightAge
0 dogblack405
1 catgolden158
2 catblack209
3 dogwhite802
4 dogblack250.5
5 hamsterblack13
6 hamstergolden0.250.2
+
pets.groupby('Species').sum()
+
Index WeightAgeIs_Cat
cat 26.59.23
dog 1457.50
hamster 1.253.20
+ + \ No newline at end of file diff --git a/docs/grouping/groupby/index.html b/docs/grouping/groupby/index.html new file mode 100644 index 00000000..35be122d --- /dev/null +++ b/docs/grouping/groupby/index.html @@ -0,0 +1,29 @@ + + + + + +groupby | bpd + + + + + +

groupby

df.groupby(column_name) +or +df.groupby([column_names]) +

Groups all DataFrame rows with the same value in column_name or list of column_names.

A groupby operation groups large amounts of data based on the column name(s)

Input:
column_name : string
Groups by the column specified. The column becomes the index.
column_names : list (of strings)
Groups by all listed columns, starting with the first one in the list. The columns become the indices.
Returns:
A new DataFrame with the parameter column(s) as the index and all other columns grouped.
Return Type:
DataFrame
Note:
Grouping without an aggregate method will return DataFrameGroupBy (not a DataFrame)

Aggregate Methods
+.mean()   .median()   .count()   .max()   .min()   .sum()

+
+
pets
+
Index SpeciesColorWeightAge
0 dogblack405
1 catgolden158
2 catblack209
3 dogwhite802
4 dogblack250.5
5 hamsterblack13
6 hamstergolden0.250.2
+

+

.groupby() with one column

+
pets.groupby('Species').count()
+
Index IDColorWeightAge
cat 2222
dog 3333
hamster 2222
+

+

.groupby() with multiple columns

+
pets.groupby(['Species', 'Color']).count().reset_index()
+
Index SpeciesColorIDWeightAgeIs_CatOwner_Comment
0 catblack22222
1 catgolden11111
2 dogblack22222
3 dogwhite11111
4 hamsterblack11111
5 hamstergolden11111
+ + \ No newline at end of file diff --git a/docs/if-statements/Logical Operators/index.html b/docs/if-statements/Logical Operators/index.html new file mode 100644 index 00000000..950829b3 --- /dev/null +++ b/docs/if-statements/Logical Operators/index.html @@ -0,0 +1,29 @@ + + + + + +Logical Operators | bpd + + + + + +

Logical Operators

if <condition> and <condition>:
+       <if body>
+if <condition> or <condition>:
+       <if body>
+if not(<condition>):
+       <if body>

+

Allows for multiple conditions to be combined at the same time.

Operators:
and :
If all conditions are satisfied, the if body is executed.
or :
If at least one of the conditions is satisfied, the if body is executed.
not :
If the reverse of the condition is satisfied, the if body is executed.
Returns:
True or False
Return Type:
Boolean
+
+
Index IDSpeciesColorWeightAge
0 dog_001dogblack405
1 cat_001catgolden1.50.2
2 cat_002catblack159
3 dog_002dogwhite802
4 dog_003dogblack250.5
5 ham_001hamsterblack13
6 ham_002hamstergolden0.250.2
7 cat_003catblack100
+
def more_descriptive_name(id_str, species, color, weight, age):
    return id_str + ': This ' + color + ' ' + species + ' weighs ' + weight + ' lbs and is ' + age + ' years old'
    
def cat_and_dog_info(pet_id):
    id_arr = np.array(pets.get('ID'))
    if pet_id not in id_arr:
        return 'This pet is not in our record'
    pets_info = pets[pets.get('ID') == pet_id]
    age = pets_info.get('Age').iloc[0]
    weight = pets_info.get('Weight').iloc[0]
    species = pets_info.get('Species').iloc[0]
    color = pets_info.get('Color').iloc[0]
    if (species == 'dog') and (age < 1.5):
        return pet_id + ': This is a puppy 🐶'
    elif (species == 'cat') and (age < 1):
        return pet_id + ': This is a kitten 🐱'
    elif (species == 'dog') or (species == 'cat'):
        weight = str(weight)
        age = str(age)
        return more_descriptive_name(pet_id, species, color, weight, age)
+
cat_and_dog_info('dog_001')
+

'dog_001: This black dog weighs 40.0 lbs and is 5.0 years old'

+
cat_and_dog_info('cat_001')
+

'cat_001: This is a kitten 🐱'

+
cat_and_dog_info('cat_009')
+

'This pet is not in our record'

+ + \ No newline at end of file diff --git a/docs/if-statements/if-elif-else/index.html b/docs/if-statements/if-elif-else/index.html new file mode 100644 index 00000000..89c72f21 --- /dev/null +++ b/docs/if-statements/if-elif-else/index.html @@ -0,0 +1,34 @@ + + + + + +if-elif-else | bpd + + + + + +

if-elif-else

if <condition>:
+       <if body>
+ elif <second_condition>:
+       <elif body>
+ elif <third_condition>:
+       <elif body>
+ ...
+ else:
+       <else body>

+

Conditionally execute code. The elif and else blocks are optional.

Components:
if <condition>:
If the condition is True, the body of the if statement is executed. Condition will be checked even if +another if condition is fulfilled.
elif <condition>:
If the if condition is False, code moves onto the elif statement and checks the condition. If an if statement was executed, the elif conditions will not be checked.
else <condition>:
If none of the if and elif conditions are met, the else body will execute.
+
+
pets = bpd.read_csv('pets.csv')
pets
+
Index IDSpeciesColorWeightAge
0 dog_001dogblack405
1 cat_001catgolden1.50.2
2 cat_002catblack159
3 dog_002dogwhite802
4 dog_003dogblack250.5
5 ham_001hamsterblack13
6 ham_002hamstergolden0.250.2
7 cat_003catblack100
+
def more_descriptive_name(id_str, species, color, weight, age):
    return id_str + ': This ' + color + ' ' + species + ' weighs ' + weight + ' lbs and is ' + age + ' years old'
    
def cat_and_dog_info(pet_id):
    id_arr = np.array(pets.get('ID'))
    if pet_id not in id_arr:
        return 'This pet is not in our record'
    pets_info = pets[pets.get('ID') == pet_id]
    age = pets_info.get('Age').iloc[0]
    weight = pets_info.get('Weight').iloc[0]
    species = pets_info.get('Species').iloc[0]
    color = pets_info.get('Color').iloc[0]
    if (species == 'dog') and (age < 1.5):
        return pet_id + ': This is a puppy 🐶'
    elif (species == 'cat') and (age < 1):
        return pet_id + ': This is a kitten 🐱'
    elif (species == 'dog') or (species == 'cat'):
        weight = str(weight)
        age = str(age)
        return more_descriptive_name(pet_id, species, color, weight, age)
        
    else:
        return pet_id + ': This pet is not a dog or a cat'
+
cat_and_dog_info('dog_001')
+

'dog_001: This black dog weighs 40.0 lbs and is 5.0 years old'

+
cat_and_dog_info('cat_001')
+

'cat_001: This is a kitten 🐱'

+
cat_and_dog_info('cat_009')
+

'This pet is not in our record'

+ + \ No newline at end of file diff --git "a/docs/if-statements/in \342\201\204 not in/index.html" "b/docs/if-statements/in \342\201\204 not in/index.html" new file mode 100644 index 00000000..d0753fb0 --- /dev/null +++ "b/docs/if-statements/in \342\201\204 not in/index.html" @@ -0,0 +1,24 @@ + + + + + +in ⁄ not in | bpd + + + + + +

in ⁄ not in

if <object> in <sequence>:
+       <if body>
+if <object> not in <sequence>:
+       <if body>

+

Checks for membership of object within a sequence,

Operators:
in :
Checks if object is a member of a sequence
not in :
Checks if object is not a member of a sequence
Returns:
True or False
Return Type:
Boolean
+
+
id_ser = pets.get('ID')
id_ser
+
  • 0"dog_001"
  • 1"cat_001"
  • 2"cat_002"
  • 3"dog_002"
  • 4"dog_003"
  • 5"ham_001"
  • 6"ham_002"
  • 7"cat_003"
Name: ID, dtype: object
+
def cat_and_dog_info(pet_id):
    id_arr = np.array(pets.get('ID'))
    if pet_id not in id_arr:
        return 'This pet is not in our record'
+
cat_and_dog_info('cat_009')
+

'This pet is not in our record'

+ + \ No newline at end of file diff --git a/docs/intro/index.html b/docs/intro/index.html new file mode 100644 index 00000000..4b77d464 --- /dev/null +++ b/docs/intro/index.html @@ -0,0 +1,25 @@ + + + + + +intro | bpd + + + + + +

BabyPandas Documentation

+

Assumption: Assume that df is a DataFrame, ser is a Series, arr is an array, and we already run import babypandas as bpd and import numpy as np.

+
+

Composition: There are two sections in this documentation: BabyPandas, and Statistical Inference and Regression.

+

BabyPandas (Section 1)​

+

This section contains common methods in the BabyPandas package. For examples in this section, refer to the pets DataFrame.

+
pets
+
Index IDSpeciesColorWeightAgeIs_CatOwner_Comment
0 dog_001dogblack405False There are no bad dogs, only bad owners.
1 cat_001catgolden1.50.2TrueMy best birthday present ever!!!
2 cat_002catblack159True****All you need is love and a cat.****
3 dog_002dogwhite802FalseLove is a wet nose and a wagging tail.
4 dog_003dogblack250.5FalseBe the person your dog thinks you are.
5 ham_001hamsterblack13FalseNo, thank you!
6 ham_002hamstergolden0.250.2FalseNo, thank you!
7 cat_003catblack100TrueNo, thank you!
+

Statistical Inference and Regression (Section 2)​

+

This section contains explanations and code implementations of theories covered in DSC 10. For examples in this section, refer to the full_pets DataFrame, which has more data than pets DataFrame.

+
full_pets
+
Index IDSpeciesColorWeightAgeIs_CatOwner_Comment
0 dog_001dogblack405False There are no bad dogs, only bad owners.
1 cat_001catgolden1.50.2TrueMy best birthday present ever!!!
2 cat_002catblack159True****All you need is love and a cat.****
3 dog_002dogwhite802FalseLove is a wet nose and a wagging tail.
4 dog_003dogblack250.5FalseBe the person your dog thinks you are.
5 ham_001hamsterblack13FalseNo, thank you!
6 ham_002hamstergolden0.250.2FalseNo, thank you!
7 cat_003catblack100TrueNo, thank you!
8 dog_004dogblack456.7FalseNo, thank you!
9 dog_005dogwhite107FalseNo, thank you!
10 dog_006doggolden354FalseNo, thank you!
11 cat_004catblack101.2TrueNo, thank you!
12 cat_005catwhite152.5TrueNo, thank you!
13 ham_003hamsterblack0.50.1FalseNo, thank you!
14 dog_007dogwhite506.1FalseNo, thank you!
15 ham_004hamstergolden0.250.2FalseNo, thank you!
16 dog_008dogblack405FalseNo, thank you!
17 dog_009dogwhite304.8FalseNo, thank you!
18 cat_006catblack30.5TrueNo, thank you!
+ + \ No newline at end of file diff --git a/docs/plotting/histogram/index.html b/docs/plotting/histogram/index.html new file mode 100644 index 00000000..30384773 --- /dev/null +++ b/docs/plotting/histogram/index.html @@ -0,0 +1,20 @@ + + + + + +histogram | bpd + + + + + +

histogram

df.plot(kind='hist', y=data_col, bins=the_bins, density=True) +

Create a histogram using a DataFrame.

Input:
kind : string
To create a histogram, use kind='hist'
y : label
Column to calculate frequency/probability density.
bins : integer or array
If integer, number of bins to use.
If array, specifies the bin edges.
density : boolean, default False
If False, y-axis plots the number of observations.
If True, y-axis plots the probability density.
Returns:
plot - Matplotlib plot created using parameters.
Return Type:
Matplotlib plot
Note:
  • In a histogram, only the last bin is inclusive of the right endpoint! [left, right)
  • The bins you specity don't have to include all data values; data values not in any bin won't be shown in the histogram.
+
+
pets.plot(kind='hist', y='Age', bins=np.arange(0, 15, 3), density=True)
+

Histogram example 1

+
pets.plot(kind='hist', y='Weight', bins=5, density=True)
+

Histogram example 2

+ + \ No newline at end of file diff --git a/docs/series-methods/index.html b/docs/series-methods/index.html new file mode 100644 index 00000000..46fbedd9 --- /dev/null +++ b/docs/series-methods/index.html @@ -0,0 +1,34 @@ + + + + + +Series Methods | bpd + + + + + +

Series Methods

Methods that can be performed on a Series.

+

Aggregation​

+
+

ser.count()

Returns the number of non-NA/null observations in the Series.

+

ser.max()

Returns the maximum of the values in the Series.

+

ser.min()

Returns the minimum of the values in the Series.

+

ser.sum()

Returns the sum of the values in the Series.

+

ser.mean()

Returns the mean of the values in the Series.

+

ser.median()

Returns the median of the values in the Series.

+

ser.unique()

Returns the unique values in the Series.

+

String​

+
+

ser.str.split()

Splits each string element in the Series from the beginning, at the specified seperator/delimiter string.

+

ser.str.strip(to_remove=None)

Removes the specified character from each string in the Series from left and right sides.

+

ser.str.lower()

Converts strings in the Series to lowercase.

+

ser.str.upper()

Converts strings in the Series to uppercase.

+

ser.str.capitalize()

Converts every first character in Series' elements to be capitalized.

+

ser.str.title()

Converts strings in the Series to be titlecased.

+

ser.str.replace(old, new, count=-1)

Substitutes the 'old' string with the 'new' string in each element of the Series, limiting the number of replacements to 'count' occurrences.

+

ser.str.len()

Counts the number of characters in the Series for each element.

+

ser.str.contains(substring)

Tests if a substring is contained within each element of the Series.

+ + \ No newline at end of file diff --git a/docs/series-methods/ser.count()/index.html b/docs/series-methods/ser.count()/index.html new file mode 100644 index 00000000..4a40e7a4 --- /dev/null +++ b/docs/series-methods/ser.count()/index.html @@ -0,0 +1,20 @@ + + + + + +ser.count() | bpd + + + + + +

ser.count()

ser.count() +

Returns number of non-NA/null observations in the Series. Essentially the length of a Series, assuming that every row has an observation.

+
+
weight_ser = pets.get('Weight')
weight_ser
+
  • 040
  • 11.5
  • 215
  • 380
  • 425
  • 51
  • 60.25
  • 710
Name: Weight, dtype: float64
+
weight_ser.count()
+

8

+ + \ No newline at end of file diff --git a/docs/series-methods/ser.max()/index.html b/docs/series-methods/ser.max()/index.html new file mode 100644 index 00000000..c491444c --- /dev/null +++ b/docs/series-methods/ser.max()/index.html @@ -0,0 +1,20 @@ + + + + + +ser.max() | bpd + + + + + +

ser.max()

ser.max() +

Returns the maximum of the values in the Series.

+
+
weight_ser = pets.get('Weight')
weight_ser
+
  • 040
  • 11.5
  • 215
  • 380
  • 425
  • 51
  • 60.25
  • 710
Name: Weight, dtype: float64
+
weight_ser.max()
+

80.0

+ + \ No newline at end of file diff --git a/docs/series-methods/ser.mean()/index.html b/docs/series-methods/ser.mean()/index.html new file mode 100644 index 00000000..0c3a04c3 --- /dev/null +++ b/docs/series-methods/ser.mean()/index.html @@ -0,0 +1,20 @@ + + + + + +ser.mean() | bpd + + + + + +

ser.mean()

ser.mean() +

Returns the mean of the values in the Series.

+
+
weight_ser = pets.get('Weight')
weight_ser
+
  • 040
  • 11.5
  • 215
  • 380
  • 425
  • 51
  • 60.25
  • 710
Name: Weight, dtype: float64
+
weight_ser.mean()
+

21.59375

+ + \ No newline at end of file diff --git a/docs/series-methods/ser.median()/index.html b/docs/series-methods/ser.median()/index.html new file mode 100644 index 00000000..6a686cf0 --- /dev/null +++ b/docs/series-methods/ser.median()/index.html @@ -0,0 +1,20 @@ + + + + + +ser.median() | bpd + + + + + +

ser.median()

ser.median() +

Returns the median of the values in the Series.

+
+
weight_ser = pets.get('Weight')
weight_ser
+
  • 040
  • 11.5
  • 215
  • 380
  • 425
  • 51
  • 60.25
  • 710
Name: Weight, dtype: float64
+
weight_ser.median()
+

12.5

+ + \ No newline at end of file diff --git a/docs/series-methods/ser.min()/index.html b/docs/series-methods/ser.min()/index.html new file mode 100644 index 00000000..51a19f26 --- /dev/null +++ b/docs/series-methods/ser.min()/index.html @@ -0,0 +1,20 @@ + + + + + +ser.min() | bpd + + + + + +

ser.min()

ser.min() +

Returns the minimum of the values in the Series.

+
+
weight_ser = pets.get('Weight')
weight_ser
+
  • 040
  • 11.5
  • 215
  • 380
  • 425
  • 51
  • 60.25
  • 710
Name: Weight, dtype: float64
+
weight_ser.min()
+

0.25

+ + \ No newline at end of file diff --git a/docs/series-methods/ser.str.capitalize()/index.html b/docs/series-methods/ser.str.capitalize()/index.html new file mode 100644 index 00000000..baef8552 --- /dev/null +++ b/docs/series-methods/ser.str.capitalize()/index.html @@ -0,0 +1,22 @@ + + + + + +ser.str.capitalize() | bpd + + + + + +

ser.str.capitalize()

ser.str.capitalize() +

Converts strings in the Series to be capitalized. Only the first character in the string will be capitalized.

Returns:
Returns a Series with each element's first character capitalized.
Return Type:
Series
+
+
comment_ser = pets.get('Owner_Comment')
comment_ser
+
  • 0" There are no bad dogs, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"****All you need is love and a cat.****"
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your dog thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+
#notice capitalize() only works when there are no special characters before the first letter in the sentence. 
comment_ser.str.capitalize()
+
  • 0" there are no bad dogs, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"****all you need is love and a cat.****"
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your dog thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+
#after removing special characters, capitalize() will work
#also an example of how to use multiple str methods on a bpd Series
comment_ser.str.strip().str.capitalize()
+
  • 0"There are no bad dogs, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"****all you need is love and a cat.****"
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your dog thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+ + \ No newline at end of file diff --git a/docs/series-methods/ser.str.contains()/index.html b/docs/series-methods/ser.str.contains()/index.html new file mode 100644 index 00000000..d2f1029f --- /dev/null +++ b/docs/series-methods/ser.str.contains()/index.html @@ -0,0 +1,20 @@ + + + + + +ser.str.contains() | bpd + + + + + +

ser.str.contains()

ser.str.contains(substring) +

Tests if a substring is contained within each element of the Series.

Input:
substring : string
String to search for.
Returns:
Returns a Series with a boolean value for each element expressing if each element contained the inputted substring.
Return Type:
Series
+
+
comment_ser = pets.get('Owner_Comment')
comment_ser
+
  • 0" There are no bad dogs, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"****All you need is love and a cat.****"
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your dog thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+
comment_ser.str.contains('dog')
+
  • 0True
  • 1False
  • 2False
  • 3False
  • 4True
  • 5False
  • 6False
  • 7False
Name: Owner_Comment, dtype: bool
+ + \ No newline at end of file diff --git a/docs/series-methods/ser.str.len()/index.html b/docs/series-methods/ser.str.len()/index.html new file mode 100644 index 00000000..844b8b1a --- /dev/null +++ b/docs/series-methods/ser.str.len()/index.html @@ -0,0 +1,20 @@ + + + + + +ser.str.len() | bpd + + + + + +

ser.str.len()

ser.str.len() +

Counts the number of characters in the Series for each element.

Returns:
Returns a Series with the number of characters for each element.
Return Type:
Series
+
+
comment_ser = pets.get('Owner_Comment')
comment_ser
+
  • 0" There are no bad dogs, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"****All you need is love and a cat.****"
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your dog thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+
comment_ser.str.len()
+
  • 045
  • 132
  • 239
  • 338
  • 438
  • 514
  • 614
  • 714
Name: Owner_Comment, dtype: int64
+ + \ No newline at end of file diff --git a/docs/series-methods/ser.str.lower()/index.html b/docs/series-methods/ser.str.lower()/index.html new file mode 100644 index 00000000..f9c1be11 --- /dev/null +++ b/docs/series-methods/ser.str.lower()/index.html @@ -0,0 +1,20 @@ + + + + + +ser.str.lower() | bpd + + + + + +

ser.str.lower()

ser.str.lower() +

Converts strings in the Series to lowercase.

Returns:
Returns a Series with each element lowercased.
Return Type:
Series
+
+
comment_ser = pets.get('Owner_Comment')
comment_ser
+
  • 0" There are no bad dogs, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"****All you need is love and a cat.****"
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your dog thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+
comment_ser.str.lower()
+
  • 0" there are no bad dogs, only bad owners."
  • 1"my best birthday present ever!!!"
  • 2"****all you need is love and a cat.****"
  • 3"love is a wet nose and a wagging tail."
  • 4"be the person your dog thinks you are."
  • 5"no, thank you!"
  • 6"no, thank you!"
  • 7"no, thank you!"
Name: Owner_Comment, dtype: object
+ + \ No newline at end of file diff --git a/docs/series-methods/ser.str.replace()/index.html b/docs/series-methods/ser.str.replace()/index.html new file mode 100644 index 00000000..a082b74b --- /dev/null +++ b/docs/series-methods/ser.str.replace()/index.html @@ -0,0 +1,24 @@ + + + + + +ser.str.replace() | bpd + + + + + +

ser.str.replace()

ser.str.replace(old, new, count=-1) +

Substitutes the 'old' string with the 'new' string in each element of the Series, limiting the number of replacements to 'count' occurrences.

Input:
old : string
String to replace.
new : string
Replacement string.
count : int, default -1
Maximum number of occurences to replace. -1 (the default value) means replace all occurences.
Returns:
Returns a Series with the substring old replaced by the new for count number of times.
Return Type:
Series
+
+
comment_ser = pets.get('Owner_Comment')
comment_ser
+
  • 0" There are no bad dogs, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"****All you need is love and a cat.****"
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your dog thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+
comment_ser.str.replace('dog', 'cat')
+
  • 0" There are no bad cats, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"****All you need is love and a cat.****"
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your cat thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+
comment_ser.str.replace('dog', 'cat').str.replace('birthday', '🍰')
+
  • 0" There are no bad cats, only bad owners."
  • 1"My best 🍰 present ever!!!"
  • 2"****All you need is love and a cat.****"
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your cat thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+
# Only replaces the first instance of 'bad'
comment_ser.str.replace('bad', 'naughty', 1)
+
  • 0" There are no troublesome dogs, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"****All you need is love and a cat.****"
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your dog thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+ + \ No newline at end of file diff --git a/docs/series-methods/ser.str.split()/index.html b/docs/series-methods/ser.str.split()/index.html new file mode 100644 index 00000000..c99e8bc9 --- /dev/null +++ b/docs/series-methods/ser.str.split()/index.html @@ -0,0 +1,26 @@ + + + + + +ser.str.split() | bpd + + + + + +

ser.str.split()

ser.str.split() +or +ser.str.split(seperator) +

Splits each string element in the Series from the beginning, at the specified seperator/delimiter string.

Input:
seperator : string
String to split on. If not specified, split on whitespace.
Returns:
Returns a Series with each element as a list of strings split from the original string.
Return Type:
Series
+
+
comment_ser = pets.get('Owner_Comment')
comment_ser
+
  • 0" There are no bad dogs, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"****All you need is love and a cat.****"
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your dog thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+


In the default setting, the string is split by whitespace.

+
comment_ser.str.split()
+
  • 0["There","are","no","bad","dogs,","only","bad","owners."]
  • 1["My","best","birthday","present","ever!!!"]
  • 2["****All","you","need","is","love","and","a","cat.****"]
  • 3["Love","is","a","wet","nose","and","a","wagging","tail."]
  • 4["Be","the","person","your","dog","thinks","you","are."]
  • 5["No,","thank","you!"]
  • 6["No,","thank","you!"]
  • 7["No,","thank","you!"]
Name: Owner_Comment, dtype: object
+


Split the string by specified seperator.

+
comment_ser.str.split(',')
+
  • 0[" There are no bad dogs"," only bad owners."]
  • 1["My best birthday present ever!!!"]
  • 2["****All you need is love and a cat.****"]
  • 3["Love is a wet nose and a wagging tail."]
  • 4["Be the person your dog thinks you are."]
  • 5["No"," thank you!"]
  • 6["No"," thank you!"]
  • 7["No"," thank you!"]
Name: Owner_Comment, dtype: object
+ + \ No newline at end of file diff --git a/docs/series-methods/ser.str.strip()/index.html b/docs/series-methods/ser.str.strip()/index.html new file mode 100644 index 00000000..a848e4e1 --- /dev/null +++ b/docs/series-methods/ser.str.strip()/index.html @@ -0,0 +1,27 @@ + + + + + +ser.str.strip() | bpd + + + + + +

ser.str.strip()

ser.str.strip(to_remove=None) +

Removes the specified character from each string in the Series from left and right sides.

Input:
to_remove : string or None, default None
Set or characters to be removed. All combinations of this set of characters will be stripped. If default argument, removes whitespace (including newlines).
Returns:
Returns a Series with each element as a list of strings stripped by the specified set of characters.
Return Type:
Series
+
+
comment_ser = pets.get('Owner_Comment')
comment_ser
+
  • 0" There are no bad dogs, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"****All you need is love and a cat.****"
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your dog thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+
comment_ser.str.strip()
+
  • 0"There are no bad dogs, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"****All you need is love and a cat.****"
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your dog thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+
comment_ser.str.strip('*')
+
  • 0" There are no bad dogs, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"All you need is love and a cat."
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your dog thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+
# Notice how nothing changes
comment_ser.str.strip('?')
+
  • 0" There are no bad dogs, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"****All you need is love and a cat.****"
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your dog thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+


Remove a set of characters simultaneously. (e.g. remove both * and whitespace)

+
comment_ser.str.strip('* ')
+
  • 0"There are no bad dogs, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"All you need is love and a cat."
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your dog thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+ + \ No newline at end of file diff --git a/docs/series-methods/ser.str.title()/index.html b/docs/series-methods/ser.str.title()/index.html new file mode 100644 index 00000000..0cb085cc --- /dev/null +++ b/docs/series-methods/ser.str.title()/index.html @@ -0,0 +1,20 @@ + + + + + +ser.str.title() | bpd + + + + + +

ser.str.title()

ser.str.title() +

Converts strings in the Series to titlecase. Every beginning character to a string of letters will be uppercased.

Returns:
Returns a Series with each element titlecased.
Return Type:
Series
+
+
comment_ser = pets.get('Owner_Comment')
comment_ser
+
  • 0" There are no bad dogs, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"****All you need is love and a cat.****"
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your dog thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+
comment_ser.str.title()
+
  • 0" There Are No Bad Dogs, Only Bad Owners."
  • 1"My Best Birthday Present Ever!!!"
  • 2"****All You Need Is Love And A Cat.****"
  • 3"Love Is A Wet Nose And A Wagging Tail."
  • 4"Be The Person Your Dog Thinks You Are."
  • 5"No, Thank You!"
  • 6"No, Thank You!"
  • 7"No, Thank You!"
Name: Owner_Comment, dtype: object
+ + \ No newline at end of file diff --git a/docs/series-methods/ser.str.upper()/index.html b/docs/series-methods/ser.str.upper()/index.html new file mode 100644 index 00000000..746f9531 --- /dev/null +++ b/docs/series-methods/ser.str.upper()/index.html @@ -0,0 +1,20 @@ + + + + + +ser.str.upper() | bpd + + + + + +

ser.str.upper()

ser.str.upper() +

Converts strings in the Series to uppercase.

Returns:
Returns a Series with each element uppercased.
Return Type:
Series
+
+
comment_ser = pets.get('Owner_Comment')
comment_ser
+
  • 0" There are no bad dogs, only bad owners."
  • 1"My best birthday present ever!!!"
  • 2"****All you need is love and a cat.****"
  • 3"Love is a wet nose and a wagging tail."
  • 4"Be the person your dog thinks you are."
  • 5"No, thank you!"
  • 6"No, thank you!"
  • 7"No, thank you!"
Name: Owner_Comment, dtype: object
+
comment_ser.str.upper()
+
  • 0" THERE ARE NO BAD DOGS, ONLY BAD OWNERS."
  • 1"MY BEST BIRTHDAY PRESENT EVER!!!"
  • 2"****ALL YOU NEED IS LOVE AND A CAT.****"
  • 3"LOVE IS A WET NOSE AND A WAGGING TAIL."
  • 4"BE THE PERSON YOUR DOG THINKS YOU ARE."
  • 5"NO, THANK YOU!"
  • 6"NO, THANK YOU!"
  • 7"NO, THANK YOU!"
Name: Owner_Comment, dtype: object
+ + \ No newline at end of file diff --git a/docs/series-methods/ser.sum()/index.html b/docs/series-methods/ser.sum()/index.html new file mode 100644 index 00000000..8c5c012a --- /dev/null +++ b/docs/series-methods/ser.sum()/index.html @@ -0,0 +1,20 @@ + + + + + +ser.sum() | bpd + + + + + +

ser.sum()

ser.sum() +

Returns the sum of the values in the Series.

+
+
weight_ser = pets.get('Weight')
weight_ser
+
  • 040
  • 11.5
  • 215
  • 380
  • 425
  • 51
  • 60.25
  • 710
Name: Weight, dtype: float64
+
weight_ser.sum()
+

172.75

+ + \ No newline at end of file diff --git a/docs/series-methods/ser.unique()/index.html b/docs/series-methods/ser.unique()/index.html new file mode 100644 index 00000000..f6c7a190 --- /dev/null +++ b/docs/series-methods/ser.unique()/index.html @@ -0,0 +1,22 @@ + + + + + +ser.unique() | bpd + + + + + +

ser.unique()

ser.unique() +

Returns the unique values in the Series.

+
+
weight_ser = pets.get('Weight')
weight_ser
+
  • 040
  • 11.5
  • 215
  • 380
  • 425
  • 51
  • 60.25
  • 710
Name: Weight, dtype: float64
+
weight_ser.unique()
+

array([40. , 1.5 , 15. , 80. , 25. , 1. , 0.25, 10. ])

+
# Number of unique values
len(weight_ser.unique())
+

8

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00000000..af961c49 --- /dev/null +++ b/img/undraw_docusaurus_mountain.svg @@ -0,0 +1,171 @@ + + Easy to Use + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/img/undraw_docusaurus_react.svg b/img/undraw_docusaurus_react.svg new file mode 100644 index 00000000..94b5cf08 --- /dev/null +++ b/img/undraw_docusaurus_react.svg @@ -0,0 +1,170 @@ + + Powered by React + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/img/undraw_docusaurus_tree.svg b/img/undraw_docusaurus_tree.svg new file mode 100644 index 00000000..d9161d33 --- /dev/null +++ b/img/undraw_docusaurus_tree.svg @@ -0,0 +1,40 @@ + + Focus on What Matters + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/index.html b/index.html new file mode 100644 index 00000000..d9ade8b3 --- /dev/null +++ b/index.html @@ -0,0 +1,14 @@ + + + + + +bpd reference sheet | bpd + + + + + +

bpd

dsc10 ❤️ bpd

Easy to Use

Easy to Use

Docusaurus was designed from the ground up to be easily installed and used to get your website up and running quickly.

Focus on What Matters

Focus on What Matters

Docusaurus lets you focus on your docs, and we'll do the chores. Go ahead and move your docs into the docs directory.

Powered by React

Powered by React

Extend or customize your website layout by reusing React. Docusaurus can be extended while reusing the same header and footer.

+ + \ No newline at end of file diff --git a/markdown-page/index.html b/markdown-page/index.html new file mode 100644 index 00000000..1833dace --- /dev/null +++ b/markdown-page/index.html @@ -0,0 +1,15 @@ + + + + + +Markdown page example | bpd + + + + + +

Markdown page example

+

You don't need React to write simple standalone pages.

+ + \ No newline at end of file diff --git a/sitemap.xml b/sitemap.xml new file mode 100644 index 00000000..5f4fd817 --- /dev/null +++ b/sitemap.xml @@ -0,0 +1 @@ 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