Merge pull request #15 from ubco-W2022T2-data301/Gavin-PM5

PM5 Part 1

.gitattributes

@@ -0,0 +1,18 @@
+# Set the default behavior, in case people don't have core.autocrlf set.
+* text=auto
+# Tableau dashboards shouldn't be treated as text or soruce code, don't diff them and treat them as binary
+.twb binary linguist-generated
+# Photos are truly binary and should not be modified.
+*.png binary
+*.jpg binary
+#Treat csv geojson, and other data files files as files that don't need EOF lines 
+*.csv binary
+*.geojson binary
+*.cpg binary
+*.dbf binary
+*.prj binary
+*.shp binary
+*.shp.ea.iso.xml binary
+*.shp.iso.xml binary
+*.shx binary
+*.zip binary

README.md

@@ -2,7 +2,7 @@
 
 ## Important
 
-To run this code locally, make sure at a minium all the packages listed in [requirements.txt](requirements.txt) are installed using your package manager of choice (`pip`, `conda`, `poetry`, etc), on at least python 3.9 or higher. However do note that installing [geoplot](https://residentmario.github.io/geoplot) may require installing system dependencies, such as `libgeos-dev` on linux, and may require [pillow](https://pillow.readthedocs.io/en/stable/) to be installed separately. Furthermore, [pyarrow](https://arrow.apache.org/docs/python/index.html) and [pyogrio](https://pyogrio.readthedocs.io/en/latest/index.html) can optionally be installed to speedup I/O operations, especially reads of unprocessed data, and [numba](http://numba.pydata.org/) can also optionally be installed to speed up certain operations that can be vectorized.
+To run this code locally, make sure at a minium all the packages listed in [requirements.txt](requirements.txt) are installed using your package manager of choice (`pip`, `conda`, `poetry`, etc), on at least python 3.9 or higher. However do note that installing [geoplot](https://residentmario.github.io/geoplot) may require installing system dependencies, such as `libgeos-dev` on linux, and may require [pillow](https://pillow.readthedocs.io/en/stable/) to be installed separately. Furthermore, [pyarrow](https://arrow.apache.org/docs/python/index.html) and [pyogrio](https://pyogrio.readthedocs.io/en/latest/index.html) can optionally be installed to speedup I/O operations, especially reads of unprocessed data, and [numba](http://numba.pydata.org/) can also optionally be installed to speed up certain operations that can be vectorized. [numexpr](https://github.com/pydata/numexpr) and [bottleneck](https://github.com/pydata/bottleneck) can also be installed if wished.
 
 ## Topics and Interests
 

analysis/analysis2.ipynb

@@ -65,22 +65,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import sys \n",
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
     "import geopandas as gpd\n",
-    "import re\n",
     "import geoplot as gplt\n",
     "import geoplot.crs as gcrs\n",
-    "from typing import TYPE_CHECKING\n",
-    "if TYPE_CHECKING:\n",
-    "    from .code import project_functions2 as pf\n",
-    "else:\n",
-    "    __import__(\"sys\").path.append(\"./code\")\n",
-    "    import project_functions2 as pf\n",
-    "    "
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "\n",
+    "import scripts.project_functions2 as pf"
    ]
   },
   {

analysis/code/project_functions2.py → analysis/scripts/project_functions2.py

@@ -1,9 +1,9 @@
-import pandas as pd
-import numpy as np
-import matplotlib.pyplot as plt
-import seaborn as sns
 import geopandas as gpd
 import geoplot as gplt
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+import seaborn as sns
 
 # aqi = pd.concat(pd.read_csv(f"../data/raw/annual_aqi_by_cbsa_{year}.csv") for year in range(2011, 2023))