This script generates a PDF graph from a CSV file.
This script generates a PDF graph from a CSV file. It hast two modes:
- line graph (default)
- pie chart
By default, the input is read from stdin and printed to stdout.
You can also specify files with the --input and --output option.
When you use the --output option you can specify a different output format from pdf (e.g. png).
Generate a line graph from the data.
The first value of each line is used as a descriptive Label for the following data.
The first line must consist of dates
according to the format specified in --date-format option (default: %Y-%m).
The dates can contain a label.
You can state the separator between the date and the label via --x-label-separator.
The date can contain the seperator. The skript fill find the right spot to split.
Generate a pie chart from the data.
You need to install these required packages: numpy, scipy, matplotlib
Or use the requirements.txt file:
pip install -r requirements.txt
usage line: csv2graph [-h] [--input FILE] [--output FILE]
[--start-at-zero] [--threshold T] [--smooth] [--stacked]
[--data-in-columns] [--title TITLE] [--emphasize LABEL [LABEL ...]]
[--date-format FORMAT] [--x-label-separator SEPARATOR]
[--annotation FILE]
usage pie: csv2graph --pie-chart [-h] [--input FILE] [--output FILE]
[--data-in-columns] [--title TITLE]
optional arguments:
-h, --help show this help message and exit
--smooth, -S smooth data
--stacked, -s stacks data on top of each other
--start-at-zero, -z force y-axis to start at zero
--threshold T, -T T print a threshold in the chart
--pie-chart, -p create a pie chart
--input FILE, -i FILE
read data from this file instead of stdin
--output FILE, -o FILE
print chart to this file instead of stdout
--data-in-columns, -c
data is stored column-wise not row-wise
--date-format FORMAT, -d FORMAT
set format for dates (default: %Y-%m)
--x-label-separator SEPARATOR, --separator SEPARATOR
set separator between date and label
--title TITLE, -t TITLE
set title
--emphasize LABEL [LABEL ...], -e LABEL [LABEL ...]
emphasize Label by printing the line wider
--annotation FILE
add annotations from file FILE
line.csv:
month,2019-12,2020-01,2020-02,2020-03,2020-04,2020-05,2020-06,2020-07,2020-08,2020-09,2020-10,2020-11
"own issues",48,40,68,67,47,29,51,49,55,46,100,93
"foreign issues",15,18,17,23,13,11,38,30,11,5,27,18
other,109,113,124,178,209,139,142,135,148,160,150,148
Command:
./csv2graph --title "Issues per Month" -i examples/line.csv -o examples/line.pdf --date-format "%Y-%m" --emphasize "own issues"
Command:
./csv2graph --title "Issues per Month" -i examples/line.csv -o examples/line.png --date-format "%Y-%m"
If your data is column wise, you have to add the --data-in-columns option
line_columns.csv:
month,own issues,foreign issues,other
2019-12,48,15,109
2020-01,40,18,113
2020-02,68,17,124
2020-03,67,23,178
2020-04,47,13,209
2020-05,29,11,139
2020-06,51,38,142
2020-07,49,30,135
2020-08,55,11,148
2020-09,46,5,160
2020-10,100,27,150
2020-11,93,18,148
Command:
./csv2graph --title "Issues per Month" --data-in-columns -i examples/line_columns.csv -o examples/line_columns.pdf --date-format "%Y-%m" --emphasize "own issues"
You can stack the data.
Command:
./csv2graph --title "Issues per Month" -i examples/line.csv -o examples/line-stacked.pdf --date-format "%Y-%m" --stacked --smooth
line_with_label.csv:
month,2019-12-dec,2020-01-jan,2020-02-feb,2020-03-mar,2020-04-apr,2020-05-may,2020-06-jun,2020-07-jul,2020-08-aug,2020-09-sep,2020-10-oct,2020-11-nov
"own issues",48,40,68,67,47,29,51,49,55,46,100,93
"foreign issues",15,18,17,23,13,11,38,30,11,5,27,18
other,109,113,124,178,209,139,142,135,148,160,150,148
Command:
./csv2graph --title "Issues per Month" -i examples/line_with_label.csv -o examples/line_with_label.pdf --date-format "%Y-%m" --x-label-separator "-"
You can add annotations to your graph.
In addition to the data csv file, you need a csv file with the annotations.
The text can contain newlines.
annotations.csv:
2020-02,2020-09
"release AI feature","remove AI feature"
Command:
./csv2graph --title "Issues per Month" -i examples/line.csv -o examples/line_annotations.pdf --date-format "%Y-%m" --annotation examples/annotations.csv
If your data is column wise, the annotations also have to be column wise
annotations_columns.csv:
2020-02,"release AI feature"
2020-09,"remove AI feature"
Command:
./csv2graph --title "Issues per Month" --data-in-columns -i examples/line_columns.csv -o examples/line_annotations_columns.pdf --date-format "%Y-%m" --annotation examples/annotations_columns.csv
If your text overlaps, you can define an offset.
The offset applies in x direction in the scale of the date. (The dates are converted to a float representing dates in the unix epoche, see matplotlib.date2num).
annotations_overlap.csv:
2020-02,2020-03,2020-09,
"release AI feature","This text
will overlap","remove AI feature"
Command:
./csv2graph --title "Issues per Month" -i examples/line.csv -o examples/line_annotations_overlap.pdf --date-format "%Y-%m" --annotation examples/annotations_overlap.csv
annotations_offset.csv:
2020-02,2020-03,2020-09,
"release AI feature","This text
will overlap","remove AI feature"
-15,,
Command:
./csv2graph --title "Issues per Month" -i examples/line.csv -o examples/line_annotations_offset.pdf --date-format "%Y-%m" --annotation examples/annotations_offset.csv
input-file:
"ips",64
"dns",22
"frontend",19
issue-1234,8
issue-9874,5
other,62
Command:
./csv2graph --title "Most time consuming issues" -i pie.csv -o pie.pdf --pie