acmetric 1.2.2

A package to easily build ACMetric branded plots

Introducing ACMetric package! :tada:

Current version: 1.2.2

:chart_with_upwards_trend: This package is created to help you use ACMetric's brand colors and build plots without hours of tuning. Enjoy!

Installing on a local machine :computer:

Run this command in your local machine's terminal:

python3 -m pip install git+https://github.com/ACMetric/acmetric_package.git

Press here to copy :point_up_2:  

:heavy_exclamation_mark:If it doesn't work, run:

python3 -m pip install git+https://username:[e-mail]/ACMetric/acmetric_package.git

:heavy_exclamation_mark:If the package is installed, but can't be imported, delete it (pip unistall acmetric) and run:

python3 -m pip install --upgrade pip setuptools wheel

and then repeat the installation procedure.

To update, run:

python3 -m pip install git+https://github.com/ACMetric/acmetric_package.git --upgrade

Installing on Google Colab :orange_book:

Setting up in Google Colab is described here.

Importing :rocket:

I recommend importing it along with matplotlib and seaborn.

%matplotlib inline # display plots in the notebook right away
%config InlineBackend.figure_format='retina' # high resolution
import matplotlib.pyplot as plt
import seaborn as sns
import acmetric as ac

And it is ready to go! :sunglasses:

:mag_right: You can find code examples here: Jupyter | Google Colab

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Some things you need to know :teacher:

ac.display_colors() will show you a table with all the colors available and their names.

ac.colors module contains ACMetric colors, you can access them by writing ac.colors.coral, ac.colors.sky_60, etc.

ac.palette is a matplotlib color palette. You can call it and choose a color you like by index, e.g. ac.palette[3].

ac.cmap is a gradient colormap that can be used in seaborn heatmap and other plots.

Now 4 kinds of plots are available in the package: bar chart, pie chart, scatter plot and box plot. You can make them using ac.bar, ac.pie, ac.scatter and ac.box. All the possible parameters can be found in the docstring.

Note: it doesn't mean you can't build other kinds of plots. Just import matplotlib or seaborn, and all the plots you create will also be ACMetric branded!