Víctor Valverde VictorValverde
waltonjones
/ Stylable Pandas Groupby Boxplots
Last active
March 1, 2016 16:38
This gist includes a function called stylable_groupby_boxplot() that receives a pandas dataframe object and the column you want to groupby and returns a dictionary that includes all the boxplot's parts just like the standard matplotlib boxplot function does.
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| from numpy.random import rand | |
| import matplotlib.pyplot as plt | |
| import pandas as pd | |
| # 2 columns produces an array of 2 matplotlib.axes.AxesSubplot objects | |
| df2 = pd.DataFrame(rand(10,2), columns=['Col1', 'Col2'] ) | |
| df2['X'] = pd.Series(['A','B','A','B','A','B','A','B','A','B']) | |
| #1 column produces a single matplotlib.axes.AxesSubplot object | |
| df1 = pd.DataFrame(rand(10), columns=['Col1'] ) |