`prettyplotlib.boxplot`

The original matplotlib boxplots are okay, but their lines are too thick and the blues and reds are a little garish.



In [1]:

    
import matplotlib.pyplot as plt
np.random.seed(10)

data = np.random.randn(8, 4)
labels = ['A', 'B', 'C', 'D']

fig, ax = plt.subplots()
ax.boxplot(data)
ax.set_xticklabels(labels)
fig.savefig('boxplot_matplotlib_default.png')

In prettyplotlib, we did the usual softening of the blacks and removing of the axes. We also changed the colors of the boxplot, which is actually really annoying to do by hand:

import brewer2mpl
set1 = brewer2mpl.get_map('Set1', 'qualitative', 7).mpl_colors

bp = ax.boxplot(x, **kwargs)
plt.setp(bp['boxes'], color=set1[1], linewidth=0.5)
plt.setp(bp['medians'], color=set1[0])
plt.setp(bp['whiskers'], color=set1[1], linestyle='solid', linewidth=0.5)
plt.setp(bp['fliers'], color=set1[1])
plt.setp(bp['caps'], color='none')

So using prettyplotlib.boxplot is much easier.



In [2]:

    
%load_ext autoreload
%autoreload 2









    



The autoreload extension is already loaded. To reload it, use:
  %reload_ext autoreload



In [3]:

    
import prettyplotlib as ppl
import matplotlib as mpl

np.random.seed(10)

data = np.random.randn(8, 4)
labels = ['A', 'B', 'C', 'D']

fig, ax = plt.subplots()
ppl.boxplot(ax, data, xticklabels=labels)
fig.savefig('boxplot_prettyplotlib_default.png')

As of v0.1.4, this also works without an ax as the first argument!!



In [4]:

    
ppl.boxplot(data, xticklabels=labels)









    Out[4]:





<matplotlib.axes.AxesSubplot at 0x10cfbdad0>



In [ ]: