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 [7]:
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')
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-7-161734915b21> in <module>() 8 9 fig, ax = plt.subplots() ---> 10 ppl.boxplot(ax, data, xticklabels=labels) 11 fig.savefig('boxplot_prettyplotlib_default.png') /Users/olga/workspace-git/prettyplotlib/prettyplotlib/_boxplot.py in boxplot(*args, **kwargs) 19 @return: 20 """ ---> 21 ax, args, kwargs = maybe_get_ax(args, kwargs) 22 # If no ticklabels are specified, don't draw any 23 xticklabels = kwargs.pop('xticklabels', None) /Users/olga/workspace-git/prettyplotlib/prettyplotlib/utils.py in maybe_get_ax(args, kwargs) 80 """ 81 if isinstance(args[0], mpl.axes.Axes): ---> 82 ax = args[0] 83 args = args[1:] 84 elif 'ax' in kwargs: AttributeError: 'tuple' object has no attribute 'pop'
In [ ]: