No outlines on bins of Matplotlib histograms or Seaborn distplots

Question

While doing some practice problems using seaborn and a Jupyter notebook, I realized that the distplot() graphs did not have the darker outlines on the individual bins that all of the sample graphs in the documentation have. I tried creating the graphs using Pycharm and noticed the same thing. Thinking it was a seaborn problem, I tried some hist() charts using matplotlib, only to get the same results.

import matplotlib.pyplot as plt import seaborn as sns titanic = sns.load_dataset('titanic') plt.hist(titanic['fare'], bins=30) 

yielded the following graph:

Finally I stumbled across the 'edgecolor' parameter on the plt.hist() function, and setting it to black did the trick. Unfortunately I haven't found a similar parameter to use on the seaborn distplot() function, so I am still unable to get a chart that looks like it should.

I looked into changing the rcParams in matplotlib, but I have no experience with that and the following script I ran seemed to do nothing:

import matplotlib as mpl  mpl.rcParams['lines.linewidth'] = 1 mpl.rcParams['lines.color'] = 'black' mpl.rcParams['patch.linewidth'] = 1 mpl.rcParams['patch.edgecolor'] = 'black' mpl.rcParams['axes.linewidth'] = 1 mpl.rcParams['axes.edgecolor'] = 'black' 

I was just kind of guessing at the value I was supposed to change, but running my graphs again showed no changes.

I then attempted to go back to the default settings using mpl.rcdefaults() but once again, no change.

I reinstalled matplotlib using conda but still the graphs look the same. I am running out of ideas on how to change the default edge color for these charts. I am running the latest versions of Python, matplotlib, and seaborn using the Conda build.

Answer 1

As part of the update to matplotlib 2.0 the edges on bar plots are turned off by default. However, you may use the rcParam

plt.rcParams["patch.force_edgecolor"] = True 

to turn the edges on globally.

Probably the easiest option is to specifically set the edgecolor when creating a seaborn plot, using the hist_kws argument,

ax = sns.distplot(x, hist_kws=dict(edgecolor="k", linewidth=2)) 

For matplotlib plots, you can directly use the edgecolor or ec argument.

plt.bar(x,y, edgecolor="k") plt.hist(x, edgecolor="k") 

Equally, for pandas plots,

df.plot(kind='hist',edgecolor="k") 

A complete seaborn example:

import  numpy as np import matplotlib.pyplot as plt import seaborn as sns  x = np.random.randn(100) ax = sns.distplot(x, hist_kws=dict(edgecolor="k", linewidth=2)) plt.show() 

Answer 2

As of Mar, 2021 :

sns.histplot(data, edgecolor='k', linewidth=2) 

work. Using hist_kws=dict(edgecolor="k", linewidth=2) gave an error:
AttributeError: 'PolyCollection' object has no property 'hist_kws'