[PYTHON] Make matplotlib Japanese compatible in 3 minutes

Handle Japanese with matplotlib in python

• There are some similar articles on Qiita, but it was difficult to understand, so I will summarize them for myself.

• As for the situation, the default font of matplotlib on macOS Sierra does not support Japanese, so I want ▫︎▫︎▫︎ (it seems to be tofu) to display Japanese on the graph for the time being!

procedure

1. Go to http://ipafont.ipa.go.jp/old/ipafont/download.html and download the 4 typeface pack of TTF files.

It seems that it corresponds like this (see http://qiita.com/kshigeru/items/0cfc0778bab197687967), so

plt.rcParams['font.family'] = 'IPAPGothic' #Set the entire font

And. Also, let's set the size of the graph and the font size on the vertical and horizontal axes:

plt.rcParams["figure.figsize"] = [20, 12] #Specify the size of the graph
plt.rcParams['font.size'] = 20 #Set font size default: 12
plt.rcParams['xtick.labelsize'] = 15 #Font size on the horizontal axis
plt.rcParams['ytick.labelsize'] = 15 #Font size on the vertical axis

３.

~ / .matplotlib / fontList.py3k.cache looks like a font cache file, so if you run it (on Jupyter notebook) with rm -f ~ / .matplotlib / fontList.py3k.cache

%matplotlib inline
import matplotlib.pyplot as plt

plt.rcParams['font.family'] = 'IPAPGothic' #Set the entire font

plt.rcParams["figure.figsize"] = [20, 12]
plt.rcParams['font.size'] = 20 #Set font size default: 12
plt.rcParams['xtick.labelsize'] = 15 #Font size on the horizontal axis
plt.rcParams['ytick.labelsize'] = 15

# test
df = DataFrame(np.arange(0, 12).reshape(6, -1), columns = ['start','the end'])
df.plot(kind = 'bar', x = 'start', y = 'the end').set(xlabel = 'start', ylabel = 'the end')
# plt.show()  # %Since matplotlib inline is specified, it may or may not be present.

Shazam!