[PYTHON] [Jupyter Notebook memo] Display kanji with matplotlib

Introduction

How to display Kanji with matplotlib on Jypyter Notenook Memo. I used to use a more complicated method, but this one is simpler. It has been confirmed to work with Google Colaboratory and Watson Studio.

code

Loading the library

#Introduction of required libraries
!pip install japanize-matplotlib | tail -n 1

#Import of required libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

#Japanese localization
import japanize_matplotlib #Japanese matplotlib
import seaborn as sns
sns.set(font="IPAexGothic") #Japanese font settings

#Data frame display function
from IPython.display import display

Loading Boston dataset for sample display

#Boston dataset loading

from sklearn.datasets import load_boston
boston = load_boston()
df = pd.DataFrame(boston.data, columns=boston.feature_names)
df.insert(0, 'PRICE', boston.target)

#Check the result
display(df.head())

Screen display code sample

#graph display
plt.figure(figsize=(6,6))
plt.scatter(df.RM, df.PRICE)
plt.xlabel('number of rooms')
plt.ylabel('price')
plt.title('Scatter plot display of Boston dataset')
plt.show()

Result sample (from Google Colaboratory)

スクリーンショット 2020-01-09 8.54.25.png

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