たつをの ChangeLog : 2020-04-15

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns; sns.set()

df = pd.read_csv("data/applemobilitytrends-2020-04-13.csv")

#cn_list = ("Japan", "Tokyo", "Osaka", "Nagoya", "Fukuoka")
cn_list = ("Japan", "United States", "UK", "Germany", "Italy")
df = df[df['region'].isin(cn_list)]

transportation_type = ("driving", "transit", "walking")

fig = plt.figure(figsize=(15,15))
fig.subplots_adjust(hspace=0.5)
data_title = "Apple Maps Mobility Trends Reports"
for i, tt in enumerate(transportation_type, 1):
    tmp = df[df['transportation_type'] == tt].iloc[:,3:-1]
    tmp.index = df[df['transportation_type'] == tt][ 'region']
    tmp = tmp.transpose()
    tmp.index = pd.to_datetime(tmp.index)
    ax = fig.add_subplot(3,1,i)
    tmp.plot(ax=ax)
    ax.set_title(tt + " - " + data_title)
    ax.set_ylim(0,210)
    ax.legend(loc='upper right')
    ax.grid(which='minor')

file_name_key = '-'.join(cn_list)
file_name = ("Apple Maps Mobility Trends Reports " + file_name_key + ".png").replace(' ', '-')
fig.savefig(file_name, bbox_inches='tight', pad_inches=0)