常に最新！劇場版名探偵コナン歴代興行収入の推移をグラフ化する

import pandas as pd
import requests

df = pd.read_html(requests.get(
 'http://www.eiga-ranking.com/boxoffice/japan/alltime/total/1.html').content)
df[1].head(2)

df1 = df[1]

df2 = pd.read_html(requests.get(
 'http://www.eiga-ranking.com/boxoffice/japan/alltime/total/2.html').content)
df2[1].head(2)

df3 = df2[1]

df4 = pd.read_html(requests.get(
 'http://www.eiga-ranking.com/boxoffice/japan/alltime/total/3.html').content)
df4[1].head(2)

df5 = df4[1]

df6 = pd.read_html(requests.get(
 'http://www.eiga-ranking.com/boxoffice/japan/alltime/total/4.html').content)
df6[1].head(2)

df7 = df6[1]

df8 = pd.read_html(requests.get(
 'http://www.eiga-ranking.com/boxoffice/japan/alltime/total/5.html').content)
df8[1].head(2)

df9 = df8[1]

df10 = pd.concat([df1,df3,df5,df7,df9])

df10 = df10.reset_index(drop=True)

df11 = df10[(df10['タイトル'].str.contains("名探偵コナン"))]

df11 = df11.drop(213)

df11 = df11.drop(columns=['順位'])

df11['興行収入（億円）'].iloc[0] = 91.8

df11 = df11.sort_values(by='公開年',ascending=False)
df11

df11.to_csv('conan_movie.csv', index=False)

import pandas as pd
import requests

df11 = pd.read_csv('conan_movie.csv',encoding='utf-8')

data = {'興行収入（億円）':['11.0','18.5','21.5','63.3','93.7','76.5','97.8','120'],
        'タイトル':['時計じかけの摩天楼','14番目の標的','水平線上の陰謀','純黒の悪夢',
                '紺青の拳','緋色の弾丸','ハロウィンの花嫁','黒鉄の魚影'],
        '公開年':['1997','1998','2005','2016','2019','2021','2022','2023']}
df12 = pd.DataFrame(data)

df12

df14 = pd.concat([df11,df12])
df14 = df14.reset_index(drop=True)

df14['タイトル'] = df14['タイトル'].str.replace('名探偵コナン ','')

df14['公開年'] = df14['公開年'].apply(pd.to_numeric, errors="coerce").astype(int)

df14 = df14.sort_values(by='公開年',ascending=False)

df14['興行収入（億円）'] = df14['興行収入（億円）'].apply(pd.to_numeric, errors="coerce").astype(float)

#df14['興行収入（億円）'].iloc[0] = 85.8

from matplotlib.pyplot import *
from matplotlib.font_manager import FontProperties
from matplotlib import rcParams
import matplotlib.patches as mpatches
style.use('ggplot')

rcParams["font.size"] = "18"
fp = FontProperties(fname='/usr/share/fonts/opentype/ipaexfont-gothic/ipaexg.ttf', size=54)
rcParams['font.family'] = fp.get_name()
rcParams["font.size"] = "25"
fig, ax = subplots(figsize=(20,15))
df14.set_index('タイトル').plot(ax=ax,y='興行収入（億円）',kind='barh',color='pink',width=.7)
rc('xtick', labelsize=25)
rc('ytick', labelsize=25)
xticks(np.arange(0,14e1,2e1/2),
   ['{}億'.format(int(x)) if x > 0 else 0 for x in np.arange(0,14e1,2e1/2)])
for j,i in enumerate(ax.patches):
    ax.text((i.get_width()+.7 if int(i.get_width()) < 100 else i.get_width()-22),i.get_y()+.125,\
    '{}億円 ({}年)'.format(float(str(i.get_width())),df14['公開年'].iloc[j]), fontsize=20, color='k');