Seaborn画柱状图

import pandas as pd
import pickle
import matplotlib.pyplot as plt
import seaborn as sns
import osm

data_input = open('../total0221.pkl','rb')
read_data = pickle.load(data_input)
data_input.close()
df = pd.read_csv('cleansed_timetable.csv')
ttdf = osm.TimetableDf(df)
# 获取　国家－车站－频次信息
country_stations_freq=ttdf.get_country_stations_freq()

#### 1. 国家－车站总数
data={'Country':[],'Number of stations':[]}   
c_t = [] 
for c in country_stations_freq:
    c_t.append([c,len(country_stations_freq[c])])
c_t=sorted(c_t,key=lambda x:x[1],reverse=True)
data={'Country':[],'Number of stations':[]}   

for c in c_t:
    data['Country'].append(c[0])
    data['Number of stations'].append(c[1])

DATA = pd.DataFrame(data = data)

sns.set(style="darkgrid")

(fx,fy)=(3000,2400)
my_dpi=300
fig=plt.figure(figsize=(fx/my_dpi, fy/my_dpi), dpi=my_dpi)
ax = fig.add_subplot(1,1,1)

ax = sns.barplot(y="Country", 
                 x='Number of stations', 
                 #hue="company", 
                 data=DATA)

ax.set_ylabel("Country")
plt.savefig('../figures/barplot0221', bbox_inches='tight',pad_inches = 0)
plt.close(fig)
plt.clf()