如何在python熊猫中使用matplotlib绘制两张图？

Question

我的数据我这个文件https://drive.google.com/open?id=0B4KXs5bh3CmPWXJkQWhkbzI0WEE

#count weekdays 0 to 4 
mUserType = np.where(rides['starttime'].dt.dayofweek <= 5, 'Weekend', 
'Weekday') 
#count hours 
mWeekHours = rides['starttime'].dt.hour 
#create group by usertype 
WeekdayWorkdayResult = rides.groupby([mUserType, mWeekHours, 
'usertype']).size().unstack() 
WeekdayWorkdayResult 

这段代码根据用户类型，即客户和用户

我想用matplotlib绘制这种格式的图形怎么能算周末和工作日的小时一世？ Weekday and Weekend Graph

它按小时数和用户类型显示乘车次数。一个情节工作日，第二个周末。包含所有每小时骑

# count trips by date and by hour 

ind = pd.DatetimeIndex(rides.starttime) 
rides['date'] = ind.date.astype('datetime64') 
rides['hour'] = ind.hour 
by_hour = rides.pivot_table('tripduration', aggfunc='count', 
         index=['date', 'hour'], 
         columns='usertype').fillna(0).reset_index('hour') 

# average these counts by weekend 
by_hour['weekend'] = (by_hour.index.dayofweek >= 5) 
by_hour = by_hour.groupby(['weekend', 'hour']).mean() 
by_hour.index.set_levels([['weekday', 'weekend'], 
        ["{0}:00".format(i) for i in range(24)]], 
        inplace=True); 
by_hour.columns.name = None 
fig, ax = plt.subplots(1, 2, figsize=(16, 6), sharey=True) 
by_hour.loc['weekday'].plot(title='Hourly Rides User Type and Hour', 
ax=ax[0]) 
by_hour.loc['weekend'].plot(title='Weekend Rides by User Type and Hour', 
ax=ax[1]) 
ax[0].set_ylabel('Hourly Rides by User Type'); 

这里情节线的代码我只得到用户和客户的数据我也想获得的所有图线是指两个子和卡斯特小时总和weekdend和工作日

Answer 1

您可以在一张图上使用subplot来绘制许多图。

告诉它有多少行和列，以及你正在绘制哪个。 有一个演示here

import matplotlib.pyplot as plt 


#set up data 

plt.subplot(2, 1, 1) #two rows, one columns, first graph 
#Call plt.plot(x1, y1) with the data you want 
plt.title('First subplot') 

plt.subplot(2, 1, 2) #two rows, one columns, 2nd graph 
#Call plt.plot(x2, y2) with the data you want 
plt.title('Second subplot') 

plt.show() 

Answer 2

这是一个公正的代码，但是这是我怎么这么之前绘制

import matplotlib.pyplot as plt 

plt.plot(x-axis,y-axis,data) 
plt.plot(x-axis,y-axis,data) 

plt.show() 

，如果您绘制两次都行会在同一个图表。