Question

我有这个文件https://drive.google.com/open?id=0B4KXs5bh3CmPWXJkQWhkbzI0WEE

的数据

#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

此代码根据用户类型（即客户和订阅者）计算周末和工作日的小时数

我想用这种格式使用matplotlib绘制图表我该怎么办？Weekday and Weekend Graph

显示按小时和用户类型划分的游乐设施数量。工作日的一个情节和周末的第二个情节。包括所有每小时游乐设施的情节线

# 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');

以下是我只获得订阅者和客户数据的代码我还希望得到所有图表行，表示subnd和cust for weekdend和workdays的小时数

Answer 1

您可以在一个地块上使用subplot许多图表。

告诉它有多少行和列，以及您正在绘制的内容。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，但这就是我的绘图方式

{{1}}

所以之前，如果你绘制两次，那么这条线将在同一个图中。

如何在python pandas中使用matplotlib绘制两个图？

2 个答案: