如何使用 Pandas Series 绘制两个不同长度/起始日期的时间序列？
声明：本页面是StackOverFlow热门问题的中英对照翻译，遵循CC BY-SA 4.0协议，如果您需要使用它，必须同样遵循CC BY-SA许可，注明原文地址和作者信息，同时你必须将它归于原作者（不是我）：StackOverFlow
原文地址: http://stackoverflow.com/questions/34401244/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
How to use Pandas Series to plot two Time Series of different lengths/starting dates?
提问by JianguoHisiang
I am plotting several pandas series objects of "total events per week". The data in the series events_per_weeklooks like this:
我正在绘制“每周总事件数”的几个Pandas系列对象。系列中的数据events_per_week如下所示：
Datetime
1995-10-09 45
1995-10-16 63
1995-10-23 83
1995-10-30 91
1995-11-06 101
Freq: W-SUN, dtype: int64
My problem is as follows. All pandas series are the same length, i.e. beginning in same year 1995. One array begins in 2003 however. events_per_week2003begins in 2003
我的问题如下。所有Pandas系列的长度都相同，即从 1995 年开始。然而，一个数组从 2003 年开始。events_per_week20032003年开始
Datetime
2003-09-08 25
2003-09-15 36
2003-09-22 74
2003-09-29 25
2003-09-05 193
Freq: W-SUN, dtype: int64
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(20,5))
ax = plt.subplot(111)
plt.plot(events_per_week)
plt.plot(events_per_week2003)
I get the following value error.
我收到以下值错误。
ValueError: setting an array element with a sequence.
How can I do this?
我怎样才能做到这一点？
回答by tglaria
I really don't get where you're having problems. I tried to recreate a piece of the dataframe, and it plotted with no problems.
我真的不明白你哪里有问题。我尝试重新创建数据框的一部分，并且绘制没有问题。
import numpy, matplotlib
data = numpy.array([45,63,83,91,101])
df1 = pd.DataFrame(data, index=pd.date_range('2005-10-09', periods=5, freq='W'), columns=['events'])
df2 = pd.DataFrame(numpy.arange(10,21,2), index=pd.date_range('2003-01-09', periods=6, freq='W'), columns=['events'])
matplotlib.pyplot.plot(df1.index, df1.events)
matplotlib.pyplot.plot(df2.index, df2.events)
matplotlib.pyplot.show()
Using Series instead of Dataframe:
使用系列而不是数据框：
ds1 = pd.Series(data, index=pd.date_range('2005-10-09', periods=5, freq='W'))
ds2 = pd.Series(numpy.arange(10,21,2), index=pd.date_range('2003-01-09', periods=6, freq='W'))
matplotlib.pyplot.plot(ds1)
matplotlib.pyplot.plot(ds2)
matplotlib.pyplot.show()
