如何使用matplotlib在python中绘制时间戳？ [英] How to plot timestamps in python using matplotlib?

问题描述

我一直在搜索整个谷歌，但看起来我无法找到我正在寻找的东西。

I have been searching about this on entire google, but it looks like I am not able to find exactly what I am looking for.

所以，基本上，我有两个列表：一个列表由时间戳数据组成，第二个列表由与之对应的值组成。

So, basically, I have two lists: one list consists of timestamp data and a second list consists of values that correspond to that.

现在我的问题是：我的时间戳是以下格式

Now my issue is: my timestamps are in a following format

['Mon Sep 1 16:40:20 2015', 'Mon Sep 1 16:45:20 2015',
 'Mon Sep 1 16:50:20 2015', 'Mon Sep 1 16:55:20 2015'] 

所以，在 matplotlib 中使用哪种时间格式？我试图绘制这个直截了当，但它给了我：

So, which time format is used in matplotlib? I tried to plot this straightaway but it gives me:

ValueError: invalid literal 

我可以使用 datetime.datetime.strptime 进行转换吗？如果没有，那么这样做的另一种方式是什么？

Can I use datetime.datetime.strptime to convert it? If not, then what is the other way of doing it?

以正确的格式转换 timestamp 我应该如何使用相应的值绘制新的转换时间戳？

After converting the timestamp in the proper format, how should I plot the new converted timestamp with it's corresponding value?

可以使用 matplotlib.pyplot.plot（时间，数据）或者我必须使用 plot_date 方法绘制吗？

Can I use matplotlib.pyplot.plot(time, data) or do I have to use plot_date method to plot it?

推荐答案

Yup，使用strptime

Yup, use strptime

import datetime
import matplotlib.pyplot as plt

x = ['Mon Sep 1 16:40:20 2015', 'Mon Sep 1 16:45:20 2015',
    'Mon Sep 1 16:50:20 2015', 'Mon Sep 1 16:55:20 2015']
y = range(4)

x = [datetime.datetime.strptime(elem, '%a %b %d %H:%M:%S %Y') for elem in x]

(fig, ax) = plt.subplots(1, 1)
ax.plot(x, y)
fig.show()

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