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datetime - How to plot timestamps in python using matplotlib?

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.

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

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'] 

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

ValueError: invalid literal 

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

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

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

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1 Answer

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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()

enter image description here


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