Python: convert np array os sec to datetime

Question

I have np array or ints, each represent time since epoch (like 1513003977) I would like to plot it as dates, and found out you can do it in x the dates are in datetime.datetime format for can i convert the whole array into datetime?

It is possible to call plt.plot(dates,values) with dates being a list of datetime.datetime objects. The plot will include xticks in a format like '%Y-%m-%d' and as you zoom in, automatically change to one that shows hours, minutes, seconds.

`import datetime; datetime.datetime.fromtimestamp(1513003977)` — ImportanceOfBeingErnest, Dec 11 '17 at 15:15
@ImportanceOfBeingErnest This question is a bit different - it is dealing with the epoch timestamps being in a numpy array, not just a single value. — lxop, Dec 11 '17 at 15:18
@lxop Sure, which other question do you want to mark this as duplicate of? — ImportanceOfBeingErnest, Dec 11 '17 at 15:27

score 2 · Accepted Answer · answered Dec 11 '17 at 15:15

Assuming you have a numpy array of timestamps dates, you can do the following

ticks = dates.astype('datetime64[s]').tolist()
plt.plot(ticks, values)

That does two things: first it reinterprets the integer timestamps as numpy's datetime format (the [s] specifies that the units are seconds).

Then, array.tolist(), when called on a datetime64 array, returns a list of datetime.datetime objects, which matplotlib can then use for plotting as you desire.

Python: convert np array os sec to datetime

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