Issue
I have a pandas dataframe with numerous columns, one of which is the time in GPS time, like such:
GPS_time |
---|
1635751985 |
1635751985 |
1635751986 |
1635751987 |
1635751987 |
.......... |
How would I go about converting this to datetime
or UTC
within Python?
Solution
You can use the Pandas .to_datetime()
method to do this conversion!
>>> df = pd.DataFrame({"dates": [1635751985, 1635751985, 1635751986]})
>>> df
dates
0 1635751985
1 1635751985
2 1635751986
>>> pd.to_datetime(df["dates"], unit="s")
0 2021-11-01 07:33:05
1 2021-11-01 07:33:05
2 2021-11-01 07:33:06
Name: dates, dtype: datetime64[ns]
Note that this conversion is from your integer values to storing the values as datetime64[ns]
Once converted, you can control how they're displayed with .dt.strftime()
(see How to change the datetime format in Pandas )
Answered By - ti7
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