Python Pandas: Convert 2 fields Date + Time to 1 Datetime field

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In a Pandas dataframe there are 2 columns:

"CREATED ON DATE" (dtype: datetime64[ns]) e.g. 2019-06-16
"CREATED AT TIME" (dtype: object) e.g. 19:46:14

Because of the type mismatch simply adding the field is not working.

df["CREATED DATETIME"] = df["CREATED ON DATE"] + df["CREATED AT TIME"]

How to combine these 2 columns as 1 datetime field "CREATED DATETIME"?

pandas datetime python
1 Answers

Use to_timedelta:

df["CREATED DATETIME"] = df["CREATED ON DATE"] + pd.to_timedelta(df["CREATED AT TIME"])

If objects python times in column, convert it to strings before:

df["CREATED DATETIME"] = (df["CREATED ON DATE"] + 
                          pd.to_timedelta(df["CREATED AT TIME"].astype(str)))
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