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[Fixed] Python Pandas: TypeError: unsupported operand type(s) for +: ‘datetime.time’ and ‘Timedelta’

Today We are Going To Solve Python Pandas: TypeError: unsupported operand type(s) for +: ‘datetime.time’ and ‘Timedelta’ in Python. Here we will Discuss All Possible Solutions and How this error Occurs So let’s get started with this Article.

How to Fix Python Pandas: TypeError: unsupported operand type(s) for +: ‘datetime.time’ and ‘Timedelta’ Error?

  1. How to Fix Python Pandas: TypeError: unsupported operand type(s) for +: 'datetime.time' and 'Timedelta' Error?

    To Fix Python Pandas: TypeError: unsupported operand type(s) for +: 'datetime.time' and 'Timedelta' Error just Convert the Delta column to datetime.timedelta. To solve this issue convert the Delta column to datetime.timedelta you can use the below one. It will help you. df["end_Time"] = df["Start_Time"] + df["Delta"].map(pd.Timedelta.to_pytimedelta)

  2. Python Pandas: TypeError: unsupported operand type(s) for +: 'datetime.time' and 'Timedelta'

    To Fix Python Pandas: TypeError: unsupported operand type(s) for +: 'datetime.time' and 'Timedelta' Error just Import datetime and use the below code. Here you have to just import datetime and use the below code import datetime as dt df["end_Time"] = df["Start_Time"] + df["Delta"].map(dt.timedelta)

Solution 1 : Convert the Delta column to datetime.timedelta

To solve this issue convert the Delta column to datetime.timedelta you can use the below one. It will help you.

df["end_Time"] = df["Start_Time"] + df["Delta"].map(pd.Timedelta.to_pytimedelta)

Solution 2 : Import datetime and use the below code

Here you have to just import datetime and use the below code

import datetime as dt

df["end_Time"] = df["Start_Time"] + df["Delta"].map(dt.timedelta)

Conclusion

So these were all possible solutions to this error. I hope your error has been solved by this article. In the comments, tell us which solution worked? If you liked our article, please share it on your social media and comment on your suggestions. Thank you.

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