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[Solved] decompose() for time series: ValueError: You must specify a period or x must be a pandas object with a DatetimeIndex with a freq not set to None

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error ecompose() for time series: ValueError: You must specify a period or x must be a pandas object with a DatetimeIndex with a freq not set to None in Python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How ecompose() for time series: ValueError: You must specify a period or x must be a pandas object with a DatetimeIndex with a freq not set to None Error Occurs?

Today I get the following error ecompose() for time series: ValueError: You must specify a period or x must be a pandas object with a DatetimeIndex with a freq not set to None in Python.

How To Solve ecompose() for time series: ValueError: You must specify a period or x must be a pandas object with a DatetimeIndex with a freq not set to None Error ?

  1. How To Solve ecompose() for time series: ValueError: You must specify a period or x must be a pandas object with a DatetimeIndex with a freq not set to None Error ?

    To Solve ecompose() for time series: ValueError: You must specify a period or x must be a pandas object with a DatetimeIndex with a freq not set to None Error To resolve this problem, I have executed sort_index and the code above worked df.sort_index(inplace= True)

Solution 1

I’ve had the same issue and it eventually turned out (in my case at lease) to be an issue of missing data points in my dataset. In example I have hourly data for a certain period of time and there where 2 separate hourly data points missing (in the middle of the dataset). So I got the same error. When testing on a different dataset with no missing data points, it worked without any error messages. Hope this helps. It’s not exactly a solution.

Solution 2

To resolve this problem, I have executed sort_index and the code above worked

df.sort_index(inplace= True)

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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