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Automatic extraction of relevant features from time series:

Results 87 tsfresh issues
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**The problem**: Hi, great package! Thanks fro developping! I am running the feature extraction on two datasets that have the same IDs but with different length. I use the same...

bug

The current implementation of checking the index of x and y is very unefficient for large data. Using the Panda function Index.equals solves this. ![grafik](https://user-images.githubusercontent.com/45793125/183654781-a591b4f2-cb88-49ad-974d-7736e5d98ab3.png)

**The problem**: When trying to `pip install tsfresh` on a M1 Mac, the following error is encountered due to the `matrixprofile` sub-package : ``` × Running setup.py install for matrixprofile...

bug

**The problem**: Hello, I have got a super small dataframe where I ran into an error with feature extraction `features = extract_features(df, column_id="index")` ``` Traceback (most recent call last): File...

bug

### Discussed in https://github.com/blue-yonder/tsfresh/discussions/959 Originally posted by **jtlz2** August 3, 2022 Awesome package, thanks! I'm trying to use the feature-selector transformer within a sklearn pipeline but keep getting errors like...

enhancement

### Discussed in https://github.com/blue-yonder/tsfresh/discussions/957 Originally posted by **AmirSahil** July 28, 2022 Thank you for this amazing library that helps in extracting features for time series data. I have studied the...

Long story short, **extract_features** is not working as expected, it produces a lot of invalid values > [np.nan, np.inf, -np.inf]. Steps to reproduce the issue: 1) Have an input dataframe...

bug

The function `extract_features()` can be very computationally intensive when there are a lot of columns (features) in the rolled data frame. Sometimes I would like to make changes to the...

### PR contains: - Features on features function ```extract_feature_dynamics()``` - Generate pdf of feature dynamics function to assist with interpretation ```gen_pdf_for_feature_dynamics()``` - Engineer input timeseries function by taking differences within...

**The problem**: I couldn't get the result and there is no error message. The output of extract_features is blank. Below is the information of the data: ![image](https://user-images.githubusercontent.com/41245856/175247886-12b7a45e-4d5f-4bb4-8946-281b06e0e86f.png) ![image](https://user-images.githubusercontent.com/41245856/175248006-d04a2322-d1fd-45d3-8ccc-17e8221ddf34.png) Any idea?...

bug