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The Use of Custom Readers that support Pandas DataFrames example is helpful to learn about how to implement a custom data reader in Stone Soup, but I think it may be confusing to new users. When I first read it, I thought it implied that in order to add support for reading truth/measurement data from DataFrames I needed to write my own _DataFrameReader, DataFrameGroundTruthReader, and DataFrameDetectionReader classes as shown in the first section of that example. However, these classes are now natively included in Stone Soup: stonesoup/reader/pandas_reader.py.
Perhaps this example should be updated to remove those sections showing reimplemented code and instead utilize the built-in classes? What do you think?
The text was updated successfully, but these errors were encountered:
The Use of Custom Readers that support Pandas DataFrames example is helpful to learn about how to implement a custom data reader in Stone Soup, but I think it may be confusing to new users. When I first read it, I thought it implied that in order to add support for reading truth/measurement data from DataFrames I needed to write my own
_DataFrameReader
,DataFrameGroundTruthReader
, andDataFrameDetectionReader
classes as shown in the first section of that example. However, these classes are now natively included in Stone Soup:stonesoup/reader/pandas_reader.py
.Perhaps this example should be updated to remove those sections showing reimplemented code and instead utilize the built-in classes? What do you think?
The text was updated successfully, but these errors were encountered: