On 8 Sep 2018 17:25:52 GMT, Stefan Ram <r...@zedat.fu-berlin.de> wrote:
> Sharan Basappa <sharan.basa...@gmail.com> writes:
>> 66 # get the label for each log
>> 67 data_df['label'] = (data_df['label'] != '-').astype(int)
>>---> 68 #logger.debug("data frame %s \n", data_df)
>> 69 logger.debug("\n")
>> 70 raw_data = data_df[['label','seconds_since']].as_matrix()
>>AttributeError: 'str' object has no attribute 'raw_data'
>>If you notice, line 68 is commented.
>>I am not sure what I am doing wrong.
>
> In such cases, I do:
>
> print( 'at position 1' )
> data_df['label'] = (data_df['label'] != '-').astype(int)
> print( 'at position 2' )
> raw_data = data_df[['label','seconds_since']].as_matrix()
> print( 'at position 3' )
>
> . If the last text printed is "at position 1", I will then
> split even more:
>
> print( 'at position 1' )
> tmp = (data_df['label'] != '-').astype(int)
> print( 'at position 1a' )
> data_df['label'] = tmp
> print( 'at position 2' )
> raw_data = data_df[['label','seconds_since']].as_matrix()
> print( 'at position 3' )
>
> and so on until the cause is reduced to the smallest
> possible unit of code.
This approach is especially valuable when it turns out that
the file you're editing is not the file being included.
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