Python pandas.DataFrame.from_csv
The challenge is very simple data analysis, where I load the report using api and it comes as a csv file. I am trying to convert it correctly to a DataFrame using the following code:
@staticmethod
def convert_csv_to_data_frame(csv_buffer_file):
data = StringIO(csv_buffer_file)
dataframe = DataFrame.from_csv(path=data, index_col=0)
return dataframe
However, since the csv has no indexes inside it, the first column of data I need is ignored by the file frame because it counts as an index column. I wanted to know if there is a way to make the dataframe automatically insert the index column.
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Your mistake here was to assume that param index_col=0
means it will not treat your csv as having an index column. It should be index_col=None
, and in fact is the default, so you could leave it blank and it would work:
@staticmethod
def convert_csv_to_data_frame(csv_buffer_file):
data = StringIO(csv_buffer_file)
dataframe = DataFrame.from_csv(path=data) # remove index_col param
return dataframe
For more information refer to the docs
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