One more way to eliminate this kind of error is you can save this csv file in utf-8 csv format.
This can be done by opening this csv file in excel and saving it as the format metioned.
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One more way to eliminate this kind of error is you can save this csv file in utf-8 csv format.
This can be done by opening this csv file in excel and saving it as the format metioned.
When I execute this line ''data = pd.read_csv('UKretail.csv')'', I get a long error conveying
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa3 in position 28: invalid start byte
But when I add nrows = 20 i.e '' data = pd.read_csv('UKretail.csv', nrows = 20)'', this code executes smoothly without any error. Why only pd.read_csv('UKretail.csv') is throwing error? What change takes place by adding only one argument i.e nrows = 20?