Mar 27, 2023 · Apr 7, 2023 · Apr 7, 2023 · Apr 7, 2023 · Apr 7, 2023 · Apr 7, 2023
diff --git a/Lib/csv.py b/Lib/csv.py
            if len(row) != columns:
                continue # skip rows that have irregular number of columns

            #checking if all col are strings
            #checking if all col are strings
            for cols in list(columnTypes.keys()):
                if row[cols].isnumeric():
                    col_are_strings = False
        # finally, compare results against first row and "vote"
        # on whether it's a header
        hasHeader = 0
        # here we added the special case where all cols are strings anddictionnary has been emptied
        # here we added the special case where all cols are strings anddictionary has been emptied
        if not columnTypes and col_are_strings==True and columns>0:
            #dictionary now takes the average length of strings
            columnTypes[0] = int(average_size/columns)
Original file line number	Diff line number	Diff line change
Expand Up		@@ -414,7 +414,7 @@ def has_header(self, sample):
		if len(row) != columns:
		continue # skip rows that have irregular number of columns

		#checking if all col are strings
		#checking if all col are strings
		for cols in list(columnTypes.keys()):
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		if row[cols].isnumeric():
		col_are_strings = False
Expand DownExpand Up		@@ -447,7 +447,7 @@ def has_header(self, sample):
		# finally, compare results against first row and "vote"
		# on whether it's a header
		hasHeader = 0
		# here we added the special case where all cols are strings anddictionnary has been emptied
		# here we added the special case where all cols are strings anddictionary has been emptied
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		if not columnTypes and col_are_strings==True and columns>0:
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		#dictionary now takes the average length of strings
		columnTypes[0] = int(average_size/columns)
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Expand Down