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I have a csv file where one of the columns is a date/time string. How do I parse it correctly with pandas? I don't want to make that column the index. Thanks!
Uri
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Use astype() function to convert the string column to datetime data type in pandas DataFrame. The data type of the DateTime isdatetime64[ns] ; should be given as the parameter. Yields same output as above.
In Pandas, you can convert a column (string/object or integer type) to datetime using the to_datetime() and astype() methods.
For non-standard datetime parsing, use pd.to_datetime after pd.read_csv . To parse an index or column with a mixture of timezones, specify date_parser to be a partially-applied pandas.to_datetime() with utc=True . See Parsing a CSV with mixed timezones for more.
To select a single column, use square brackets [] with the column name of the column of interest.
Pass dateutil.parser.parse (or another datetime conversion function) in the converters argument to read_csv
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