pandas function read_csv() reads a .csv file. Its documentation is here According to documentation, we know: dtype : Type name or dict of column -> type, default None Data type for data or columns. E.g. {‘a’: np.float64, ‘b’: np.int32} (Unsupported with engine=’python’) and converters : dict, default None Dict of functions for converting values in certain columns. Keys can either be integers or column labels When using this function, I can call either pandas.read_csv('file',dtype=object) or pandas.read_csv('file',converters=object). Obviously, converter, its name can says that data type will be converted but I wonder the case of dtype? Continue reading...
