Problem with date type (object to datetime)

[karlito]

While using read_csv one can pass something like

df = pd.read_csv('my.csv', headers=None, converters={0: lambda x: datetime.datetime.strptime(x, '%d.%m.%Y %H:%M')})

and format as datetime while reading without need to convert it later (if passing headers name then converters key must be corresponding to that header name)

Thks Perfringo,

but I got this new error:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-76-5dc85874d75f> in <module>
      7 
      8 #data = pd.read_csv('data.csv', low_memory = False)
----> 9 data = pd.read_csv('data.csv', header=None, converters={0: lambda x: datetime.datetime.strptime(x, '%d.%m.%Y %H:%M')})
     10 data.head()

~/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, doublequote, delim_whitespace, low_memory, memory_map, float_precision)
    676                     skip_blank_lines=skip_blank_lines)
    677 
--> 678         return _read(filepath_or_buffer, kwds)
    679 
    680     parser_f.__name__ = name

~/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
    444 
    445     try:
--> 446         data = parser.read(nrows)
    447     finally:
    448         parser.close()

~/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in read(self, nrows)
   1034                 raise ValueError('skipfooter not supported for iteration')
   1035 
-> 1036         ret = self._engine.read(nrows)
   1037 
   1038         # May alter columns / col_dict

~/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in read(self, nrows)
   1846     def read(self, nrows=None):
   1847         try:
-> 1848             data = self._reader.read(nrows)
   1849         except StopIteration:
   1850             if self._first_chunk:

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.read()

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._read_low_memory()

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._read_rows()

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._convert_column_data()

pandas/_libs/parsers.pyx in pandas._libs.parsers._apply_converter()

<ipython-input-76-5dc85874d75f> in <lambda>(x)
      7 
      8 #data = pd.read_csv('data.csv', low_memory = False)
----> 9 data = pd.read_csv('data.csv', header=None, converters={0: lambda x: datetime.datetime.strptime(x, '%d.%m.%Y %H:%M')})
     10 data.head()

AttributeError: type object 'datetime.datetime' has no attribute 'datetime'