python pandas convert index to datetime

Question

How do i convert a pandas index of strings to datetime format  my dataframe  df  is like this                       value           2015-09-25 00 46    71 925000 2015-09-25 00 47    71 625000 2015-09-25 00 48    71 333333 2015-09-25 00 49    64 571429 2015-09-25 00 50    72 285714   but the index is of type string  but i need it a datetime format because i get the error   Index  object has no attribute  hour    when using    df  A     df index hour

User · Accepted Answer

It should work as expected  Try to run the following example   import pandas as pd import io  data      value            2015-09-25 00 46     71 925000  2015-09-25 00 47     71 625000  2015-09-25 00 48     71 333333  2015-09-25 00 49     64 571429  2015-09-25 00 50     72 285714     df   pd read table io StringIO data   delim whitespace True     Converting the index as date df index   pd to datetime df index     Extracting hour  amp  minute df  A     df index hour df  B     df index minute df                             value  A   B   2015-09-25 00 46 00  71 925000  0  46   2015-09-25 00 47 00  71 625000  0  47   2015-09-25 00 48 00  71 333333  0  48   2015-09-25 00 49 00  64 571429  0  49   2015-09-25 00 50 00  72 285714  0  50

User · Answer

You could explicitly create a DatetimeIndex when initializing the dataframe  Assuming your data is in string format  data           2015-09-25 00 46    71 925000          2015-09-25 00 47    71 625000          2015-09-25 00 48    71 333333          2015-09-25 00 49    64 571429          2015-09-25 00 50    72 285714       index  values   zip  data   frame   pd DataFrame        values   values    index pd DatetimeIndex index    print frame index minute

User · Answer

Doing df index   pd to datetime df index  errors  coerce    the data type of the index has changed to

User · Answer

I just give other option for this question - you need to use   dt  in your code    x000D   x000D  import pandas as pd x000D   x000D  df index   pd to datetime df index  x000D   x000D   for get year x000D  df index dt year x000D   x000D   for get month x000D  df index dt month x000D   x000D   for get day x000D  df index dt day x000D   x000D   for get hour x000D  df index dt hour x000D   x000D   for get minute x000D  df index dt minute x000D   x000D   x000D

User · Answer

In my case  my dataframe has the following characteristics  lt class  pandas core frame DataFrame  gt  Index  3040 entries  15 12 2008 to   Data columns  total 1 columns        Column  Non-Null Count  Dtype   ---  ------  --------------  -----    0   Close   3038 non-null   float64 dtypes  float64 1  memory usage  47 5  KB   The first option  data index   pd to datetime data index  returned ParserError  String does not contain a date     ParserError  String does not contain a date  The second option  data index to datetime   returned AttributeError   Index  object has no attribute  to datetime  It returned Another option I have tested is  data index   pd to datetime data index  It returned   ParserError  String does not contain a date  What could be my problem  Thanks

[python] python pandas convert index to datetime

Examples related to python

Examples related to pandas