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python - Getting the integer index of a Pandas DataFrame row fulfilling a condition?

I have the following DataFrame:

   a  b  c
b
2  1  2  3
5  4  5  6

As you can see, column b is used as an index. I want to get the ordinal number of the row fulfilling ('b' == 5), which in this case would be 1.

The column being tested can be either an index column (as with b in this case) or a regular column, e.g. I may want to find the index of the row fulfilling ('c' == 6).

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Use Index.get_loc instead.

Reusing @unutbu's set up code, you'll achieve the same results.

>>> import pandas as pd
>>> import numpy as np


>>> df = pd.DataFrame(np.arange(1,7).reshape(2,3),
                  columns = list('abc'),
                  index=pd.Series([2,5], name='b'))
>>> df
   a  b  c
b
2  1  2  3
5  4  5  6
>>> df.index.get_loc(5)
1

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