Reputation: 153
I have an extract of a dataframe below:
IndexR ATOI_INDEX pf_52w_rolling_R atoi_52w_rolling_R
date
2012-07-27 3.576907 1.384371 -0.208960 -0.038279
2012-08-03 3.563627 1.388237 -0.129268 0.039078
2012-08-10 3.598886 1.404311 -0.118584 0.032610
2012-08-17 3.731085 1.433466 -0.048716 0.072498
2012-08-24 3.727810 1.426206 -0.053756 0.043906
2012-08-31 3.588335 1.417722 -0.092489 0.026757
2012-09-07 3.613275 1.419281 -0.081376 0.040861
2012-09-14 3.746451 1.438596 0.006892 0.066220
2012-09-21 3.834664 1.445147 0.163057 0.136574
2012-09-28 3.785910 1.438789 0.138433 0.099768
2012-10-05 3.899735 1.473921 0.084421 0.086089
2012-10-12 3.896683 1.472302 0.070044 0.073716
2012-10-19 4.040653 1.499956 0.142053 0.110457
2012-10-26 3.934642 1.468487 0.063541 0.034418
2012-11-02 3.939487 1.464218 0.094581 0.048841
2012-11-09 3.953680 1.464842 0.068256 0.046199
2012-11-16 3.802839 1.424206 0.080771 0.045743
2012-11-23 3.874423 1.449342 0.178798 0.115653
2012-11-30 3.976766 1.480888 0.115446 0.058999
2012-12-07 3.974976 1.497452 0.113870 0.092148
I need to print the date in which the minimum value of the pf_52w_rolling_R
occurred.
I've tried a number of possibilities, but I keep getting type errors (TypeError: cannot do index indexing on <class 'pandas.core.indexes.datetimes.DatetimeIndex'> with these indexers [-0.208960] of <class 'float'>
The latest attempt is below:
rolling.loc[rolling['pf_52w_rolling_R'].min()]
Upvotes: 0
Views: 28
Reputation: 323316
Let us try idxmim
which will return the min value index
rolling.loc[rolling['pf_52w_rolling_R'].idxmin()]
Upvotes: 2