Python pandas select rows by date list

Question

How to select multiple rows of a data frame by date list

dates = pd.date_range('20130101', periods=6)
df = pd.DataFrame(np.random.randn(6,4), index=dates, columns=list('ABCD'))

In[1]: df

Out[1]: 
                   A         B         C         D
2013-01-01  0.084393 -2.460860 -0.118468  0.543618
2013-01-02 -0.024358 -1.012406 -0.222457  1.906462
2013-01-03 -0.305999 -0.858261  0.320587  0.302837
2013-01-04  0.527321  0.425767 -0.994142  0.556027
2013-01-05  0.411410 -1.810460 -1.172034 -1.142847
2013-01-06 -0.969854  0.469045 -0.042532  0.699582

myDates = ["2013-01-02", "2013-01-04", "2013-01-06"]

So the output should be

                   A         B         C         D
2013-01-02 -0.024358 -1.012406 -0.222457  1.906462
2013-01-04  0.527321  0.425767 -0.994142  0.556027
2013-01-06 -0.969854  0.469045 -0.042532  0.699582

Answer 1

You can use the method index.isin()to create a logical index for a subset:

df[df.index.isin(myDates)]

Answer 2

Convert your entry to DateTimeIndex:

df.loc[pd.to_datetime(myDates)]

                   A         B         C         D
2013-01-02 -0.047710 -1.827593 -0.944548 -0.149460
2013-01-04  1.437924  0.126788  0.641870  0.198664
2013-01-06  0.408820 -1.842112 -0.287346  0.071397