delete index in df
>>> df.reset_index(drop=True)
class max_speed
0 bird 389.0
1 bird 24.0
2 mammal 80.5
3 mammal NaN
delete index in df
>>> df.reset_index(drop=True)
class max_speed
0 bird 389.0
1 bird 24.0
2 mammal 80.5
3 mammal NaN
pandas drop integer index
In [5055]: idx = np.ones(len(df.index), dtype=bool)
In [5057]: idx[rowindex] = False
In [5058]: df.iloc[idx] # or df.loc[idx]
Out[5058]:
A B C
2015-10-22 09:40:00 0.704959 0.995358 0.355915
2015-10-22 09:40:00 0.151127 0.398876 0.240856
2015-10-22 09:50:00 0.343456 0.513128 0.666625
2015-10-22 10:00:00 0.105908 0.130895 0.321981
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