Using Boolean Indexing¶
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import numpy as np
import pandas as pd
s = pd.Series([True, False, True, True, False, False, False, True])
s[s].index
Out[1]:
Use .values if you need a np.array object.
In [6]:
s[s].index.values
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Using np.nonzero¶
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np.nonzero(s)
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Using np.flatnonzero¶
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np.flatnonzero(s)
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Using np.where¶
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np.where(s)[0]
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Using np.argwhere¶
In [13]:
np.argwhere(s).ravel()
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Using pd.Series.index¶
In [14]:
s.index[s]
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Using python's built-in filter¶
In [15]:
[*filter(s.get, s.index)]
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Using list comprehension¶
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[i for i in s.index if s[i]]
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