Drop nan hodnoty z dataframe python

Příklady kódu

2
0

odstraňte řádky nebo sloupce s hodnotou NaN

df.dropna()     #drop all rows that have any NaN values
df.dropna(how='all')
1
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pandy drop řádky s nan v určitém sloupci

In [30]: df.dropna(subset=[1])   #Drop only if NaN in specific column (as asked in the question)
Out[30]:
          0         1         2
1  2.677677 -1.466923 -0.750366
2       NaN  0.798002 -0.906038
3  0.672201  0.964789       NaN
5 -1.250970  0.030561 -2.678622
6       NaN  1.036043       NaN
7  0.049896 -0.308003  0.823295
9 -0.310130  0.078891       NaN
0
0

drop sloupec s hodnotami nan

fish_frame = fish_frame.dropna(axis = 1, how = 'all')
0
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python odstranit nan řádky

df = df[df['my_var'].notna()]

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