Odebrat nan ze sloupce dataframe python

Příklady kódu

18
0

drop - li nan ve sloupci pandy

df = df[df['EPS'].notna()]
4
0

jak odstranit hodnoty na v dataframe

# if you want to delete rows containing NA values
df.dropna(inplace=True)
3
0

drop null řádky pandy

df.dropna()
1
0

drop sloupce s nan pandy

>>> df.dropna(axis='columns')
       name
0    Alfred
1    Batman
2  Catwoman
0
0

pandy padají s Babišem

import pandas as pd

df = pd.DataFrame({'values_1': ['700','ABC','500','XYZ','1200'],
                   'values_2': ['DDD','150','350','400','5000'] 
                   })

df = df.apply (pd.to_numeric, errors='coerce')
df = df.dropna()
df = df.reset_index(drop=True)

print (df)
0
0

python odstranit nan řádky

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

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