drop - li nan ve sloupci pandy
df = df[df['EPS'].notna()]
jak odstranit hodnoty na v dataframe
# if you want to delete rows containing NA values
df.dropna(inplace=True)
drop null řádky pandy
df.dropna()
drop sloupce s nan pandy
>>> df.dropna(axis='columns')
name
0 Alfred
1 Batman
2 Catwoman
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)
python odstranit nan řádky
df = df[df['my_var'].notna()]