Cómo eliminar los valores de NA en un marco de datos
# if you want to delete rows containing NA values
df.dropna(inplace=True)
Expensive Eel
# if you want to delete rows containing NA values
df.dropna(inplace=True)
df.dropna(subset=[columns],inplace=True)
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)
df=df.dropna(subset=['columnname])