soltar si nan en la columna pandas
df = df[df['EPS'].notna()]
cómo eliminar valores nan en python
x = x[~numpy.isnan(x)]
eliminar filas o columnas con valor NaN
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')
eliminar nan de la lista python
cleanedList = [x for x in countries if str(x) != 'nan']
pandas caída fila con nan
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)
cómo filtrar todos los valores NaN en pandas df
#return a subset of the dataframe where the column name value != NaN
df.loc[df['column name'].isnull() == False]