soltar si nan en la columna pandas
df = df[df['EPS'].notna()]
eliminar filas o columnas con valor NaN
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')
pandas donde retuning NaN
# Try using a loc instead of a where:
df_sub = df.loc[df.yourcolumn == 'yourvalue']
limpiar nas de pandas de columna
>>> df.dropna()
name toy born
1 Batman Batmobile 1940-04-25
manejo de dvalues faltantes denotados por a ? en pandas
# Making a list of missing value typesmissing_values = ["n/a", "na", "--"]df = pd.read_csv("property data.csv", na_values = missing_values)