Drop Row se todos os valores forem nan
df = df.dropna(axis = 0, how = 'all')
Tender Turtle
df = df.dropna(axis = 0, how = 'all')df = df[df['EPS'].notna()]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.dropna() #drop all rows that have any NaN values
df.dropna(how='all')#return a subset of the dataframe where the column name value != NaN
df.loc[df['column name'].isnull() == False]