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()]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(subset=['name', 'born'])fish_frame = fish_frame.dropna(axis = 1, how = 'all')df = df[df['my_var'].notna()]