drop if nan in column pandas
df = df[df['EPS'].notna()]
drop null rows pandas
df.dropna()
pandas remove rows with null in column
df = df[df['EPS'].notna()]
clean nas from column pandas
>>> df.dropna()
name toy born
1 Batman Batmobile 1940-04-25
threshold meaning in pandas dropna
>>>df = pd.DataFrame({"name": ['Alfred', 'Batman', 'Catwoman'],
"toy": [np.nan, 'Batmobile', 'Bullwhip'],
"born": [pd.NaT, pd.Timestamp("1940-04-25"),
pd.NaT]})
df.dropna(thresh=2)
name toy born
1 Batman Batmobile 1940-04-25
2 Catwoman Bullwhip NaT
Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us