drop if nan in column pandas
df = df[df['EPS'].notna()]
drop_na in pandas
# importing pandas module import pandas as pd # making data frame from csv file data = pd.read_csv("nba.csv") # making new data frame with dropped NA values new_data = data.dropna(axis = 0, how ='any')
drop columns with nan pandas
>>> df.dropna(axis='columns') name 0 Alfred 1 Batman 2 Catwoman
drop na in pandas
df.dropna(inplace = True) or df_new = df.dropna()
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