drop if nan in column pandas
df = df[df['EPS'].notna()]remove rows or columns with NaN value
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')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')
dropping nan in pandas dataframe
df.dropna(subset=['name', 'born'])dropna pandas
>>> df.dropna(axis='columns')
name
0 Alfred
1 Batman
2 CatwomanCopyright © 2021 Codeinu
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