how to fill missing values dataframe with mean
sub2['income'].fillna((sub2['income'].mean()), inplace=True)how to fill missing values dataframe with mean
sub2['income'].fillna((sub2['income'].mean()), inplace=True)python fillna with mean in a dataframe
df["newColumName"] = df["originalColumnName"].fillna(df["originalColumnName"].mean())how to replace null values with 0 in python
#Utilise the fillna function from pandas.DataFrame.
#Note: It will fill na values for every column.
import pandas as pd
df = pd.DataFrame(dict)
#or
df = pd.read_csv("csv_file")
df = df.fillna(0)
#Note: the fillna function comes from the pandas dataframe function.
#For example:
pd.DataFrame(dict).fillna(int)
#Pandas DataFrame function is also a class because it contains functions
#of its own.
#The same with read_csv function and
#other pandas functions that read diffrent file formats.Copyright © 2021 Codeinu
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