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pandas fill nan methods Code Example
how to fill nan values with mean in pandas
df.fillna(df.mean())
dataframe fill nan with mode
df['Column_Name'].fillna(df['Column_Name'].mode()[0], inplace=True)
pandas fill nan methods
# axis=1 means fillna by rows
df = df.fillna(axis=1, method='backfill')
df = df.fillna(axis=1, method='ffill')

# methods
# pad / ffill: propagate last valid observation forward to next valid.
# backfill / bfill: use next valid observation to fill gap.




Python

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