pandas replace specific values in column with nan code example
Example 1: replace nan in pandas
df['DataFrame Column'] = df['DataFrame Column'].fillna(0)
Example 2: replace "-" for nan in dataframe
df.replace(np.nan,0)
Example 3: replace all nan values in dataframe
df = df.fillna(0)
Example 4: replace nan in pandas column with mode and printing it
def exercise4(df):
df1 = df.select_dtypes(np.number)
df2 = df.select_dtypes(exclude = 'float')
mode = df2.mode()
df3 = df1.fillna(df.mean())
df4 = df2.fillna(mode.iloc[0,:])
new_df = [df3,df4]
df5 = pd.concat(new_df,axis=1)
new_cols = list(df.columns)
df6 = df5[new_cols]
return df6
Example 5: pandas replace nan with value above
>>> df = pd.DataFrame([[1, 2, 3], [4, None, None], [None, None, 9]])
>>> df.fillna(method='ffill')
0 1 2
0 1 2 3
1 4 2 3
2 4 2 9