how to replace NaN value in python
Solution 1
Use fillna
(docs):
An example -
df = pd.DataFrame({'no': [1, 2, 3],
'Col1':['State','City','Town'],
'Col2':['abc', np.NaN, 'defg'],
'Col3':['Madhya Pradesh', 'VBI', 'KJI']})
df
no Col1 Col2 Col3
0 1 State abc Madhya Pradesh
1 2 City NaN VBI
2 3 Town defg KJI
df.Col2.fillna('', inplace=True)
df
no Col1 Col2 Col3
0 1 State abc Madhya Pradesh
1 2 City VBI
2 3 Town defg KJI
Solution 2
Simple! you can do this way
df_conbid_N_1 = pd.read_csv("test-2019.csv",dtype=str, sep=';',encoding='utf-8').fillna("")
yatu
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Updated on June 04, 2022Comments
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yatu almost 2 years
I have a list of
NaN
values in my dataframe and I want to replace NaN values with an empty string.What I've tried so far, which isn't working:
df_conbid_N_1 = pd.read_csv("test-2019.csv",dtype=str, sep=';', encoding='utf-8') df_conbid_N_1['Excep_Test'] = df_conbid_N_1['Excep_Test'].replace("NaN","")