/Python/Get first not null value from column dataframe

Get first not null value from column dataframe

s = pd.Series([np.nan,2,np.nan])
print (s)
0    NaN
1    2.0
2    NaN
dtype: float64

print (s.first_valid_index())
1

print (s.loc[s.first_valid_index()])
2.0

# If your Series contains ALL NaNs, you'll need to check as follows:

s = pd.Series([np.nan, np.nan, np.nan])
idx = s.first_valid_index()  # Will return None
first_valid_value = s.loc[idx] if idx is not None else None
print(first_valid_value)
None

Source: stackoverflow.com

Similar codes

15 votes161 views1 answer
Function to a button in tkinter
Python
1 vote123 views1 answer
Python pandas row standard deviation
Python
0 vote173 views1 answer
Pathlib remove extension
Python
0 vote182 views1 answer
Resize image array python
Python
0 vote151 views1 answer
Table and amorization charts using tkinter
Python
1 vote164 views1 answer
Declare empty array of complex type python
Python
8 votes180 views1 answer
Find sum of 2 numbers in array using python
Python
3 votes179 views4 answers
Python list append
Python
2 votes163 views2 answers
Save a Dictionary to File in Python Using the dump Function of the pickle Module
Python
5 votes183 views3 answers
Sys python
Python