filter nulla values only pandas
#Python, pandas
#Obtain a dataframe df containing only the rows where "column1" is null (NaN)
df[df['column1'].isnull()]filter nulla values only pandas
#Python, pandas
#Obtain a dataframe df containing only the rows where "column1" is null (NaN)
df[df['column1'].isnull()]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)
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