About filter used in conjunction with:
notnull with all isnull with any
For example: filter to obtain useful data for the following data
Method a: null exclusion
Import PANDAS AS PD
Import numpy AS NP
from PANDAS Import Series, DataFrame
DF = DataFrame (Data = np.random.randint (10, 60, size = (8, 8 )))
df.iloc [ l, 3] = None
DF .iloc [ 2,6] = None
df.iloc [ 4,1] = None
df.iloc [ 5,6] = np.nan
DF
df.notnull (). all (Axis =. 1) # is not empty of all Boolean record index
df.loc [df.notnull (). All (Axis =. 1)] # the index value
df.loc [df.isnull (). the any (Axis =. 1)] # null values recorded Article number
Directly call dropna removal method to perform a null value
df.dropna(axis=0)
Method two: filled with the current value
df.fillna (Method = ' ffill ' , axis = 1) # with the value of the filling front transverse axis = 1 filled vertical axis = 0 filled
df.fillna (Method = ' backfill ' , axis = 1) # filled with the value of the back