How does dataframe in pandas find rows with missing values

I read a CSV file with pandas, and then I want to see the lines in the file with missing values. Here is my code:
import pandas as pd
df_08 = pd.read_csv ("all_alpha_08.csv")
df_08.info ()
df_08 [df_08.isnull (). Values==True]
the last statement is filtered out for rows and columns with missing values, but the result is as follows: if there are n missing values in a line, Then the same record in n rows will be output repeatedly:

Mar.01,2021

df[df.isnull().values==True].drop_duplicates()
MySQL Query : SELECT * FROM `codeshelper`.`v9_news` WHERE status=99 AND catid='6' ORDER BY rand() LIMIT 5
MySQL Error : Disk full (/tmp/#sql-temptable-64f5-1e4ddf5-442c2.MAI); waiting for someone to free some space... (errno: 28 "No space left on device")
MySQL Errno : 1021
Message : Disk full (/tmp/#sql-temptable-64f5-1e4ddf5-442c2.MAI); waiting for someone to free some space... (errno: 28 "No space left on device")
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