1, a space worthy of deletion: space worth meaning no alignment between the upper and lower data file ,, there is a space, not a vacancy value
from pandas import read_csv; df = read_csv('D://PA//4.5//data.csv') newName = df['name'].str.strip(); df['name'] = newName;
2, delete the missing values
from pandas import read_csv; df = read_csv('D://PA//4.4//data.csv'); newDF = df.dropna();
3, delete duplicate worth
from pandas import read_csv; df = read_csv('D://PA//4.3//data.csv') newDF = df.drop_duplicates();