Summary of pandas error-prone points

1. When filtering according to multiple conditions, you should use & instead of and, such as:
lc.loc[(lc[“grade”] == “B”) & (lc[“loan_amnt”] > 5000)]
2. Single Before assigning series to series, you need to convert the data format, such as int, float, datetime
3. The difference between loc, iloc and ix is ​​that
loc takes the value according to the index name, such as:

import pandas as pd
data = [[1,2,3],[4,5,6]]
index = ['d','e']
columns=['a','b','c']
df = pd.DataFrame(data=data, index=index, columns=columns)
print df.loc['d']
'''
a    1
b    2
c    3
'''

Index a row and a column:

import pandas as pd  
data = [[1,2,3],[4,5,6]]  
index = ['d','e']  
columns=['a','b','c']  
df = pd.DataFrame(data=data, index=index, columns=columns)  
print df.loc['d',['b','c']]  
''''' 
b    2 
c    3 
'''  

iloc gets row data by row number, but not by row label index.
ix can be indexed either by line number or by line label.

updating……….