Python repeats data with multiple attributes to __python

The pandas module in Python steps to repeat data:

1) using the duplicated method in Dataframe to return a Boolean series, showing whether there are duplicate rows in each row, no duplicate rows displayed as false, and duplicate rows showing as true;

2) Use the Drop_duplicates method in Dataframe to return a dataframe that removes duplicate rows.

Comments:

If a parameter is not set in the duplicated method and the Drop_duplicates method, the two methods are judged by default, if the specified property name (or column name) is added to the two methods, for example: frame.drop_duplicates ([' State '], specifies that the partial column (state column) will be judged for duplicates.

Specific examples are as follows:

>>> import pandas as PD
>>> data={' state ': [1,1,2,2], ' Pop ': [' A ', ' B ', ' C ', ' d ']}
>>> FRAME=PD. Dataframe (data)
>>> frame
  pop  State
0   a      1
1   b      1
2   C      2
3   d      2
>>> isduplicated=frame.duplicated ()
>>> Print isduplicated
0    false
1    false
2    False
3    false
Dtype:bool
> >> frame=frame.drop_duplicates ([' State '])
>>> frame
  pops  State
0   a      1
2   C      2
>>> isduplicated=frame.duplicated ([' State '])
>>> Print isduplicated
0    false
2    false
Dtype:bool