Hướng dẫn dùng panda round python

Number of decimal places to round each column to. If an int is given, round each column to the same number of places. Otherwise dict and Series round to variable numbers of places. Column names should be in the keys if decimals is a dict-like, or in the index if decimals is a Series. Any columns not included in decimals will be left as is. Elements of decimals which are not columns of the input will be ignored.

Additional keywords have no effect but might be accepted for compatibility with numpy.

Additional keywords have no effect but might be accepted for compatibility with numpy.

A DataFrame with the affected columns rounded to the specified number of decimal places.

See also

Round a numpy array to the given number of decimals.

Round a Series to the given number of decimals.

Examples

>>> df = pd.DataFrame[[[.21, .32], [.01, .67], [.66, .03], [.21, .18]],
...                   columns=['dogs', 'cats']]
>>> df
    dogs  cats
0  0.21  0.32
1  0.01  0.67
2  0.66  0.03
3  0.21  0.18

By providing an integer each column is rounded to the same number of decimal places

>>> df.round[1]
    dogs  cats
0   0.2   0.3
1   0.0   0.7
2   0.7   0.0
3   0.2   0.2

With a dict, the number of places for specific columns can be specified with the column names as key and the number of decimal places as value

>>> df.round[{'dogs': 1, 'cats': 0}]
    dogs  cats
0   0.2   0.0
1   0.0   1.0
2   0.7   0.0
3   0.2   0.0

Using a Series, the number of places for specific columns can be specified with the column names as index and the number of decimal places as value

Determines which duplicates [if any] to keep. - first : Drop duplicates except for the first occurrence. - last : Drop duplicates except for the last occurrence. - False : Drop all duplicates.

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandasdataframe.round[] function is used to round a DataFrame to a variable number of decimal places. This function provides the flexibility to round different columns by different places.

Syntax:DataFrame.round[decimals=0, *args, **kwargs]
Parameters :
decimals : Number of decimal places to round each column to. If an int is given, round each column to the same number of places. Otherwise dict and Series round to variable numbers of places. Column names should be in the keys if decimals is a dict-like, or in the index if decimals is a Series. Any columns not included in decimals will be left as is. Elements of decimals which are not columns of the input will be ignored.

Returns : DataFrame object

Example #1: Use round[] function to round off all columns in the dataframe to 3 decimal places

Note : We need to populate our dataframe with decimal values. Let’s use numpy random function to achieve the task.

# importing pandas as pd

import pandas as pd

# importing numpy as np

import numpy as np

round[]0

round[]1round[]2round[]3

round[]5

round[]6round[]7 round[]8round[]9# importing pandas as pd0# importing pandas as pd1# importing pandas as pd2round[]7# importing pandas as pd4# importing pandas as pd5# importing pandas as pd0# importing pandas as pd7# importing pandas as pd0# importing pandas as pd9# importing pandas as pd0import1import2

import4

round[]6

Lets use the import6 function to round off all the decimal values in the dataframe to 3 decimal places.

import7import8import9pandas as pd0round[]3

Output :

# importing pandas as pd

import pandas as pd

# importing numpy as np

import numpy as np

round[]0

round[]1round[]2round[]3

round[]5

round[]6round[]7 round[]8round[]9# importing pandas as pd0# importing pandas as pd1# importing pandas as pd2round[]7# importing pandas as pd4# importing pandas as pd5# importing pandas as pd0# importing pandas as pd7# importing pandas as pd0# importing pandas as pd9# importing pandas as pd0import1import2

import4

round[]6

Lets perform round off each column to different places

import7

import8

import9

numpy as np0

numpy as np1

import7import8numpy as np5# importing pandas as pd5numpy as np7numpy as np8# importing pandas as pd0# importing pandas as pd7numpy as np7 2# importing pandas as pd0# importing pandas as pd9numpy as np7pandas as pd0# importing pandas as pd0import1numpy as np7# importing pandas as pd1round[]01