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Python | Pandas Panel.clip ()

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Panel.clip() is used to trim values ​​at the input threshold. Thresholds can be single or massive.

Syntax: Panel.clip (lower = None, upper = None, axis = None, inplace = False, * args, ** kwargs)

Parameters: Parameters:
lower: Minimum threshold value. All values ​​below this threshold will be set to it.
upper: Maximum threshold value. All values ​​above this threshold will be set to it.
axis: Align object with lower and upper along the given axis.
inplace: Whether to perform the operation in place on the data.

Returns: [Series or DataFrame] Same type as calling object with the values ​​outside the clip boundaries replaced.

Code # 1: Create a panel with from_dict ()

# pandas module import

import pandas as pd 

import numpy as np

 

df1 = pd.DataFrame ({ ’a’ : [ ’ Geeks’ , ’For’ , ’geeks’ ], 

  ’b’ : np.random.randn ( 3 )})

 

data = { ’item1’ : df1, ’item2’ : df1}

  
# create a panel

panel = pd.Panel.from_dict (data, orient = ’ minor’ )

print < / code> (panel)

Output:

Code # 2: Using the clip () function

# pandas module import

import pandas as pd 

import numpy as np

 

df1 = pd.DataFrame ({ ’ a’ : [ ’Geeks’ , ’ For’ , ’geeks’ ], 

  ’ b’ : np.random.randn ( 3 )})

 

data = { ’item1’ : df1, ’item2’ : df1}

 
# create a panel

panel = pd.Panel.from_dict (data, orient = ’minor’ )

  

print (panel [ ’b’ ], ’’ )

 

 

df2 = pd.DataFrame ({ ’b’ : [ 11 , 12 , 13 ]})

print (panel [ ’b’ ]. clip (df2 [ ’b’ ], axis = 0 ))

Output:

Code # 3: Using the clip () function

# pandas module import

import pandas as pd 

import numpy as np

 

df1 = pd.DataFrame ({ ’a’ : [ ’Geeks’ , ’ For’ , ’geeks’ , ’real’ ], 

  ’b’ : [ - 11 , + 1.025 , - 114.48 , 1333 ]})

 

data = { ’item1’ : df1, ’ item2’ : df1}

 
# create a panel

panel = pd.Panel.from_dict (data, orient = ’minor’ )

 

print (panel [ ’b’ ], ’ ’  )

 

print (panel [ ’ b’ ]. clip ( - 4 , 6 ))

Output:

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