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Python | Pandas Panel.rfloordiv()

  • Last Updated : 28 Jan, 2019

In Pandas, Panel is a very important container for three-dimensional data. The names for the 3 axes are intended to give some semantic meaning to describing operations involving panel data and, in particular, econometric analysis of panel data.

In Pandas Panel.rfloordiv() function is used to get the integer division of series and dataframe/Panel.

Syntax: Panel.rfloordiv(other, axis=0)

Parameters:
other : DataFrame or Panel
axis : Axis to broadcast over

Returns: Panel



Code #1:




# importing pandas module 
import pandas as pd 
import numpy as np 
  
df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks', 'real'], 
                    'b': [111, 123, 425, 1333]}) 
  
df2 = pd.DataFrame({'a': ['I', 'am', 'dataframe', 'two'], 
                    'b': [5, 5, 2, 10]}) 
                      
data = {'item1':df1, 'item2':df2}
  
# creating Panel 
panel = pd.Panel.from_dict(data, orient ='minor'
print("panel['b'] is - \n\n", panel['b']) 
  
print("\nInteger Dividing panel['b'] with df2['b'] using rfloordiv() method - \n"
print("\n", panel['b'].rfloordiv(df2['b'], axis = 0)) 
Output:
panel['b'] is - 

    item1  item2
0    111      5
1    123      5
2    425      2
3   1333     10

Integer Dividing panel['b'] with df2['b'] using rfloordiv() method - 


    item1  item2
0      0      1
1      0      1
2      0      1
3      0      1

 

Code #2:




# importing pandas module 
import pandas as pd 
import numpy as np 
  
df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks', 'for', 'real'], 
                    'b': [11, 1.025, 333, 114.48, 1333]}) 
                      
df2 = pd.DataFrame({'a': ['I', 'am', 'DataFrame', 'number', 'two'], 
                    'b': [3, 3, 3, 13, 27]})                     
                      
data = {'item1':df1, 'item2':df2} 
  
# creating Panel 
panel = pd.Panel.from_dict(data, orient ='minor'
  
print("panel['b'] is - \n\n", panel['b'], '\n'
  
print("\nInteger Dividing panel['b']['item1'] with df2['b'] or panel['b']['item2'] using rfloordiv() method - \n"
print("\n", panel['b']['item1'].rfloordiv(df2['b'], axis = 0)) 
Output:
panel['b'] is - 

       item1  item2
0    11.000      3
1     1.025      3
2   333.000      3
3   114.480     13
4  1333.000     27 


Integer Dividing panel['b']['item1'] with df2['b'] or panel['b']['item2'] using rfloordiv() method - 


 0    0
1    2
2    0
3    0
4    0
dtype: float64

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