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.floordiv() function is used to get the integer division of series and dataframe/Panel.
Syntax: Panel.floordiv(other, axis=0)
Parameters:
other : DataFrame or Panel
axis : Axis to broadcast overReturns: Panel
Code #1:
# importing pandas module import pandas as pd import numpy as np   df1 = pd.DataFrame({'a': ['Geeks', 'For', 'neveropen', 'real'],                     'b': [111, 123, 425, 1333]})   df2 = pd.DataFrame({'a': ['I', 'am', 'dataframe', 'two'],                     'b': [100, 100, 100, 100]})                       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 floordiv() method - \n") print("\n", panel['b'].floordiv(df2['b'], axis = 0)) |
Output:
panel['b'] is -
item1 item2
0 111 100
1 123 100
2 425 100
3 1333 100
Integer Dividing panel['b'] with df2['b'] using floordiv() method -
item1 item2
0 1 1
1 1 1
2 4 1
3 13 1
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Code #2:
# importing pandas module import pandas as pd import numpy as np   df1 = pd.DataFrame({'a': ['Geeks', 'For', 'neveropen', 'for', 'real'],                     'b': [11, 1.025, 333, 114.48, 1333]})   data = {'item1':df1, 'item2':df1}   # creating Panel panel = pd.Panel.from_dict(data, orient ='minor') print("panel['b'] is - \n\n", panel['b'], '\n')   # Create a 5 * 5 dataframe df2 = pd.DataFrame(np.random.rand(5, 2), columns =['item1', 'item2']) print("Newly create dataframe with random values is - \n\n", df2)   print("\nInteger Dividing panel['b'] with df2 using floordiv() method - \n") print(panel['b'].floordiv(df2, axis = 0)) |
Output:
panel['b'] is -
item1 item2
0 11.000 11.000
1 1.025 1.025
2 333.000 333.000
3 114.480 114.480
4 1333.000 1333.000
Newly create dataframe with random values is -
item1 item2
0 0.346012 0.135318
1 0.850487 0.589151
2 0.074627 0.742770
3 0.296359 0.417620
4 0.216676 0.682704
Integer Dividing panel['b'] with df2 using floordiv() method -
item1 item2
0 31 81
1 1 1
2 4462 448
3 386 274
4 6152 1952
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Code #3:
# importing pandas module import pandas as pd import numpy as np   df1 = pd.DataFrame({'a': ['Geeks', 'For', 'neveropen', 'for', 'real'],                     'b': [11, 1.025, 333, 114.48, 1333]})                       df2 = pd.DataFrame({'a': ['I', 'am', 'DataFrame', 'number', 'two'],                     'b': [10, 10, 10, 110, 110]})                                           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 floordiv() method - \n") print("\n", panel['b']['item1'].floordiv(df2['b'], axis = 0)) |
Output:
panel['b'] is -
item1 item2
0 11.000 10
1 1.025 10
2 333.000 10
3 114.480 110
4 1333.000 110
Integer Dividing panel['b']['item1'] with df2['b'] or panel['b']['item2'] using floordiv() method -
0 1
1 0
2 33
3 1
4 12
dtype: float64
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