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.rsub() function is used to get the subtraction of series and dataframe/Panel.
Syntax: Panel.rsub(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("\nSubtracting panel['b'] with df2['b'] using rsub() method - \n") print("\n", panel['b'].rsub(df2['b'], axis = 0)) |
Output:
panel['b'] is -
item1 item2
0 111 100
1 123 100
2 425 100
3 1333 100
Subtracting panel['b'] with df2['b'] using rsub() method -
item1 item2
0 -11 0
1 -23 0
2 -325 0
3 -1233 0
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("\nSubtracting panel['b'] with df2 using rsub() method - \n") print(panel['b'].rsub(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 0.159943 0.383040
1 0.769608 0.776670
2 0.038762 0.889516
3 0.672955 0.094725
4 0.127130 0.729699
Subtracting panel['b'] with df2 using rsub() method -
item1 item2
0 -10.840057 -10.616960
1 -0.255392 -0.248330
2 -332.961238 -332.110484
3 -113.807045 -114.385275
4 -1332.872870 -1332.270301
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("\nSubtracting panel['b']['item1'] with df2['b'] or panel['b']['item2'] using rsub() method - \n") print("\n", panel['b']['item1'].rsub(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
Subtracting panel['b']['item1'] with df2['b'] or panel['b']['item2'] using rsub() method -
0 -1.000
1 8.975
2 -323.000
3 -4.480
4 -1223.000
dtype: float64
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