En Pandas, Panel es un contenedor muy importante para datos tridimensionales. Los nombres de los 3 ejes pretenden dar algún significado semántico a la descripción de operaciones que involucran datos de panel y, en particular, el análisis econométrico de datos de panel.
En Pandas Panel.rdiv()
, la función se usa para obtener la división de series y dataframe/Panel.
Sintaxis: Panel.rdiv(otro, eje=0)
Parámetros:
otro: DataFrame o Panel
axis: Eje sobre el que transmitirDevoluciones: Panel
Código #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': [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("\nDividing panel['b'] with df2['b'] using rdiv() method - \n") print("\n", panel['b'].rdiv(df2['b'], axis = 0))
Producción:
panel['b'] is - item1 item2 0 111 100 1 123 100 2 425 100 3 1333 100 Dividing panel['b'] with df2['b'] using rdiv() method - item1 item2 0 0.900901 1 1 0.813008 1 2 0.235294 1 3 0.075019 1
Código #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]}) 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("\nDividing panel['b'] with df2 using rdiv() method - \n") print(panel['b'].rdiv(df2, axis = 0))
Producción:
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 0.364764 0.680203 1 0.804920 0.858278 2 0.519905 0.701869 3 0.429503 0.033674 4 0.151454 0.658271 Dividing panel['b'] with df2 using rdiv() method - item1 item2 0 0.033160 0.061837 1 0.785288 0.837344 2 0.001561 0.002108 3 0.003752 0.000294 4 0.000114 0.000494
Código #3:
# 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': [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("\nDividing panel['b']['item1'] with df2['b'] or panel['b']['item2'] using rdiv() method - \n") print("\n", panel['b']['item1'].rdiv(df2['b'], axis = 0))
Producción:
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 Dividing panel['b']['item1'] with df2['b'] or panel['b']['item2'] using rdiv() method - 0 0.909091 1 9.756098 2 0.030030 3 0.960867 4 0.082521 dtype: float64