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.rtruediv(), la función se usa para obtener la división flotante de series y dataframe/Panel.
Sintaxis: Panel.rtruediv(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("\nFloating Dividing panel['b'] with df2['b'] using rtruediv() method - \n")
print("\n", panel['b'].rtruediv(df2['b'], axis = 0))
Producción:
panel['b'] is -
item1 item2
0 111 100
1 123 100
2 425 100
3 1333 100
Floating Dividing panel['b'] with df2['b'] using rtruediv() 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("\nFloating Dividing panel['b'] with df2 using rtruediv() method - \n")
print(panel['b'].rtruediv(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 0.809990 0.358019
1 0.765535 0.101660
2 0.788052 0.742361
3 0.964031 0.618767
4 0.862207 0.131611
Floating Dividing panel['b'] with df2 using rtruediv() method -
item1 item2
0 0.073635 0.032547
1 0.746864 0.099180
2 0.002367 0.002229
3 0.008421 0.005405
4 0.000647 0.000099
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("\nFloating Dividing panel['b']['item1'] with df2['b'] or panel['b']['item2'] using rtruediv() method - \n")
print("\n", panel['b']['item1'].rtruediv(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
Floating Dividing panel['b']['item1'] with df2['b'] or panel['b']['item2'] using rtruediv() method -
0 0.909091
1 9.756098
2 0.030030
3 0.960867
4 0.082521
dtype: float64