Assume, you have Panel and the average of the first row is,
Average of first row is: Column1 0.274124 dtype: float64
Solution
To solve this, we will follow the steps given below −
Set data value as dictionary key is ‘Column1’ with value as pd.DataFrame(np.random.randn(5, 3))
data = {'Column1' : pd.DataFrame(np.random.randn(5, 3))}Assign data to Panel and save it as p
p = pd.Panel(data)
Print the column using dict key Column1
print(p['Column1'])
Calculate theAverage of first row using, major_xs(0) ,
p.major_xs(0).mean()
Example
Let’s see the following code to get a better understanding −
import pandas as pd
import numpy as np
data = {'Column1' : pd.DataFrame(np.random.randn(5, 3))}
p = pd.Panel(data)
print("Panel values:")
print(p['Column1'])
print("Average of first row is:")
print(p.major_xs(0).mean())Output
Panel values: 0 1 2 0 0.629910 0.275741 -0.083281 1 -0.509143 -1.794204 0.300390 2 -1.944141 0.085508 -0.155167 3 1.551087 -0.671242 -0.838922 4 -0.643543 0.622777 1.112745 Average of first row is: Column1 0.274124 dtype: float64