Lab 09: NumPy and pandas

Note

In lab.qmd ## Lab 9 section, create a Python pandas.DataFrame equivalent to the R tibble

tibble(x = 1:5, y = 5:1, z = LETTERS[1:5])

# A tibble: 5 × 3
      x     y z    
  <int> <int> <chr>
1     1     5 A    
2     2     4 B    
3     3     3 C    
4     4     2 D    
5     5     1 E    

import numpy as np
import pandas as pd
import string
list(string.ascii_uppercase)
dic = {'__': ____________, 
       '__': reversed(____________),
       '__': list(string.ascii_uppercase)[______]}
pd._____________(dic)