I want to sort a pandas dataframe by count of a value in a column. For values with the same count, I want them clustered, and sorted alphabetically.
I tried different settings with the sort call. I also tried first sorting the dataframe alphabetically, and next by count.
Here's the relevant section of the code I currently use:
import pandas as pd
df = pd.read_csv("filename.csv")
df['Counts'] = df.groupby(['Words']).transform('count')
df.sort_values('Counts', inplace=True, ascending=False)
print(df)
What I get is something like:
    
    
        Words   Counts
    1   Alpha    2
    2   Beta     2
    3   Charlie  2
    4   Alpha    2
    5   Beta     2
    6   Charlie  2
    7   Delta    1
    
    
What I want is:
    
    
        Words   Counts
    1   Alpha    2
    2   Alpha    2
    3   Beta     2
    4   Beta     2
    5   Charlie  2
    6   Charlie  2
    7   Delta    1
    
    
Thank you for your help!
 
    