LabelCountEncode.py

import pandas as pd

managerDF = pd.DataFrame({'id':[101, 102, 103, 104, 105, 106, 107, 108], 
                          'managerId':['D025', 'A010', 'C020', 'A010', 'D025', 'D025','A010', 'D025']})

# Group by category (managerId), compute sum of values in the category, sort by sum, and rank each value
idRank = managerDF.groupby('managerId').size().sort_values().rank().map(int)

# Map the ranks of items in the category to its respective item
managerDF['managerIdRank'] = managerDF['managerId'].map(idRank)

# Cleanup unwanted features
managerDF.drop(['managerId'], axis=1, inplace=True)
print(managerDF)