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Pandas Example – Write a Pandas program to split a given dataframe into groups with bin counts

By on Tuesday, April 13, 2021

(Python Example for Beginners)

 

Write a Pandas program to split a given dataframe into groups with bin counts.

Test Data:

    ord_no  purch_amt  customer_id  sales_id
0    70001     150.50         3005      5002
1    70009     270.65         3001      5003
2    70002      65.26         3002      5004
3    70004     110.50         3009      5003
4    70007     948.50         3005      5002
5    70005    2400.60         3007      5001
6    70008    5760.00         3002      5005
7    70010    1983.43         3004      5007
8    70003    2480.40         3009      5008
9    70012     250.45         3008      5004
10   70011      75.29         3003      5005
11   70013    3045.60         3002      5001

 

Sample Solution:

Python Code :


import pandas as pd

pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)

df = pd.DataFrame({
'ord_no':[70001,70009,70002,70004,70007,70005,70008,70010,70003,70012,70011,70013],
'purch_amt':[150.5,270.65,65.26,110.5,948.5,2400.6,5760,1983.43,2480.4,250.45, 75.29,3045.6],
'customer_id':[3005,3001,3002,3009,3005,3007,3002,3004,3009,3008,3003,3002],
'sales_id':[5002,5003,5004,5003,5002,5001,5005,5007,5008,5004,5005,5001]})

print("Original DataFrame:")
print(df)

groups = df.groupby(['customer_id', pd.cut(df.sales_id, 3)])

result = groups.size().unstack()
print(result)

Sample Output:

Original DataFrame:
    ord_no  purch_amt  customer_id  sales_id
0    70001     150.50         3005      5002
1    70009     270.65         3001      5003
2    70002      65.26         3002      5004
3    70004     110.50         3009      5003
4    70007     948.50         3005      5002
5    70005    2400.60         3007      5001
6    70008    5760.00         3002      5005
7    70010    1983.43         3004      5007
8    70003    2480.40         3009      5008
9    70012     250.45         3008      5004
10   70011      75.29         3003      5005
11   70013    3045.60         3002      5001
sales_id     (5000.993, 5003.333]  (5003.333, 5005.667]  (5005.667, 5008.0]
customer_id                                                                
3001                          1.0                   NaN                 NaN
3002                          1.0                   2.0                 NaN
3003                          NaN                   1.0                 NaN
3004                          NaN                   NaN                 1.0
3005                          2.0                   NaN                 NaN
3007                          1.0                   NaN                 NaN
3008                          NaN                   1.0                 NaN
3009                          1.0                   NaN

 

Pandas Example – Write a Pandas program to split a given dataframe into groups with bin counts

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  • Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
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Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.
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