/Python/Add a new categorical column to an existing table python

Add a new categorical column to an existing table python

d = df.groupby('Item_Identifier')['Sales'].mean().to_dict()
print (d)
{'Beef': 3030.0, 'Milk': 1233.3333333333333, 'Tea': 150.0}

print (df['Item_Identifier'].map(d))
0    1233.333333
1    1233.333333
2    1233.333333
3    3030.000000
4    3030.000000
5     150.000000
6     150.000000
7     150.000000
Name: Item_Identifier, dtype: float64

bins = [df['Sales'].min(),500, 1500, df['Sales].max()]
labels=['low','medium','high']
df['Price Category'] = pd.cut(df['Item_Identifier'].map(d), bins=bins, labels=labels)
print (df)
  Item_Identifier  Sales Price Category
0            Milk    500         medium
1            Milk   1200         medium
2            Milk   2000         medium
3            Beef     60           high
4            Beef   6000           high
5             Tea    150            low
6             Tea    100            low
7             Tea    200            low

Source: stackoverflow.com

Similar codes

3 votes105 views2 answers
Scapy python import
Python
0 vote110 views2 answers
How to delete a row based on a criteria in python datafram
Python
0 vote97 views1 answer
Choose value none in pandas
Python
0 vote131 views1 answer
Django charfield force lowercase
Python
23 votes127 views2 answers
Converting month number to month name python
Python
-2 votes122 views6 answers
List comprehension in python
Python
0 vote104 views1 answer
Can only concatenate str (not "ImageFieldFile") to str
Python
0 vote119 views1 answer
Python code to remove file extension
Python
3 votes110 views1 answer
Spark df shape
Python
6 votes120 views2 answers
Vscode python multiline comment
Python