如何读取管道分隔的事务文件并生成销售报告

Question

我有一个以管道分隔的事务文件。我想从这些数据中找出以下几点。在

1. 每个客户的总收入报告
2. 每个客户的一份报告，显示他们在每个类别上的支出。在

---

Pedro|groceries|apple|1.42
Nitin|tobacco|cigarettes|15.00
Susie|groceries|cereal|5.50
Susie|groceries|milk|4.75
Susie|tobacco|cigarettes|15.00
Susie|fuel|gasoline|44.90
Pedro|fuel|propane|9.60

Answer 1

这可以通过^{}实现：

import pandas as pd
from io import StringIO

mystr = """Pedro|groceries|apple|1.42
Nitin|tobacco|cigarettes|15.00
Susie|groceries|cereal|5.50
Susie|groceries|milk|4.75
Susie|tobacco|cigarettes|15.00
Susie|fuel|gasoline|44.90
Pedro|fuel|propane|9.60"""

df = pd.read_csv(StringIO(mystr), header=None, sep='|',
                 names=['Name', 'Category', 'Product', 'Sales'])

# Report 1
rep1 = df.groupby('Name')['Sales'].sum()

# Name
# Nitin    15.00
# Pedro    11.02
# Susie    70.15
# Name: Sales, dtype: float64

# Report 2
rep2 = df.groupby(['Name', 'Category'])['Sales'].sum()

# Name   Category 
# Nitin  tobacco      15.00
# Pedro  fuel          9.60
#        groceries     1.42
# Susie  fuel         44.90
#        groceries    10.25
#        tobacco      15.00
# Name: Sales, dtype: float64