假设我有以下数据框“A”
utilization utilization_billable
service
1 10.0 5.0
2 30.0 20.0
3 40.0 30.0
4 40.0 32.0
我需要将其转换为以下数据框 "B"
utilization type
service
1 10.0 total
2 30.0 total
3 40.0 total
4 40.0 total
1 5.0 billable
2 20.0 billable
3 30.0 billable
4 32.0 billable
因此第一个值被分类到类型列,其值为总计或计费。
data = {
'utilization': [10.0, 30.0, 40.0, 40.0],
'utilization_billable': [5.0, 20.0, 30.0, 32.0],
'service': [1, 2, 3, 4]
}
df = pd.DataFrame.from_dict(data).set_index('service')
print(df)
data = {
'utilization': [10.0, 30.0, 40.0, 40.0, 5.0, 20.0, 30.0, 32.0],
'service': [1, 2, 3, 4, 1, 2, 3, 4],
'type': [
'total',
'total',
'total',
'total',
'billable',
'billable',
'billable',
'billable',
]
}
df = pd.DataFrame.from_dict(data).set_index('service')
print(df)
有没有办法转换数据框并执行此类分类?
bạn có thể sử dụng pd.melt
:
import pandas as pd
data = {
'utilization': [10.0, 30.0, 40.0, 40.0],
'utilization_billable': [5.0, 20.0, 30.0, 32.0],
'service': [1, 2, 3, 4]}
df = pd.DataFrame(data)
result = pd.melt(df, var_name='type', value_name='utilization', id_vars='service')
print(result)
产量
service type utilization
0 1 utilization 10.0
1 2 utilization 30.0
2 3 utilization 40.0
3 4 utilization 40.0
4 1 utilization_billable 5.0
5 2 utilization_billable 20.0
6 3 utilization_billable 30.0
7 4 utilization_billable 32.0
Sau đó result.set_index('service')
将使 service
成为索引,但我建议避免这种情况,因为 service
值不是唯一的。
Tôi là một lập trình viên xuất sắc, rất giỏi!