python - Pandas pivot_table 给出错误ValueError:名称None 出现多次,使用级别号
问题描述
我有一个熊猫数据框
print(df.head())
Row ID Order ID Order Date ... Quantity Discount Profit
0 1 CA-2013-152156 09/11/2013 ... 2 0.00 41.9136
1 2 CA-2013-152156 09/11/2013 ... 3 0.00 219.5820
2 3 CA-2013-138688 13/06/2013 ... 2 0.00 6.8714
3 4 US-2012-108966 11/10/2012 ... 5 0.45 -383.0310
4 5 US-2012-108966 11/10/2012 ... 2 0.20 2.5164
当我执行这个命令时:
ans = pd.pivot_table(data=df, index=['Segment'], columns=['Region'], values = ['Sales'], aggfunc={'Sales':['sum', 'mean']}, margins=True, dropna=False)
它给出了这个错误:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python3.6/dist-packages/pandas/core/reshape/pivot.py", line 162, in pivot_table
fill_value=fill_value,
File "/usr/local/lib/python3.6/dist-packages/pandas/core/reshape/pivot.py", line 208, in _add_margins
if margins_name in table.columns.get_level_values(level):
File "/usr/local/lib/python3.6/dist-packages/pandas/core/indexes/multi.py", line 1598, in
get_level_values
level = self._get_level_number(level)
File "/usr/local/lib/python3.6/dist-packages/pandas/core/indexes/multi.py", line 1292, in
_get_level_number
"The name %s occurs multiple times, use a " "level number" % level
ValueError: The name None occurs multiple times, use a level number
解决方案
也许帮助省略列表:
ans = pd.pivot_table(data=df,
index=['Segment'],
columns=['Region'],
values= ['Sales'],
aggfunc={'Sales':['sum', 'mean']}, margins=True, dropna=False)
至:
ans = pd.pivot_table(data=df,
index= 'Segment',
columns= 'Region',
values= 'Sales',
aggfunc={'Sales':['sum', 'mean']}, margins=True, dropna=False)
推荐阅读
- ios - 如何在 swiftui 中显示来自自定义类的警报?
- amazon-web-services - 什么是 Amazon Web 服务上下文中的配额
- swift - 如何在 SwiftUI 中将属性定义为 Color 或 LinearGradient?
- database - 哪种 ETL 最适合 Hbase
- excel - VBA Excel - 使用变量而不是实际表单/对象名称调用表单和表单对象
- python - TypeError: Expected int64, got 1e-07 of type 'float' 相反:FasterRCNN TensorFlow 2.x
- java - 如何在jsp中使用数据表?从数据库中以表格形式检索数据后
- typescript - 如何创建在另一种类型之前使其未知的类型?
- amazon-web-services - AWS Cloud9 通配符环境成员资格
- package - 如何解决 conda 包安装版本冲突