Python|熊猫面板.sum()

在 Pandas 中，Panel 是一个非常重要的 3D 数据容器。 3 个轴的名称旨在为描述涉及面板数据的操作提供一些语义含义，特别是面板数据的计量经济学分析。

Panel.sum()函数用于返回请求轴的值的总和。

Syntax: Panel.sum(axis=None, skipna=None, level=None, numeric_only=None, min_count=0, **kwargs)

Parameters:
axis : {items (0), major_axis (1), minor_axis (2)}
skipna : Exclude NA/null values when computing the result.
level : If the axis is a MultiIndex, count along a particular level, collapsing into a DataFrame
numeric_only : Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data.
min_count : The required number of valid values to perform the operation.

Returns: DataFrame or Panel

代码#1：

# importing pandas module 
import pandas as pd 
import numpy as np
  
df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks', 'for', 'real'], 
                    'b': [11, 1.025, 333, 114.48, 1333]})
                      
data = {'item1':df1, 'item2':df1}
  
# creating Panel 
panel = pd.Panel.from_dict(data, orient ='minor')
  
print(panel['b'], '\n')
  
print("\n", panel['b'].sum(axis = 0))

输出：

代码#2：

# importing pandas module 
import pandas as pd 
import numpy as np
  
df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks', 'for', 'real'], 
                    'b': [33.0, -152.140, 3.0133, 114.48, 13.033]})
                      
data = {'item1':df1, 'item2':df1}
  
# creating Panel 
panel = pd.Panel.from_dict(data, orient ='minor')
  
print(panel['b'], '\n')
  
print("\n", panel['b'].sum(axis = 1))

输出：

代码#3：

# importing pandas module 
import pandas as pd 
import numpy as np
  
df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks'], 
                    'b': np.random.randn(3)})
                      
data = {'item1':df1, 'item2':df1}
  
# creating Panel 
panel = pd.Panel.from_dict(data, orient ='minor')
  
print(panel['b'], '\n')
  
  
print("\n", panel['b'].sum(axis = 1))

输出：