在 Pandas 中,Panel是一个非常重要的三维数据容器。 3个轴的名称旨在为描述涉及面板数据的操作,尤其是面板数据的计量分析提供一些语义上的含义。
在 Pandas Panel.div()
函数用于获取序列和 DataFrame /面板的划分。
用法: Panel.div(other, axis=0)
参数:
other: DataFrame 或面板
axis:广播轴
返回:面板
代码1:
# importing pandas module
import pandas as pd
import numpy as np
df1 = pd.DataFrame({'a':['Geeks', 'For', 'geeks', 'real'],
'b':[111, 123, 425, 1333]})
df2 = pd.DataFrame({'a':['I', 'am', 'dataframe', 'two'],
'b':[100, 100, 100, 100]})
data = {'item1':df1, 'item2':df2}
# creating Panel
panel = pd.Panel.from_dict(data, orient ='minor')
print("panel['b'] is - \n\n", panel['b'])
print("\nDividing panel['b'] with df2['b'] using div() method - \n")
print("\n", panel['b'].div(df2['b'], 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':[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'] is - \n\n", panel['b'], '\n')
# Create a 5 * 5 dataframe
df2 = pd.DataFrame(np.random.rand(5, 2), columns =['item1', 'item2'])
print("Newly create dataframe with random values is - \n\n", df2)
print("\nDividing panel['b'] with df2 using div() method - \n")
print(panel['b'].div(df2, axis = 0))
输出:
代码3:
# 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]})
df2 = pd.DataFrame({'a':['I', 'am', 'DataFrame', 'number', 'two'],
'b':[10, 10, 10, 110, 110]})
data = {'item1':df1, 'item2':df2}
# creating Panel
panel = pd.Panel.from_dict(data, orient ='minor')
print("panel['b'] is - \n\n", panel['b'], '\n')
print("\nDividing panel['b']['item1'] with df2['b'] or panel['b']['item2'] using div() method - \n")
print("\n", panel['b']['item1'].div(df2['b'], axis = 0))
输出:
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注:本文由纯净天空筛选整理自Shivam_k大神的英文原创作品 Python | Pandas Panel.div()。非经特殊声明,原始代码版权归原作者所有,本译文未经允许或授权,请勿转载或复制。