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.floordiv()
函数用于获取序列和数据帧/面板的整数除法。
用法: Panel.floordiv(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("\nInteger Dividing panel['b'] with df2['b'] using floordiv() method - \n")
print("\n", panel['b'].floordiv(df2['b'], axis = 0))
输出:
panel['b'] is - item1 item2 0 111 100 1 123 100 2 425 100 3 1333 100 Integer Dividing panel['b'] with df2['b'] using floordiv() method - item1 item2 0 1 1 1 1 1 2 4 1 3 13 1
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("\nInteger Dividing panel['b'] with df2 using floordiv() method - \n")
print(panel['b'].floordiv(df2, axis = 0))
输出:
panel['b'] is - item1 item2 0 11.000 11.000 1 1.025 1.025 2 333.000 333.000 3 114.480 114.480 4 1333.000 1333.000 Newly create dataframe with random values is - item1 item2 0 0.346012 0.135318 1 0.850487 0.589151 2 0.074627 0.742770 3 0.296359 0.417620 4 0.216676 0.682704 Integer Dividing panel['b'] with df2 using floordiv() method - item1 item2 0 31 81 1 1 1 2 4462 448 3 386 274 4 6152 1952
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("\nInteger Dividing panel['b']['item1'] with df2['b'] or panel['b']['item2'] using floordiv() method - \n")
print("\n", panel['b']['item1'].floordiv(df2['b'], axis = 0))
输出:
panel['b'] is - item1 item2 0 11.000 10 1 1.025 10 2 333.000 10 3 114.480 110 4 1333.000 110 Integer Dividing panel['b']['item1'] with df2['b'] or panel['b']['item2'] using floordiv() method - 0 1 1 0 2 33 3 1 4 12 dtype:float64
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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.floordiv()。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。