Python | Pandas panel.floor div()
原文:https://www.geeksforgeeks.org/python-pandas-panel-floordiv/
在熊猫中,面板是一个非常重要的三维数据容器。三个轴的名称旨在为描述涉及面板数据的操作,特别是面板数据的计量经济学分析提供一些语义含义。
熊猫中**Panel.floordiv()**
函数用于获取数列和数据框/面板的整数除法。
语法: Panel.floordiv(其他,轴=0)
参数: 其他:数据框或面板 轴:轴广播结束
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))
Output:
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))
Output:
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))
Output:
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