Python - 创建 Pandas 索引的新视图
要创建 Pandas 索引的新视图,请使用方法。首先,导入所需的库 -index.view()
import pandas as pd
创建熊猫索引 -
index = pd.Index([50, 10, 70, 110, 90, 50, 110, 90, 30])
显示熊猫指数 -
print("Pandas Index...\n",index)
创建一个新视图 -
res = index.view('uint8')
显示新视图 -
print("\nThe new view...\n",res)
它具有相同的基本价值 -
print("\nView for 0th index...\n",res[0])print("\nView for 1st index...\n",res[1])
示例
以下是代码 -
import pandas as pd输出结果# 创建 Pandas 索引
index = pd.Index([50, 10, 70, 110, 90, 50, 110, 90, 30])
# 显示 Pandas 索引
print("Pandas Index...\n",index)
# 返回索引中的元素数
print("\nNumber of elements in the index...\n",index.size)
# 返回数据的 dtype
print("\nThe dtype object...\n",index.dtype)
# 创建新视图
res = index.view('uint8')
# 显示新视图
print("\nThe new view...\n",res)
# 共享相同的基本价值
print("\nView for 0th index...\n",res[0])
print("\nView for 1st index...\n",res[1])
这将产生以下输出 -
Pandas Index...Int64Index([50, 10, 70, 110, 90, 50, 110, 90, 30], dtype='int64')
Number of elements in the index...
9
The dtype object...
int64
The new view...
[ 50 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 70 0
0 0 0 0 0 0 110 0 0 0 0 0 0 0 90 0 0 0
0 0 0 0 50 0 0 0 0 0 0 0 110 0 0 0 0 0
0 0 90 0 0 0 0 0 0 0 30 0 0 0 0 0 0 0]
View for 0th index...
50
View for 1st index...
0
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