Python Pandas - 使用转换为 dtypes 的值创建索引
要使用转换为dtypes的值创建索引，请使用Pandas中的方法。首先，导入所需的库-index.astype()
import pandas as pd
创建熊猫索引-
index = pd.Index([50.4, 10.2, 70.5, 110.5, 90.8, 50.6])
显示熊猫指数-
print("Pandas Index...\n",index)将数据类型转换为int64-
index.astype('int64')示例
以下是代码-
import pandas as pd
#创建Pandas索引
index = pd.Index([50.4, 10.2, 70.5, 110.5, 90.8, 50.6])
#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)
#将数据类型转换为int64
print("\nIndex object after converting type...\n",index.astype('int64'))输出结果这将产生以下输出-
Pandas Index... Float64Index([50.4, 10.2, 70.5, 110.5, 90.8, 50.6], dtype='float64') Number of elements in the index... 6 The dtype object... float64 Index object after converting type... Int64Index([50, 10, 70, 110, 90, 50], dtype='int64')