Python Pandas - 返回从值推断出的类型的字符串

要返回从值推断出的类型的字符串，请使用Pandas中的index.inferred_type属性。

首先，导入所需的库-

import pandas as pd import numpy as np

创建索引。对于NaN，我们使用了numpy库-

index = pd.Index([Car,Bike, np.nan,Car,np.nan, Ship, None, None])

显示索引-

print("Pandas Index...\n",index)

返回从值推断出的类型的字符串-

print("\nThe inferred type...\n",index.inferred_type)

示例

以下是代码-

import pandas as pd import numpy as np #创建索引 #对于NaN，我们使用了numpy库 index = pd.Index([Car,Bike, np.nan,Car,np.nan, Ship, None, None]) #显示索引 print("Pandas Index...\n",index) #返回一个表示索引中数据的数组 print("\nArray...\n",index.values) #检查索引是否有NaN print("\nIs the Pandas index having NaNs?\n",index.hasnans) #返回数据的dtype print("\nThe dtype object...\n",index.dtype) #返回从值推断出的类型的字符串 print("\nThe inferred type...\n",index.inferred_type)输出结果

这将产生以下代码-

Pandas Index... Index([Car, Bike, nan, Car, nan, Ship, None, None], dtype=object) Array... [Car Bike nan Car nan Ship None None] Is the Pandas index having NaNs? True The dtype object... object The inferred type... Mixed