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