Python - 显示 Pandas 索引中的哪些条目是 NA
要显示Pandas索引中的哪些条目是NA，请使用inPandas。首先，导入所需的库——index.isna()
import pandas as pd import numpy as np
使用一些NaN值创建Pandas索引-
index = pd.Index([5, 65, np.nan, 17, 75, np.nan])
显示熊猫指数-
print("Pandas Index...\n",index)显示Pandas索引中的哪些条目是NA。对于NA条目返回True-
print("\nCheck which entries are NA...\n", index.isna())示例
以下是代码-
import pandas as pd
import numpy as np
#使用一些NaN值创建Pandas索引
index = pd.Index([5, 65, np.nan, 17, 75, np.nan])
#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)
#显示Pandas索引中的哪些条目是NA
#对于NA条目返回True
print("\nCheck which entries are NA...\n", index.isna())输出结果这将产生以下输出-
Pandas Index... Float64Index([5.0, 65.0, nan, 17.0, 75.0, nan], dtype='float64') Number of elements in the index... 6 The dtype object... float64 Check which entries are NA... [False False True False False True]