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法律研究Python Pandas - 检查索引中是否存在缺失值
要检查索引中是否存在缺失值，请在 Pandas 中使用 index.hasnans 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'])
显示索引 −
print("Pandas Index...\n",index)检查索引中是否有缺失值 −
print("\nIs the Pandas index having NaNs?\n",index.hasnans)
实例
以下是代码 −
import pandas as pd
import numpy as np
# Creating the index
# For NaN, we have used numpy library
index = pd.Index(['Car','Bike', np.nan,'Car',np.nan, 'Ship'])
# Display the index
print("Pandas Index...\n",index)
# Return an array representing the data in the Index
print("\nArray...\n",index.values)
# Check if the index is having NaNs
print("\nIs the Pandas index having NaNs?\n",index.hasnans)
# Return a tuple of the shape of the underlying data
print("\nA tuple of the shape of underlying data...\n",index.shape)输出
会生成以下代码 −
Pandas Index... Index(['Car', 'Bike', nan, 'Car', nan, 'Ship'], dtype='object') Array... ['Car' 'Bike' nan 'Car' nan 'Ship'] Is the Pandas index having NaNs? True A tuple of the shape of underlying data... (6,)
更新于： 13-Oct-2021
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