Python Pandas - 返回无 NaN 值的索引

要返回没有 NaN 值的索引，请在 Pandas 中使用 index.dropna() 方法。首先，导入所需的库 -

import pandas as pd
import numpy as np

创建带有一些 NaN 值的 Pandas 索引 -

index = pd.Index([50, 10, 70, np.nan, 90, 50, np.nan, np.nan, 30])

显示 Pandas 索引 -

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

仅删除 NaN 值 -

print("\nThe Index object after removing NaN values...\n",index.dropna())

示例

代码如下 -

import pandas as pd
import numpy as np

# Creating Pandas index with some NaN values as well
index = pd.Index([50, 10, 70, np.nan, 90, 50, np.nan, np.nan, 30])

# Display the Pandas index
print("Pandas Index...\n",index)

# Return the number of elements in the Index
print("\nNumber of elements in the index...\n",index.size)

# Return the dtype of the data
print("\nThe dtype object...\n",index.dtype)

# Drop only the NaN values
print("\nThe Index object after removing NaN values...\n",index.dropna())

输出

这将产生以下输出 -

Pandas Index...
Float64Index([50.0, 10.0, 70.0, nan, 90.0, 50.0, nan, nan, 30.0], dtype='float64')

Number of elements in the index...
9

The dtype object...
float64

The Index object after removing NaN values...
Float64Index([50.0, 10.0, 70.0, 90.0, 50.0, 30.0], dtype='float64')

阿米特迪万 (AmitDiwan)

更新时间：13-Oct-2021

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