要返回没有 NaN 值的 Index,请使用Pandas 中的方法。首先,导入所需的库 -index.dropna()
import pandas as pd import numpy as np
使用一些 NaN 值创建 Pandas 索引 -
index = pd.Index([50, 10, 70, np.nan, 90, 50, np.nan, np.nan, 30])
显示熊猫指数 -
print("Pandas Index...\n",index)
仅删除 NaN 值 -
print("\nThe Index object after removing NaN values...\n",index.dropna())
以下是代码 -
import pandas as pd import numpy as np # 还使用一些 NaN 值创建 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) # 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) # 仅删除 NaN 值 print("\nThe Index object after removing NaN values...\n",index.dropna())输出结果
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')