Python Pandas - 没有 NaN 值的返回索引
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())示例
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')