Python - 在 Pandas 中删除包含所有空值的列
要删除包含所有空值的列,请使用dropna()方法并将“how”参数设置为“all”-
how='all'
首先,让我们使用各自的别名导入所需的库-
import pandas as pd import numpy as np
创建一个数据框。我们已经使用Numpynp.inf设置了NaN值
dataFrame = pd.DataFrame( { "Student": ['Jack', 'Robin', 'Ted', 'Robin', 'Scarlett', 'Kat', 'Ted'],"Result": [np.NAN, np.NAN, np.NAN, np.NAN, np.NAN, np.NAN,np.NAN] } )
要删除具有所有空值的列,请使用dropna()并设置所需的参数-
dataFrame.dropna(how='all', axis=1, inplace=True)
示例
以下是代码-
import numpy as np import pandas as pd #CreateDataFrame dataFrame = pd.DataFrame( { "Student": ['Jack', 'Robin', 'Ted', 'Robin', 'Scarlett', 'Kat', 'Ted'],"Result": [np.NAN, np.NAN, np.NAN, np.NAN, np.NAN, np.NAN,np.NAN] } ) print"DataFrame ...\n",dataFrame dataFrame.dropna(how='all', axis=1, inplace=True) print"\nDataFrame ...\n",dataFrame输出结果
这将产生以下输出-
DataFrame ... Result Student 0 NaN Jack 1 NaN Robin 2 NaN Ted 3 NaN Robin 4 NaN Scarlett 5 NaN Kat 6 NaN Ted DataFrame ... Student 0 Jack 1 Robin 2 Ted 3 Robin 4 Scarlett 5 Kat 6 Ted