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
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