英文:
Want to drop all rows containing some text
问题
我想要删除包含TOTAL的所有行：
data = pandas.read_excel(r'C:\Users\lenovo\Desktop\tax reports\sales_expense_regionwiseGST.xlsx')
data2 = data2[data2.iloc[:,0].str.contains("Total").index]
以下代码用于导入数据，然后选择第一列使用iloc或使用data['State/Union Territory']：
使用iloc会选择第1列"类型"，而使用data['column_NAME_HERE']会导致错误。
我想要提取这些行并删除它们。
英文:
I want to remove all rows containing TOTAL:
data=pandas.read_excel(r'C:\Users\lenovo\Desktop\tax reports\sales_expense_regionwiseGST.xlsx')
data2[data2.iloc[:,0].str.contains("Total".index)]
The following code to import and then selecting first column with iloc or using data['State/Union Territory')
iloc results in selecting the 1st column "type" as well, while data['column_NAME_HERE'] ends up in error.
I want to fetch the rows and delete it.
答案1
得分: 0
pandas具有向量化的字符串操作，因此您可以只筛选出包含您不想要的字符串的行：
data[~data.<column_name>.str.contains("<your_text_here>")]
另一种方法（如果您有多个字符串要筛选）：
data = data[~data['your column'].isin(['list of strings'])]
英文:
pandas has vectorized string operations, so you can just filter out the rows that contain the string you don't want:
data[~data.<column_name>.str.contains("<your_text_here>")]
Another approach (if you have more than one string to filter):
data = data[~data['your column'].isin(['list of strings'])]
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