![](/img/trans.png)
[英]How to drop a row in pandas dataframe if there is only word in a pandas column
[英]How to drop a row in Pandas only if it exists in the DataFrame
我有一个 DataFrame 有时有一行叫做 (UnSpecified) 有时没有。 当我尝试按名称删除行并且它不存在时,我收到“(UnSpecified) not found in axis”错误。
### sales 2018 ###
sales_2018 = pd.read_csv('sales 2018.csv')
# gross sales
gross_sales_2018_pivot = pd.DataFrame(pd.pivot_table(sales_2018, values=['GROSS SALES'], index=['DAYPARTNAME'], columns=['DAY OF WEEK'], aggfunc=np.sum))
gross_sales_2018_pivot = gross_sales_2018_pivot.drop('(UnSpecified)', axis=0)
gross_sales_2018_pivot.to_excel(writer, sheet_name='overall')
writer.save()
如果没有 (UnSpecified) 行,如何创建循环以使其忽略/传递错误?
从文档:
gross_sales_2018_pivot = gross_sales_2018_pivot.drop('(UnSpecified)', axis=0, errors='ignore')
总销售额_2018_pivot =总销售额_2018_pivot.loc[未指定条件,:]
例子:
gross_sales_2018_pivot = gross_sales_2018_pivot.loc[gross_sales_2018_pivot['important_col'] != 'trash', :]
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.