I am trying to export a list of pandas dataframes to excel
我正在尝试导出一个熊猫数据名列表以使其优于
list_of_df_to_dump = [df1,df2,...,df100]
list_of_tab_names = ['df1','df2',...,'df100']
writer = ExcelWriter(excel_name + '.xlsx')
for i,j in list_of_df_to_dump,list_of_tab_names:
i.to_excel(writer,j,index = False)
writer.save()
I get the following error:
我得到以下错误:
TypeError: 'DataFrame' objects are mutable, thus they cannot be hashed
Any ideas as to how this could be fixed or alternative methods to accomplish the same thing? I do not know how long the list will be so doing it manually
有什么方法可以解决这个问题吗?我不知道这个列表会有多长,所以手动操作
1 个解决方案
#1
1
You have to use zip
to iterate through pairs of items from two lists like that. Try the following fix:
您必须使用zip对两个列表中的项目进行迭代。尝试以下解决办法:
list_of_df_to_dump = [df1,df2,...,df100]
list_of_tab_names = ['df1','df2',...,'df100']
writer = ExcelWriter(excel_name + '.xlsx')
for df, tab_name in zip(list_of_df_to_dump, list_of_tab_names):
df.to_excel(writer, tab_name, index=False)
writer.save()
#1
1
You have to use zip
to iterate through pairs of items from two lists like that. Try the following fix:
您必须使用zip对两个列表中的项目进行迭代。尝试以下解决办法:
list_of_df_to_dump = [df1,df2,...,df100]
list_of_tab_names = ['df1','df2',...,'df100']
writer = ExcelWriter(excel_name + '.xlsx')
for df, tab_name in zip(list_of_df_to_dump, list_of_tab_names):
df.to_excel(writer, tab_name, index=False)
writer.save()