如何使用XlsxWriter自动定义excel工作表名？

Question

有没有办法根据pandas数据框中单元格的值动态命名excel工作表？在

以下是我所拥有的：

#dataframe cell i want to work as sheet name is here
df_storename = df_store.loc[1, 'Store']

writer = pd.ExcelWriter('payroll.xlsx', engine='xlsxwriter')
# Convert the dataframe to an XlsxWriter Excel object.
df_store.to_excel(writer, sheet_name=df_storename)

workbook = writer.book
worksheet1 = writer.sheets[df_storename]
worksheet2 = workbook.add_worksheet('One-on-One')

chart = workbook.add_chart({'type': 'column'})
chart1 = workbook.add_chart({'type': 'column'})

chart.add_series({'values': '=df_storename!$F$0:$F$9', 'name': 
'Service Sales', 'categories':
    '=df_storename!$C$2:$C$11'})
chart1.add_series({'values': '=df_storename!$P$0:$P$9', 
'name': 'Paid Back Bar %', 'categories':
    '=df_storename!$C$2:$C$11'})

Answer 1

最好的方法是使用^{}中的列表语法，而不是A1:C8范围语法。例如：

import pandas as pd

# Create a Pandas dataframe from some data.
df_store = pd.DataFrame({'Data': [10, 20, 30, 20, 15, 30, 45]})
df_storename = 'My Storename'

writer = pd.ExcelWriter('payroll.xlsx', engine='xlsxwriter')

# Convert the dataframe to an XlsxWriter Excel object.
df_store.to_excel(writer, sheet_name=df_storename)

workbook = writer.book
worksheet1 = writer.sheets[df_storename]
worksheet2 = workbook.add_worksheet('One-on-One')

chart = workbook.add_chart({'type': 'column'})


chart.add_series({'name': 'Service Sales',
                  'categories': [df_storename, 1, 0, 7, 0],
                  'values':     [df_storename, 1, 1, 7, 1]})

worksheet2.insert_chart('D2', chart)

writer.save()

输出：

通过这种方式，可以使用数据框的大小设置要打印的单元格范围。有关更真实的示例，请参见XlsxWriter Pandas chart examples。在