如何使用 xlswritter 在单个 sheet 中对多个数据帧使用自动过滤器
How to use auto filter for multiple data frame in a single sheet using xlswritter
我正在使用 xlswriter 将数据帧写入 excel sheet。我在同一个 sheet 上有两个数据框,我想为这两个数据框应用自动过滤器。
如果我应用以下规则,它仅适用于 F1:Q1。有什么办法可以将自动过滤器添加到数据框
worksheet.autofilter('A1:D1')
worksheet.autofilter('F1:Q1')
我尝试了以下但删除了所有条件格式和数据框列
worksheet1.add_table('A1:D4')
worksheet1.add_table('F1:Q15')
在 Excel 中不能有超过一个工作表自动筛选器。
但是,您可以将数据框添加为表格,每个表格都有一个自动过滤器。这是一个数据框的示例:
import pandas as pd
# Create a Pandas dataframe from some data.
df = pd.DataFrame({
'Country': ['China', 'India', 'United States', 'Indonesia'],
'Population': [1404338840, 1366938189, 330267887, 269603400],
'Rank': [1, 2, 3, 4]})
# Order the columns if necessary.
df = df[['Rank', 'Country', 'Population']]
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_table.xlsx', engine='xlsxwriter')
# Write the dataframe data to XlsxWriter. Turn off the default header and
# index and skip one row to allow us to insert a user defined header.
df.to_excel(writer, sheet_name='Sheet1', startrow=1, header=False, index=False)
# Get the xlsxwriter workbook and worksheet objects.
workbook = writer.book
worksheet = writer.sheets['Sheet1']
# Get the dimensions of the dataframe.
(max_row, max_col) = df.shape
# Create a list of column headers, to use in add_table().
column_settings = []
for header in df.columns:
column_settings.append({'header': header})
# Add the Excel table strucure. Pandas will add the data.
worksheet.add_table(0, 0, max_row, max_col - 1, {'columns': column_settings})
# Make the columns wider for clarity.
worksheet.set_column(0, max_col - 1, 12)
# Close the Pandas Excel writer and output the Excel file.
writer.save()
输出:
另请参阅 XlsxWriter 文档中的 Working with Tables。
我正在使用 xlswriter 将数据帧写入 excel sheet。我在同一个 sheet 上有两个数据框,我想为这两个数据框应用自动过滤器。
如果我应用以下规则,它仅适用于 F1:Q1。有什么办法可以将自动过滤器添加到数据框
worksheet.autofilter('A1:D1')
worksheet.autofilter('F1:Q1')
我尝试了以下但删除了所有条件格式和数据框列
worksheet1.add_table('A1:D4')
worksheet1.add_table('F1:Q15')
在 Excel 中不能有超过一个工作表自动筛选器。
但是,您可以将数据框添加为表格,每个表格都有一个自动过滤器。这是一个数据框的示例:
import pandas as pd
# Create a Pandas dataframe from some data.
df = pd.DataFrame({
'Country': ['China', 'India', 'United States', 'Indonesia'],
'Population': [1404338840, 1366938189, 330267887, 269603400],
'Rank': [1, 2, 3, 4]})
# Order the columns if necessary.
df = df[['Rank', 'Country', 'Population']]
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_table.xlsx', engine='xlsxwriter')
# Write the dataframe data to XlsxWriter. Turn off the default header and
# index and skip one row to allow us to insert a user defined header.
df.to_excel(writer, sheet_name='Sheet1', startrow=1, header=False, index=False)
# Get the xlsxwriter workbook and worksheet objects.
workbook = writer.book
worksheet = writer.sheets['Sheet1']
# Get the dimensions of the dataframe.
(max_row, max_col) = df.shape
# Create a list of column headers, to use in add_table().
column_settings = []
for header in df.columns:
column_settings.append({'header': header})
# Add the Excel table strucure. Pandas will add the data.
worksheet.add_table(0, 0, max_row, max_col - 1, {'columns': column_settings})
# Make the columns wider for clarity.
worksheet.set_column(0, max_col - 1, 12)
# Close the Pandas Excel writer and output the Excel file.
writer.save()
输出:
另请参阅 XlsxWriter 文档中的 Working with Tables。