如何使用特定的列类型格式将Python Pandas DataFrame写入.XLS文件？

Question

我想首先显示一个适用于XLSX的示例（但不幸的是，我需要XLS，而该方法对此不起作用）。只是为了澄清一下，我的主要问题是生成的XLS文件的列类型格式。

# Method that works for XLSX
import pandas as pd

# Example Dataframe
df = pd.DataFrame({'Numbers': [1000, 2000, 3000, 4000, 5000],
                   'Names': ['Adam','Blake','Chad','Drake','Erak'],
                   'Weights': [1.05, 2.10, 3.15, 4.20, 5.25],
})

# Create a Pandas Excel writer
writer = pd.ExcelWriter(r'c:\users\3619678\desktop\example_file.xlsx')

# Convert the dataframe to an Excel object
df.to_excel(writer, sheet_name='Sheet1', index=False)

# Get the xlsxwriter workbook and worksheet objects
workbook  = writer.book
worksheet = writer.sheets['Sheet1']

# Define cell formats
number_format = workbook.add_format({'num_format': '0.00'})

# Set a certain column's width and apply certain format
worksheet.set_column('A:A', 20, number_format)

# Close the Pandas Excel writer and output the Excel file.
writer.save()
现在这是我到目前为止对XLS版本最接近的尝试：

import pandas as pd

# Example Dataframe
df = pd.DataFrame({'Numbers': [1000, 2000, 3000, 4000, 5000],
                   'Names': ['Adam','Blake','Chad','Drake','Erak'],
                   'Weights': [1.05, 2.10, 3.15, 4.20, 5.25],
})

import xlwt

# Create a workbook and add a worksheet
workbook = xlwt.Workbook(r'c:\users\3619678\desktop\example_file.xls')
worksheet = workbook.add_sheet('sheet1',cell_overwrite_ok=True)

# Create formats
number_format = xlwt.easyxf(num_format_str='0.00')

# Iterate over the data and write it out row by row
for x, y in df.iterrows():
    for z, value in enumerate(y):
        worksheet.write(x, z, value, number_format)

# Save/output the workbook
workbook.save(r'c:\users\3619678\desktop\example_file.xls')
但是，此版本的问题在于，它不仅不显示标题，而且还对所有单元格应用了格式。如果有人能帮助我，我将不胜感激，我为此付出了永远！

我想首先显示一个适用于XLSX的示例（但不幸的是，我需要XLS，而该方法对此不起作用）。再次说明一下，我的主要问题是列类型...

Answer 1

使用df.to_excel应该容易得多