pandas 和 xlsxwriter 中不同索引的问题答案

【问题标题】：Problem with different indexing in pandas and xlsxwriterpandas 和 xlsxwriter 中不同索引的问题
【发布时间】：2020-03-13 13:35:38
【问题描述】：

下面是运行良好的代码：

import pandas as pd


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

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_conditional.xlsx', engine='xlsxwriter')

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

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

# Apply a conditional format to the cell range.
worksheet.conditional_format(1,1,1,1, {'type': '3_color_scale'}) ##CHANGES THE COLOR OF SECOND ROW

# Close the Pandas Excel writer and output the Excel file.
writer.save()

这将创建以下输出。

我的问题是，是否可以在 pandas 索引中包含 Header Data？我想从第一行开始索引。所以标题Data 应该有索引0。这很有用，因为在xlsxwriter 第一行有索引0。

【问题讨论】：

标签： python python-3.x pandas indexing xlsxwriter

【解决方案1】：

首先 index 是一个对象，默认索引从 0 开始。你可以通过输入 swift 它：

df.index += 1

对于标头的索引名称，pandas 方法 to_excel 采用一个称为 index_label 的参数。所以你的代码应该是：

import pandas as pd

# Create a Pandas dataframe from some data.
df = pd.DataFrame({'Data': [10, 20, 30, 20, 15, 30, 45]})
df.index += 1

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_conditional.xlsx', engine='xlsxwriter')

# Convert the dataframe to an XlsxWriter Excel object.
df.to_excel(writer, sheet_name='Sheet1', index_label='0')

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

# Apply a conditional format to the cell range.
worksheet.conditional_format(1,1,1,1, {'type': '3_color_scale'}) ##CHANGES THE COLOR OF SECOND ROW

# Close the Pandas Excel writer and output the Excel file.
writer.save()

输出：

【讨论】：