如何使用 Pandas 在现有 Excel 文件中保存新工作表？

我想使用excel文件来存储用python详细说明的数据。我的问题是我无法将工作表添加到现有的 Excel 文件中。在这里，我建议使用示例代码来解决此问题

import pandas as pd
import numpy as np

path = r"C:\Users\fedel\Desktop\excelData\PhD_data.xlsx"

x1 = np.random.randn(100, 2)
df1 = pd.DataFrame(x1)

x2 = np.random.randn(100, 2)
df2 = pd.DataFrame(x2)

writer = pd.ExcelWriter(path, engine = 'xlsxwriter')
df1.to_excel(writer, sheet_name = 'x1')
df2.to_excel(writer, sheet_name = 'x2')
writer.save()
writer.close()

此代码将两个 DataFrame 保存到两张纸中，分别命名为“x1”和“x2”。如果我创建两个新的 DataFrame 并尝试使用相同的代码添加两个新工作表“x3”和“x4”，则原始数据将丢失。

import pandas as pd
import numpy as np

path = r"C:\Users\fedel\Desktop\excelData\PhD_data.xlsx"

x3 = np.random.randn(100, 2)
df3 = pd.DataFrame(x3)

x4 = np.random.randn(100, 2)
df4 = pd.DataFrame(x4)

writer = pd.ExcelWriter(path, engine = 'xlsxwriter')
df3.to_excel(writer, sheet_name = 'x3')
df4.to_excel(writer, sheet_name = 'x4')
writer.save()
writer.close()

我想要一个包含四张表的 Excel 文件：“x1”、“x2”、“x3”、“x4”。 我知道“xlsxwriter”不是唯一的“引擎”，还有“openpyxl”。我还看到已经有其他人写过有关此问题的文章，但我仍然不明白该怎么做。

这是取自此的代码link https://stackoverflow.com/questions/20219254/how-to-write-to-an-existing-excel-file-without-overwriting-data-using-pandas

import pandas
from openpyxl import load_workbook

book = load_workbook('Masterfile.xlsx')
writer = pandas.ExcelWriter('Masterfile.xlsx', engine='openpyxl') 
writer.book = book
writer.sheets = dict((ws.title, ws) for ws in book.worksheets)

data_filtered.to_excel(writer, "Main", cols=['Diff1', 'Diff2'])

writer.save()

他们说它有效，但很难弄清楚如何实现。我不明白“ws.title”、“ws”和“dict”在这种情况下是什么。

保存“x1”和“x2”，然后关闭文件，再次打开并添加“x3”和“x4”的最佳方法是什么？

谢谢。我相信一个完整的例子可能对遇到同样问题的其他人有好处：

import pandas as pd
import numpy as np

path = r"C:\Users\fedel\Desktop\excelData\PhD_data.xlsx"

x1 = np.random.randn(100, 2)
df1 = pd.DataFrame(x1)

x2 = np.random.randn(100, 2)
df2 = pd.DataFrame(x2)

writer = pd.ExcelWriter(path, engine = 'xlsxwriter')
df1.to_excel(writer, sheet_name = 'x1')
df2.to_excel(writer, sheet_name = 'x2')
writer.close()

这里我生成一个excel文件，根据我的理解，它是通过“xslxwriter”还是“openpyxl”引擎生成并不重要。

当我想在不丢失原始数据的情况下写入时

import pandas as pd
import numpy as np
from openpyxl import load_workbook

path = r"C:\Users\fedel\Desktop\excelData\PhD_data.xlsx"

book = load_workbook(path)
writer = pd.ExcelWriter(path, engine = 'openpyxl')
writer.book = book

x3 = np.random.randn(100, 2)
df3 = pd.DataFrame(x3)

x4 = np.random.randn(100, 2)
df4 = pd.DataFrame(x4)

df3.to_excel(writer, sheet_name = 'x3')
df4.to_excel(writer, sheet_name = 'x4')
writer.close()

这段代码可以完成工作！