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图纸添加到现有的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保存为两个表,分别名为“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′,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纸的excel文件:’x1′,’x2′,’x3′,’x4′.
我知道’xlsxwriter’不是唯一的“引擎”,有’openpyxl’.我也看到已经有其他人写过关于这个问题的文章,但我仍然无法理解如何做到这一点.
这里的代码来自这个link
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.我不明白在这种情况下“ws.title”,“ws”和“dict”是什么.
哪个是保存“x1”和“x2”的最佳方法,然后关闭文件,再次打开并添加“x3”和“x4”?
解决方法:
谢谢.我相信一个完整的例子可能对其他有同样问题的人有好处:
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.save()
writer.close()
在这里,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.
当我想写而不丢失原始数据然后
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.save()
writer.close()
这段代码完成了这项工作!