OPENPYXL 填充新工作表

Question

我有一系列 10 个 pandas 数据框，每个数据框有 100 行和 6 列。我正在尝试使用 openpyxl 将数据写入 xlsx。每个数据框都应该在工作簿的单独工作 sheet 中。 sheet 正在创建，但是，所有结果仅在第一个 sheet 上输入（所以我得到 10 sheets，9 个为空，一个有 1000 行 - 当我应该有 10 sheets，每行 100 行）。我怎样才能解决这个问题？

这是前 2 sheets 的代码：

from openpyxl import Workbook

# Create the hospital_ranking workbook
hospital_ranking = Workbook()
dest_filename1 = "hospital_ranking.xlsx"

ws1 = hospital_ranking.active
ws1.title = "Nationwide"

from openpyxl.utils.dataframe import dataframe_to_rows

# Write the nationwide query to ws1
for r in dataframe_to_rows(national_results, index = False, header = True):
    ws1.append(r)

for cell in ws1['A'] + ws1[1]:
    cell.style = 'Pandas'

# Create the worksheet for each focus state

# CA
ws2 = hospital_ranking.create_sheet(title = 'California')
ws2 = hospital_ranking.active


# Write the CA query to ws2
for r in dataframe_to_rows(ca_results, index = False, header = True):
    ws2.append(r)

for cell in ws2['A'] + ws2[1]:
    cell.style = 'Pandas'

hospital_ranking.save(filename = os.path.join("staging/") + dest_filename1)

Answer 1

创建 sheet 后，您需要参考它：不要将 ws2 重新绑定到工作簿的活动 sheet.

ws2 = hospital_ranking.active

等同于：

ws2 = ws1

Answer 2

您使事情过于复杂并且不需要您发布的大部分（如果不是全部）代码。只需使用接受 sheet_name 参数的 df.to_excel。

import pandas as pd

ew = pd.ExcelWriter('excel.xlsx')

list_of_dfs = [df1, df2, df3]
list_of_worksheet_names = [sheet1, sheet2, sheet3]
for df, sheet_name in zip(list_of_dfs, list_of_worksheet_names):
    df.to_excel(ew, sheet_name=sheet_name)

ew.save()

Answer 3

对我们来说更简单的方法df.to_excel

# Create a Pandas Excel writer using openpyxl as the engine.
writer = pd.ExcelWriter(xlfile, engine='openpyxl')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='California')
df2.to_excel(writer, sheet_name='Arizona')
df3.to_excel(writer, sheet_name='Texas')

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

OPENPYXL 填充新工作表

OPENPYXL populate new worksheets

python

pandas

openpyxl