[英]Saving dict generated by pandas read_excel to multi-sheet excel file
[英]Saving multi-sheet excel file to Azure Blob Storage using Pandas in Python
我正在嘗試在 excel 文件中創建兩張工作表,然后使用 ZA37217F32Z4265B6 中的 Pandas 將其上傳到 Azure Blob 存儲但是,我收到一個錯誤 - “'OpenpyxlWriter' object new_writer 的 Cannot.getvalue()”。
blob_client = blob_service_client.get_blob_client(container=new_container_name, blob=file_name)
writer = io.BytesIO()
summary = pd.DataFrame({"one_val": [1, 2]})
summary.to_excel(writer, sheet_name="Sheet A", index=False)
blob_client.upload_blob(writer.getvalue(), overwrite=True)
writer = io.BytesIO()
summary2 = pd.DataFrame({"two_val": [3, 4]})
with pd.ExcelWriter(writer, engine="openpyxl", mode="a") as new_writer:
summary2.to_excel(new_writer, sheet_name="Sheet B", index=False, encoding="utf-8")
blob_client.upload_blob(new_writer.getvalue(), blob_type="AppendBlob", overwrite=False)
任何有關此問題的解決方案的幫助表示贊賞。 謝謝
閱讀本文以了解如何將 xlsx 保存到字符串https://xlsxwriter.readthedocs.io/working_with_pandas.html#saving-the-dataframe-output-to-a-string
這用於處理多張紙https://xlsxwriter.readthedocs.io/example_pandas_multiple.html
最后一個例子是
import pandas as pd
import io
# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
output = io.BytesIO()
writer = pd.ExcelWriter(output, engine='xlsxwriter')
# Write the data frame to the BytesIO object.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
writer.save()
xlsx_data = output.getvalue()
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