使用python从BytesIO创建一个excel文件 [英] Create an excel file from BytesIO using python

问题描述

我正在使用 pandas 库将 excel 存储到 bytesIO 内存中.后来，我将这个 bytesIO 对象存储到 SQL Server 中，如下所示 -

I am using pandas library to store excel into bytesIO memory. Later, I am storing this bytesIO object into SQL Server as below-

    df = pandas.DataFrame(data1, columns=['col1', 'col2', 'col3'])
    output = BytesIO()
    writer = pandas.ExcelWriter(output,engine='xlsxwriter')
    df.to_excel(writer)
    writer.save()
    output.seek(0)
    workbook = output.read()

    #store into table
    Query = '''
            INSERT INTO [TABLE]([file]) VALUES(?)
            '''
    values = (workbook)
    cursor = conn.cursor()
    cursor.execute(Query, values)
    cursor.close()
    conn.commit()

   #Create excel file.
   Query1 = "select [file] from [TABLE] where [id] = 1"
   result = conn.cursor().execute(Query1).fetchall()
   print(result[0])

现在，我想从表中拉回 BytesIO 对象并创建一个 excel 文件并将其存储在本地.我该怎么做?

Now, I want to pull the BytesIO object back from table and create an excel file and store it locally. How Do I do it?

推荐答案

终于有了解决方案.以下是执行的步骤:

Finally, I got solution.Below are the steps performed:

1. 获取 Dataframe 并将其转换为 excel 并以 BytesIO 格式存储在内存中.
2. 在具有 varbinary(max) 的数据库列中存储 BytesIO 对象
3. 拉取存储的 BytesIO 对象并在本地创建一个 excel 文件.

Python 代码:

#Get Required data in DataFrame:
df = pandas.DataFrame(data1, columns=['col1', 'col2', 'col3'])

#Convert the data frame to Excel and store it in BytesIO object `workbook`:
output = BytesIO()
writer = pandas.ExcelWriter(output,engine='xlsxwriter')
df.to_excel(writer)
writer.save()
output.seek(0)
workbook = output.read()

#store into Database table
Query = '''
        INSERT INTO [TABLE]([file]) VALUES(?)
        '''
values = (workbook)
cursor = conn.cursor()
cursor.execute(Query, values)
cursor.close()
conn.commit()

#Retrieve the BytesIO object from Database
Query1 = "select [file] from [TABLE] where [id] = 1"
result = conn.cursor().execute(Query1).fetchall()

WriteObj = BytesIO()
WriteObj.write(result[0][0])  
WriteObj.seek(0)  
df = pandas.read_excel(WriteObj)
df.to_excel("outputFile.xlsx") 

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