ValueError with Pandas - shaped of passed values

问题

I'm trying to use Pandas and PyODBC to pull from a SQL Server View and dump the contents to an excel file.

However, I'm getting the error when dumping the data frame (I can print the colums and dataframe content):

ValueError: Shape of passed values is (1, 228), indices imply (2, 228)

There are several other issues on this forum pertaining to the same issue, but none discuss pulling from a SQL Server table.

I can't figure out what is causing this error, and altering the view to cast the source columns differently has no effect.

Here is the python code i'm using:

import pyodbc
import pandas as pd
cnxn = pyodbc.connect('DRIVER={SQL Server};SERVER=servername;DATABASE=dbname;UID=username;PWD=password')
cursor = cnxn.cursor()
script = """
SELECT * FROM schema.ActiveEnrollmentCount
"""
cursor.execute(script)
columns = [desc[0] for desc in cursor.description]

data = cursor.fetchall()

df = pd.DataFrame(list(data), columns=columns)

writer = pd.ExcelWriter('c:\temp\ActiveEnrollment.xlsx')
df.to_excel(writer, sheet_name='bar')

writer.save()

The 2 columns I'm trying to pull are both 3-digit integers.

回答1:

To query data from a database, you can better use the built-in read_sql_query function instead of doing the execute and converting to dataframe manually.
For your example, this would give something like:

df = pd.read_sql_query(script, cnxn)

See the docs for more explanation on read_sql/to_sql.

回答2:

This worked from to export data from sqlserver to excel sheet .

import pyodbc
    import pandas as pd
    from openpyxl import Workbook


    cnxn = pyodbc.connect("Driver={SQL Server Native Client 11.0};"
                          "Server=WINS2012;"
                          "Database=NameOfDataBase;"
                          "Trusted_Connection=yes;")


    cursor = cnxn.cursor()
    script = """
    SELECT * FROM ims_employee
    """
    cursor.execute(script)

    columns = [desc[0] for desc in cursor.description]

    data = cursor.fetchall()

    df = pd.read_sql_query(script, cnxn)

    writer = pd.ExcelWriter('C:\SqlExcel\Book1.xlsx')
    df.to_excel(writer, sheet_name='bar')

    writer.save()

来源：https://stackoverflow.com/questions/31550031/valueerror-with-pandas-shaped-of-passed-values

标签

python

pandas

pyodbc