Inserting rows from df to MS Access Error "number of query values and destination fields are not the same"

I have a dataframe called df2 which has the following columns:

IN: df2.columns
Out: 
Index(['Section Names', 'Job Code', 'Job Title', 'Footnotes', 'Rates',
       'Wage Determination', 'Revision Date', 'Revision Number'],
      dtype='object')

I count this as 8 columns.

I have saved the column names into cols:

IN: cols = "','".join([str(i) for i in df2.columns.tolist()])
IN: print(cols)
OUT: Section Names','Job Code','Job Title','Footnotes','Rates','Wage Determination','Revision Date','Revision Number

Again, I'm seeing 8 columns.

And, in Access I have a table that has these columns (none of which are assigned as a primary key, for now):

Section Name
Job Code
Job Title
Footnotes 
Rates
Wage Determination
Revision Date
Revision Number

which is 8 columns. I tried to execute this code to populate test_table with the data from df2:

for i, row in df2.iterrows():
    sql = "INSERT INTO `test_table` (`" +cols + "`) VALUES (?,?,?,?,?,?,?,?)"
    cursor.execute(sql, tuple(row))
    conn.commit()

but I am getting this error:

Error: ('21S01', '[21S01] [Microsoft][ODBC Microsoft Access Driver] Number of query values and destination fields are not the same. (-3520) (SQLExecDirectW)')

I was thinking it was because it is trying to insert the index, and did index_col = 0 when reading the csv file (which assigned to df2). However, that decreased the column count by 1, and I adjusted the cols values and VALUES in the sql statement accordingly, but I came up with the same error.

Any ideas? TIA.

EDIT I thought it might be a data types issue. I changed all the data types in Access to 'short text' and the datatype in df2 to object. Still the same error.

Solution

In MS Access, you need to square bracket or backtick table or column names with spaces and/or special characters. Right now, you use single quotes in your str.join but then use backticks in the SQL statement. Simply, use backticks or square brackets in both strings:

# DELIMIT WITH BACK TICKS
cols = "`, `".join(i for i in df2.columns)
qmarks = ", ".join('?' for _ in  df2.columns)

# USING F-STRING
sql = f"INSERT INTO `test_table` (`{cols}`) VALUES ({qmarks})"

for i, row in df2.iterrows():
    cursor.execute(sql, tuple(row))
    conn.commit()

Consider even executemany:

cols = "`, `".join(i for i in df2.columns)
qmarks = ", ".join('?' for _ in  df2.columns)
sql = f"INSERT INTO `test_table` (`{cols}`) VALUES ({qmarks})"

vals = df2.to_numpy().tolist()
cursor.executemany(sql, vals)
conn.commit()