Deprecated `iteritems()` attribute for Series

[LuighiV]

Executing with recent version of pandas (2.0.0), released on April 3, 2023, returns this error:

Loaded 1 dataframes
Traceback (most recent call last):
  File "/usr/local/bin/csvs-to-sqlite", line 8, in <module>
    sys.exit(cli())
  File "/usr/local/lib/python3.9/site-packages/click/core.py", line 829, in __call__
    return self.main(*args, **kwargs)
  File "/usr/local/lib/python3.9/site-packages/click/core.py", line 782, in main
    rv = self.invoke(ctx)
  File "/usr/local/lib/python3.9/site-packages/click/core.py", line 1066, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/usr/local/lib/python3.9/site-packages/click/core.py", line 610, in invoke
    return callback(*args, **kwargs)
  File "/usr/local/lib/python3.9/site-packages/csvs_to_sqlite/cli.py", line 253, in cli
    to_sql_with_foreign_keys(
  File "/usr/local/lib/python3.9/site-packages/csvs_to_sqlite/utils.py", line 330, in to_sql_with_foreign_keys
    create_sql, columns = get_create_table_sql(
  File "/usr/local/lib/python3.9/site-packages/csvs_to_sqlite/utils.py", line 287, in get_create_table_sql
    columns_and_types = df.dtypes.iteritems()
  File "/usr/local/lib/python3.9/site-packages/pandas/core/generic.py", line 5989, in __getattr__
    return object.__getattribute__(self, name)
AttributeError: 'Series' object has no attribute 'iteritems'

This is because a removed method for Series.

Removed deprecated Series.iteritems(), DataFrame.iteritems(), use obj.items instead (GH45321)

Reference: https://pandas.pydata.org/docs/whatsnew/v2.0.0.html#removal-of-prior-version-deprecations-changes

[hcarter333]

We ran into both of these problems this morning as well. After trying unsuccessfully to change the code, (didn't see this issue till just now), we finally did

pip install pandas==1.5.0

and everything worked like a charm. Would an easier fix be to change the requieqments list for install from pandas>=1.0 to a version that is also <=1.5.0 ?

so... in setup.py we could have

"pandas>=1.0,<=1.5.0",