Consider offering a reader/writer object based on a given dataframe

[robin900]

A writer object would mainly serve to automate the arguments passed to get_as_dataframe but also a little bit for set_with_dataframe:

from gspread_dataframe import make_reader_writer
ws = some_worksheet
df = some_dataframe
df2 = some_dataframe_with_same_columns
reader_writer = make_reader_writer(example=df, resize=True, include_index=True)
reader_writer.write(ws, df2)
df3 = reader_writer.read(ws)
print(reader_writer.get_as_dataframe_call_repr(numpy_alias='np'))
>>> "get_as_dataframe(worksheet, header=0, indexcol=0, dtype={'col1': object, 'col2': np.int64, 'col3': np.datetime64})"