fix: python integration docs (#4363)

I am not sure where I got the 4000 row dataframe from but that is wrong.
There are three files each with 1000 rows. This is what Python prints
when I run these lines. I also unnecessarily included a read of a Vortex
file which is never used.

Signed-off-by: Daniel King <[email protected]>

Author: danking

docs/guides/python-integrations.md

@@ -188,7 +188,6 @@ and then run `make -C docs doctest` -->
 ```{doctest} pycon
 >>> import os
 >>> os.makedirs("ray_data", exist_ok=True)
->>> ds = vx.open('example.vortex').to_dataset()
 >>> vx.io.write(arr, 'ray_data/example-01.vortex')
 >>> vx.io.write(arr, 'ray_data/example-02.vortex')
 >>> vx.io.write(arr, 'ray_data/example-03.vortex')
@@ -198,19 +197,18 @@ and then run `make -C docs doctest` -->
 >>>
 >>> ds = read_datasource(VortexDatasource(url='ray_data')) # doctest: +SKIP
 >>> ds.to_pandas() # doctest: +SKIP
-[dataset]: Run `pip install tqdm` to enable progress reporting.
       VendorID tpep_pickup_datetime  ... congestion_surcharge  Airport_fee
 0            1  2023-11-01 00:03:03  ...                  0.0         1.75
 1            1  2023-11-01 00:03:28  ...                  2.5         0.00
 2            2  2023-10-31 23:58:05  ...                  2.5         1.75
 3            2  2023-11-01 00:03:50  ...                  2.5         0.00
 4            2  2023-11-01 00:06:30  ...                  2.5         0.00
 ...        ...                  ...  ...                  ...          ...
-3995         1  2023-11-01 00:09:20  ...                  2.5         0.00
-3996         2  2023-11-01 00:16:03  ...                  2.5         0.00
-3997         2  2023-11-01 00:32:42  ...                  2.5         0.00
-3998         1  2023-11-01 00:04:52  ...                  2.5         0.00
-3999         1  2023-11-01 00:18:56  ...                  2.5         0.00
+2995         1  2023-11-01 00:09:20  ...                  2.5         0.00
+2996         2  2023-11-01 00:16:03  ...                  2.5         0.00
+2997         2  2023-11-01 00:32:42  ...                  2.5         0.00
+2998         1  2023-11-01 00:04:52  ...                  2.5         0.00
+2999         1  2023-11-01 00:18:56  ...                  2.5         0.00
 <BLANKLINE>
-[4000 rows x 19 columns]
+[3000 rows x 19 columns]
 ```