DOC: place Colab section correctly under remote files

Author: Atharv-navatre

doc/source/user_guide/io.rst

@@ -1613,6 +1613,53 @@ a permanent store.
 .. _fsimpl1: https://filesystem-spec.readthedocs.io/en/latest/api.html#built-in-implementations
 .. _fsimpl2: https://filesystem-spec.readthedocs.io/en/latest/api.html#other-known-implementations
 
+Loading data in Google Colab notebooks
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Google Colab is a hosted Jupyter notebook environment. Since it runs remotely,
+files must be explicitly uploaded or mounted before they can be read by pandas.
+
+Uploading local files
+^^^^^^^^^^^^^^^^^^^^^
+
+Files can be uploaded directly to the Colab runtime using ``google.colab.files``:
+
+.. code-block:: python
+
+   from google.colab import files
+   uploaded = files.upload()
+
+   import pandas as pd
+   df = pd.read_csv("data.csv")
+
+Using Google Drive
+^^^^^^^^^^^^^^^^^
+
+Google Drive can be mounted to make files available to the runtime:
+
+.. code-block:: python
+
+   from google.colab import drive
+   drive.mount("/content/drive")
+
+   import pandas as pd
+   df = pd.read_csv("/content/drive/MyDrive/data.csv")
+
+Loading data from a URL
+^^^^^^^^^^^^^^^^^^^^^^
+
+Data hosted remotely can be read directly using a URL:
+
+.. code-block:: python
+
+   import pandas as pd
+
+   url = (
+       "https://raw.githubusercontent.com/pandas-dev/pandas/main/"
+       "doc/data/air_quality_no2.csv"
+   )
+   df = pd.read_csv(url)
+
 Writing out data
 ''''''''''''''''
 
@@ -6519,51 +6566,4 @@ The files ``test.pkl.compress``, ``test.parquet`` and ``test.feather`` took the
     24009288 Oct 10 06:43 test_fixed.hdf
     24009288 Oct 10 06:43 test_fixed_compress.hdf
     24458940 Oct 10 06:44 test_table.hdf
-    24458940 Oct 10 06:44 test_table_compress.hdf
-
-Loading data in Google Colab notebooks
-'''''''''''''''''''''''''''''''''''''''
-
-Google Colab is a hosted Jupyter notebook environment. Since it runs remotely,
-files must be explicitly uploaded or mounted before they can be read by pandas.
-
-Uploading local files
-~~~~~~~~~~~~~~~~~~~~~
-
-Files can be uploaded directly to the Colab runtime using ``google.colab.files``:
-
-.. code-block:: python
-
-   from google.colab import files
-   uploaded = files.upload()
-
-   import pandas as pd
-   df = pd.read_csv("data.csv")
-
-Using Google Drive
-~~~~~~~~~~~~~~~~~
-
-Google Drive can be mounted to make files available to the runtime:
-
-.. code-block:: python
-
-   from google.colab import drive
-   drive.mount("/content/drive")
-
-   import pandas as pd
-   df = pd.read_csv("/content/drive/MyDrive/data.csv")
-
-Loading data from a URL
-~~~~~~~~~~~~~~~~~~~~~~
-
-Data hosted remotely can be read directly using a URL:
-
-.. code-block:: python
-
-   import pandas as pd
-
-   url = (
-       "https://raw.githubusercontent.com/pandas-dev/pandas/main/"
-       "doc/data/air_quality_no2.csv"
-   )
-   df = pd.read_csv(url)
+    24458940 Oct 10 06:44 test_table_compress.hdf