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-rw-r--r--doc/release/migration_guide_from_2.x_to_3.0.rst23
1 files changed, 6 insertions, 17 deletions
diff --git a/doc/release/migration_guide_from_2.x_to_3.0.rst b/doc/release/migration_guide_from_2.x_to_3.0.rst
index a7dc8a4f..8035f4d3 100644
--- a/doc/release/migration_guide_from_2.x_to_3.0.rst
+++ b/doc/release/migration_guide_from_2.x_to_3.0.rst
@@ -1,8 +1,8 @@
:orphan:
-*****************************
-Preparing for the 3.0 release
-*****************************
+*******************************
+Migration guide from 2.X to 3.0
+*******************************
.. note::
Much of the work leading to the NetworkX 3.0 release will be included
@@ -11,7 +11,7 @@ Preparing for the 3.0 release
ongoing work and will help you understand what changes you can make now
to minimize the disruption caused by the move to 3.0.
-This is a guide for people moving from NetworkX 2.X to NetworkX 3.0
+This is a guide for people moving from NetworkX 2.X to NetworkX 3.0.
Any issues with these can be discussed on the `mailing list
<https://groups.google.com/forum/#!forum/networkx-discuss>`_.
@@ -34,9 +34,6 @@ structures (``Graph``, ``DiGraph``, etc.) and common algorithms, but some
functionality, e.g. functions found in the ``networkx.linalg`` package, are
only available if these additional libraries are installed.
-.. **TODO**: Generate a table showing dependencies of individual nx objects?
-.. Probably overkill...
-
Improved integration with scientific Python
-------------------------------------------
@@ -179,15 +176,7 @@ improving supported for array representations of multi-attribute adjacency::
Deprecated code
---------------
-The 2.6 release deprecates over 30 functions.
-See :ref:`networkx_2.6`.
-
-.. **TODO**: A table summarizing one deprecation per row w/ 3 columns: 1. the
-.. deprecated function, 2. the old usage, 3. the replacement usage.
-
----
-
-The functions `read_gpickle` and `write_gpickle` will be removed in 3.0.
+The functions `read_gpickle` and `write_gpickle` were removed in 3.0.
You can read and write NetworkX graphs as Python pickles.
>>> import pickle
@@ -199,7 +188,7 @@ You can read and write NetworkX graphs as Python pickles.
... G = pickle.load(f)
...
-The functions `read_yaml` and `write_yaml` will be removed in 3.0.
+The functions `read_yaml` and `write_yaml` were removed in 3.0.
You can read and write NetworkX graphs in YAML format
using pyyaml.