Repository: jupyrdf/ipyforcegraph (language: python)

Issue:
Non-string `Text.text` values crash `ipyforcegraph`
## Description

In [this line](https://github.com/jupyrdf/ipyforcegraph/blob/ff2af937b898e2ead158d4de2669b5b44c28dacf/js/widgets/behaviors/shapes/text.ts#L50C28-L50C28) we don't check to see if `drawOptions.text` is a string, and if it is set to something else (e.g., a number), the `ForceGraph` will crash, producing the following error.

```
text.ts:50 Uncaught TypeError: o.text.trim is not a function
```

The error seems to be not recoverable, i.e., only way to get the graph to render again is to make a new ForceGraph.  Also, errors only show up in the JavaScript Console.

## Reproduce

1. Make a dataframe for the `nodes` that has as numeric value
2. Create a `NodeShape` behavior and use `Text` as the shape
3. Assign the `.text` property using a `Column(<non-text-attribute>)`

## Expected behavior

Would expect non-text values to be cast to strings.
Ensure 2d text can render non-text
## Checklist

- [x] the PR target is correct
  - `main` for releases, docs-only fixes and post-release hot-fixes
  - [x] `dev` for everything else
- [x] ran `doit lint` locally

## References

- fixes #103
- blocked by #102 

## Code changes

- [x] add reproducer test for non-text text in 2d force graph
- [ ] fix broken reproducer test

## User-facing changes

- users should be able to provide numeric columns, etc. for 2d text

## Backwards-incompatible changes
- n/a


Discussion / hints:

Fix patch:
diff --git a/.github/locks/linux-64_dev_lab3.6_py3.11.conda.lock b/.github/locks/linux-64_dev_lab3.6_py3.11.conda.lock
index 774051e5..d79e5036 100644
--- a/.github/locks/linux-64_dev_lab3.6_py3.11.conda.lock
+++ b/.github/locks/linux-64_dev_lab3.6_py3.11.conda.lock
@@ -97,7 +97,6 @@ https://conda.anaconda.org/conda-forge/linux-64/gettext-0.21.1-h27087fc_0.tar.bz
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+https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.0.9-py311ha362b79_9.conda#ced5340f5dc6cff43a80deac8d0e398f
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-https://conda.anaconda.org/conda-forge/linux-64/mypy-1.4.0-py311h459d7ec_0.conda#def6703145edb9ce17e769b824de849e
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diff --git a/.github/locks/linux-64_lock.conda.lock b/.github/locks/linux-64_lock.conda.lock
index 51a52308..24070c27 100644
--- a/.github/locks/linux-64_lock.conda.lock
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index cc114963..c36c7167 100644
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diff --git a/.github/locks/win-64_lock.conda.lock b/.github/locks/win-64_lock.conda.lock
index 5dfb5f27..9bc43613 100644
--- a/.github/locks/win-64_lock.conda.lock
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 https://conda.anaconda.org/conda-forge/win-64/ruamel.yaml-0.17.32-py311ha68e1ae_0.conda#1a51f29331338bfde51127db204d7757
-https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.6.3-hd8ed1ab_0.conda#3876f650ed7d0f95d70fa4b647621909
+https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.7.0-hd8ed1ab_0.conda#37761dccc7ca8eaa08c60c4f62eb2dcc
 https://conda.anaconda.org/conda-forge/win-64/brotlipy-0.7.0-py311ha68e1ae_1005.tar.bz2#dd9604ece454103e7210110c6d343e37
 https://conda.anaconda.org/conda-forge/noarch/click-default-group-1.2.2-pyhd8ed1ab_1.tar.bz2#72a46ffc25701c173932fd55cf0965d3
 https://conda.anaconda.org/conda-forge/win-64/cryptography-41.0.1-py311h28e9c30_0.conda#d2b52be40a519bd255397a884bd3fb1c
 https://conda.anaconda.org/conda-forge/noarch/doit-0.36.0-pyhd8ed1ab_0.tar.bz2#fc5e53d070f1ee7bb38c2ece282dcb82
 https://conda.anaconda.org/conda-forge/noarch/gitpython-3.1.31-pyhd8ed1ab_0.conda#f6e6b482110246a81c3f03e81c68752d
 https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-6.7.0-hd8ed1ab_0.conda#27a4cec373ec84d1c1aa02a1e37f8eaf
-https://conda.anaconda.org/conda-forge/win-64/libmambapy-1.4.4-py311h29ee5fe_1.conda#378df042ee4cfd5f89b5c01b2f9ea313
+https://conda.anaconda.org/conda-forge/win-64/libmambapy-1.4.5-py311h29ee5fe_0.conda#4eea49d0269aa4944a663f236def835d
 https://conda.anaconda.org/conda-forge/noarch/platformdirs-3.8.0-pyhd8ed1ab_0.conda#3e4aca765371893ad848397794600632
 https://conda.anaconda.org/conda-forge/win-64/pydantic-1.10.9-py311ha68e1ae_0.conda#b086521bbe799f96dcc8006869496d1a
-https://conda.anaconda.org/conda-forge/win-64/zstandard-0.19.0-py311he5d195f_1.conda#af889af78c5389e344392e305b4d7bc7
+https://conda.anaconda.org/conda-forge/win-64/zstandard-0.19.0-py311he5d195f_2.conda#7ef609e9bfd58d18962d7b7c0c529638
 https://conda.anaconda.org/conda-forge/noarch/conda-package-streaming-0.8.0-pyhd8ed1ab_0.conda#ebe3230a4c1e135954eee4fb6ef8cded
 https://conda.anaconda.org/conda-forge/noarch/doit-with-toml-0.36.0-pyhd8ed1ab_0.tar.bz2#593faaa546937cfa071928c9127fcb12
 https://conda.anaconda.org/conda-forge/win-64/keyring-24.2.0-py311h1ea47a8_0.conda#6a5239529cb5af3437bdd24c1082c2eb
@@ -110,5 +110,5 @@ https://conda.anaconda.org/conda-forge/noarch/cachecontrol-0.13.0-pyhd8ed1ab_0.c
 https://conda.anaconda.org/conda-forge/win-64/conda-22.9.0-py311h1ea47a8_2.tar.bz2#b10f47d78cb51f295ee9e6f3a611fa17
 https://conda.anaconda.org/conda-forge/noarch/ensureconda-1.4.3-pyhd8ed1ab_0.tar.bz2#c99ae3abf501990769047b4b40a98f17
 https://conda.anaconda.org/conda-forge/noarch/cachecontrol-with-filecache-0.13.0-pyhd8ed1ab_0.conda#3fd3d55ea862cc0736ac1cce6f44c2d1
-https://conda.anaconda.org/conda-forge/win-64/mamba-1.4.4-py311h8cb466b_1.conda#87dea39a3f5b069437e056696d0fd619
+https://conda.anaconda.org/conda-forge/win-64/mamba-1.4.5-py311h8cb466b_0.conda#42ec8e65aab0d0505dffab593b721968
 https://conda.anaconda.org/conda-forge/noarch/conda-lock-2.0.0-pyhd8ed1ab_0.conda#b21d640094b5b8acb270334b5950cc74
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index eabf887e..d0ed4905 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -21,7 +21,7 @@ env:
   CONDA_EXE: mamba
   # our stuff
   SKIP_CONDA_PREFLIGHT: 1
-  CACHE_EPOCH: 11
+  CACHE_EPOCH: 12
   ATEST_RETRIES: 2
 
 jobs:
diff --git a/.github/workflows/pages.yml b/.github/workflows/pages.yml
index 86182243..09951292 100644
--- a/.github/workflows/pages.yml
+++ b/.github/workflows/pages.yml
@@ -16,7 +16,7 @@ env:
   CONDA_EXE: mamba
   # our stuff
   SKIP_CONDA_PREFLIGHT: 1
-  CACHE_EPOCH: 11
+  CACHE_EPOCH: 12
   ATEST_RETRIES: 2
 
 jobs:
diff --git a/CHANGELOG.md b/CHANGELOG.md
index e7d290a7..dd69214a 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,13 @@
 # Changelog
 
+## `0.3.5`
+
+### `ipyforcegraph 0.3.5`
+
+### `@jupyrdf/jupyter-forcegraph 0.3.5`
+
+- 2D node text can now be provided by non-text values (by constant or `Column`)
+
 ## `0.3.4`
 
 ### `ipyforcegraph 0.3.4`
diff --git a/README.md b/README.md
index 4e31598e..b36920be 100644
--- a/README.md
+++ b/README.md
@@ -102,6 +102,20 @@ pip uninstall ipyforcegraph
 
 This work is licensed under the [BSD-3-Clause License][license].
 
+This work would not be possible without substantial efforts of this project's upstream
+dependencies, with a special thanks to:
+
+- [force-graph]
+- [3d-force-graph]
+
+## Citing `ipyforcegraph`
+
+[![doi-badge]][doi]
+
+If `ipyforcegraph` has been significant in your research, and you would like to
+acknowledge the project in an academic publication, please download a citation in your
+preferred format from [Zenodo](https://zenodo.org/record/8097392).
+
 [license]: https://github.com/jupyrdf/ipyforcegraph/tree/main/LICENSE.txt
 [docs]: https://ipyforcegraph.rtfd.io
 [docs-badge]: https://readthedocs.org/projects/ipyforcegraph/badge/?version=latest
@@ -136,3 +150,5 @@ This work is licensed under the [BSD-3-Clause License][license].
   https://img.shields.io/badge/binder-dev-F5A252.svg?logo=data:image/png;base64,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
 [binder-badge-stable]:
   https://img.shields.io/badge/binder-main-579ACA.svg?logo=data:image/png;base64,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
+[doi-badge]: https://zenodo.org/badge/580215737.svg
+[doi]: https://zenodo.org/badge/latestdoi/580215737
diff --git a/docs/dictionary.txt b/docs/dictionary.txt
index a704e4f1..966cdbc4 100644
--- a/docs/dictionary.txt
+++ b/docs/dictionary.txt
@@ -34,6 +34,7 @@ dataframes
 DataFrameSource
 dep
 DodoSource
+doi
 doit
 DynamicValue
 env
@@ -158,4 +159,5 @@ ylorbr
 YlOrBr
 ylorrd
 YlOrRd
+Zenodo
 ZForce
diff --git a/js/widgets/behaviors/shapes/text.ts b/js/widgets/behaviors/shapes/text.ts
index bf6b42d7..5d3a9f0e 100644
--- a/js/widgets/behaviors/shapes/text.ts
+++ b/js/widgets/behaviors/shapes/text.ts
@@ -47,7 +47,7 @@ export class TextShapeModel extends ShapeBaseModel {
       ...this._resolveFacets(options, EMark.node),
     };
 
-    if (drawOptions.text == null || !drawOptions.text.trim().length) {
+    if (drawOptions.text == null || !`${drawOptions.text}`.trim().length) {
       return;
     }
 
diff --git a/package.json b/package.json
index 4cb5af36..bf83dcab 100644
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@jupyrdf/jupyter-forcegraph",
-  "version": "0.3.4",
+  "version": "0.3.5",
   "description": "force-graph widget for Jupyter",
   "license": "BSD-3-Clause",
   "author": "ipyforcegraph contributors",
diff --git a/pyproject.toml b/pyproject.toml
index 797ea554..c366827a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,7 +6,7 @@ requires = [
 
 [project]
 name = "ipyforcegraph"
-version = "0.3.4"
+version = "0.3.5"
 description = "2D and 3D force-directed graph widgets for Jupyter"
 readme = "README.md"
 authors = [


Test patch:
diff --git a/.github/locks/linux-64_test_lab3.5_py3.11.conda.lock b/.github/locks/linux-64_test_lab3.5_py3.11.conda.lock
index 1e53c2b2..d0c87a22 100644
--- a/.github/locks/linux-64_test_lab3.5_py3.11.conda.lock
+++ b/.github/locks/linux-64_test_lab3.5_py3.11.conda.lock
@@ -54,7 +54,6 @@ https://conda.anaconda.org/conda-forge/linux-64/firefox-102.12.0esr-hd3aeb46_0.c
 https://conda.anaconda.org/conda-forge/linux-64/geckodriver-0.33.0-hd2f7af9_0.conda#83664049f2b276cc23bd67d41eb9a4ee
 https://conda.anaconda.org/conda-forge/linux-64/gmp-6.2.1-h58526e2_0.tar.bz2#b94cf2db16066b242ebd26db2facbd56
 https://conda.anaconda.org/conda-forge/linux-64/icu-72.1-hcb278e6_0.conda#7c8d20d847bb45f56bd941578fcfa146
-https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.0.9-h166bdaf_8.tar.bz2#9194c9bf9428035a05352d031462eae4
 https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.5.0-hcb278e6_1.conda#6305a3dd2752c76335295da4e581f2fd
 https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2#d645c6d2ac96843a2bfaccd2d62b3ac3
 https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-h166bdaf_0.tar.bz2#b62b52da46c39ee2bc3c162ac7f1804d
@@ -68,15 +67,12 @@ https://conda.anaconda.org/conda-forge/linux-64/openssl-3.1.1-hd590300_1.conda#2
 https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2#2161070d867d1b1204ea749c8eec4ef0
 https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2#4cb3ad778ec2d5a7acbdf254eb1c42ae
 https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-17_linux64_openblas.conda#57fb44770b1bc832fb2dbefa1bd502de
-https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.0.9-h166bdaf_8.tar.bz2#4ae4d7795d33e02bd20f6b23d91caf82
-https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.0.9-h166bdaf_8.tar.bz2#04bac51ba35ea023dc48af73c1c88c25
 https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.42.0-h2797004_0.conda#fdaae20a1cf7cd62130a0973190a31b7
 https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.11.4-h0d562d8_0.conda#e46fad17d5fb57316b956f88dca765e4
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.12-h27826a3_0.tar.bz2#5b8c42eb62e9fc961af70bdd6a26e168
 https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.4-h9c3ff4c_1.tar.bz2#21743a8d2ea0c8cfbbf8fe489b0347df
 https://conda.anaconda.org/conda-forge/linux-64/zlib-1.2.13-hd590300_5.conda#68c34ec6149623be41a1933ab996a209
-https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.0.9-h166bdaf_8.tar.bz2#e5613f2bc717e9945840ff474419b8e4
 https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-17_linux64_openblas.conda#7ef0969b00fe3d6eef56a8151d3afb29
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diff --git a/.github/locks/linux-64_test_lab3.5_py3.8.conda.lock b/.github/locks/linux-64_test_lab3.5_py3.8.conda.lock
index 99cad37e..efb21575 100644
--- a/.github/locks/linux-64_test_lab3.5_py3.8.conda.lock
+++ b/.github/locks/linux-64_test_lab3.5_py3.8.conda.lock
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diff --git a/.github/locks/linux-64_test_lab3.6_py3.11.conda.lock b/.github/locks/linux-64_test_lab3.6_py3.11.conda.lock
index 98b4f493..38db92f6 100644
--- a/.github/locks/linux-64_test_lab3.6_py3.11.conda.lock
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diff --git a/.github/locks/linux-64_test_lab3.6_py3.8.conda.lock b/.github/locks/linux-64_test_lab3.6_py3.8.conda.lock
index 96b2f930..337285af 100644
--- a/.github/locks/linux-64_test_lab3.6_py3.8.conda.lock
+++ b/.github/locks/linux-64_test_lab3.6_py3.8.conda.lock
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diff --git a/.github/locks/osx-64_test_lab3.5_py3.8.conda.lock b/.github/locks/osx-64_test_lab3.5_py3.8.conda.lock
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diff --git a/.github/locks/osx-64_test_lab3.6_py3.11.conda.lock b/.github/locks/osx-64_test_lab3.6_py3.11.conda.lock
index 75a6d6e7..8b0051e1 100644
--- a/.github/locks/osx-64_test_lab3.6_py3.11.conda.lock
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diff --git a/.github/locks/win-64_test_lab3.5_py3.8.conda.lock b/.github/locks/win-64_test_lab3.5_py3.8.conda.lock
index 52ba0cd8..0c3d7dd3 100644
--- a/.github/locks/win-64_test_lab3.5_py3.8.conda.lock
+++ b/.github/locks/win-64_test_lab3.5_py3.8.conda.lock
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diff --git a/.github/locks/win-64_test_lab3.6_py3.11.conda.lock b/.github/locks/win-64_test_lab3.6_py3.11.conda.lock
index 8969df9c..33737dcb 100644
--- a/.github/locks/win-64_test_lab3.6_py3.11.conda.lock
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+https://conda.anaconda.org/conda-forge/noarch/robotframework-tidy-4.4.0-pyhd8ed1ab_0.conda#e27606b585fe4780ffc3827f83c26b57
 https://conda.anaconda.org/conda-forge/noarch/selenium-4.9.1-pyhd8ed1ab_0.conda#b3daee1b09922328cfa11b4761cf1adf
 https://conda.anaconda.org/conda-forge/noarch/ipython-8.14.0-pyh08f2357_0.conda#1fc684c1de5475383790ada5627c5430
 https://conda.anaconda.org/conda-forge/noarch/nbclient-0.8.0-pyhd8ed1ab_0.conda#e78da91cf428faaf05701ce8cc8f2f9b
@@ -232,7 +228,7 @@ https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.23.3-pyh6817e22_0.cond
 https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.6.0-pyhd8ed1ab_0.conda#879782bde4bbdb4c7b5d4054504a20d5
 https://conda.anaconda.org/conda-forge/label/robotframework_jupyterlibrary_alpha/noarch/robotframework-jupyterlibrary-0.5.0a0-pyhbd01f6c_0.conda#ddf6944afacd8f2e8a87d0c6aa141f93
 https://conda.anaconda.org/conda-forge/noarch/ipywidgets-8.0.6-pyhd8ed1ab_0.conda#68627a08556e4a273e4c7bfc84251457
-https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.6.0-pyhd8ed1ab_0.conda#39fd52b0fcb2fb52bac47a1419bf09bd
+https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.7.0-pyhd8ed1ab_0.conda#7488cd1f4d35a2af96faa765b7e5b2f0
 https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.6.0-pyhd8ed1ab_0.conda#e8172ca42f2869bb90185c9356899e81
 https://conda.anaconda.org/conda-forge/noarch/bqplot-0.12.39-pyhd8ed1ab_0.conda#f7455264455f8b225034af96269ca78d
 https://conda.anaconda.org/conda-forge/noarch/ipylab-0.7.1-pyhd8ed1ab_1.conda#fd19f67b01ac2ed4d6354c8ae732f889
diff --git a/.github/locks/win-64_test_lab3.6_py3.8.conda.lock b/.github/locks/win-64_test_lab3.6_py3.8.conda.lock
index 488b0eed..b96a5875 100644
--- a/.github/locks/win-64_test_lab3.6_py3.8.conda.lock
+++ b/.github/locks/win-64_test_lab3.6_py3.8.conda.lock
@@ -45,13 +45,12 @@ https://conda.anaconda.org/conda-forge/win-64/pandoc-3.1.3-h57928b3_0.conda#5185
 https://conda.anaconda.org/conda-forge/win-64/python_abi-3.8-3_cp38.conda#c6df946723dadd4a5830a8ff8c6b9a20
 https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.22621.0-h57928b3_0.tar.bz2#72608f6cd3e5898229c3ea16deb1ac43
 https://conda.anaconda.org/conda-forge/win-64/winpty-0.4.3-4.tar.bz2#1cee351bf20b830d991dbe0bc8cd7dfe
-https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.36.32532-hfdfe4a8_16.conda#4a7ead1af5bfda5dc94ef403d8814eeb
-https://conda.anaconda.org/conda-forge/win-64/vc-14.3-h64f974e_16.conda#ae80d948fa55a0cc6010bd0df91797a4
-https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.36.32532-h05e6639_16.conda#d3efb6bb0e11b1f97cf313413d80f027
+https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.36.32532-hfdfe4a8_17.conda#91c1ecaf3996889532fc0456178b1058
+https://conda.anaconda.org/conda-forge/win-64/vc-14.3-h64f974e_17.conda#67ff6791f235bb606659bf2a5c169191
+https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.36.32532-h05e6639_17.conda#4618046c39f7c81861e53ded842e738a
 https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h8ffe710_4.tar.bz2#7c03c66026944073040cb19a4f3ec3c9
 https://conda.anaconda.org/conda-forge/win-64/firefox-102.12.0esr-h63175ca_0.conda#88cc5a7779722782ce0a5b2658188153
 https://conda.anaconda.org/conda-forge/win-64/geckodriver-0.33.0-h611cf2b_0.conda#e5ad5ec7f6140c1fdf9bd2a7927a4f91
-https://conda.anaconda.org/conda-forge/win-64/libbrotlicommon-1.0.9-hcfcfb64_8.tar.bz2#e8078e37208cd7d3e1eb5053f370ded8
 https://conda.anaconda.org/conda-forge/win-64/libffi-3.4.2-h8ffe710_5.tar.bz2#2c96d1b6915b408893f9472569dee135
 https://conda.anaconda.org/conda-forge/win-64/libiconv-1.17-h8ffe710_0.tar.bz2#050119977a86e4856f0416e2edcf81bb
 https://conda.anaconda.org/conda-forge/win-64/libsodium-1.0.18-h8d14728_1.tar.bz2#5c1fb45b5e2912c19098750ae8a32604
@@ -62,8 +61,6 @@ https://conda.anaconda.org/conda-forge/win-64/openssl-3.1.1-hcfcfb64_1.conda#1d9
 https://conda.anaconda.org/conda-forge/win-64/tk-8.6.12-h8ffe710_0.tar.bz2#c69a5047cc9291ae40afd4a1ad6f0c0f
 https://conda.anaconda.org/conda-forge/win-64/xz-5.2.6-h8d14728_0.tar.bz2#515d77642eaa3639413c6b1bc3f94219
 https://conda.anaconda.org/conda-forge/win-64/yaml-0.2.5-h8ffe710_2.tar.bz2#adbfb9f45d1004a26763652246a33764
-https://conda.anaconda.org/conda-forge/win-64/libbrotlidec-1.0.9-hcfcfb64_8.tar.bz2#99839d9d81f33afa173c0fa82a702038
-https://conda.anaconda.org/conda-forge/win-64/libbrotlienc-1.0.9-hcfcfb64_8.tar.bz2#88e62627120c20289bf8982b15e0a6a1
 https://conda.anaconda.org/conda-forge/win-64/libflang-5.0.0-h6538335_20180525.tar.bz2#9f473a344e18668e99a93f7e21a54b69
 https://conda.anaconda.org/conda-forge/win-64/libxml2-2.11.4-hc3477c8_0.conda#586627982a63815637f871a6360fe3f9
 https://conda.anaconda.org/conda-forge/win-64/python-3.8.17-h4de0772_0_cpython.conda#be2296eaf70eeb1cb83c4e95136e694a
@@ -73,7 +70,7 @@ https://conda.anaconda.org/conda-forge/noarch/async_generator-1.10-py_0.tar.bz2#
 https://conda.anaconda.org/conda-forge/noarch/attrs-23.1.0-pyh71513ae_1.conda#3edfead7cedd1ab4400a6c588f3e75f8
 https://conda.anaconda.org/conda-forge/noarch/backcall-0.2.0-pyh9f0ad1d_0.tar.bz2#6006a6d08a3fa99268a2681c7fb55213
 https://conda.anaconda.org/conda-forge/noarch/backports-1.0-pyhd8ed1ab_3.conda#54ca2e08b3220c148a1d8329c2678e02
-https://conda.anaconda.org/conda-forge/win-64/brotli-bin-1.0.9-hcfcfb64_8.tar.bz2#e18b70ed349d96086fd60a9c642b1b58
+https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.0.9-py38hd3f51b4_9.conda#b451fb48b1337ceb34b7b39de0bc09c8
 https://conda.anaconda.org/conda-forge/noarch/certifi-2023.5.7-pyhd8ed1ab_0.conda#5d1b71c942b8421285934dad1d891ebc
 https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.1.0-pyhd8ed1ab_0.conda#7fcff9f6f123696e940bda77bd4d6551
 https://conda.anaconda.org/conda-forge/noarch/cloudpickle-2.2.1-pyhd8ed1ab_0.conda#b325bfc4cff7d7f8a868f1f7ecc4ed16
@@ -135,7 +132,7 @@ https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2#f
 https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2#5844808ffab9ebdb694585b50ba02a96
 https://conda.anaconda.org/conda-forge/win-64/tornado-6.3.2-py38h91455d4_0.conda#3e625e06e8892112acb47695eaf22b47
 https://conda.anaconda.org/conda-forge/noarch/traitlets-5.9.0-pyhd8ed1ab_0.conda#d0b4f5c87cd35ac3fb3d47b223263a64
-https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.6.3-pyha770c72_0.conda#4a3014a4d107d15475d106b751c4e352
+https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.7.0-pyha770c72_0.conda#c76ebd4731d3668ba16975a30ef19d0d
 https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2#eb67e3cace64c66233e2d35949e20f92
 https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-py_1.tar.bz2#3563be4c5611a44210d9ba0c16113136
 https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.6.1-pyhd8ed1ab_0.conda#c34d9325a609381a0b0e8a5b4f325147
@@ -150,7 +147,6 @@ https://conda.anaconda.org/conda-forge/noarch/babel-2.12.1-pyhd8ed1ab_1.conda#ac
 https://conda.anaconda.org/conda-forge/noarch/backports.functools_lru_cache-1.6.5-pyhd8ed1ab_0.conda#6b1b907661838a75d067a22f87996b2e
 https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.2-pyha770c72_0.conda#a362ff7d976217f8fa78c0f1c4f59717
 https://conda.anaconda.org/conda-forge/noarch/bleach-6.0.0-pyhd8ed1ab_0.conda#d48b143d01385872a88ef8417e96c30e
-https://conda.anaconda.org/conda-forge/win-64/brotli-1.0.9-hcfcfb64_8.tar.bz2#2e661f21e1741c11506bdc7226e6b0bc
 https://conda.anaconda.org/conda-forge/win-64/cffi-1.15.1-py38h57701bc_3.conda#9b94af390cfdf924a063302a2ddb3860
 https://conda.anaconda.org/conda-forge/noarch/click-8.1.3-win_pyhd8ed1ab_2.tar.bz2#6b58680207b526c42dcff68b543803dd
 https://conda.anaconda.org/conda-forge/noarch/comm-0.1.3-pyhd8ed1ab_0.conda#168ae0f82cdf7505048e81054c7354e4
@@ -180,7 +176,7 @@ https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.2-pyh08f2357_0.cond
 https://conda.anaconda.org/conda-forge/noarch/terminado-0.17.0-pyh08f2357_0.tar.bz2#0152a609d5748ed9887d195b1e61a6c9
 https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.2.1-pyhd8ed1ab_0.tar.bz2#7234c9eefff659501cd2fe0d2ede4d48
 https://conda.anaconda.org/conda-forge/noarch/traittypes-0.2.1-pyh9f0ad1d_2.tar.bz2#7d32ccb5334a6822c28af3e864550618
-https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.6.3-hd8ed1ab_0.conda#3876f650ed7d0f95d70fa4b647621909
+https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.7.0-hd8ed1ab_0.conda#37761dccc7ca8eaa08c60c4f62eb2dcc
 https://conda.anaconda.org/conda-forge/noarch/aiosqlite-0.19.0-pyhd8ed1ab_0.conda#c60a47f9f29057417165a8af579396a8
 https://conda.anaconda.org/conda-forge/win-64/argon2-cffi-bindings-21.2.0-py38h91455d4_3.tar.bz2#a262d1c7aaf5a93a02b33dd985c27831
 https://conda.anaconda.org/conda-forge/noarch/doit-0.36.0-pyhd8ed1ab_0.tar.bz2#fc5e53d070f1ee7bb38c2ece282dcb82
@@ -200,7 +196,7 @@ https://conda.anaconda.org/conda-forge/noarch/robotframework-pabot-2.16.0-pyhd8e
 https://conda.anaconda.org/conda-forge/noarch/robotframework-robocop-3.2.1-pyhd8ed1ab_0.conda#cfc3018a9b4411c1cb3efe1e8b5c435b
 https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda#e7df0fdd404616638df5ece6e69ba7af
 https://conda.anaconda.org/conda-forge/win-64/trio-0.22.0-py38haa244fe_1.tar.bz2#a67c458650b93acbb664fc359c23cef2
-https://conda.anaconda.org/conda-forge/noarch/urllib3-2.0.3-pyhd8ed1ab_0.conda#ae465d0fbf9f1979cb2d8d4043d885e2
+https://conda.anaconda.org/conda-forge/noarch/urllib3-2.0.3-pyhd8ed1ab_1.conda#89efeecbb24c62e2f1ed0b8ca959ec69
 https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.6-pyhd8ed1ab_0.conda#078979d33523cb477bd1916ce41aacc9
 https://conda.anaconda.org/conda-forge/noarch/wsproto-1.2.0-pyhd8ed1ab_0.tar.bz2#00ba804b54f451d102f6a7615f08470d
 https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-21.3.0-pyhd8ed1ab_0.tar.bz2#a0b402db58f73aaab8ee0ca1025a362e
@@ -208,7 +204,7 @@ https://conda.anaconda.org/conda-forge/noarch/doit-with-toml-0.36.0-pyhd8ed1ab_0
 https://conda.anaconda.org/conda-forge/win-64/jupyter_core-5.3.1-py38haa244fe_0.conda#15542a4c949a848b768a9e3b8ce3dd30
 https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.6.3-pyhd8ed1ab_0.conda#d98c5196ab6ffeb0c2feca2912801353
 https://conda.anaconda.org/conda-forge/noarch/jupyter_ydoc-0.2.4-pyhd8ed1ab_0.conda#be5d4633c1cc40343ed417153a184006
-https://conda.anaconda.org/conda-forge/win-64/numpy-1.24.3-py38h1d91fd2_0.conda#2768aa0aa44da206dc5fc3d1ba6ad857
+https://conda.anaconda.org/conda-forge/win-64/numpy-1.24.4-py38h1d91fd2_0.conda#bb13551a7913ff4de74df687f03ba14e
 https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.38-pyha770c72_0.conda#59ba1bf8ea558751a0d391249a248765
 https://conda.anaconda.org/conda-forge/noarch/pytest-html-3.2.0-pyhd8ed1ab_1.tar.bz2#d5c7a941dfbceaab4b172a56d7918eb0
 https://conda.anaconda.org/conda-forge/noarch/pytest-json-report-1.5.0-pyhd8ed1ab_0.tar.bz2#837e335fa428cf7c784ee2e80594506c
@@ -221,7 +217,7 @@ https://conda.anaconda.org/conda-forge/noarch/nbformat-5.9.0-pyhd8ed1ab_0.conda#
 https://conda.anaconda.org/conda-forge/win-64/numcodecs-0.11.0-py38hd3f51b4_1.conda#5acbc1656f223965aab612e43e960b13
 https://conda.anaconda.org/conda-forge/win-64/pandas-1.5.3-py38h5846ac1_1.conda#3a7a1e5c4431a1020b6b7769edf1ccdc
 https://conda.anaconda.org/conda-forge/noarch/prompt_toolkit-3.0.38-hd8ed1ab_0.conda#45b74f64d8808eda7e6f6e6b1d641fd2
-https://conda.anaconda.org/conda-forge/noarch/robotframework-tidy-4.3.0-pyhd8ed1ab_0.conda#f156c895a6c4d63805bb3999f0544fe8
+https://conda.anaconda.org/conda-forge/noarch/robotframework-tidy-4.4.0-pyhd8ed1ab_0.conda#e27606b585fe4780ffc3827f83c26b57
 https://conda.anaconda.org/conda-forge/noarch/selenium-4.9.1-pyhd8ed1ab_0.conda#b3daee1b09922328cfa11b4761cf1adf
 https://conda.anaconda.org/conda-forge/noarch/ipython-8.12.2-pyh08f2357_0.conda#f289f9dc26526b8bd9f5845486f53a4d
 https://conda.anaconda.org/conda-forge/noarch/nbclient-0.8.0-pyhd8ed1ab_0.conda#e78da91cf428faaf05701ce8cc8f2f9b
@@ -230,7 +226,7 @@ https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.23.3-pyh6817e22_0.cond
 https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.6.0-pyhd8ed1ab_0.conda#879782bde4bbdb4c7b5d4054504a20d5
 https://conda.anaconda.org/conda-forge/label/robotframework_jupyterlibrary_alpha/noarch/robotframework-jupyterlibrary-0.5.0a0-pyhbd01f6c_0.conda#ddf6944afacd8f2e8a87d0c6aa141f93
 https://conda.anaconda.org/conda-forge/noarch/ipywidgets-8.0.6-pyhd8ed1ab_0.conda#68627a08556e4a273e4c7bfc84251457
-https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.6.0-pyhd8ed1ab_0.conda#39fd52b0fcb2fb52bac47a1419bf09bd
+https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.7.0-pyhd8ed1ab_0.conda#7488cd1f4d35a2af96faa765b7e5b2f0
 https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.6.0-pyhd8ed1ab_0.conda#e8172ca42f2869bb90185c9356899e81
 https://conda.anaconda.org/conda-forge/noarch/bqplot-0.12.39-pyhd8ed1ab_0.conda#f7455264455f8b225034af96269ca78d
 https://conda.anaconda.org/conda-forge/noarch/ipylab-0.7.1-pyhd8ed1ab_1.conda#fd19f67b01ac2ed4d6354c8ae732f889
diff --git a/atest/Regression/103_2D_Not_Text.robot b/atest/Regression/103_2D_Not_Text.robot
new file mode 100644
index 00000000..48744fc7
--- /dev/null
+++ b/atest/Regression/103_2D_Not_Text.robot
@@ -0,0 +1,34 @@
+*** Settings ***
+Resource            ../_resources/keywords/Browser.robot
+Resource            ../_resources/keywords/Lab.robot
+Resource            ../_resources/keywords/IPyForceGraph.robot
+Resource            ../_resources/keywords/Regression.robot
+Resource            ../_resources/keywords/Screenshots.robot
+Library             Collections
+
+Test Teardown       Clean up after IPyForceGraph Example
+
+Test Tags           regression    gh:103
+
+
+*** Test Cases ***
+Non-text 2D text is displayed
+    [Documentation]    Ensure non-text values can be provided to 2d text renderer.
+    ${frame} =    Set Variable    css:${IPYFORCEGRAPH FRAME}
+    ${screens} =    Prepare Regression Test    gh-103
+    ${transparent} =    Get Element Screenshot Size    ${frame}    ${screens}    01-transparent.png
+
+    Add And Run JupyterLab Code Cell    task \= asyncio.create_task(test_async_text())
+    Wait Until Page Contains    OK TEXT
+    Add And Run JupyterLab Code Cell    task.result()
+    ${non_text} =    Get Element Screenshot Size    ${frame}    ${screens}    02-text.png
+    Page Should Not Contain Standard Errors
+    Should Be True Or Screenshot    ${non_text} > ${transparent}    03-text-bigger-than-transparent.png
+
+    Add And Run JupyterLab Code Cell    task \= asyncio.create_task(test_async_non_text())
+    Wait Until Page Contains    OK NON-TEXT
+    ${non_text} =    Get Element Screenshot Size    ${frame}    ${screens}    04-non-text.png
+    Page Should Not Contain Standard Errors
+    Should Be True Or Screenshot    ${non_text} > ${transparent}    05-non-text-bigger-than-transparent.png
+
+    Capture Page Screenshot    01-no-errors.png
diff --git a/atest/Regression/90_Preserved_ID_Order.robot b/atest/Regression/90_Preserved_ID_Order.robot
index 5bf9711f..80cd4934 100644
--- a/atest/Regression/90_Preserved_ID_Order.robot
+++ b/atest/Regression/90_Preserved_ID_Order.robot
@@ -2,15 +2,12 @@
 Resource            ../_resources/keywords/Browser.robot
 Resource            ../_resources/keywords/Lab.robot
 Resource            ../_resources/keywords/IPyForceGraph.robot
+Resource            ../_resources/keywords/Regression.robot
 Library             Collections
 
 Test Teardown       Clean up after IPyForceGraph Example
 
-Test Tags           gh:90    data:blocks
-
-
-*** Variables ***
-${SCREENS}      ${SCREENS ROOT}${/}regression
+Test Tags           regression    gh:90    data:blocks
 
 
 *** Test Cases ***
@@ -22,19 +19,3 @@ Numeric ID Ordering Is Preserved
     Add And Run JupyterLab Code Cell    task.result()
     Page Should Not Contain Standard Errors
     Capture Page Screenshot    01-no-errors.png
-
-
-*** Keywords ***
-Prepare Regression Test
-    [Documentation]    Prepare a single regression test case
-    [Arguments]    ${gh_issue}
-    Set Screenshot Directory    ${SCREENS}${/}${gh_issue}
-    ${text} =    Get File    ${IPYFORCEGRAPH_FIXTURES}${/}regression${/}${gh_issue}.py
-    ${files} =    Get All IPyForceGraph Data Paths
-    Copy Support Files    ${files}    ${/}datasets${/}
-    Launch A New JupyterLab Document
-    Set CodeMirror Value    .jp-CodeCell .CodeMirror    ${text.strip()}
-    Execute JupyterLab Command    Show Log Console
-    Execute JupyterLab Command    Run All Cells
-    Wait Until Force Graph Is Visible
-    Capture Page Screenshot    00-source.png
diff --git a/atest/_resources/fixtures/regression/gh-103.py b/atest/_resources/fixtures/regression/gh-103.py
new file mode 100644
index 00000000..1612776b
--- /dev/null
+++ b/atest/_resources/fixtures/regression/gh-103.py
@@ -0,0 +1,34 @@
+import json
+from pathlib import Path
+import asyncio
+from IPython.display import display
+import ipywidgets as W
+
+import ipyforcegraph.graphs as G
+import ipyforcegraph.behaviors.shapes as S
+import ipyforcegraph.behaviors as B
+
+non_text = S.Text(B.Column("non_text_value"))
+text = S.Text(B.Column("text_value"))
+ns = S.NodeShapes()
+
+fg = G.ForceGraph(
+    behaviors=[ns],
+    layout=dict(height="100%"),
+    default_node_color="rgba(0,0,0,0)"
+)
+fg.source.nodes = [{"id": 1, "text_value": "103", "non_text_value": 103}]
+
+test_result = W.HTML("ready")
+
+display(fg, test_result)
+
+async def test_async_non_text():
+    ns.shapes = [non_text]
+    await asyncio.sleep(0.5)
+    test_result.value = " ".join(["OK", "NON-TEXT"])
+
+async def test_async_text():
+    ns.shapes = [text]
+    await asyncio.sleep(0.5)
+    test_result.value = " ".join(["OK", "TEXT"])
diff --git a/atest/_resources/keywords/Regression.robot b/atest/_resources/keywords/Regression.robot
new file mode 100644
index 00000000..41525a57
--- /dev/null
+++ b/atest/_resources/keywords/Regression.robot
@@ -0,0 +1,23 @@
+*** Settings ***
+Documentation       Keywords for tests against python fixtures describing regressions.
+
+Resource            ./IPyForceGraph.robot
+Library             Collections
+
+
+*** Keywords ***
+Prepare Regression Test
+    [Documentation]    Prepare a single regression test case
+    [Arguments]    ${gh_issue}
+    ${screens} =    Set Variable    ${SCREENS ROOT}${/}regression${/}${gh_issue}
+    Set Screenshot Directory    ${screens}
+    ${text} =    Get File    ${IPYFORCEGRAPH_FIXTURES}${/}regression${/}${gh_issue}.py
+    ${files} =    Get All IPyForceGraph Data Paths
+    Copy Support Files    ${files}    ${/}datasets${/}
+    Launch A New JupyterLab Document
+    Set CodeMirror Value    .jp-CodeCell .CodeMirror    ${text.strip()}
+    Execute JupyterLab Command    Show Log Console
+    Execute JupyterLab Command    Run All Cells
+    Wait Until Force Graph Is Visible
+    Capture Page Screenshot    00-source.png
+    RETURN    ${screens}