search

bambinos / bambi

BAyesian Model-Building Interface (Bambi) in Python.
https://bambinos.github.io/bambi/
MIT License
1.06k stars 121 forks source link

az.plot_trace issue with categorical variable in Bambi formula model: ValueError: assignment destination is read-only #794

Closed nickeubank closed 5 months ago

nickeubank commented 5 months ago

When fitting a model with a categorical variable, I'm getting an error trying to run plot_trace. I don't have issues with plot_trace when doing examples like the sleep study example on the bambi home page, but I do with data I'm trying to analyze. Here's a small MWE that's just a small sample of data I'm using:

data = pd.DataFrame(
    {
        "sales": [
            199.41,
            339.62,
            172.97,
            196.16,
            344.65,
            325.23,
            215.04,
            199.00,
            211.98,
            380.36,
        ],
        "group": [9, 3, 1, 5, 3, 3, 5, 8, 5, 3],
        "treated": [0, 0, 1, 0, 0, 0, 1, 1, 0, 1],
    }
)
data["group"] = pd.Categorical(data["group"])
model = bmb.Model("sales ~ treated + group", data)
results = model.fit(draws=1000, chains=4)
az.plot_trace(results)

Gets me this error:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[22], [line 22](vscode-notebook-cell:?execution_count=22&line=22)
     [20](vscode-notebook-cell:?execution_count=22&line=20) model = bmb.Model("sales ~ treated + group", data)
     [21](vscode-notebook-cell:?execution_count=22&line=21) results = model.fit(draws=1000, chains=4)
---> [22](vscode-notebook-cell:?execution_count=22&line=22) az.plot_trace(results)

File [~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/traceplot.py:270](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/traceplot.py:270), in plot_trace(data, var_names, filter_vars, transform, coords, divergences, kind, figsize, rug, lines, circ_var_names, circ_var_units, compact, compact_prop, combined, chain_prop, legend, plot_kwargs, fill_kwargs, rug_kwargs, hist_kwargs, trace_kwargs, rank_kwargs, labeller, axes, backend, backend_config, backend_kwargs, show)
    [267](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/traceplot.py:267) backend = backend.lower()
    [269](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/traceplot.py:269) plot = get_plotting_function("plot_trace", "traceplot", backend)
--> [270](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/traceplot.py:270) axes = plot(**trace_plot_args)
    [272](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/traceplot.py:272) return axes

File [~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/backends/matplotlib/traceplot.py:274](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/backends/matplotlib/traceplot.py:274), in plot_trace(data, var_names, divergences, kind, figsize, rug, lines, circ_var_names, circ_var_units, compact, compact_prop, combined, chain_prop, legend, labeller, plot_kwargs, fill_kwargs, rug_kwargs, hist_kwargs, trace_kwargs, rank_kwargs, plotters, divergence_data, axes, backend_kwargs, backend_config, show)
    [272](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/backends/matplotlib/traceplot.py:272) else:
    [273](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/backends/matplotlib/traceplot.py:273)     sub_data = data[var_name].sel(**selection)
--> [274](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/backends/matplotlib/traceplot.py:274)     legend_labels = format_coords_as_labels(sub_data, skip_dims=("chain", "draw"))
    [275](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/backends/matplotlib/traceplot.py:275)     legend_title = ", ".join(
    [276](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/backends/matplotlib/traceplot.py:276)         [
    [277](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/backends/matplotlib/traceplot.py:277)             f"{coord_name}"
   (...)
    [280](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/backends/matplotlib/traceplot.py:280)         ]
    [281](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/backends/matplotlib/traceplot.py:281)     )
    [282](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/backends/matplotlib/traceplot.py:282)     value = value.reshape((value.shape[0], value.shape[1], -1))

File [~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/plot_utils.py:249](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/plot_utils.py:249), in format_coords_as_labels(dataarray, skip_dims)
    [247](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/plot_utils.py:247)     coord_labels[:] = [fmt.format(*x) for x in coord_labels]
    [248](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/plot_utils.py:248) else:
--> [249](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/plot_utils.py:249)     coord_labels[:] = [f"{s}" for s in coord_labels]
    [250](https://file+.vscode-resource.vscode-cdn.net/Users/nce8/github/practicaldatascience_solutions/autograder_exercises/250_bayesian_notautograded_yet/~/opt/miniconda3/envs/bambi/lib/python3.11/site-packages/arviz/plots/plot_utils.py:250) return coord_labels

ValueError: assignment destination is read-only

I'm using:

Python 3.11.8 Bambi 0.13.0 Arxiv 0.17.1

tomicapretto commented 5 months ago

Hi!!

I'm using the same versions except from Bambi (which is the current dev version) and I can't reproduce this problem. Can you share the full traceback? Are you able to report the version of other dependencies? (pandas, numpy)

nickeubank commented 5 months ago

The full traceback is above. Here's the environment (just bambi, pandas, and statsmodels + deps, basically). I'm in vscode notebook, if you think that might matter. Mac OSX 13.6.2

# packages in environment at /Users/nce8/opt/miniconda3/envs/bambi:
#
# Name                    Version                   Build  Channel
accelerate                0.28.0             pyhd8ed1ab_0    conda-forge
appnope                   0.1.4              pyhd8ed1ab_0    conda-forge
arviz                     0.17.1             pyhd8ed1ab_0    conda-forge
asttokens                 2.4.1              pyhd8ed1ab_0    conda-forge
atk-1.0                   2.38.0               hcb7b3dd_1    conda-forge
bambi                     0.13.0             pyhd8ed1ab_0    conda-forge
blas                      2.121                  openblas    conda-forge
blas-devel                3.9.0           21_osxarm64_openblas    conda-forge
brotli                    1.1.0                hb547adb_1    conda-forge
brotli-bin                1.1.0                hb547adb_1    conda-forge
brotli-python             1.1.0           py311ha891d26_1    conda-forge
bzip2                     1.0.8                h93a5062_5    conda-forge
c-ares                    1.27.0               h93a5062_0    conda-forge
ca-certificates           2024.2.2             hf0a4a13_0    conda-forge
cached-property           1.5.2                hd8ed1ab_1    conda-forge
cached_property           1.5.2              pyha770c72_1    conda-forge
cachetools                5.3.3              pyhd8ed1ab_0    conda-forge
cairo                     1.18.0               hd1e100b_0    conda-forge
cctools_osx-arm64         986                  h62378fb_0    conda-forge
certifi                   2024.2.2           pyhd8ed1ab_0    conda-forge
charset-normalizer        3.3.2              pyhd8ed1ab_0    conda-forge
clang                     16.0.6               h30cc82d_6    conda-forge
clang-16                  16.0.6          default_he012953_6    conda-forge
clang_impl_osx-arm64      16.0.6              hc421ffc_11    conda-forge
clang_osx-arm64           16.0.6              h54d7cd3_11    conda-forge
clangxx                   16.0.6          default_h4cf2255_6    conda-forge
clangxx_impl_osx-arm64    16.0.6              hcd7bac0_11    conda-forge
clangxx_osx-arm64         16.0.6              h54d7cd3_11    conda-forge
cloudpickle               3.0.0              pyhd8ed1ab_0    conda-forge
colorama                  0.4.6              pyhd8ed1ab_0    conda-forge
comm                      0.2.2              pyhd8ed1ab_0    conda-forge
compiler-rt               16.0.6               h3808999_2    conda-forge
compiler-rt_osx-arm64     16.0.6               h3808999_2    conda-forge
cons                      0.4.6              pyhd8ed1ab_0    conda-forge
contourpy                 1.2.0           py311hd03642b_0    conda-forge
cycler                    0.12.1             pyhd8ed1ab_0    conda-forge
debugpy                   1.8.1           py311h92babd0_0    conda-forge
decorator                 5.1.1              pyhd8ed1ab_0    conda-forge
etuples                   0.3.9              pyhd8ed1ab_0    conda-forge
exceptiongroup            1.2.0              pyhd8ed1ab_2    conda-forge
executing                 2.0.1              pyhd8ed1ab_0    conda-forge
expat                     2.6.2                hebf3989_0    conda-forge
fastprogress              1.0.3              pyhd8ed1ab_0    conda-forge
filelock                  3.13.3             pyhd8ed1ab_0    conda-forge
font-ttf-dejavu-sans-mono 2.37                 hab24e00_0    conda-forge
font-ttf-inconsolata      3.000                h77eed37_0    conda-forge
font-ttf-source-code-pro  2.038                h77eed37_0    conda-forge
font-ttf-ubuntu           0.83                 h77eed37_1    conda-forge
fontconfig                2.14.2               h82840c6_0    conda-forge
fonts-conda-ecosystem     1                             0    conda-forge
fonts-conda-forge         1                             0    conda-forge
fonttools                 4.50.0          py311h05b510d_0    conda-forge
formulae                  0.5.3              pyhd8ed1ab_0    conda-forge
freetype                  2.12.1               hadb7bae_2    conda-forge
fribidi                   1.0.10               h27ca646_0    conda-forge
fsspec                    2024.3.1           pyhca7485f_0    conda-forge
gdk-pixbuf                2.42.10              hcea6d13_5    conda-forge
gettext                   0.21.1               h0186832_0    conda-forge
giflib                    5.2.1                h1a8c8d9_3    conda-forge
gmp                       6.3.0                hebf3989_1    conda-forge
gmpy2                     2.1.2           py311h2ba9262_1    conda-forge
graphite2                 1.3.13            h9f76cd9_1001    conda-forge
graphviz                  9.0.0                h3face73_1    conda-forge
gtk2                      2.24.33              h7895bb2_4    conda-forge
gts                       0.7.6                he42f4ea_4    conda-forge
h5netcdf                  1.3.0              pyhd8ed1ab_0    conda-forge
h5py                      3.10.0          nompi_py311hd00467f_101    conda-forge
harfbuzz                  8.3.0                h8f0ba13_0    conda-forge
hdf5                      1.14.3          nompi_h5bb55e9_100    conda-forge
huggingface_hub           0.22.0             pyhd8ed1ab_0    conda-forge
icu                       73.2                 hc8870d7_0    conda-forge
idna                      3.6                pyhd8ed1ab_0    conda-forge
importlib-metadata        7.1.0              pyha770c72_0    conda-forge
importlib_metadata        7.1.0                hd8ed1ab_0    conda-forge
ipykernel                 6.29.3             pyh3cd1d5f_0    conda-forge
ipython                   8.22.2             pyh707e725_0    conda-forge
jedi                      0.19.1             pyhd8ed1ab_0    conda-forge
jinja2                    3.1.3              pyhd8ed1ab_0    conda-forge
jupyter_client            8.6.1              pyhd8ed1ab_0    conda-forge
jupyter_core              5.7.2           py311h267d04e_0    conda-forge
kiwisolver                1.4.5           py311he4fd1f5_1    conda-forge
krb5                      1.21.2               h92f50d5_0    conda-forge
lcms2                     2.16                 ha0e7c42_0    conda-forge
ld64_osx-arm64            711                  ha4bd21c_0    conda-forge
lerc                      4.0.0                h9a09cb3_0    conda-forge
libabseil                 20230802.1      cxx17_h13dd4ca_0    conda-forge
libaec                    1.1.3                hebf3989_0    conda-forge
libblas                   3.9.0           21_osxarm64_openblas    conda-forge
libbrotlicommon           1.1.0                hb547adb_1    conda-forge
libbrotlidec              1.1.0                hb547adb_1    conda-forge
libbrotlienc              1.1.0                hb547adb_1    conda-forge
libcblas                  3.9.0           21_osxarm64_openblas    conda-forge
libclang-cpp16            16.0.6          default_he012953_6    conda-forge
libcurl                   8.6.0                h2d989ff_0    conda-forge
libcxx                    16.0.6               h4653b0c_0    conda-forge
libdeflate                1.20                 h93a5062_0    conda-forge
libedit                   3.1.20191231         hc8eb9b7_2    conda-forge
libev                     4.33                 h93a5062_2    conda-forge
libexpat                  2.6.2                hebf3989_0    conda-forge
libffi                    3.4.2                h3422bc3_5    conda-forge
libgd                     2.3.3                hfdf3952_9    conda-forge
libgfortran               5.0.0           13_2_0_hd922786_3    conda-forge
libgfortran5              13.2.0               hf226fd6_3    conda-forge
libglib                   2.80.0               hfc324ee_1    conda-forge
libiconv                  1.17                 h0d3ecfb_2    conda-forge
libjpeg-turbo             3.0.0                hb547adb_1    conda-forge
liblapack                 3.9.0           21_osxarm64_openblas    conda-forge
liblapacke                3.9.0           21_osxarm64_openblas    conda-forge
libllvm16                 16.0.6               haab561b_3    conda-forge
libnghttp2                1.58.0               ha4dd798_1    conda-forge
libopenblas               0.3.26          openmp_h6c19121_0    conda-forge
libpng                    1.6.43               h091b4b1_0    conda-forge
libprotobuf               4.25.1               h810fc01_2    conda-forge
librsvg                   2.56.3               h55a2576_1    conda-forge
libsodium                 1.0.18               h27ca646_1    conda-forge
libsqlite                 3.45.2               h091b4b1_0    conda-forge
libssh2                   1.11.0               h7a5bd25_0    conda-forge
libtiff                   4.6.0                h07db509_3    conda-forge
libtorch                  2.1.2           cpu_generic_hda0de89_3    conda-forge
libuv                     1.48.0               h93a5062_0    conda-forge
libwebp                   1.3.2                hf30222e_1    conda-forge
libwebp-base              1.3.2                hb547adb_0    conda-forge
libxcb                    1.15                 hf346824_0    conda-forge
libxml2                   2.12.6               h0d0cfa8_1    conda-forge
libzlib                   1.2.13               h53f4e23_5    conda-forge
llvm-openmp               18.1.2               hcd81f8e_0    conda-forge
llvm-tools                16.0.6               haab561b_3    conda-forge
logical-unification       0.4.6              pyhd8ed1ab_0    conda-forge
markupsafe                2.1.5           py311h05b510d_0    conda-forge
matplotlib-base           3.8.3           py311hb58f1d1_0    conda-forge
matplotlib-inline         0.1.6              pyhd8ed1ab_0    conda-forge
minikanren                1.0.3              pyhd8ed1ab_0    conda-forge
mpc                       1.3.1                h91ba8db_0    conda-forge
mpfr                      4.2.1                h9546428_0    conda-forge
mpmath                    1.3.0              pyhd8ed1ab_0    conda-forge
multipledispatch          0.6.0                      py_0    conda-forge
munkres                   1.1.4              pyh9f0ad1d_0    conda-forge
ncurses                   6.4.20240210         h078ce10_0    conda-forge
nest-asyncio              1.6.0              pyhd8ed1ab_0    conda-forge
networkx                  3.2.1              pyhd8ed1ab_0    conda-forge
nomkl                     1.0                  h5ca1d4c_0    conda-forge
numpy                     1.26.4          py311h7125741_0    conda-forge
openblas                  0.3.26          openmp_h55c453e_0    conda-forge
openjpeg                  2.5.2                h9f1df11_0    conda-forge
openssl                   3.2.1                h0d3ecfb_1    conda-forge
packaging                 24.0               pyhd8ed1ab_0    conda-forge
pandas                    2.2.1           py311hfbe21a1_0    conda-forge
pango                     1.52.1               hb067d4f_0    conda-forge
parso                     0.8.3              pyhd8ed1ab_0    conda-forge
patsy                     0.5.6              pyhd8ed1ab_0    conda-forge
pcre2                     10.43                h26f9a81_0    conda-forge
pexpect                   4.9.0              pyhd8ed1ab_0    conda-forge
pickleshare               0.7.5                   py_1003    conda-forge
pillow                    10.2.0          py311hb9c5795_0    conda-forge
pip                       24.0               pyhd8ed1ab_0    conda-forge
pixman                    0.43.4               hebf3989_0    conda-forge
platformdirs              4.2.0              pyhd8ed1ab_0    conda-forge
prompt-toolkit            3.0.42             pyha770c72_0    conda-forge
psutil                    5.9.8           py311h05b510d_0    conda-forge
pthread-stubs             0.4               h27ca646_1001    conda-forge
ptyprocess                0.7.0              pyhd3deb0d_0    conda-forge
pure_eval                 0.2.2              pyhd8ed1ab_0    conda-forge
pygments                  2.17.2             pyhd8ed1ab_0    conda-forge
pymc                      5.11.0               hd8ed1ab_0    conda-forge
pymc-base                 5.11.0             pyhd8ed1ab_0    conda-forge
pyparsing                 3.1.2              pyhd8ed1ab_0    conda-forge
pysocks                   1.7.1              pyha2e5f31_6    conda-forge
pytensor                  2.18.6          py311hbc2cede_0    conda-forge
pytensor-base             2.18.6          py311hfbe21a1_0    conda-forge
python                    3.11.8          hdf0ec26_0_cpython    conda-forge
python-dateutil           2.9.0              pyhd8ed1ab_0    conda-forge
python-graphviz           0.20.3             pyh717bed2_0    conda-forge
python-tzdata             2024.1             pyhd8ed1ab_0    conda-forge
python_abi                3.11                    4_cp311    conda-forge
pytorch                   2.1.2           cpu_generic_py311h38827da_3    conda-forge
pytz                      2024.1             pyhd8ed1ab_0    conda-forge
pyyaml                    6.0.1           py311heffc1b2_1    conda-forge
pyzmq                     25.1.2          py311h6727e71_0    conda-forge
readline                  8.2                  h92ec313_1    conda-forge
requests                  2.31.0             pyhd8ed1ab_0    conda-forge
safetensors               0.4.2           py311h94f323b_0    conda-forge
scipy                     1.12.0          py311h4f9446f_2    conda-forge
seaborn                   0.13.2               hd8ed1ab_0    conda-forge
seaborn-base              0.13.2             pyhd8ed1ab_0    conda-forge
setuptools                69.2.0             pyhd8ed1ab_0    conda-forge
sigtool                   0.1.3                h44b9a77_0    conda-forge
six                       1.16.0             pyh6c4a22f_0    conda-forge
sleef                     3.5.1                h156473d_2    conda-forge
stack_data                0.6.2              pyhd8ed1ab_0    conda-forge
statsmodels               0.14.1          py311h9ea6feb_0    conda-forge
sympy                     1.12            pypyh9d50eac_103    conda-forge
tapi                      1100.0.11            he4954df_0    conda-forge
tk                        8.6.13               h5083fa2_1    conda-forge
toolz                     0.12.1             pyhd8ed1ab_0    conda-forge
tornado                   6.4             py311h05b510d_0    conda-forge
tqdm                      4.66.2             pyhd8ed1ab_0    conda-forge
traitlets                 5.14.2             pyhd8ed1ab_0    conda-forge
typing-extensions         4.10.0               hd8ed1ab_0    conda-forge
typing_extensions         4.10.0             pyha770c72_0    conda-forge
tzdata                    2024a                h0c530f3_0    conda-forge
urllib3                   2.2.1              pyhd8ed1ab_0    conda-forge
wcwidth                   0.2.13             pyhd8ed1ab_0    conda-forge
wheel                     0.43.0             pyhd8ed1ab_0    conda-forge
xarray                    2024.2.0           pyhd8ed1ab_0    conda-forge
xarray-einstats           0.7.0              pyhd8ed1ab_0    conda-forge
xorg-libxau               1.0.11               hb547adb_0    conda-forge
xorg-libxdmcp             1.1.3                h27ca646_0    conda-forge
xz                        5.2.6                h57fd34a_0    conda-forge
yaml                      0.2.5                h3422bc3_2    conda-forge
zeromq                    4.3.5                hebf3989_1    conda-forge
zipp                      3.17.0             pyhd8ed1ab_0    conda-forge
zlib                      1.2.13               h53f4e23_5    conda-forge
zstd                      1.5.5                h4f39d0f_0    conda-forge
nickeubank commented 5 months ago

Huh, don't see it when I install and run in JupyterLab, seems VS Code specific.

tomicapretto commented 5 months ago

Do you know which version of VS Code you're using? I also use it and I never had this problem, but I had several issues with notebooks in VS Code so I wouldn't be surprised.

nickeubank commented 5 months ago

Hurrah! VS Code update fixed it. THanks @tomicapretto

tomicapretto commented 5 months ago

Amazing! @nickeubank