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Update interrupted time series notebook for PyMC v5 and Pandas compat… #831

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Update interrupted time series notebook for PyMC v5 and Pandas compat… #831

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Update interrupted time series notebook for PyMC v5 and Pandas compat…
Cassiebastress Jan 1, 2026
9476e9a
Rerun notebook sequentially and update watermark
Cassiebastress Jan 5, 2026
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285 changes: 116 additions & 169 deletions examples/causal_inference/interrupted_time_series.ipynb
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10 changes: 5 additions & 5 deletions examples/causal_inference/interrupted_time_series.myst.md
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Original file line number Diff line number Diff line change
Expand Up @@ -5,9 +5,9 @@ jupytext:
format_name: myst
format_version: 0.13
kernelspec:
display_name: pymc_env
display_name: Python (pymc-examples)
language: python
name: pymc_env
name: pymc-examples
---

(interrupted_time_series)=
Expand Down Expand Up @@ -121,7 +121,7 @@ treatment_time = "2017-01-01"
β0 = 0
β1 = 0.1
dates = pd.date_range(
start=pd.to_datetime("2010-01-01"), end=pd.to_datetime("2020-01-01"), freq="M"
start=pd.to_datetime("2010-01-01"), end=pd.to_datetime("2020-01-01"), freq="ME"
)
N = len(dates)

Expand Down Expand Up @@ -163,7 +163,7 @@ Here we build a simple linear model. Remember that we are building a model of th
```{code-cell} ipython3
with pm.Model() as model:
# observed predictors and outcome
time = pm.MutableData("time", pre["time"].to_numpy(), dims="obs_id")
time = pm.Data("time", pre["time"].to_numpy(), dims="obs_id")
# priors
beta0 = pm.Normal("beta0", 0, 1)
beta1 = pm.Normal("beta1", 0, 0.2)
Expand Down Expand Up @@ -354,7 +354,7 @@ There are of course many ways that the interrupted time series approach could be

```{code-cell} ipython3
%load_ext watermark
%watermark -n -u -v -iv -w -p pytensor,aeppl,xarray
%watermark -n -u -v -iv -w -p pytensor,xarray
```

:::{include} ../page_footer.md
Expand Down