DOC: Fix doc build

Author: bashtage

docs/source/contingency_tables.rst

@@ -50,6 +50,7 @@ contingency table cell counts:
     import statsmodels.api as sm
 
     df = sm.datasets.get_rdataset("Arthritis", "vcd").data
+    df.fillna({"Improved":"None"}, inplace=True)
 
     tab = pd.crosstab(df['Treatment'], df['Improved'])
     tab = tab.loc[:, ["None", "Some", "Marked"]]

docs/source/plots/stl_plot.py

@@ -1,3 +1,4 @@
+import numpy as np
 import matplotlib.pyplot as plt
 from pandas.plotting import register_matplotlib_converters
 
@@ -8,6 +9,6 @@
 data = co2.load().data
 data = data.resample('M').mean().ffill()
 
-res = STL(data).fit()
+res = STL(np.squeeze(data)).fit()
 res.plot()
 plt.show()

docs/source/treatment.rst

@@ -1,8 +1,10 @@
 
 .. module:: statsmodels.treatment
-.. currentmodule:: statsmodels.treatment
    :synopsis: Treatment Effect
 
+.. currentmodule:: statsmodels.treatment
+
+
 
 .. _othermod:
 

requirements-doc.txt

@@ -1,5 +1,7 @@
 # Requirements for doc build, in addition to requirements.txt
 sphinx>=5,<6
+# Avoid warnings which break Sphinx by pinning pandas
+pandas>=2.0,<2.1
 sphinx-material
 jupyter
 notebook
@@ -14,3 +16,4 @@ theano-pymc; os_name != "nt"
 pymc3; os_name != "nt"
 arviz; os_name != "nt"
 jinja2==3.0.3
+

statsmodels/datasets/danish_data/data.py

@@ -60,6 +60,11 @@ def load():
 
 def _get_data():
     data = du.load_csv(__file__, "data.csv")
+    for i, val in enumerate(data.period):
+        parts = val.split("Q")
+        month = (int(parts[1]) - 1) * 3 + 1
+
+        data.loc[data.index[i], "period"] = f"{parts[0]}-{month:02d}-01"
     data["period"] = pd.to_datetime(data.period)
     return data.set_index("period").astype(float)