binary load regression.

Author: Eli

.github/workflows/build_sphinx.yml

@@ -58,9 +58,13 @@ jobs:
           import sys, subprocess
           try:
               import tomllib   # py>=3.11
+              with open("pyproject.toml", "rb") as f:  # NOTE: use load() with binary file
+              return tomllib.load(f)
           except ModuleNotFoundError:
               subprocess.check_call([sys.executable, "-m", "pip", "install", "tomli"])
               import tomli as tomllib
+              with open("pyproject.toml", "rb") as f:
+                  return tomllib.load(f)
         
           NAME_MAP = {
               "Pillow": "pillow",

schimpy/station.py

@@ -626,7 +626,7 @@ def station_subset(
        column called "alias" and this will become the label used.
 
      extract_freq : str or pd.tseries.TimeOffset
-       Frequency to extract ... this allows some economies if you want, say, 15min data. Use pandas freq string such as '15T' for 15min
+       Frequency to extract. This allows some economies if you want, say, 15min data. Use pandas freq string such as '15T' for 15min
 
      convert: str or function
         A small number of conversions are supported ("ft", "ec" for uS/cm, "cfs" for flow)