Merge branch 'main' of https://git.wing.id.au/cal/plotbox

README.md

@@ -1,5 +1,9 @@
 # Plotbox
 
-A quick MatPlotLib data visualization tool
+A quick MatPlotLib data visualization tool, currently a little jank.
+
+First argument is the path to a CSV file, in the future more data formats are desired.
+
+Can run with uv `uv run plotbox .\IDCJAC0009_040976_1800_Data.csv` or once installed into an environment `python -m plotbox .\IDCJAC0009_040976_1800_Data.csv`
 
 Rainfall Data `IDCJAC0009_040976_1800_Data.csv` obtained from BOM (https://www.bom.gov.au/jsp/ncc/cdio/weatherData/av?p_nccObsCode=136&p_display_type=dailyDataFile&p_startYear=2025&p_c=-335807484&p_stn_num=040976) on the 2026-02-20

src/plotbox/plotbox.py

@@ -22,16 +22,19 @@ def main():
 
     data = {}
     numeric_headers = []
-    headers = np.genfromtxt(data_path, delimiter=",", skip_header=0, max_rows=1, dtype=str)
+    headers = np.genfromtxt(data_path, delimiter=",", skip_header=0, max_rows=1, dtype=str, comments="#")
     for i, header in enumerate(headers):
-        data[header] = np.genfromtxt(data_path, delimiter=",", skip_header=1, max_rows=None, dtype=float, usecols=(i,))
+        data[header] = np.genfromtxt(data_path, delimiter=",", skip_header=1, max_rows=None, comments="#", dtype=float, usecols=(i,))
 
         if np.isnan(data[header][0]):
-            data[header] = np.genfromtxt(data_path, delimiter=",", skip_header=1, max_rows=None, dtype=str, usecols=(i,))
+            data[header] = np.genfromtxt(data_path, delimiter=",", skip_header=1, max_rows=None, dtype=str, comments="#", usecols=(i,))
         else:
             numeric_headers.append(header)
 
-    data["Index"] = tuple(range(len(data[numeric_headers[0]])))
+    if len(numeric_headers) > 0:
+        data["Index"] = tuple(range(len(data[numeric_headers[0]])))
+    else:
+        data["Index"] = tuple(range(len(data[headers[0]])))
 
     fig, ax = plt.subplot_mosaic(
         [