Updated matplotlib content

Author: bjmorgan

CH40208/_toc.yml

@@ -54,7 +54,12 @@ parts:
         # - file: working_with_data/numpy/chemistry
         # - file: working_with_data/numpy/reference
         #
-      - file: working_with_data/plotting
+      - file: working_with_data/matplotlib/intro
+        sections:
+        - file: working_with_data/matplotlib/basics
+        - file: working_with_data/matplotlib/customisation
+        - file: working_with_data/matplotlib/plotting_data
+      - file: reference/latex
       - file: working_with_data/file_io
       - file: working_with_data/synoptic_exercises
         sections:

CH40208/working_with_data/matplotlib/basics.ipynb

@@ -0,0 +1,5 @@
+# Matplotlib
+
+When working with data in chemistry, you'll often need to visualise your results—whether that's plotting how concentration changes over time, comparing reaction rates under different conditions, or creating a calibration curve. Plots help you understand your data and communicate your findings clearly.
+
+Matplotlib is Python's main plotting library. It gives you the tools to create professional-looking figures directly from your NumPy arrays, making it straightforward to go from raw data to publication-quality plots.