Show time on yaxis and start y-axis from 0

app.py

@@ -5,6 +5,7 @@ from flask import Flask, make_response, render_template, request, jsonify
 import jinja_partials
 from flask_htmx import HTMX
 import matplotlib.pyplot as plt
+import matplotlib.dates as mdates
 import os
 
 
@@ -157,17 +158,26 @@ def workout(user_id, workout_id):
                 y_values = [reading.rpm for reading in cadence_readings]
                 fig, ax = plt.subplots()
                 ax.plot(x_values, y_values)
-                # ax.set_xlabel('Time')
+                ax.set_xlabel('Time')
                 ax.set_ylabel('Cadence (RPM)')
 
                 # ax.set_title(
                 #    'Cadence Readings for Workout {}'.format(workout_id))
                 # Hide X and Y axes label marks
-                ax.xaxis.set_tick_params(labelbottom=False)
+                # ax.xaxis.set_tick_params(labelbottom=False)
                 # ax.yaxis.set_tick_params(labelleft=False)
                 # Hide X and Y axes tick marks
-                ax.set_xticks([])
+                # ax.set_xticks([])
                 # ax.set_yticks([])
+                # use formatters to specify major and minor ticks
+                # format date as hh:mm
+                ax.xaxis.set_major_formatter(mdates.DateFormatter("%H:%M"))
+                # ax.xaxis.set_major_formatter(mdates.DateFormatter("%Y-%m"))
+                # ax.xaxis.set_minor_formatter(mdates.DateFormatter("%Y-%m"))
+
+                # set the y-axis limits to start at 0
+                ax.set_ylim(bottom=0)
+
                 # Save the graph to a bytes buffer
                 buffer = io.BytesIO()
                 plt.savefig(buffer, format='png',