Reduce the plot size by excluding plotlyjs

src/visualization/battery_consumption_rates_barchart.py

@@ -31,4 +31,4 @@ else:
     battery_data.set_index(["local_date"], inplace=True)
     battery_data = battery_data.resample("1D").asfreq().fillna(0).reset_index()
     plot = getBatteryConsumptionRatesBarChart(battery_data, pid)
-    pio.write_html(plot, file=snakemake.output[0], auto_open=False)
+    pio.write_html(plot, file=snakemake.output[0], auto_open=False, include_plotlyjs="cdn")

src/visualization/compliance_heatmap.py

@@ -21,7 +21,7 @@ def getComplianceHeatmap(dates, compliance_matrix, pid, output_path, bin_size):
                                      colorscale='Viridis',
                                      colorbar={'tick0': 0,'dtick': 1}))
     plot.update_layout(title="Compliance heatmap.<br>Five-minute bins showing how many sensors logged at least one row of data in that period for " + pid + "<br>Label: " + label + ", device_id: " + device_id)
-    pio.write_html(plot, file=output_path, auto_open=False)
+    pio.write_html(plot, file=output_path, auto_open=False, include_plotlyjs="cdn")
 
 # get current patient id
 pid = snakemake.params["pid"]

src/visualization/heatmap_rows.py

@@ -21,7 +21,7 @@ def getRowCountHeatmap(dates, row_count_per_bin, sensor_name, pid, output_path,
                                      y=[datetime.datetime.strftime(date, '%Y/%m/%d') for date in dates],
                                      colorscale="Viridis"))
     plot.update_layout(title="Row count heatmap for " + sensor_name + " of " + pid + "<br>Label: " + label + ", device_id: " + device_id)
-    pio.write_html(plot, file=output_path, auto_open=False)
+    pio.write_html(plot, file=output_path, auto_open=False, include_plotlyjs="cdn")
 
 
 

src/visualization/overall_compliance_heatmap.py

@@ -27,7 +27,7 @@ def getOverallComplianceHeatmap(sensors_with_data, valid_sensed_hours, last_seve
                                        showscale=True)
     plot.update_layout(title="Overall compliance heatmap for last seven days.<br>Bin's color shows how many sensors logged at least one row of data for that day.<br>Bin's text shows the valid hours of that day.(A valid hour has at least one row of any sensor in "+ str(min_bins_per_hour) +" out of " + str(int(60 / bin_size)) + " bins of " + str(bin_size) + " minutes)")
     plot["layout"]["xaxis"].update(side="bottom")
-    pio.write_html(plot, file=output_path, auto_open=False)
+    pio.write_html(plot, file=output_path, auto_open=False, include_plotlyjs="cdn")
 
 
 phone_sensed_bins = snakemake.input["phone_sensed_bins"]