Trouble with formatting X axis labels in HighCharts - pandas

Question

I've been trying to figure this out for a day or two. I'm pretty sure I've typed the exact code from the tutorial I've been watching, but my x axis labels are numbers going from 0 to 1200 in increments of 100. They should be a list of dates provided by the hc.options.xAxis.catagories variable near the bottom of the code. It was my understanding creating this line would create the attribute 'catagories' and fill the x axis labels. I've tried hacking about in the javascript to work around, but to no avail. Can anyone see the issue?
import justpy as jp
import pandas as pd
from datetime import datetime
from pytz import utc
data=pd.read_csv('reviews.csv',parse_dates=['Timestamp'])
data['Day']=data['Timestamp'].dt.date
day_average=data.groupby(['Day']).mean()
chart_def="""
{
chart: {
type: 'spline',
inverted: false
},
title: {
text: 'Atmosphere Temperature by Altitude'
},
subtitle: {
text: 'According to the Standard Atmosphere Model'
},
xAxis: {
reversed: false,
title: {
enabled: true,
text: 'Altitude'
},
labels: {
format: '{value} km'
},
accessibility: {
rangeDescription: 'Range: 0 to 80 km.'
},
maxPadding: 0.05,
showLastLabel: true
},
yAxis: {
title: {
text: 'Temperature'
},
labels: {
format: '{value}°'
},
accessibility: {
rangeDescription: 'Range: -90°C to 20°C.'
},
lineWidth: 2
},
legend: {
enabled: false
},
tooltip: {
headerFormat: '<b>{series.name}</b><br/>',
pointFormat: '{point.x} km: {point.y}°C'
},
plotOptions: {
spline: {
marker: {
enable: false
}
}
},
series: [{
name: 'Temperature',
data: [[0, 15], [10, -50], [20, -56.5], [30, -46.5], [40, -22.1],
[50, -2.5], [60, -27.7], [70, -55.7], [80, -76.5]]
}]
}
"""
def app():
wp=jp.QuasarPage()
h1=jp.QDiv(a=wp, text='Analysis of Course Reviews',classes='text-h3 text-center q-pa-md')
p1=jp.QDiv(a=wp,text="These graphs represent course reviews analysis")
hc=jp.HighCharts(a=wp, options=chart_def)
hc.options.title.text='Average rating by Day'
hc.options.xAxis.catagories = day_average.index
hc.options.series[0].data=list(day_average['Rating'])
return wp
jp.justpy(app)