Pick categories of charts in HTML - plot

Question

I am plotting my benchmark tests with plotly and the results look as expected:
This is just a preliminary view as the rest of the data is still calculated. Yet it's obvious already that the current plotting doesn't make too much sense as there will be by far more plotted data in different segments (10-100,100-1000,1000+). As here the smaller data is just not seen any more (if not zoomed in)
Is there a proper way to set the displayed bars (by definition of groups?)?
There is apparently a solution with Dash (https://community.plotly.com/t/how-can-i-select-multiple-options-to-pick-from-dropdown-as-a-group/60482) which seems to be what I am looking for but it's not an independent HTML-File which can be sent and/or exported.
Alternatively I thought about displaying it in log, but the result is irritating as it doesn't really show what I'd like to display.
This code here works and gives the result shown:
if __name__ == '__main__':
filep="Tests/10k-node-test/"
data=[]
quantities=[]
for p1 in next(os.walk(filep))[1]:
quantities.append(p1)
df = pd.read_csv(filep+p1+'/'+"timing.csv")
for index, row in df.iterrows():
if index>=2:
if index%2==0:
val=row[2]
else:
val=row[2]-val
data.append([p1,row[1],val])
df = pd.DataFrame(data, columns=["Records","Iteration","Insertion Time"])
fig = px.bar(df, x="Records", y="Insertion Time",
hover_data=["Records","Iteration","Insertion Time"], color="Insertion Time",
height=400,
log_y=True)
fig.update_layout(barmode='stack', xaxis={'categoryorder':'total ascending'})
fig.write_html("plotlye.html")
The data-frame looks like this:
Records Iteration Insertion Time
0 250 3 1.137531
1 250 4 1.137239
2 250 5 1.146533
3 250 6 1.131248
4 250 7 1.123308
.. ... ... ...
189 10 95 0.123577
190 10 96 0.131645
191 10 97 0.122587
192 10 98 0.124850
193 10 99 0.126864
I am not tied to plotly, but so far it returned what I desired - just the fine-tuning is not really what I'm lacking off. If there are alternatives I'd be open to that too, it should just convey my benchmarking-results in a proper way.