I want to plot histogram, however, there is problem for yaxis scale. This is the first time I use plotly
If you expect a helpful answer you will need to explain more precisely what you aim to achieve. By the looks of it, I am not sure if you want to make a histogram or bar chart. The best would be to provide the source code.
Some docs about bar charts and histograms:
I am sorry for the confusion. I am trying to plot a histogram. Which can plot for positive and negative words. It is like a sentiment analysis. I am reading multiple text file, from the text file, there is some functions that i made to count the positive and negative words. But for now, i only want to read for only one text file, the problem now is the scale of the y axis.
i is the array from previous function.
def count(i, positive, negative):
sentim = [“Positive”]
val = 
val2 = 
totalP = 0
totalN = 0
for k in i:
data = [
marker = dict(
go.Histogram( x=sentim2, y=val2, name= "Negative", marker=dict( color='#EB89B5' ) ) ] layout = go.Layout( yaxis = dict(autorange=True), bargap = 0, bargroupgap = 0, width = 200 ) fig = go.Figure(data=data, layout=layout) py.plot(fig, filename='Histogram')
Hi @aqiff12, welcome to the forums!
To make it easier for folks to help you out, please put your code in a fenced code black (See https://help.github.com/en/articles/creating-and-highlighting-code-blocks) and include your python imports so that it’s possible for others to copy and paste the code black and run it.
As a general comment, if you are computing the counts of “positive” and “negative” words yourself, then you’ll want to use a
bar trace type. The
histogram trace type is used if you want plotly to perform the aggregation (counts) for you.
huh I don’t really understand,
the first picture is what I get, then the second is what I wanted but ! i only get the second one after I changed it manually in the editor of plotly. I use lots of import, and there will be lots text file if I want to put my code here.
def count(i, positive, negative, posArr, negArr): totalP = 0 totalN = 0 totalP += positive totalN += negative posArr.append(totalP) negArr.append(totalN) print(posArr) print(negArr) pos = go.Histogram(opacity = 0.75,x=posArr) neg = go.Histogram(opacity=0.75,x=negArr) data=[pos,neg] layout = go.Layout(barmode="overlay") fig = go.Figure(data=data, layout=layout) py.plot(fig, filename='Overlaid Histogram', auto_open=True)
go.Bar. For the bar trace, I think you’ll need to change