如何用 plotly 可视化时间序列？

Question

I have a data set that contains two variables: clicks (object) and session_time (datetime64[ns]) .

I am trying to plot a time series by using plotly. But the output looks pretty weird and I could not find the reason.

Here is the code that I am trying to plot it:

import plotly.offline as pyo
import plotly.graph_objs as go
import numpy as numpy

trace = go.Scatter(x=list(df.session_time),
                   y=list(df.clicks), line=dict(color='red'))

dat = [trace]
layout = dict(
    title='Clicks on books',
    xaxis=dict(
        rangeselector=dict(
            buttons=list([
                dict(step='all')
            ])
        ),
        rangeslider=dict(
            visible = True
        ),
        type='date'
    )
)

fig = dict(data=dat, layout=layout)
pyo.iplot(fig)

And here the output is:

Any idea what I am missing?

Answer 1

go.Scatter is plotting your data as a scatterplot, and since your datetime data is out of order, it's plotting it out of order. After converting your session_time column to datetime, sorting it by

df.sort_values(by=['session_time'], inplace=True)

will resolve your issue. This may not be the most elegant solution, but it works.