Faulty shapes when axis type set to 'category'

[ghost]

Shapes seem buggy when displayed on a time series plot with axis type set to 'category' while it is working as expected when set to 'auto' (date index).

If you zoom on the shape, you will clearly see that it is not what you intended to plot: it draws a rectangle instead of a vertical line in the case below. I have encountered that problem with different index format (datetime, integer, string) displayed as 'category'

import pandas as pd
import plotly.graph_objs as go
from plotly.offline import iplot, init_notebook_mode
from datetime import datetime

df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")

data = [
    go.Scatter(
          x=df.Date,
          y=df['AAPL.Close']
    )
]

layout = go.Layout(
    xaxis=dict(
        type='category', # change this option to _auto_ for a correct shape
    ),
    shapes=[
        dict(
            x0=datetime(2015, 11, 5),
            y0=min(df['AAPL.Close']),
            x1=datetime(2015, 11, 5), # x1 = x0 for a vertical line
            y1=max(df['AAPL.Close'])
        )
    ]
)
fig = go.Figure(data=data, layout=layout)
iplot(fig)

Ouput:

Zoom on the vertical line:

[cldougl]

Hi there,
Thanks for reporting this issue! It's actually in our underlying javascript library so I've opened an issue in that repo. I will close this issue in favour of: plotly/plotly.js#1720, once that's resolved, you will no longer see the problem with our python api.

[sb0007]

is this yet to be fixed?