I'm trying to create a plotly graph with a Scatter and Graph elements. It all goes nicely, but one issue - the two Y axis don't align around 0.
I have tried playing with different attributes, such as 'mirror' and tick0, I also tried following the examples on plotly's site, but it's mostly multiple y-axis with the same graph type.
What can I do to fix this?

import utils
import pandas as pd
import plotly.plotly as py
import plotly.graph_objs as go
import plotly
pd_data ['dt'] = ... dates
pd_data['price'] = ... prices
pd_data['car'] = ... cars
price = go.Scatter(
    x = pd_data['dt'],
    y = pd_data['price'],
    mode = 'lines',
    name = 'Price',
    xaxis = 'x',
    yaxis='y1',     
    marker = dict(
        color = utils.prep_color_string('orange'),
    ),
    line = dict(
        width = utils.line_width,
    ),
)
car = go.Bar(
    x = pd_data['dt'],
    y = pd_data['car'],
    #mode = 'lines',
    name = 'Cars',
    xaxis = 'x',
    yaxis='y2',
    marker = dict(
        color = utils.prep_color_string('light_green'),
    ),
    #line = dict(
    #   width = utils.line_width,
    #),
)
data = [price, car]
layout = dict(
    title = 'Price/Car',
    geo = dict(
        showframe = True,
        showcoastlines = True,
        projection = dict(
            type = 'Mercator'
        )
    ),
    yaxis=dict(
        title = 'Price',
        tickprefix = "$",
        overlaying='y2',
        anchor = 'x'            
    ),
    yaxis2=dict(
        title = 'Car',
        dtick = 1,
        #tickprefix = "",
        side = 'right',
        anchor = 'x',
    ),
)
fig = dict( data=data, layout=layout)
div = plotly.offline.plot( fig, validate=False, output_type = 'file',filename='graph.html' ,auto_open = False)
                To change the range of X and Y axes, we can use xlim() and ylim() methods.
Using subplots() method, create a figure and a set of subplots. Plot [1, 2, 3, 4, 5] data points on the left Y-axis scales. Using twinx() method, create a twin of Axes with a shared X-axis but independent Y-axis, ax2. Plot [11, 12, 31, 41, 15] data points on the right Y-axis scale, with blue color.
First, import the necessary functions from the Plotly package and create the secondary axes using the specs parameter in the make_subplots() function as shown. Plot a scatter plot with multiple y-axes. Make the chart readable by adding titles to the x and y axes.
I have been struggling with this as well. Exact same problem, but I am using R. The way I figured around it was to use the rangemode="tozero" for both the yaxis and yaxis2 layouts.
I think in your case, it would look like this:
layout = dict(
    title = 'Price/Car',
    geo = dict(
        showframe = True,
        showcoastlines = True,
        projection = dict(
            type = 'Mercator'
        )
    ),
    yaxis=dict(
        title = 'Price',
        tickprefix = "$",
        overlaying='y2',
        anchor = 'x',
        rangemode='tozero'            
    ),
    yaxis2=dict(
        title = 'Car',
        dtick = 1,
        #tickprefix = "",
        side = 'right',
        anchor = 'x',
        rangemode = 'tozero'
    ),
)
Let me know if that works for you.
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