#!/usr/bin/env python
# coding: utf-8

# #### New to Plotly?
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# <br>We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!
# 
# 

# ### Logarithmic Axes ###

# In[1]:


import plotly.plotly as py
import plotly.graph_objs as go

trace1 = go.Scatter(
    x=[0, 1, 2, 3, 4, 5, 6, 7, 8],
    y=[8, 7, 6, 5, 4, 3, 2, 1, 0]
)
trace2 = go.Scatter(
    x=[0, 1, 2, 3, 4, 5, 6, 7, 8],
    y=[0, 1, 2, 3, 4, 5, 6, 7, 8]
)
data = [trace1, trace2]
layout = go.Layout(
    xaxis=dict(
        type='log',
        autorange=True
    ),
    yaxis=dict(
        type='log',
        autorange=True
    )
)
fig = go.Figure(data=data, layout=layout)
py.iplot(fig)


# #### Reference
# See https://plotly.com/python/reference/#layout-xaxis-type for more information and chart attribute options!
# 

# In[1]:


from IPython.display import display, HTML

display(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700rel="stylesheet" type="text/css" />'))
display(HTML('<link rel="stylesheet" type="text/csshref="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">'))

get_ipython().system(' pip install git+https://github.com/plotly/publisher.git --upgrade')

import publisher
publisher.publish(
    'log-axes.ipynb', 'python/log-plot/', ' Python Log Plots | Plotly',
    'How to make Log plots in Python with Plotly.',
    title = 'Python Log Plots | plotly',
    name = 'Log Plots',
    has_thumbnail='true', thumbnail=' thumbnail/log.jpg', 
    language='python',
    display_as='scientific', order=1,
    ipynb= '~notebook_demo/31')


# In[ ]: