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

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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!

# #### Version Check
# Plotly's python package is updated frequently. Run `pip install plotly --upgrade` to use the latest version.

# In[1]:


import plotly
plotly.__version__


# ### Basic Carpet Plot

# In[2]:


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

trace1 = go.Carpet(
    a = [4, 4, 4, 4.5, 4.5, 4.5, 5, 5, 5, 6, 6, 6],
    b = [1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3],
    y = [2, 3.5, 4, 3, 4.5, 5, 5.5, 6.5, 7.5, 8, 8.5, 10],
    aaxis = dict(
      tickprefix = 'a = ',
      ticksuffix = 'm',
      smoothing = 1,
      minorgridcount = 9
      ),
    baxis = dict(
      tickprefix = 'b = ',
      ticksuffix = 'Pa',
      smoothing = 1,
      minorgridcount = 9
      )
    )

data = [trace1]

fig = go.Figure(data = data)
py.iplot(fig, filename = "scattercarpet/basic")


# ### Add Carpet Scatter Trace

# In[3]:


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

trace1 = go.Carpet(
    a = [4, 4, 4, 4.5, 4.5, 4.5, 5, 5, 5, 6, 6, 6],
    b = [1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3],
    y = [2, 3.5, 4, 3, 4.5, 5, 5.5, 6.5, 7.5, 8, 8.5, 10],
    aaxis = dict(
      tickprefix = 'a = ',
      ticksuffix = 'm',
      smoothing = 1,
      minorgridcount = 9
      ),
    baxis = dict(
      tickprefix = 'b = ',
      ticksuffix = 'Pa',
      smoothing = 1,
      minorgridcount = 9
      )
    )

trace2 = go.Scattercarpet(
    a = [4, 4.5, 5, 6],
    b = [2.5, 2.5, 2.5, 2.5],
    line = dict(
      shape = 'spline',
      smoothing = 1,
      color = 'blue'
    )
  )

data = [trace1,trace2]

fig = go.Figure(data = data)
py.iplot(fig, filename = "scattercarpet/add-scattercarpet")


# ### Add Multiple Scatter Traces

# In[4]:


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

trace1 = go.Carpet(
    a = [0.1,0.2,0.3],
    b = [1,2,3],
    y = [[1,2.2,3],[1.5,2.7,3.5],[1.7,2.9,3.7]],
    cheaterslope = 1,
    aaxis = dict(
        title = "a",
        tickmode = "linear",
        dtick = 0.05
    ),
    baxis = dict(
        title = "b",
        tickmode = "linear",
        dtick = 0.05
    )
)

trace2 = go.Scattercarpet(
    name = "b = 1.5",
    a = [0.05, 0.15, 0.25, 0.35],
    b = [1.5, 1.5, 1.5, 1.5]
)

trace3 = go.Scattercarpet(
    name = "b = 2",
    a = [0.05, 0.15, 0.25, 0.35],
    b = [2, 2, 2, 2]
)

trace4 = go.Scattercarpet(
    name = "b = 2.5",
    a = [0.05, 0.15, 0.25, 0.35],
    b = [2.5, 2.5, 2.5, 2.5]
)

trace5 = go.Scattercarpet(
    name = "a = 0.15",
    a = [0.15, 0.15, 0.15, 0.15],
    b = [0.5, 1.5, 2.5, 3.5],
    line = dict(
        smoothing = 1,
        shape = "spline"
    )
)

trace6 = go.Scattercarpet(
    name = "a = 0.2",
    a = [0.2, 0.2, 0.2, 0.2],
    b = [0.5, 1.5, 2.5, 3.5],
    line = dict(
        smoothing = 1,
        shape = "spline"
    ),
      marker = dict(
        size = [10, 20, 30, 40],
        color = ["#000", "#f00", "#ff0", "#fff"]
      )
)

trace7 = go.Scattercarpet(
    name = "a = 0.25",
    a = [0.25, 0.25, 0.25, 0.25],
    b = [0.5, 1.5, 2.5, 3.5],
    line = dict(
        smoothing = 1,
        shape = "spline"
    )
)

layout = go.Layout(
    title = "scattercarpet extrapolation, clipping, and smoothing",
    hovermode = "closest"
)

data = [trace1,trace2,trace3,trace4,trace5,trace6,trace7]

fig = go.Figure(data = data, layout = layout)
py.iplot(fig, filename = "scattercarpet/multiple")


# ### Reference

# See https://plotly.com/python/reference/#scattercarpet for more information and chart attribute options!

# In[5]:


from IPython.display import display, HTML

display(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700" rel="stylesheet" type="text/css" />'))
display(HTML('<link rel="stylesheet" type="text/css" href="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(
    'scattercarpet.ipynb', 'python/carpet-scatter/', 'Carpet Scatter Plot',
    'How to make carpet scatter plots in Python with Plotly.',
    title = 'Carpet Scatter Plots | Plotly',
    has_thumbnail='true', thumbnail='thumbnail/scattercarpet.jpg', 
    language='python', 
    # page_type='example_index', // note this is only if you want the tutorial to appear on the main page: plot.ly/python
    display_as='scientific', order=28,
    ipynb= '~notebook_demo/146')


# In[ ]: