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fixing thumbnails
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‎_posts/python/3d-filled-line/2015-06-30-3d-filled-line.html

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description: How to make 3D Filled Line Plots in Python
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name: 3D Filled Line Plots in Python | plotly
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has_thumbnail: true
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thumbnail: /images/ribbon-plot.png
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thumbnail: thumbnail/3d-filled-line-plot.jpg
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layout: user-guide
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name: 3D Filled Line Plots
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language: python

‎_posts/python/3d-filled-line/3d-filled-line.ipynb

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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false
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"output_type": "stream",
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"text": [
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"Collecting git+https://github.com/plotly/publisher.git\n",
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" Cloning https://github.com/plotly/publisher.git to /var/folders/j3/gt_q6y096cjfts4q8zq2dm2c0000gn/T/pip-AtpAGH-build\n",
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" Cloning https://github.com/plotly/publisher.git to /var/folders/j3/gt_q6y096cjfts4q8zq2dm2c0000gn/T/pip-PLJ3Bv-build\n",
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"Installing collected packages: publisher\n",
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" Found existing installation: publisher 0.10\n",
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" Uninstalling publisher-0.10:\n",
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" Successfully uninstalled publisher-0.10\n",
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" Running setup.py install for publisher\n",
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"Successfully installed publisher-0.10\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/IPython/nbconvert.py:13: ShimWarning: The `IPython.nbconvert` package has been deprecated. You should import from nbconvert instead.\n",
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" \"You should import from nbconvert instead.\", ShimWarning)\n",
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"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/publisher/publisher.py:53: UserWarning: Did you \"Save\" this notebook before running this command? Remember to save, always save.\n",
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" warnings.warn('Did you \"Save\" this notebook before running this command? '\n"
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]
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"source": [
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" 'How to make 3D Filled Line Plots in Python',\n",
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" title = '3D Filled Line Plots in Python | plotly',\n",
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" name = '3D Filled Line Plots',\n",
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" has_thumbnail='true', thumbnail='/images/ribbon-plot.png', \n",
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" has_thumbnail='true', thumbnail='thumbnail/3d-filled-line-plot.jpg', \n",
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" language='python', page_type='example_index', \n",
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" display_as='3d_charts', order=4)"
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]

‎_posts/python/3d-filled-line/ribbon.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Basic Ribbon Plot"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~demo_account/28.embed\" height=\"525px\" width=\"100%\"></iframe>"
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],
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"text/plain": [
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"<plotly.tools.PlotlyDisplay object>"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import plotly.plotly as py\n",
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"import plotly.graph_objs as go\n",
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"import urllib\n",
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"\n",
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"import numpy as np\n",
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"\n",
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"url = \"https://raw.githubusercontent.com/plotly/datasets/master/spectral.csv\"\n",
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"f = urllib.urlopen(url)\n",
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"spectra=np.loadtxt(f, delimiter=',')\n",
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"\n",
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"traces = []\n",
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"y_raw = spectra[:, 0] # wavelength\n",
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"sample_size = spectra.shape[1]-1 \n",
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"for i in range(1, sample_size):\n",
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" z_raw = spectra[:, i]\n",
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" x = []\n",
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" y = []\n",
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" z = []\n",
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" ci = int(255/sample_size*i) # ci = \"color index\"\n",
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" for j in range(0, len(z_raw)):\n",
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" z.append([z_raw[j], z_raw[j]])\n",
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" y.append([y_raw[j], y_raw[j]])\n",
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" x.append([i*2, i*2+1])\n",
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" traces.append(dict(\n",
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" z=z,\n",
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" x=x,\n",
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" y=y,\n",
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" colorscale=[ [i, 'rgb(%d,%d,255)'%(ci, ci)] for i in np.arange(0,1.1,0.1) ],\n",
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" showscale=False,\n",
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" type='surface',\n",
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" ))\n",
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"\n",
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"fig = { 'data':traces, 'layout':{'title':'Ribbon Plot'} }\n",
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"py.iplot(fig, filename='ribbon-plot-python')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Reference"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"See https://plot.ly/python/reference/ for more information!"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<link href=\"//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700\" rel=\"stylesheet\" type=\"text/css\" />"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [
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"<link rel=\"stylesheet\" type=\"text/css\" href=\"http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css\">"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Collecting git+https://github.com/plotly/publisher.git\n",
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" Cloning https://github.com/plotly/publisher.git to /var/folders/j3/gt_q6y096cjfts4q8zq2dm2c0000gn/T/pip-mVwKTQ-build\n",
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"Installing collected packages: publisher\n",
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" Found existing installation: publisher 0.10\n",
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" Uninstalling publisher-0.10:\n",
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" Successfully uninstalled publisher-0.10\n",
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" Running setup.py install for publisher\n",
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"Successfully installed publisher-0.10\n"
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]
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}
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],
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"source": [
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"from IPython.display import display, HTML\n",
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"\n",
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"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\" />'))\n",
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"display(HTML('<link rel=\"stylesheet\" type=\"text/css\" href=\"http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css\">'))\n",
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"\n",
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"! pip install git+https://github.com/plotly/publisher.git --upgrade\n",
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"import publisher\n",
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"publisher.publish(\n",
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" 'ribbon.ipynb', 'python/ribbon-plots/', 'Python Ribbon Plots | plotly',\n",
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" 'How to make ribbon plots in Python. ',\n",
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" title = 'Python Ribbon Plots | plotly',\n",
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" name = 'Ribbon Plots',\n",
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" has_thumbnail='true', thumbnail='thumbnail/ribbon-plot.jpg', \n",
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" language='python', page_type='example_index', \n",
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" display_as='3d_charts', order=5)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.9"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}

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