{ "metadata": { "name": "", "signature": "sha256:c1b99b815a6751377cdf74bf3bfea63e4d839a207e8ada6c7da008e2bdd1dba8" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "A discussion on
Plotly Polar Charts" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Remarks on the backend API and suggestions for future developments" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import plotly.plotly as py\n", "from plotly.graph_objs import *\n", "\n", "import numpy as np\n", "from IPython import display" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "def r2d(a):\n", " return a*180/np.pi" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "
" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "0. Polar traces should have their own trace type" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Although they have several features in common, cartesian scatter traces and polar scatter traces are different beasts. For example,\n", "\n", "- they use *mutually-exclusive* coordinate keys (`'x'`-`'y'` vs. `'r'`-`'t'`),\n", "- they are bound to different axis (`'xaxis'`-`'yaxis'` vs. `'angularaxis'`-`'radialaxis'`)\n", "- interactibility does not work the same (e.g. they use a different hover mode),\n", "\n", "So, I propose that \n", "\n", "- polar scatter trace should be renamed `'scatterpolar'`\n", "\n", "\n", "in a similar way to `'scatter3d'` for 3D scatter traces.\n", "\n", "Moreover, although currently available to user\n", "\n", "- I would discontinue `'bar'` traces in polar charts. \n", "\n", "Why would anyone want to plot something like:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "py.iplot([{'r': [1,2,3],\n", " 't': [0,90,270], \n", " 'type': 'bar'}], \n", " filename='polar bar circles')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "And then\n", "\n", "- Rename the `'area'` trace type to `'barpolar'` \n", "\n", "More in [#7](#7.-Adding-a-third-coordinate-to-Polar-Area-Charts-?), [#8](#8.-Custom-fonts-and-sector-overlay-options), [#10.2](#10.2), [#10.3](#10.3), [#10.5](#10.5) and [#10.6](#10.6) on why area traces are really an extension of bar traces to polar charts.\n", "\n", "* * *" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "1. Angular direction and line width" ] }, { "cell_type": "code", "collapsed": false, "input": [ "N = 1000\n", "circles = 5\n", "\n", "r = np.linspace(10, 0, N)\n", "t = np.linspace(0, r2d(2*np.pi*circles), N)\n", "\n", "py.iplot([{'r': r, 't': t}], filename='polar line circles')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 5 }, { "cell_type": "code", "collapsed": false, "input": [ "py.iplot({'data': [{'r': r, 't': t}],\n", " 'layout': {'direction': 'counterclockwise'}},\n", " filename='polar line circles counterclockwise')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "py.iplot({'data': [{'x': r, 'y': t}]},\n", " filename='polar line circles comp x-y')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Suggestions:\n", "\n", "- North should be 90, not 270 (i.e. `'direction'` should be set `'counterclockwise'` by default)\n", "\n", "- `'direction'` should be a key in `'angularaxis'` (not `'layout'`) to allow user (in the future) to have subplots with both directions on the same figure.\n", "\n", "- Use Plotly default line thickness (Polar chart lines are thinner)\n", "\n", "* * *" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "2. Marker size in scatter plots" ] }, { "cell_type": "code", "collapsed": false, "input": [ "N = 50\n", "circles = 5\n", "\n", "r = np.linspace(10, 0, N)\n", "t = np.linspace(0, r2d(2*np.pi*circles), N)\n", "\n", "py.iplot([{'r': r, \n", " 't': t,\n", " 'mode': 'markers',\n", " 'marker': {'size': 50}\n", "}], filename='polar marker circles')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 8 }, { "cell_type": "code", "collapsed": false, "input": [ "py.iplot([{'x': r, \n", " 'y': t,\n", " 'mode': 'markers',\n", " 'marker': {'size': 50}\n", "}], filename='polar marker circles - comp. x-y')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 9 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Suggestions:\n", "\n", "- Polar chart marker sizes should correspond with Plotly's scatter marker size\n", "\n", "* * *" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "3. Line+Marker and label+hover text" ] }, { "cell_type": "code", "collapsed": false, "input": [ "N = 100\n", "circles = 5\n", "\n", "r = np.linspace(10, 0, N)\n", "r2 = np.linspace(0,10,N)\n", "t = np.linspace(0, r2d(2*np.pi*circles), N)\n", "text = [\"The angle is {:5.2f}\".format(tt) for tt in t]\n", "\n", "py.iplot([{'r': r, \n", " 't': t, \n", " 'text': text, # does not work\n", " 'mode': 'lines+markers', \n", " 'line': {'color':'black'}, # bug, should color line between pts\n", " 'marker':{'color':'red', # bug, gets overwritten!\n", " 'line':{'color': 'green'} # bug, overwrites 'color':'red'\n", " }\n", " },\n", " {'r': r2,\n", " 't': t,\n", " 'text': text, # does not work, should be supported\n", " 'mode': 'markers+text' # does not work, should be supported\n", " }], \n", " filename='polar line+marker circles')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 10 }, { "cell_type": "code", "collapsed": false, "input": [ "py.iplot([{'x': r[::10], # 1 out of 10 points\n", " 'y': t[::10], \n", " 'text': text, \n", " 'mode': 'lines+markers',\n", " 'line': {'color':'black'}, # colors line between pts\n", " 'marker':{'color':'red', # color the marker pts\n", " 'line':{'color': 'green'}} # colors line around marker pts\n", " },\n", " {'x': r2[::10],\n", " 'y': t[::10],\n", " 'text': text, \n", " 'mode': 'markers+text', # coordintate in text by data pts\n", " 'textposition': 'top left' # relative position of text w.r.t. data pts\n", " }], \n", " filename='polar line+marker circles comp x-y')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 11 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Remarks:\n", "\n", "- `scatter.line.color` should color lines between data points whereas `scatter.marker.line.color` should color lines around marker points.\n", "\n", "
\n", "\n", "- By default all polar traces have `'name'` set to `line1`. Why not set it to `trace 0` (for the first trace) `trace 1` (for the second trace) etc. like other Plotly trace objects?\n", "\n", "- Unlike other Plotly trace objects, when multiple traces are present, the value linked to `'name'` does not appear on hover next to the text box.\n", "\n", "- Additional hover text (with the `'text'`) is not shown in Polar charts.\n", "\n", "- Scatter modes involving `'text'` are not supported in Polar Scatter charts. \n", "\n", "* * *" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "4. Custom grid lines and ticks" ] }, { "cell_type": "code", "collapsed": false, "input": [ "def c2r(x, y):\n", " return (np.sqrt(x**2+y**2), (180*np.arctan2(y,x)/np.pi))\n", "\n", "def r2c(r, t):\n", " return (r*np.cos(np.pi*t/180), r*np.sin(np.pi*t/180))" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 19 }, { "cell_type": "code", "collapsed": false, "input": [ "N = 60\n", "x = 1.4*np.random.randn(N)\n", "y = 1.4*np.random.randn(N)\n", "\n", "n = 6\n", "r = 8\n", "\n", "#colors = ['rgb(102,194,165)','rgb(252,141,98)','rgb(141,160,203)','rgb(231,138,195)','rgb(166,216,84)','rgb(255,217,47)']\n", "colors = ['rgb(166,206,227)','rgb(31,120,180)','rgb(178,223,138)','rgb(51,160,44)','rgb(251,154,153)','rgb(227,26,28)']\n", "#colors = ['rgb(27,158,119)','rgb(217,95,2)','rgb(117,112,179)','rgb(231,41,138)','rgb(102,166,30)','rgb(230,171,2)']\n", "\n", "data = []\n", "i = 0\n", "for ti in range(0, 360, 360/n):\n", " i+=1\n", " xi = x+r2c(5, ti)[0]\n", " yi = y+r2c(5, ti)[1]\n", " \n", " r = c2r(xi, yi)[0]\n", " t = c2r(xi, yi)[1]\n", "\n", " data.append({'r': r, \n", " 't': t, \n", " 'mode': 'markers', \n", " 'type': 'scatter', # bug, without it, this becomes a line plot\n", " 'name': 'Trial {i}'.format(i=i),\n", " 'marker': {\n", " 'color': colors[i-1],\n", " 'opacity': 0.7,\n", " 'line': {'color':'white', # colors line around marker pts\n", " 'width': 3}, # \n", " 'size': 20 # size of the marker pts (much smaller\n", " }}) # than in x-y graph below)\n", " \n", "layout = {'plot_bgcolor': 'rgb(223, 223, 223)',\n", " 'title': 'Hobbs-Pearson Trials',\n", " 'font': {'size': 15}, # global font size (much smaller than in x-y graph below)\n", " 'angularaxis': {\n", " 'tickcolor': 'red', # bug, color both ticks and all grid line\n", " 'ticks': 'outside', # does not work, should place angular ticks outside axis\n", " 'ticklen': 8, # does not work, should set tick length \n", " 'tickwidth': 3, # does not work, should set tick width\n", " 'gridcolor': 'green', # does not work, should color angular grid line \n", " 'gridwidth': 3 # does not work, should set angular grid line width\n", " },\n", " 'radialaxis': {\n", " 'tickcolor': 'blue', # does not work, should color the radial axis' ticks\n", " 'ticks': 'inside', # does not work, should place radial tick inside axis \n", " 'ticklen': 16, # does not work\n", " 'tickwidth': 6, # does not work \n", " 'gridcolor': 'orange', # does not work\n", " 'gridwidth': 6 # does not work\n", " \n", " }\n", " }\n", "\n", "py.iplot({'data': data, 'layout': layout}, validate=False, \n", " filename='Hobbs-Pearson-trials')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 20 }, { "cell_type": "code", "collapsed": false, "input": [ "N = 60\n", "x = 1.4*np.random.randn(N)\n", "y = 1.4*np.random.randn(N)\n", "\n", "n = 6\n", "r = 8\n", "\n", "#colors = ['rgb(102,194,165)','rgb(252,141,98)','rgb(141,160,203)','rgb(231,138,195)','rgb(166,216,84)','rgb(255,217,47)']\n", "colors = ['rgb(166,206,227)','rgb(31,120,180)','rgb(178,223,138)','rgb(51,160,44)','rgb(251,154,153)','rgb(227,26,28)']\n", "#colors = ['rgb(27,158,119)','rgb(217,95,2)','rgb(117,112,179)','rgb(231,41,138)','rgb(102,166,30)','rgb(230,171,2)']\n", "\n", "data = []\n", "i = 0\n", "for ti in range(0, 360, 360/n):\n", " i+=1\n", " xi = x+r2c(5, ti)[0]\n", " yi = y+r2c(5, ti)[1]\n", " \n", " r = c2r(xi, yi)[0]\n", " t = c2r(xi, yi)[1]\n", "\n", " data.append({'x': r, \n", " 'y': t, \n", " 'mode': 'markers', \n", " #'type': 'scatter', # not required! \n", " 'name': 'Trial {i}'.format(i=i),\n", " 'marker': {\n", " 'color': colors[i-1],\n", " 'opacity': 0.7,\n", " 'line': {'color':'white',\n", " 'width': 3}, \n", " 'size': 20\n", " }})\n", " \n", "layout = {'plot_bgcolor': 'rgb(223, 223, 223)',\n", " 'title': 'Hobbs-Pearson Trials',\n", " 'font': {'size': 15},\n", " 'xaxis': {\n", " 'tickcolor': 'red', # xaxis ticks are red,\n", " 'ticks': 'outside', # placed outside the axis frame,\n", " 'ticklen': 8, # with a length of 8 pixels,\n", " 'tickwidth': 3, # and a width of 3 pixels.\n", " 'gridcolor': 'green', # vertical grid lines are green,\n", " 'gridwidth': 3 # and are 3 pixel wide\n", " },\n", " 'yaxis': {\n", " 'tickcolor': 'blue', # yaxis ticks are blue,\n", " 'ticks': 'inside', # placed inside the axis frame,\n", " 'ticklen': 16, # with a length of 16 pixels, \n", " 'tickwidth': 6, # and a width of 6 pixles,\n", " 'gridcolor': 'orange', # horizontal grid line are orange,\n", " 'gridwidth': 6 # and are 6 pixel wide\n", "\n", " }}\n", "\n", "py.iplot({'data': data, 'layout': layout}, validate=False, \n", " filename='Hobbs-Pearson-trials comp x-y')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 21 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Suggestions\n", "\n", "- Grid lines should be drawn beneath the scatter points\n", "- We shouldn't need to specify `'type': 'scatter'` for this plot\n", "\n", "
\n", "\n", "- tick options (e.g. `tickcolor`) should be distinct from grid opitons (e.g. `gridcolor`).\n", "- We should be able to specify different options for angular and radial axes simultaneously (more in [#5](#5.-Add/Remove-grid-line,-axis-line-and-tick-labels)).\n", "\n", "\n", "* * *" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "5. Add/Remove grid line, axis line and tick labels" ] }, { "cell_type": "code", "collapsed": false, "input": [ "N = 50\n", "circles = 5\n", "\n", "r = np.linspace(10, 0, N)\n", "t = np.linspace(0, 2*np.pi*circles, N)\n", "\n", "py.iplot({'data':[{\n", " 'r': r, \n", " 't': t,\n", " 'mode': 'markers',\n", " }],\n", " 'layout':{\n", " 'direction':'counterclockwise', # 'counterclockwise' should be the default\n", " 'orientation':180, # confusing name, maybe put in 'angularaxis' \n", " # maybe name it 'rotateangle' or 'plotangle' \n", " 'angularaxis': {\n", " 'range': [0,2*np.pi], # maybe have a 'type': 'radians' or 'degrees'?\n", " 'domain':[0,0.5], # not supported yet\n", " 'showline':False, # should be 'gridline' !\n", " 'showticklabels':True, # \n", " 'tickorientation':'vertical', # maybe 'ticklabelorientation' instead\n", " # with value 'tangant', 'perpendicular'\n", " 'ticksuffix':' rad', # Nice! should be added to XAxis and YAxis\n", " 'endpadding':0, # does not appear to work. \n", " # Padding between tick and label is a good idea tough\n", " #'visible':True, # same as 'showline':False + 'showticklabels':False\n", " },\n", " 'radialaxis': {\n", " 'range':[5,13], # adjusting the radial range\n", " 'domain': [0,0.5], # not supported yet\n", " 'orientation': 45, # bug, does not match 'direction' & 'range'\n", " 'showline': False, # should be 'gridline' !\n", " 'showticklabels': True, # does not work\n", " 'ticksuffix':' %', # Nice!\n", " 'endpadding': 0, # does not appear to work.\n", " 'visible': True # should be 'showline' (+ 'showticklabels') !\n", " } \n", " }},\n", " validate=False, filename='polar add/remove line/labels')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 22 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Suggestions:\n", "\n", "- Maybe we should have a `'type'` key in `'angularaxis'` with values `'degrees'` and `'radians'`. `'type': 'radians'` would adjust the range to [0, 2\\*pi] and change the tick labels to π/2 , π , 3π/2 and 2π.\n", "\n", "\n", "- We should delimitate axis line options (`'showline'`, `'linecolor'`, `'linewidth'`) which correspond to the line bouding the axes (circular for `'angularaxis'`, along `'r'` for `'radialaxis'`) and grid line (`'showgrid'`, `'gridcolor'`, `'gridwidth'`) which should be the circular line in `'radialaxis'` and the lines along `'r'` in `'angularaxis'`. \n", "\n", "- `'tickorientation'` should perhaps be `'ticklabelorientation'` with value `'tangant'`, `'perpendicular'` or even `'tickangle'` (like in `'xaxis'` and `'yaxis'`) with value in [-180,180].\n", "\n", "- Tick options should be idential as much as possible to `'xaxis'` and `'yaxis'` (`'autotick'`, `'ticks'`, `'showticklabels'`, `'tick0'`, `'dtick'`, `'ticklen'`, `'tickwidth'`, `'tickcolor'`, `'tickangle'`, `'tickfont'`).\n", "\n", "\n", "* * *" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "6. Closed loop charts with string coordinates" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Say we want to make these charts:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "display.Image('http://www.nature.com/nrd/journal/v10/n10/images/nrd3552-f4.jpg')" ], "language": "python", "metadata": {}, "outputs": [ { "jpeg": 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Um+bju1ilcsywtarWJqU0kcfkzck/JHNQ0UFo0jZeZZfW1KnQjiahV3Xqq1s29V6Etp9x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\n0v3N2r71TW/Sqw0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ZSGVhqrDiCD3jMtPcBgMBgMBgMBgMBgMBgMBgMBgMBgMBgMDh+uwT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PXAlmS5X2u7XBaC7YkEcjgfQEI1kZT4kfLnl3Xa7s/xWVjJHCY+99tv3rHtZ6cl1v07uNsz7oc7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\nnicCv2/qfqWGtaWzcgnmtdQz7TVsSQlI60au+hYCT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EofWbkVOeQlRza6YVC3zebVHqfa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A68pLd+BDh65p3Fk90RoPd91TapjdjmiV2aQRnyiEPMx19UH9loMC42re9v3VJJKL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"metadata": {}, "output_type": "pyout", "prompt_number": 23, "text": [ "" ] } ], "prompt_number": 23 }, { "cell_type": "code", "collapsed": false, "input": [ "py.iplot({'data':[{\n", " 't': ['A', 'B', 'C', 'A'], # does not complete the loop with string coords \n", " #'t': [0,150,270,0], # works with number coords though\n", " 'r': [1, 2, 3, 1], \n", " #'r': ['A','B','C','A'] # string radial coordinates do not work\n", " }],\n", " }, filename='radar plot?')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 24 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Suggestions:\n", "\n", "- Closed loop should be supported for string coordinates\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Also" ] }, { "cell_type": "code", "collapsed": false, "input": [ "py.iplot([\n", " {\n", " 't': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'L', 'M', 'N'],\n", " 'r': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]\n", " }], filename='categorical line plot')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 25 }, { "cell_type": "markdown", "metadata": {}, "source": [ "- For categorical radial axes (e.g. the '`t'` array has strings), I think we should show up to 20 of the tick labels. i.e. for the chart above, I think A-N should all be visible. \n", "\n", "- We should also allow users to adjust the spacing in between ticks using `'dticks'` as in `'xaxis'` and `'yaxis'`.\n", "\n", "* * *" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "7. Adding a third coordinate to Polar Area Charts ?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "I'm thinking about describing `'t'` for area traces in graph reference as:\n", "\n", "The angular coordinates of the circle sectors in this polar area trace. There are as many circle sectors as coordinates linked to 't' and 'r'. Each circle sector is drawn about the \n", "coordinates linked to 't', where they spanned symmetrically in both the positive and negative angular directions. The angular extent of each sector is equal to the angular range (360 degree by default) divided by the number of sectors. Note that the sectors are drawn in order; coordinates at the end of the array may overlay the coordinates at the start.\n", "\n", "By default, the angular coordinates are in degrees (0 to 360) where the angles are measured clockwise about the right-hand side of the origin. To change this behavior, modify 'range' in AngularAxis or/and 'direction' in Layout. If 't' is linked to an array-like of strings, then the angular coordinates are [0, 360\\N, 2\\*360/N, ...] where N is the number of coordinates given labeled by the array-like of strings linked to 't'.\n", "\n", "\n", "Thoughts?\n", "\n", "An example:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "py.iplot([{\n", " 'r': [1, 2, 3], \n", " 't': [0, 180, 270], # each sector is 120 deg wide,\n", " # the sector at 270 overlays the 2 others.\n", " 'type': 'area' \n", " }], \n", " filename='categorical polar area')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 26 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Remarks:\n", "\n", "- Why not have a third coordinate in 'area' controlling the width (i.e. the angular span, perhaps to be named `'w'`) of each sector instead of strictly specifying them using the number of coordinates sent.\n", "\n", "For more inspiration, Matplotlib does support 3 coordinates in Polar Charts see [here](http://www.loria.fr/~rougier/teaching/matplotlib/#polar-axis).\n", "\n", "- We could have something like `layout.areagap` (similar to the current `layout.bargap`, --> [example](https://plot.ly/python/bar-charts) <--) to control the gap in between sectors." ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "8. Custom fonts and sector overlay options" ] }, { "cell_type": "code", "collapsed": false, "input": [ "directions = ['North', 'N-E', 'East', 'S-E', 'South', 'S-W', 'West', 'N-W']\n", "colors = ['rgb(242,240,247)', 'rgb(203,201,226)', 'rgb(158,154,200)', 'rgb(106,81,163)']\n", "\n", "py.iplot({\n", " 'data': [\n", " {\n", " 'r': [i*100. for i in [0.775,0.725,0.7,0.45, 0.225,0.425,0.4,0.625]],\n", " 't': directions, # largest radii, must be plotted first!\n", " 'name': '11-14 m/s',\n", " 'type': 'area',\n", " 'marker': {\n", " 'color': colors[3]\n", " }\n", " },\n", " {\n", " 'r': [i*100. for i in [ 0.575,0.5,0.45, 0.35, 0.2,0.225,0.375,0.55]],\n", " 't': directions, # second largest radii\n", " 'name': '8-11 m/s',\n", " 'type': 'area',\n", " 'marker': {\n", " 'color': colors[2]\n", " }\n", " },\n", " {\n", " 'r': [i*100. for i in [0.4, 0.3, 0.3, 0.35, 0.075, 0.075, 0.325, 0.4]],\n", " 't': directions, # third largest radii\n", " 'name': '5-8 m/s',\n", " 'type': 'area',\n", " 'marker': {\n", " 'color': colors[1]\n", " }\n", " },\n", " {\n", " 'r': [i*100. for i in [0.2, 0.075, 0.15, 0.225, 0.025, 0.025, 0.125, 0.225]],\n", " 't': directions, # smallest radii\n", " 'name': '< 5 m/s',\n", " 'type': 'area',\n", " 'marker': {\n", " 'color': colors[0]\n", " }\n", " }\n", " ],\n", " 'layout': {\n", " 'title': 'Wind Speed Distribution in Laurel, NE',\n", " 'font': {\n", " 'size': 10, \n", " 'family': 'Gravitas One, cursive' # should set legend font also\n", " },\n", " 'titlefont': {\n", " 'size': 30, \n", " 'family': 'Raleway, sans-serif', # does not work\n", " },\n", " 'radialaxis': {\n", " 'title': 'does not work',\n", " 'titlefont': {\n", " 'size': 30, \n", " 'family': 'Raleway, sans-serif', # does not work\n", " },\n", " 'tickfont': {\n", " 'size': 30, \n", " 'family': 'Raleway, sans-serif', # does not work\n", " },\n", " },\n", " 'angularaxis': {\n", " 'title': 'not supported, how would this work?',\n", " 'titlefont': {\n", " 'size': 30, \n", " 'family': 'Raleway, sans-serif', # does not work\n", " },\n", " 'tickfont': {\n", " 'size': 30, \n", " 'family': 'Raleway, sans-serif', # does not work\n", " },\n", " },\n", " 'legend':{\n", " 'font': {\n", " 'size': 30, \n", " 'family': 'Raleway, sans-serif', # does not work\n", " }\n", " }\n", " }}, validate=False, filename='polar')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 27 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Area plots like this one (with unique angular coordinates) works well, if you don't mind that every sectors have the same angular width.\n", "\n", "Wishlist:\n", "\n", "- `layout.titlefont` to only set the font of plot's title\n", "- titled radial axis, `radialaxis.title`\n", "- Maybe find a way to title the angular axis (`angularaxis.title`)\n", "- global font (`layout.font`) should update the legend font\n", "- configurable legend font (`layout.legend.font`)\n", "- configurable tick label font \n", " (`layout.radialaxis.tickfont` & `layout.angularaxis.tickfont`) \n", " \n", "
\n", " \n", "- User should have access to a `layout.areamode` key (similar to the current `layout.barmode`, --> [example](https://plot.ly/python/bar-charts) <--) with value `'overlay'` or `'stack'` or `'group'` (more on this in [#10.2](#10.2))" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "9. color in Marker should accept array to color individual pts/sectors" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In Plotly, `marker.color` can be an array: e.g. for bars --> [example](https://plot.ly/python/bar-charts/#Customizing-Individual-Bar-Colors) <--" ] }, { "cell_type": "code", "collapsed": false, "input": [ "py.iplot([\n", " {\n", " 't': ['a', 'b', 'c'],\n", " 'r': [1, 2, 3],\n", " 'type': 'area',\n", " 'marker': {\n", " 'color': ['red', 'blue', 'green'], # does not work (same for scatter trace)\n", " 'line': { \n", " 'color':'red', # nice!\n", " 'width':5 # nice!\n", " }\n", " }\n", " }\n", "], filename='polar fill color array')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 28 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Suggestions:\n", "\n", "- User should be able to color individual area sectors and scatter points using arrays linked to `'marker.color'`" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "10. How to make the following charts in Plotly?" ] }, { "cell_type": "heading", "level": 5, "metadata": {}, "source": [ "10.1" ] }, { "cell_type": "code", "collapsed": false, "input": [ "display.Image(url='http://schwehr.org/blog/attachments/2005-10/polar_test2.png')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "pyout", "prompt_number": 29, "text": [ "" ] } ], "prompt_number": 29 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We need:\n", "\n", "- support for `marker.colorscale` \n", "- support for arrays linked to `maker.size`\n", "\n", "in polar scatter traces." ] }, { "cell_type": "heading", "level": 5, "metadata": {}, "source": [ "10.2" ] }, { "cell_type": "code", "collapsed": false, "input": [ "display.Image(url='http://blog.smartbear.com/wp-content/uploads/imports/favorite_pie_chart.jpg')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "pyout", "prompt_number": 30, "text": [ "" ] } ], "prompt_number": 30 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We need:\n", "\n", "- a third coordinate in area traces controlling the width of the sectors. \n", "\n", "The corresponding JSON would look something like:\n", "\n", "```\n", "{\n", "'data':\n", " [{\n", " 'type': 'area',\n", " 'w' : ['8,4%', '20.6%', 18.5%' ...]\n", " 'text'['Strawberry Rhubarb', 'Apple', 'Ohter', ... \n", " }]\n", "'layout':\n", " {}\n", "}\n", " \n", "```\n", "\n", "**Or**\n", "```\n", "{\n", "'data':\n", " [{\n", " 'type': 'area',\n", " 'w': ['8.4%']\n", " 'name': 'Strawberry Rhubarb'\n", " },\n", " {\n", " 'type': 'area',\n", " 'w': ['20.6%']\n", " 'name': 'Apple'\n", " },\n", " ...\n", " ]\n", "'layout':\n", " {\n", " 'areamode': group'\n", " } \n", "\n", "}\n", "```\n", "\n", "where `'r'` is filled in 1s and `'t'` is filled using some behind-the-scenes algorithm." ] }, { "cell_type": "heading", "level": 5, "metadata": {}, "source": [ "10.3" ] }, { "cell_type": "code", "collapsed": false, "input": [ "display.Image(url='http://i.imgur.com/UQwxKEG.png')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "pyout", "prompt_number": 31, "text": [ "" ] } ], "prompt_number": 31 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here each sector has the same angular width\n", "\n", "We need:\n", "\n", "- a `layout.areagap` key to add a constant angular gap between each sector\n", "- to draw each string angular coordinate (or use a `angularaxis.dtick` key)\n", "- a `layout.areamode` key to specify that each area trace are stacked on top of each other" ] }, { "cell_type": "heading", "level": 5, "metadata": {}, "source": [ "10.4" ] }, { "cell_type": "code", "collapsed": false, "input": [ "display.Image(url='http://www.nature.com/nutd/journal/v4/n2/images/nutd20146f3.jpg')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "pyout", "prompt_number": 32, "text": [ "" ] } ], "prompt_number": 32 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We need:\n", "\n", "- to make scatter traces with strings linked to `'t'` be able to *link up* (see [#6](#6.-Closed-loop-charts-with-string-coordinates))" ] }, { "cell_type": "heading", "level": 5, "metadata": {}, "source": [ "10.5" ] }, { "cell_type": "code", "collapsed": false, "input": [ "display.Image(url='http://cbio.ensmp.fr/~nvaroquaux/formations/scipy-lecture-notes/_images/plot_polar_ex_1.png')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "pyout", "prompt_number": 33, "text": [ "" ] } ], "prompt_number": 33 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We need:\n", "\n", "- to make the distinctinon between `angularaxis.linewidth` (the bounding line and the angular axis) and `radialaxis.gridwidth` + `radialaxis.gridcolor` (the radial grid lines)\n", "\n", "- This would also requires a third coordinate (`'w'`) in area traces (as in [matplotlib](http://www.loria.fr/~rougier/teaching/matplotlib/#polar-axis)).\n", "\n", "In this case, one could set up 1 trace per sector color and order accordingly in `'data'`." ] }, { "cell_type": "heading", "level": 5, "metadata": {}, "source": [ "10.6" ] }, { "cell_type": "code", "collapsed": false, "input": [ "display.Image('http://i.stack.imgur.com/eVTsq.jpg')" ], "language": "python", "metadata": {}, "outputs": [ { "jpeg": 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WzxJ2ioYxwmmEDvqv7Dvc4qtUeCy+phdz+BsGZtHHsx+BqmSSQtZ+E9+7P2gD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\nENlb4Hg7n0PiuwwTBmbP4NT4YwDNC34x1rZ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"metadata": {}, "output_type": "pyout", "prompt_number": 34, "text": [ "" ] } ], "prompt_number": 34 }, { "cell_type": "markdown", "metadata": {}, "source": [ "A Plotly version of the above plots would be amazing!\n", "\n", "The main difficulty is to find a way to *tag* a *children* sector to its *parent* (e.g. Coffee is the parent of Tastes and Aromas).\n", "\n", "To make the user experience as intuitive as possible, I suggest that we include two new keys in area trace (that I should be named barpolar traces in my mind):\n", "\n", "- `'parent'`: accepts either a `'name'` value set to a `'name'` key of a trace above in the trace ordering or an integer corresponding a trace number. This would *tag* a children sector to its *parent*.\n", "- `'relativew'` (for relative w): a boolean. If True the `'w'` coordinates in this trace are drawn relative to its parent trace. The default would `'relativew'`: False.\n", "\n", "Morever, we would need :\n", "\n", "- `layout.areamode` (or `layout.barmode`) to accept a `'parent-children'` or `'tree'` value \n", "\n", "So the above could be made using something like:\n", "\n", "```\n", "{'data':[\n", " {\n", " 'w':1,\n", " 'name': 'Coffee',\n", " },\n", " {\n", " 'w': 0.6,// default could be\n", " // 1/(number of children \n", " // from this parent at this level)\n", " 'name': 'Aromas',\n", " 'parent': 'Coffee' // (or 1)\n", " // 'relativew (does not matter\n", " // as parent has width=360)\n", " },\n", " {\n", " 'w': 0.4,\n", " 'name': 'Tastes',\n", " 'parent': 'Coffee' // (or 1)\n", " // 'relativew (does not matter \n", " // as parent has width=360)\n", " },\n", " {\n", " 'w': 0.25,\n", " 'name': 'Sour',\n", " 'parent': 'Tastes', // (or 2)\n", " 'relativew': True\n", " },\n", " {\n", " 'w': 0.25,\n", " 'name': 'Sweet',\n", " 'parent': 'Tastes', // (or 2)\n", " 'relativew': True\n", " },\n", " {\n", " 'w': 0.25,\n", " 'name': 'Salt',\n", " 'parent': 'Tastes', // (or 2)\n", " 'relativew': True\n", " },\n", " {\n", " 'w': 0.25,\n", " 'name': 'Bitter',\n", " 'parent': 'Tastes', // (or 2)\n", " 'relativew': True\n", " },\n", " \n", " // ....\n", "\n", "],\n", "'layout':{\n", " 'barmode': 'parent-children'\n", " \n", "}\n", "}\n", "\n", "```\n", "\n", "In addition, we would have to find a way to label each bar automatically, possibly using a `'directannotation'` boolean key in `barpolar`. " ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "11. Ideas for Polar subplots" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Polar subplots are not yet supported.\n", "\n", "An important issues arises:\n", "\n", "- How should the position of a polar subplot, its radial extend and angular extend be set?\n", "\n", "Suggestions, in `'radialaxis'`:\n", "\n", "-`'domain'`: accepts two numbers, the start and end points of radial axis in normalized coordinates. For example, [0.1, 0.5] would correspond to donut chart spanning half the paper size.\n", "\n", "`'positionorigin'`: accepts two numbers, the normalized x-y paper coordinates of the origin. [0.5, 0.5] would place the subplot in the center of the paper.\n", "\n", "In `'angularaxis'`:\n", "\n", "- `'span'` (not to be confused with domain): the start and end points of the angular axis in degrees (or radians depending on `'type'`). For example, [0,360] would correpsond to a full circle [90,270] a half circle." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here are some examples of plots that users should be able to make in Plotly:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "display.Image(url='http://www.nature.com/nmat/journal/v12/n5/images_article/nmat3557-f4.jpg')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "pyout", "prompt_number": 35, "text": [ "" ] } ], "prompt_number": 35 }, { "cell_type": "code", "collapsed": false, "input": [ "display.Image(url='http://www.nature.com/nphoton/journal/v5/n12/images/nphoton.2011.254-f5.jpg')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "pyout", "prompt_number": 36, "text": [ "" ] } ], "prompt_number": 36 }, { "cell_type": "code", "collapsed": false, "input": [ "display.Image(url='http://www.nature.com/ng/journal/v43/n10/images_article/ng.906-F5.jpg')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "pyout", "prompt_number": 37, "text": [ "" ] } ], "prompt_number": 37 }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "
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" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import display, HTML\n", "import urllib2\n", "url = 'https://raw.githubusercontent.com/plotly/python-user-guide/master/custom.css'\n", "display(HTML(urllib2.urlopen(url).read()))" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", "\n" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 38 }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [] } ], "metadata": {} } ] }