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chriddyp/plotly make_subplots examples.ipynb

Created February 18, 2015 03:48
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Several examples of how to make small multiples and subplots with Plotly and the `make_subplots` function
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plotly make_subplots examples.ipynb
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"cell_type": "markdown",
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"source": [
"## Subplots and small multiples with plotly and `plotly.tools.make_subplots`"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from plotly import tools # functions to help build plotly graphs\n",
"import plotly.plotly as py # module that communicates with plotly \n",
"from plotly.graph_objs import * # graph objects, subclasses of lists and dicts, that are used to describe plotly graphs"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stderr",
"text": [
"/Users/chris/anaconda/lib/python2.7/site-packages/pandas/computation/expressions.py:21: UserWarning: The installed version of numexpr 2.0.1 is not supported in pandas and will be not be used\n",
"The minimum supported version is 2.1\n",
"\n",
" \"version is 2.1\\n\".format(ver=ver), UserWarning)\n"
]
}
],
"prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`tools.make_subplots` *generates* `Figure` objects for you.\n",
"\n",
"Need some help? Call `help`"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"help(tools.make_subplots)"
],
"language": "python",
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"output_type": "stream",
"stream": "stdout",
"text": [
"Help on function make_subplots in module plotly.tools:\n",
"\n",
"make_subplots(rows=1, cols=1, shared_xaxes=False, shared_yaxes=False, start_cell='top-left', print_grid=True, **kwargs)\n",
" Return an instance of plotly.graph_objs.Figure\n",
" with the subplots domain set in 'layout'.\n",
" \n",
" Example 1:\n",
" # stack two subplots vertically\n",
" fig = tools.make_subplots(rows=2)\n",
" \n",
" This is the format of your plot grid:\n",
" [ (1,1) x1,y1 ]\n",
" [ (2,1) x2,y2 ]\n",
" \n",
" fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2])]\n",
" fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2], xaxis='x2', yaxis='y2')]\n",
" \n",
" # or see Figure.append_trace\n",
" \n",
" Example 2:\n",
" # subplots with shared x axes\n",
" fig = tools.make_subplots(rows=2, shared_xaxes=True)\n",
" \n",
" This is the format of your plot grid:\n",
" [ (1,1) x1,y1 ]\n",
" [ (2,1) x1,y2 ]\n",
" \n",
" \n",
" fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2])]\n",
" fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2], yaxis='y2')]\n",
" \n",
" Example 3:\n",
" # irregular subplot layout (more examples below under 'specs')\n",
" fig = tools.make_subplots(rows=2, cols=2,\n",
" specs=[[{}, {}],\n",
" [{'colspan': 2}, None]])\n",
" \n",
" This is the format of your plot grid!\n",
" [ (1,1) x1,y1 ] [ (1,2) x2,y2 ]\n",
" [ (2,1) x3,y3 - ]\n",
" \n",
" fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2])]\n",
" fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2], xaxis='x2', yaxis='y2')]\n",
" fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2], xaxis='x3', yaxis='y3')]\n",
" \n",
" Example 4:\n",
" # insets\n",
" fig = tools.make_subplots(insets=[{'cell': (1,1), 'l': 0.7, 'b': 0.3}])\n",
" \n",
" This is the format of your plot grid!\n",
" [ (1,1) x1,y1 ]\n",
" \n",
" With insets:\n",
" [ x2,y2 ] over [ (1,1) x1,y1 ]\n",
" \n",
" fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2])]\n",
" fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2], xaxis='x2', yaxis='y2')]\n",
" \n",
" Keywords arguments with constant defaults:\n",
" \n",
" rows (kwarg, int greater than 0, default=1):\n",
" Number of rows in the subplot grid.\n",
" \n",
" cols (kwarg, int greater than 0, default=1):\n",
" Number of columns in the subplot grid.\n",
" \n",
" shared_xaxes (kwarg, boolean or list, default=False)\n",
" Assign shared x axes.\n",
" If True, subplots in the same grid column have one common\n",
" shared x-axis at the bottom of the gird.\n",
" \n",
" To assign shared x axes per subplot grid cell (see 'specs'),\n",
" send list (or list of lists, one list per shared x axis)\n",
" of cell index tuples.\n",
" \n",
" shared_yaxes (kwarg, boolean or list, default=False)\n",
" Assign shared y axes.\n",
" If True, subplots in the same grid row have one common\n",
" shared y-axis on the left-hand side of the gird.\n",
" \n",
" To assign shared y axes per subplot grid cell (see 'specs'),\n",
" send list (or list of lists, one list per shared y axis)\n",
" of cell index tuples.\n",
" \n",
" start_cell (kwarg, 'bottom-left' or 'top-left', default='top-left')\n",
" Choose the starting cell in the subplot grid used to set the\n",
" domains of the subplots.\n",
" \n",
" print_grid (kwarg, boolean, default=True):\n",
" If True, prints a tab-delimited string representation of\n",
" your plot grid.\n",
" \n",
" Keyword arguments with variable defaults:\n",
" \n",
" horizontal_spacing (kwarg, float in [0,1], default=0.2 / cols):\n",
" Space between subplot columns.\n",
" Applies to all columns (use 'specs' subplot-dependents spacing)\n",
" \n",
" vertical_spacing (kwarg, float in [0,1], default=0.3 / rows):\n",
" Space between subplot rows.\n",
" Applies to all rows (use 'specs' subplot-dependents spacing)\n",
" \n",
" specs (kwarg, list of lists of dictionaries):\n",
" Subplot specifications.\n",
" \n",
" ex1: specs=[[{}, {}], [{'colspan': 2}, None]]\n",
" \n",
" ex2: specs=[[{'rowspan': 2}, {}], [None, {}]]\n",
" \n",
" - Indices of the outer list correspond to subplot grid rows\n",
" starting from the bottom. The number of rows in 'specs'\n",
" must be equal to 'rows'.\n",
" \n",
" - Indices of the inner lists correspond to subplot grid columns\n",
" starting from the left. The number of columns in 'specs'\n",
" must be equal to 'cols'.\n",
" \n",
" - Each item in the 'specs' list corresponds to one subplot\n",
" in a subplot grid. (N.B. The subplot grid has exactly 'rows'\n",
" times 'cols' cells.)\n",
" \n",
" - Use None for blank a subplot cell (or to move pass a col/row span).\n",
" \n",
" - Note that specs[0][0] has the specs of the 'start_cell' subplot.\n",
" \n",
" - Each item in 'specs' is a dictionary.\n",
" The available keys are:\n",
" \n",
" * is_3d (boolean, default=False): flag for 3d scenes\n",
" * colspan (int, default=1): number of subplot columns\n",
" for this subplot to span.\n",
" * rowspan (int, default=1): number of subplot rows\n",
" for this subplot to span.\n",
" * l (float, default=0.0): padding left of cell\n",
" * r (float, default=0.0): padding right of cell\n",
" * t (float, default=0.0): padding right of cell\n",
" * b (float, default=0.0): padding bottom of cell\n",
" \n",
" - Use 'horizontal_spacing' and 'vertical_spacing' to adjust\n",
" the spacing in between the subplots.\n",
" \n",
" insets (kwarg, list of dictionaries):\n",
" Inset specifications.\n",
" \n",
" - Each item in 'insets' is a dictionary.\n",
" The available keys are:\n",
" \n",
" * cell (tuple, default=(1,1)): (row, col) index of the\n",
" subplot cell to overlay inset axes onto.\n",
" * is_3d (boolean, default=False): flag for 3d scenes\n",
" * l (float, default=0.0): padding left of inset\n",
" in fraction of cell width\n",
" * w (float or 'to_end', default='to_end') inset width\n",
" in fraction of cell width ('to_end': to cell right edge)\n",
" * b (float, default=0.0): padding bottom of inset\n",
" in fraction of cell height\n",
" * h (float or 'to_end', default='to_end') inset height\n",
" in fraction of cell height ('to_end': to cell top edge)\n",
"\n"
]
}
],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig = tools.make_subplots(rows=2)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"This is the format of your plot grid:\n",
"[ (1,1) x1,y1 ]\n",
"[ (2,1) x2,y2 ]\n",
"\n"
]
}
],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`fig` is a subclass of a `dict`"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print fig"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"{'data': [], 'layout': {'yaxis1': {'domain': [0.575, 1.0], 'anchor': 'x1'}, 'yaxis2': {'domain': [0.0, 0.425], 'anchor': 'x2'}, 'xaxis2': {'domain': [0.0, 1.0], 'anchor': 'y2'}, 'xaxis1': {'domain': [0.0, 1.0], 'anchor': 'y1'}}}\n"
]
}
],
"prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`to.string()` pretty prints the object"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print fig.to_string()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Figure(\n",
" data=Data(),\n",
" layout=Layout(\n",
" xaxis1=XAxis(\n",
" domain=[0.0, 1.0],\n",
" anchor='y1'\n",
" ),\n",
" xaxis2=XAxis(\n",
" domain=[0.0, 1.0],\n",
" anchor='y2'\n",
" ),\n",
" yaxis1=YAxis(\n",
" domain=[0.575, 1.0],\n",
" anchor='x1'\n",
" ),\n",
" yaxis2=YAxis(\n",
" domain=[0.0, 0.425],\n",
" anchor='x2'\n",
" )\n",
" )\n",
")\n"
]
}
],
"prompt_number": 6
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`fig` subclasses a `dict`, so access members just like you would in a `dict`"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig['layout']"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 7,
"text": [
"{'xaxis1': {'anchor': 'y1', 'domain': [0.0, 1.0]},\n",
" 'xaxis2': {'anchor': 'y2', 'domain': [0.0, 1.0]},\n",
" 'yaxis1': {'anchor': 'x1', 'domain': [0.575, 1.0]},\n",
" 'yaxis2': {'anchor': 'x2', 'domain': [0.0, 0.425]}}"
]
}
],
"prompt_number": 7
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"it's a bit different than a straight dictionary because only certain keys are allowed.\n",
"\n",
"each key and value describes something about a plotly graph, so it's pretty strict.\n",
"\n",
"for example, you can't initialize a `Figure` with an invalid key. we'll throw an exception."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"Figure(nonsense=3)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"ename": "PlotlyDictKeyError",
"evalue": "Invalid key, 'nonsense', for class, 'Figure'.\n\nRun 'help(plotly.graph_objs.Figure)' for more information.\n\nPath To Error:\n['nonsense']\n\nAdditional Notes:\nCouldn't find uses for key: 'nonsense'\n\n",
"output_type": "pyerr",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mPlotlyDictKeyError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-9-8f94288fb942>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mFigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnonsense\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m/Users/chris/plotlygithub/python-api/plotly/graph_objs/graph_objs.pyc\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 918\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m'layout'\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 919\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'layout'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mLayout\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 920\u001b[0;31m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 921\u001b[0m \u001b[0mFigure\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m__init__\u001b[0m \u001b[0;31m# override method!\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 922\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/Users/chris/plotlygithub/python-api/plotly/graph_objs/graph_objs.pyc\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 310\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mclass_name\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m'PlotlyTrace'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mclass_name\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m'Trace'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 311\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'type'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mNAME_TO_KEY\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mclass_name\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 312\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalidate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 313\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'PlotlyDict'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 314\u001b[0m warnings.warn(\"\\nThe PlotlyDict class is a base class of \"\n",
"\u001b[0;32m/Users/chris/plotlygithub/python-api/plotly/graph_objs/graph_objs.pyc\u001b[0m in \u001b[0;36mvalidate\u001b[0;34m(self, caller)\u001b[0m\n\u001b[1;32m 598\u001b[0m raise exceptions.PlotlyDictKeyError(obj=self,\n\u001b[1;32m 599\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 600\u001b[0;31m notes=notes)\n\u001b[0m\u001b[1;32m 601\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 602\u001b[0m def to_string(self, level=0, indent=4, eol='\\n',\n",
"\u001b[0;31mPlotlyDictKeyError\u001b[0m: Invalid key, 'nonsense', for class, 'Figure'.\n\nRun 'help(plotly.graph_objs.Figure)' for more information.\n\nPath To Error:\n['nonsense']\n\nAdditional Notes:\nCouldn't find uses for key: 'nonsense'\n\n"
]
}
],
"prompt_number": 9
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"so, which keys are accepted? call `help`! also check out [https://plot.ly/python/reference/](https://plot.ly/python/reference/)"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"help(fig['layout'])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Help on Layout in module plotly.graph_objs.graph_objs object:\n",
"\n",
"class Layout(PlotlyDict)\n",
" | A dictionary-like object containing specification of the layout of a plotly\n",
" | figure.\n",
" | \n",
" | Online examples:\n",
" | \n",
" | https://plot.ly/python/figure-labels/\n",
" | https://plot.ly/python/axes/\n",
" | https://plot.ly/python/bar-charts/\n",
" | https://plot.ly/python/log-plot/\n",
" | \n",
" | Parent key:\n",
" | \n",
" | layout\n",
" | \n",
" | Quick method reference:\n",
" | \n",
" | Layout.update(changes)\n",
" | Layout.strip_style()\n",
" | Layout.get_data()\n",
" | Layout.to_graph_objs()\n",
" | Layout.validate()\n",
" | Layout.to_string()\n",
" | Layout.force_clean()\n",
" | \n",
" | Valid keys:\n",
" | \n",
" | title [required=False] (value=a string):\n",
" | The title of the figure.\n",
" | \n",
" | titlefont [required=False] (value=Font object | dictionary-like object):\n",
" | Links a dictionary-like object describing the font settings of the\n",
" | figure's title.\n",
" | \n",
" | For more, run `help(plotly.graph_objs.Font)`\n",
" | \n",
" | font [required=False] (value=Font object | dictionary-like object):\n",
" | Links a dictionary-like object describing the global font settings\n",
" | for this figure (e.g. all axis titles and labels).\n",
" | \n",
" | For more, run `help(plotly.graph_objs.Font)`\n",
" | \n",
" | showlegend [required=False] (value=a boolean: True | False):\n",
" | Toggle whether or not the legend will be shown in this figure.\n",
" | \n",
" | autosize [required=False] (value=a boolean: True | False):\n",
" | Toggle whether or not the dimensions of the figure are automatically\n",
" | picked by Plotly. Plotly picks figure's dimensions as a function of\n",
" | your machine's display resolution. Once 'autosize' is set to False,\n",
" | the figure's dimensions can be set with 'width' and 'height'.\n",
" | \n",
" | width [required=False] (value=number: x > 0):\n",
" | Sets the width in pixels of the figure you are generating.\n",
" | \n",
" | height [required=False] (value=number: x > 0):\n",
" | Sets the height in pixels of the figure you are generating.\n",
" | \n",
" | xaxis [required=False] (value=XAxis object | dictionary-like object):\n",
" | Links a dictionary-like object describing an x-axis (i.e. an\n",
" | horizontal axis). The first XAxis object can be entered into\n",
" | 'layout' by linking it to 'xaxis' OR 'xaxis1', both keys are\n",
" | identical to Plotly. To create references other than x-axes, you\n",
" | need to define them in 'layout' using keys 'xaxis2', 'xaxis3' and so\n",
" | on. Note that in 3D plots, XAxis objects must be linked from a Scene\n",
" | object.\n",
" | \n",
" | For more, run `help(plotly.graph_objs.XAxis)`\n",
" | \n",
" | yaxis [required=False] (value=YAxis object | dictionary-like object):\n",
" | Links a dictionary-like object describing an y-axis (i.e. an\n",
" | vertical axis). The first YAxis object can be entered into 'layout'\n",
" | by linking it to 'yaxis' OR 'yaxis1', both keys are identical to\n",
" | Plotly. To create references other than y-axes, you need to define\n",
" | them in 'layout' using keys 'yaxis2', 'yaxis3' and so on. Note that\n",
" | in 3D plots, YAxis objects must be linked from a Scene object.\n",
" | \n",
" | For more, run `help(plotly.graph_objs.YAxis)`\n",
" | \n",
" | legend [required=False] (value=Legend object | dictionary-like object):\n",
" | Links a dictionary-like object containing the legend parameters for\n",
" | this figure.\n",
" | \n",
" | For more, run `help(plotly.graph_objs.Legend)`\n",
" | \n",
" | annotations [required=False] (value=Annotations object | list-like\n",
" | object of one or several dictionary-like object):\n",
" | Links a list-like object that contains one or multiple annotation\n",
" | dictionary-like objects.\n",
" | \n",
" | For more, run `help(plotly.graph_objs.Annotations)`\n",
" | \n",
" | margin [required=False] (value=Margin object | dictionary-like object):\n",
" | Links a dictionary-like object containing the margin parameters for\n",
" | this figure.\n",
" | \n",
" | For more, run `help(plotly.graph_objs.Margin)`\n",
" | \n",
" | paper_bgcolor [required=False] (value=a string describing color):\n",
" | Sets the color of the figure's paper (i.e. area representing the\n",
" | canvas of the figure).\n",
" | \n",
" | Examples:\n",
" | 'green' | 'rgb(0, 255, 0)' | 'rgba(0, 255, 0, 0.3)' |\n",
" | 'hsl(120,100%,50%)' | 'hsla(120,100%,50%,0.3)' | '#434F1D'\n",
" | \n",
" | plot_bgcolor [required=False] (value=a string describing color):\n",
" | Sets the background color of the plot (i.e. the area laying inside\n",
" | this figure's axes.\n",
" | \n",
" | Examples:\n",
" | 'green' | 'rgb(0, 255, 0)' | 'rgba(0, 255, 0, 0.3)' |\n",
" | 'hsl(120,100%,50%)' | 'hsla(120,100%,50%,0.3)' | '#434F1D'\n",
" | \n",
" | hovermode [required=False] (value='closest' | 'x' | 'y'):\n",
" | Sets this figure's behavior when a user hovers over it. When set to\n",
" | 'x', all data sharing the same 'x' coordinate will be shown on\n",
" | screen with corresponding trace labels. When set to 'y' all data\n",
" | sharing the same 'y' coordinates will be shown on the screen with\n",
" | corresponding trace labels. When set to 'closest', information about\n",
" | the data point closest to where the viewer is hovering will appear.\n",
" | \n",
" | dragmode [required=False] (value='zoom' | 'pan' | 'rotate' (in 3D\n",
" | plots)):\n",
" | Sets this figure's behavior when a user preforms a mouse 'drag' in\n",
" | the plot area. When set to 'zoom', a portion of the plot will be\n",
" | highlighted, when the viewer exits the drag, this highlighted\n",
" | section will be zoomed in on. When set to 'pan', data in the plot\n",
" | will move along with the viewers dragging motions. A user can always\n",
" | depress the 'shift' key to access the whatever functionality has not\n",
" | been set as the default. In 3D plots, the default drag mode is\n",
" | 'rotate' which rotates the scene.\n",
" | \n",
" | separators [required=False] (value=a two-character string):\n",
" | Sets the decimal (the first character) and thousands (the second\n",
" | character) separators to be displayed on this figure's tick labels\n",
" | and hover mode. This is meant for internationalization purposes. For\n",
" | example, if 'separator' is set to ', ', then decimals are separated\n",
" | by commas and thousands by spaces. One may have to set\n",
" | 'exponentformat' to 'none' in the corresponding axis object(s) to\n",
" | see the effects.\n",
" | \n",
" | barmode [required=False] (value='stack' | 'group' | 'overlay'):\n",
" | For bar and histogram plots only. This sets how multiple bar objects\n",
" | are plotted together. In other words, this defines how bars at the\n",
" | same location appear on the plot. If set to 'stack' the bars are\n",
" | stacked on top of one another. If set to 'group', the bars are\n",
" | plotted next to one another, centered around the shared location. If\n",
" | set to 'overlay', the bars are simply plotted over one another, you\n",
" | may need to set the opacity to see this.\n",
" | \n",
" | bargap [required=False] (value=number: x in [0, 1)):\n",
" | For bar and histogram plots only. Sets the gap between bars (or sets\n",
" | of bars) at different locations.\n",
" | \n",
" | bargroupgap [required=False] (value=number: x in [0, 1)):\n",
" | For bar and histogram plots only. Sets the gap between bars in the\n",
" | same group. That is, when multiple bar objects are plotted and share\n",
" | the same locations, this sets the distance between bars at each\n",
" | location.\n",
" | \n",
" | boxmode [required=False] (value='overlay' | 'group'):\n",
" | For box plots only. Sets how groups of box plots appear. If set to\n",
" | 'overlay', a group of boxes will be plotted directly on top of one\n",
" | another at their specified location. If set to 'group', the boxes\n",
" | will be centered around their shared location, but they will not\n",
" | overlap.\n",
" | \n",
" | boxgap [required=False] (value=number: x in [0, 1)):\n",
" | For box plots only. Sets the gap between boxes at different\n",
" | locations (i.e. x-labels). If there are multiple boxes at a single\n",
" | x-label, then this sets the gap between these sets of boxes.For\n",
" | example, if 0, then there is no gap between boxes. If 0.25, then\n",
" | this gap occupies 25% of the available space and the box width (or\n",
" | width of the set of boxes) occupies the remaining 75%.\n",
" | \n",
" | boxgroupgap [required=False] (value=number: x in [0, 1)):\n",
" | For box plots only. Sets the gap between boxes in the same group,\n",
" | where a group is the set of boxes with the same location (i.e.\n",
" | x-label). For example, if 0, then there is no gap between boxes. If\n",
" | 0.25, then this gap occupies 25% of the available space and the box\n",
" | width occupies the remaining 75%.\n",
" | \n",
" | radialaxis [required=False] (value=RadialAxis object | dictionary-like\n",
" | object):\n",
" | Links a dictionary-like object describing the radial axis in a polar\n",
" | plot.\n",
" | \n",
" | For more, run `help(plotly.graph_objs.RadialAxis)`\n",
" | \n",
" | angularaxis [required=False] (value=AngularAxis object | dictionary-like\n",
" | object):\n",
" | Links a dictionary-like object describing the angular axis in a\n",
" | polar plot.\n",
" | \n",
" | For more, run `help(plotly.graph_objs.AngularAxis)`\n",
" | \n",
" | scene [required=False] (value=Scene object | dictionary-like object):\n",
" | Links a dictionary-like object describing a scene in a 3D plot. The\n",
" | first Scene object can be entered into 'layout' by linking it to\n",
" | 'scene' OR 'scene1', both keys are identical to Plotly. Link\n",
" | subsequent Scene objects using 'scene2', 'scene3', etc.\n",
" | \n",
" | For more, run `help(plotly.graph_objs.Scene)`\n",
" | \n",
" | direction [required=False] (value='clockwise' | 'counterclockwise'):\n",
" | For polar plots only. Sets the direction corresponding to positive\n",
" | angles.\n",
" | \n",
" | orientation [required=False] (value=number: x in [-360, 360]):\n",
" | For polar plots only. Rotates the entire polar by the given angle.\n",
" | \n",
" | hidesources [required=False] (value=a boolean: True | False):\n",
" | Toggle whether or not an annotation citing the data source is placed\n",
" | at the bottom-right corner of the figure.This key has an effect only\n",
" | on graphs that have been generated from forked graphs from plot.ly.\n",
" | \n",
" | Method resolution order:\n",
" | Layout\n",
" | PlotlyDict\n",
" | __builtin__.dict\n",
" | __builtin__.object\n",
" | \n",
" | Methods defined here:\n",
" | \n",
" | __init__(self, *args, **kwargs)\n",
" | \n",
" | force_clean(self, caller=True)\n",
" | Attempts to convert to graph_objs and call force_clean() on values.\n",
" | \n",
" | Calling force_clean() on a Layout will ensure that the object is\n",
" | valid and may be sent to plotly. This process will also remove any\n",
" | entries that end up with a length == 0.\n",
" | \n",
" | Careful! This will delete any invalid entries *silently*.\n",
" | \n",
" | This method differs from the parent (PlotlyDict) method in that it\n",
" | must check for an infinite number of possible axis keys, i.e. 'xaxis',\n",
" | 'xaxis1', 'xaxis2', 'xaxis3', etc. Therefore, it cannot make a call\n",
" | to super...\n",
" | \n",
" | to_graph_objs(self, caller=True)\n",
" | Walk obj, convert dicts and lists to plotly graph objs.\n",
" | \n",
" | For each key in the object, if it corresponds to a special key that\n",
" | should be associated with a graph object, the ordinary dict or list\n",
" | will be reinitialized as a special PlotlyDict or PlotlyList of the\n",
" | appropriate `kind`.\n",
" | \n",
" | to_string(self, level=0, indent=4, eol='\\n', pretty=True, max_chars=80)\n",
" | Returns a formatted string showing graph_obj constructors.\n",
" | \n",
" | Example:\n",
" | \n",
" | print(obj.to_string())\n",
" | \n",
" | Keyword arguments:\n",
" | level (default = 0) -- set number of indentations to start with\n",
" | indent (default = 4) -- set indentation amount\n",
" | eol (default = '\\n') -- set end of line character(s)\n",
" | pretty (default = True) -- curtail long list output with a '...'\n",
" | max_chars (default = 80) -- set max characters per line\n",
" | \n",
" | ----------------------------------------------------------------------\n",
" | Methods inherited from PlotlyDict:\n",
" | \n",
" | __setitem__(self, key, value)\n",
" | \n",
" | get_data(self)\n",
" | Returns the JSON for the plot with non-data elements stripped.\n",
" | \n",
" | get_ordered(self, caller=True)\n",
" | \n",
" | strip_style(self)\n",
" | Strip style from the current representation.\n",
" | \n",
" | All PlotlyDicts and PlotlyLists are guaranteed to survive the\n",
" | stripping process, though they made be left empty. This is allowable.\n",
" | \n",
" | Keys that will be stripped in this process are tagged with\n",
" | `'type': 'style'` in graph_objs_meta.json.\n",
" | \n",
" | This process first attempts to convert nested collections from dicts\n",
" | or lists to subclasses of PlotlyList/PlotlyDict. This process forces\n",
" | a validation, which may throw exceptions.\n",
" | \n",
" | Then, each of these objects call `strip_style` on themselves and so\n",
" | on, recursively until the entire structure has been validated and\n",
" | stripped.\n",
" | \n",
" | update(self, dict1=None, **dict2)\n",
" | Update current dict with dict1 and then dict2.\n",
" | \n",
" | This recursively updates the structure of the original dictionary-like\n",
" | object with the new entries in the second and third objects. This\n",
" | allows users to update with large, nested structures.\n",
" | \n",
" | Note, because the dict2 packs up all the keyword arguments, you can\n",
" | specify the changes as a list of keyword agruments.\n",
" | \n",
" | Examples:\n",
" | # update with dict\n",
" | obj = Layout(title='my title', xaxis=XAxis(range=[0,1], domain=[0,1]))\n",
" | update_dict = dict(title='new title', xaxis=dict(domain=[0,.8]))\n",
" | obj.update(update_dict)\n",
" | obj\n",
" | {'title': 'new title', 'xaxis': {'range': [0,1], 'domain': [0,.8]}}\n",
" | \n",
" | # update with list of keyword arguments\n",
" | obj = Layout(title='my title', xaxis=XAxis(range=[0,1], domain=[0,1]))\n",
" | obj.update(title='new title', xaxis=dict(domain=[0,.8]))\n",
" | obj\n",
" | {'title': 'new title', 'xaxis': {'range': [0,1], 'domain': [0,.8]}}\n",
" | \n",
" | This 'fully' supports duck-typing in that the call signature is\n",
" | identical, however this differs slightly from the normal update\n",
" | method provided by Python's dictionaries.\n",
" | \n",
" | validate(self, caller=True)\n",
" | Recursively check the validity of the keys in a PlotlyDict.\n",
" | \n",
" | The valid keys constitute the entries in each object\n",
" | dictionary in graph_objs_meta.json\n",
" | \n",
" | The validation process first requires that all nested collections be\n",
" | converted to the appropriate subclass of PlotlyDict/PlotlyList. Then,\n",
" | each of these objects call `validate` and so on, recursively,\n",
" | until the entire object has been validated.\n",
" | \n",
" | ----------------------------------------------------------------------\n",
" | Data descriptors inherited from PlotlyDict:\n",
" | \n",
" | __dict__\n",
" | dictionary for instance variables (if defined)\n",
" | \n",
" | __weakref__\n",
" | list of weak references to the object (if defined)\n",
" | \n",
" | ----------------------------------------------------------------------\n",
" | Methods inherited from __builtin__.dict:\n",
" | \n",
" | __cmp__(...)\n",
" | x.__cmp__(y) <==> cmp(x,y)\n",
" | \n",
" | __contains__(...)\n",
" | D.__contains__(k) -> True if D has a key k, else False\n",
" | \n",
" | __delitem__(...)\n",
" | x.__delitem__(y) <==> del x[y]\n",
" | \n",
" | __eq__(...)\n",
" | x.__eq__(y) <==> x==y\n",
" | \n",
" | __ge__(...)\n",
" | x.__ge__(y) <==> x>=y\n",
" | \n",
" | __getattribute__(...)\n",
" | x.__getattribute__('name') <==> x.name\n",
" | \n",
" | __getitem__(...)\n",
" | x.__getitem__(y) <==> x[y]\n",
" | \n",
" | __gt__(...)\n",
" | x.__gt__(y) <==> x>y\n",
" | \n",
" | __iter__(...)\n",
" | x.__iter__() <==> iter(x)\n",
" | \n",
" | __le__(...)\n",
" | x.__le__(y) <==> x<=y\n",
" | \n",
" | __len__(...)\n",
" | x.__len__() <==> len(x)\n",
" | \n",
" | __lt__(...)\n",
" | x.__lt__(y) <==> x<y\n",
" | \n",
" | __ne__(...)\n",
" | x.__ne__(y) <==> x!=y\n",
" | \n",
" | __repr__(...)\n",
" | x.__repr__() <==> repr(x)\n",
" | \n",
" | __sizeof__(...)\n",
" | D.__sizeof__() -> size of D in memory, in bytes\n",
" | \n",
" | clear(...)\n",
" | D.clear() -> None. Remove all items from D.\n",
" | \n",
" | copy(...)\n",
" | D.copy() -> a shallow copy of D\n",
" | \n",
" | fromkeys(...)\n",
" | dict.fromkeys(S[,v]) -> New dict with keys from S and values equal to v.\n",
" | v defaults to None.\n",
" | \n",
" | get(...)\n",
" | D.get(k[,d]) -> D[k] if k in D, else d. d defaults to None.\n",
" | \n",
" | has_key(...)\n",
" | D.has_key(k) -> True if D has a key k, else False\n",
" | \n",
" | items(...)\n",
" | D.items() -> list of D's (key, value) pairs, as 2-tuples\n",
" | \n",
" | iteritems(...)\n",
" | D.iteritems() -> an iterator over the (key, value) items of D\n",
" | \n",
" | iterkeys(...)\n",
" | D.iterkeys() -> an iterator over the keys of D\n",
" | \n",
" | itervalues(...)\n",
" | D.itervalues() -> an iterator over the values of D\n",
" | \n",
" | keys(...)\n",
" | D.keys() -> list of D's keys\n",
" | \n",
" | pop(...)\n",
" | D.pop(k[,d]) -> v, remove specified key and return the corresponding value.\n",
" | If key is not found, d is returned if given, otherwise KeyError is raised\n",
" | \n",
" | popitem(...)\n",
" | D.popitem() -> (k, v), remove and return some (key, value) pair as a\n",
" | 2-tuple; but raise KeyError if D is empty.\n",
" | \n",
" | setdefault(...)\n",
" | D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D\n",
" | \n",
" | values(...)\n",
" | D.values() -> list of D's values\n",
" | \n",
" | viewitems(...)\n",
" | D.viewitems() -> a set-like object providing a view on D's items\n",
" | \n",
" | viewkeys(...)\n",
" | D.viewkeys() -> a set-like object providing a view on D's keys\n",
" | \n",
" | viewvalues(...)\n",
" | D.viewvalues() -> an object providing a view on D's values\n",
" | \n",
" | ----------------------------------------------------------------------\n",
" | Data and other attributes inherited from __builtin__.dict:\n",
" | \n",
" | __hash__ = None\n",
" | \n",
" | __new__ = <built-in method __new__ of type object>\n",
" | T.__new__(S, ...) -> a new object with type S, a subtype of T\n",
"\n"
]
}
],
"prompt_number": 10
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig['layout']['title'] = 'two subplots'"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 11
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`fig.append_trace` is a helper function for binding trace objects to axes. need some help? call `help`!"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"help(fig.append_trace)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Help on method append_trace in module plotly.graph_objs.graph_objs:\n",
"\n",
"append_trace(self, trace, row, col) method of plotly.graph_objs.graph_objs.Figure instance\n",
" Helper function to add a data traces to your figure\n",
" that is bound to axes at the row, col index.\n",
" \n",
" The row, col index is generated from figures created with\n",
" plotly.tools.make_subplots and can be viewed with Figure.print_grid.\n",
" \n",
" Example:\n",
" # stack two subplots vertically\n",
" fig = tools.make_subplots(rows=2)\n",
" \n",
" This is the format of your plot grid:\n",
" [ (1,1) x1,y1 ]\n",
" [ (2,1) x2,y2 ]\n",
" \n",
" fig.append_trace(Scatter(x=[1,2,3], y=[2,1,2]), 1, 1)\n",
" fig.append_trace(Scatter(x=[1,2,3], y=[2,1,2]), 2, 1)\n",
" \n",
" Arguments:\n",
" \n",
" trace (plotly trace object):\n",
" The data trace to be bound.\n",
" \n",
" row (int):\n",
" Subplot row index on the subplot grid (see Figure.print_grid)\n",
" \n",
" col (int):\n",
" Subplot column index on the subplot grid (see Figure.print_grid)\n",
"\n"
]
}
],
"prompt_number": 12
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig.append_trace(Scatter(x=[1,2,3], y=[2,1,2], name='top trace'), 1, 1)\n",
"fig.append_trace(Scatter(x=[1,2,3], y=[2,1,2], name='bottom trace'), 2, 1)\n",
"print fig"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"{'data': [{'name': 'top trace', 'yaxis': 'y1', 'xaxis': 'x1', 'y': [2, 1, 2], 'x': [1, 2, 3], 'type': u'scatter'}, {'name': 'bottom trace', 'yaxis': 'y2', 'xaxis': 'x2', 'y': [2, 1, 2], 'x': [1, 2, 3], 'type': u'scatter'}], 'layout': {'yaxis1': {'domain': [0.575, 1.0], 'anchor': 'x1'}, 'yaxis2': {'domain': [0.0, 0.425], 'anchor': 'x2'}, 'xaxis2': {'domain': [0.0, 1.0], 'anchor': 'y2'}, 'xaxis1': {'domain': [0.0, 1.0], 'anchor': 'y1'}, 'title': 'two subplots'}}\n"
]
}
],
"prompt_number": 13
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print fig.to_string()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Figure(\n",
" data=Data([\n",
" Scatter(\n",
" x=[1, 2, 3],\n",
" y=[2, 1, 2],\n",
" name='top trace',\n",
" xaxis='x1',\n",
" yaxis='y1'\n",
" ),\n",
" Scatter(\n",
" x=[1, 2, 3],\n",
" y=[2, 1, 2],\n",
" name='bottom trace',\n",
" xaxis='x2',\n",
" yaxis='y2'\n",
" )\n",
" ]),\n",
" layout=Layout(\n",
" title='two subplots',\n",
" xaxis1=XAxis(\n",
" domain=[0.0, 1.0],\n",
" anchor='y1'\n",
" ),\n",
" xaxis2=XAxis(\n",
" domain=[0.0, 1.0],\n",
" anchor='y2'\n",
" ),\n",
" yaxis1=YAxis(\n",
" domain=[0.575, 1.0],\n",
" anchor='x1'\n",
" ),\n",
" yaxis2=YAxis(\n",
" domain=[0.0, 0.425],\n",
" anchor='x2'\n",
" )\n",
" )\n",
")\n"
]
}
],
"prompt_number": 14
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"see the two Scatter traces in `fig['data']` above? we just inserted those!\n",
"\n",
"to view this graph, send it over to your plotly account"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"py.iplot(fig, filename='subplot example')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~chris/5296.embed\" height=\"525\" width=\"100%\"></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 16,
"text": [
"<plotly.tools.PlotlyDisplay at 0x10775ae90>"
]
}
],
"prompt_number": 16
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### `tools.make_subplots` can be used to make some pretty sophisticated subplots pretty easily"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### looping through subplots"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"nr = 6\n",
"nc = 6\n",
"fig = tools.make_subplots(rows=nr, cols=nc, print_grid=False)\n",
"\n",
"for i in range(1, nr+1):\n",
" for j in range(1, nc+1):\n",
" fig.append_trace(Scatter(x=[1,2], y=[10,20], name=str(i)+','+str(j)), row=i, col=j)\n",
"\n",
"py.iplot(fig, filename='6x6')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~chris/5297.embed\" height=\"525\" width=\"100%\"></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 18,
"text": [
"<plotly.tools.PlotlyDisplay at 0x10776cc50>"
]
}
],
"prompt_number": 18
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### subplots with shared axes"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig = tools.make_subplots(rows=2, cols=3, shared_yaxes=True, shared_xaxes=True)\n",
"\n",
"fig.append_trace(Scatter(x=[1,2,3], y=[2,1,2]), 1, 1)\n",
"fig.append_trace(Scatter(x=[1,2,3], y=[2,1,2]), 2, 1)\n",
"fig.append_trace(Scatter(x=[1,2,3], y=[2,1,2]), 1, 2)\n",
"fig.append_trace(Scatter(x=[1,2,3], y=[2,1,2]), 2, 2)\n",
"fig.append_trace(Scatter(x=[1,2,3], y=[2,1,2]), 1, 3)\n",
"fig.append_trace(Scatter(x=[1,2,3], y=[2,1,2]), 2, 3)\n",
"\n",
"py.iplot(fig, filename='shared axes')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"This is the format of your plot grid:\n",
"[ (1,1) x1,y1 ] [ (1,2) x2,y1 ] [ (1,3) x3,y1 ]\n",
"[ (2,1) x1,y2 ] [ (2,2) x2,y2 ] [ (2,3) x3,y2 ]\n",
"\n"
]
},
{
"html": [
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~chris/5298.embed\" height=\"525\" width=\"100%\"></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 21,
"text": [
"<plotly.tools.PlotlyDisplay at 0x107773b50>"
]
}
],
"prompt_number": 21
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### use `specs` for subplots with unique arrangements"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig = tools.make_subplots(rows=2, cols=2,\n",
" specs=[[{}, {}],\n",
" [{'colspan': 2}, None]],\n",
" print_grid=True)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"This is the format of your plot grid:\n",
"[ (1,1) x1,y1 ] [ (1,2) x2,y2 ]\n",
"[ (2,1) x3,y3 - ]\n",
"\n"
]
}
],
"prompt_number": 25
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig.append_trace(Scatter(x=[1,2],y=[1,4], name='top left'), 1, 1)\n",
"fig.append_trace(Scatter(x=[1,2],y=[1,4], name='top right'), 1, 2)\n",
"fig.append_trace(Scatter(x=[1,2],y=[1,4], name='bottom'), 2, 1)\n",
"\n",
"py.iplot(fig, filename='specs example')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~chris/5299.embed\" height=\"525\" width=\"100%\"></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 26,
"text": [
"<plotly.tools.PlotlyDisplay at 0x10775a790>"
]
}
],
"prompt_number": 26
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig = tools.make_subplots(rows=5, cols=2,\n",
" specs=[[{}, {'rowspan': 2}],\n",
" [{}, None],\n",
" [{'rowspan': 2, 'colspan': 2}, None],\n",
" [None, None],\n",
" [{}, {}]],\n",
" print_grid=True)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"This is the format of your plot grid:\n",
"[ (1,1) x1,y1 ] [ (1,2) x2,y2 ]\n",
"[ (2,1) x3,y3 ] | \n",
"[ (3,1) x4,y4 - ]\n",
" | | \n",
"[ (5,1) x5,y5 ] [ (5,2) x6,y6 ]\n",
"\n"
]
}
],
"prompt_number": 28
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"the numbers in parentheses are the subplot indices that you can use with `append_trace`"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig.append_trace(Scatter(x=[1,2],y=[1,4],name='(1,1)'), 1, 1)\n",
"fig.append_trace(Scatter(x=[1,2],y=[1,4],name='(2,1)'), 2, 1)\n",
"fig.append_trace(Scatter(x=[1,2],y=[1,4],name='(3,1)'), 3, 1)\n",
"fig.append_trace(Scatter(x=[1,2],y=[1,4],name='(5,1)'), 5, 1)\n",
"\n",
"fig.append_trace(Scatter(x=[1,2],y=[1,4],name='(1,2)'), 1, 2)\n",
"fig.append_trace(Scatter(x=[1,2],y=[1,4],name='(5,2)'), 5, 2)\n",
"\n",
"py.iplot(fig, filename='subplot unique arrangement')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~chris/5300.embed\" height=\"525\" width=\"100%\"></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 29,
"text": [
"<plotly.tools.PlotlyDisplay at 0x10776cb90>"
]
}
],
"prompt_number": 29
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Questions? <support@plot.ly>, [@plotlygraphs](https://twitter.com/plotlygraphs)"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# CSS styling within IPython notebook - feel free to re-use\n",
"from IPython.core.display import HTML\n",
"import urllib2\n",
"\n",
"HTML(urllib2.urlopen('http://bit.ly/1Bf5Hft').read())"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<style>\n",
"\n",
"html {\n",
" font-size: 62.5% !important; }\n",
"body {\n",
" font-size: 1.5em !important; /* currently ems cause chrome bug misinterpreting rems on body element */\n",
" line-height: 1.6 !important;\n",
" font-weight: 400 !important;\n",
" font-family: \"Raleway\", \"HelveticaNeue\", \"Helvetica Neue\", Helvetica, Arial, sans-serif !important;\n",
" color: #222 !important; }\n",
"\n",
"div{ border-radius: 0px !important; }\n",
"div.CodeMirror-sizer{ background: rgb(244, 244, 248) !important; }\n",
"div.input_area{ background: rgb(244, 244, 248) !important; }\n",
"\n",
"div.out_prompt_overlay:hover{ background: rgb(244, 244, 248) !important; }\n",
"div.input_prompt:hover{ background: rgb(244, 244, 248) !important; }\n",
"\n",
"h1, h2, h3, h4, h5, h6 {\n",
" color: #333 !important;\n",
" margin-top: 0 !important;\n",
" margin-bottom: 2rem !important;\n",
" font-weight: 300 !important; }\n",
"h1 { font-size: 4.0rem !important; line-height: 1.2 !important; letter-spacing: -.1rem !important;}\n",
"h2 { font-size: 3.6rem !important; line-height: 1.25 !important; letter-spacing: -.1rem !important; }\n",
"h3 { font-size: 3.0rem !important; line-height: 1.3 !important; letter-spacing: -.1rem !important; }\n",
"h4 { font-size: 2.4rem !important; line-height: 1.35 !important; letter-spacing: -.08rem !important; }\n",
"h5 { font-size: 1.8rem !important; line-height: 1.5 !important; letter-spacing: -.05rem !important; }\n",
"h6 { font-size: 1.5rem !important; line-height: 1.6 !important; letter-spacing: 0 !important; }\n",
"\n",
"@media (min-width: 550px) {\n",
" h1 { font-size: 5.0rem !important; }\n",
" h2 { font-size: 4.2rem !important; }\n",
" h3 { font-size: 3.6rem !important; }\n",
" h4 { font-size: 3.0rem !important; }\n",
" h5 { font-size: 2.4rem !important; }\n",
" h6 { font-size: 1.5rem !important; }\n",
"}\n",
"\n",
"p {\n",
" margin-top: 0 !important; }\n",
" \n",
"a {\n",
" color: #1EAEDB !important; }\n",
"a:hover {\n",
" color: #0FA0CE !important; }\n",
" \n",
"code {\n",
" padding: .2rem .5rem !important;\n",
" margin: 0 .2rem !important;\n",
" font-size: 90% !important;\n",
" white-space: nowrap !important;\n",
" background: #F1F1F1 !important;\n",
" border: 1px solid #E1E1E1 !important;\n",
" border-radius: 4px !important; }\n",
"pre > code {\n",
" display: block !important;\n",
" padding: 1rem 1.5rem !important;\n",
" white-space: pre !important; }\n",
" \n",
"button{ border-radius: 0px !important; }\n",
".navbar-inner{ background-image: none !important; }\n",
"select, textarea{ border-radius: 0px !important; }\n",
"\n",
"</style>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 14,
"text": [
"<IPython.core.display.HTML at 0x10781ea10>"
]
}
],
"prompt_number": 14
}
],
"metadata": {}
}
]
}
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