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michaelbabynmichaelbabyn
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update version check for basic charts in python/version2
1 parent 24f61f9 commit 0542e13

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‎_posts/python-version2/basic/area/2015-06-30-area.html

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‎_posts/python-version2/basic/area/area.ipynb

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"<br>You can set up Plotly to work in [online](https://plot.ly/python/getting-started/#initialization-for-online-plotting) or [offline](https://plot.ly/python/getting-started/#initialization-for-offline-plotting) mode, or in [jupyter notebooks](https://plot.ly/python/getting-started/#start-plotting-online).\n",
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"<br>We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!\n",
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"#### Version Check\n",
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"Plotly's python package is updated frequently. Run `pip install plotly --upgrade` to use the latest version. "
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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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"outputs": [
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{
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"data": {
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"text/plain": [
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"'3.1.1'"
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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\n",
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"plotly.__version__"
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"This is documentation for version 2 of plotly.py. See the [changelog](https://github.com/plotly/plotly.py/blob/master/CHANGELOG.md#270---2018-05-23) for differences between package versions."
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]
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{
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"source": [
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"#### Basic Overlaid Area Chart"
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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/~PythonPlotBot/429.embed\" height=\"525px\" width=\"100%\"></iframe>"
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"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~PythonPlotBot/2887.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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")\n",
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"\n",
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"data = [trace1, trace2]\n",
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"py.iplot(data, filename='basic-area')"
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"py.iplot(data, filename='basic-area-v2')"
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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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"metadata": {
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"collapsed": true
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},
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"source": [
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"#### Overlaid Area Chart Without Boundary Lines"
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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/~PythonPlotBot/431.embed\" height=\"525px\" width=\"100%\"></iframe>"
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"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~PythonPlotBot/2889.embed\" height=\"525px\" width=\"100%\"></iframe>"
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"text/plain": [
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"<plotly.tools.PlotlyDisplay object>"
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")\n",
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"\n",
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"data = [trace1, trace2]\n",
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"py.iplot(data, filename='basic-area-no-bound')"
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"py.iplot(data, filename='basic-area-no-bound-v2')"
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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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"metadata": {
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"collapsed": true
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},
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"source": [
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"#### Interior Filling for Area Chart"
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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/~PythonPlotBot/433.embed\" height=\"525px\" width=\"100%\"></iframe>"
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"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~PythonPlotBot/2891.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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")\n",
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"\n",
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"data = [trace0, trace1]\n",
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"py.iplot(data, filename='filling-interior-area')"
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"py.iplot(data, filename='filling-interior-area-v2')"
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]
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{
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"source": [
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"#### Stacked Area Chart"
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"### Stacked Area Chart with Cumulative Values"
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]
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},
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{
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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/~PythonPlotBot/437.embed\" height=\"525px\" width=\"100%\"></iframe>"
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"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~PythonPlotBot/2893.embed\" height=\"525px\" width=\"100%\"></iframe>"
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"text/plain": [
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"<plotly.tools.PlotlyDisplay object>"
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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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"\n",
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"# Add original data\n",
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"x=['Winter', 'Spring', 'Summer', 'Fall']\n",
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"\n",
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"trace0 = dict(\n",
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" x=x,\n",
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" y=[40, 60, 40, 10],\n",
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" hoverinfo='x+y',\n",
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"trace0 = go.Scatter(\n",
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" x=['Winter', 'Spring', 'Summer', 'Fall'],\n",
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" y=['40', '20', '30', '40'],\n",
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" mode='lines',\n",
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" line=dict(width=0.5,\n",
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" color='rgb(131, 90, 241)'),\n",
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" stackgroup='one'\n",
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" color='rgb(184, 247, 212)'),\n",
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" fill='tonexty'\n",
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")\n",
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"trace1 = dict(\n",
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" x=x,\n",
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" y=[20, 10, 10, 60],\n",
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" hoverinfo='x+y',\n",
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"trace1 = go.Scatter(\n",
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" x=['Winter', 'Spring', 'Summer', 'Fall'],\n",
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" y=['50', '70', '40', '60'],\n",
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" mode='lines',\n",
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" line=dict(width=0.5,\n",
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" color='rgb(111, 231, 219)'),\n",
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" stackgroup='one'\n",
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" fill='tonexty'\n",
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")\n",
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"trace2 = dict(\n",
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" x=x,\n",
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" y=[40, 30, 50, 30],\n",
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" hoverinfo='x+y',\n",
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"trace2 = go.Scatter(\n",
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" x=['Winter', 'Spring', 'Summer', 'Fall'],\n",
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" y=['70', '80', '60', '70'],\n",
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" mode='lines',\n",
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" line=dict(width=0.5,\n",
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" color='rgb(184, 247, 212)'),\n",
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" stackgroup='one'\n",
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" color='rgb(127, 166, 238)'),\n",
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" fill='tonexty'\n",
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")\n",
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"data = [trace0, trace1, trace2]\n",
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"\n",
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"fig = dict(data=data)\n",
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"py.iplot(fig, filename='stacked-area-plot-hover', validate=False)"
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"trace3 = go.Scatter(\n",
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" x=['Winter', 'Spring', 'Summer', 'Fall'],\n",
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" y=['100', '100', '100', '100'],\n",
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" mode='lines',\n",
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" line=dict(width=0.5,\n",
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" color='rgb(131, 90, 241)'),\n",
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" fill='tonexty'\n",
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")\n",
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"data = [trace0, trace1, trace2, trace3]\n",
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"layout = go.Layout(\n",
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" showlegend=True,\n",
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" xaxis=dict(\n",
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" type='category',\n",
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" ),\n",
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" yaxis=dict(\n",
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" type='linear',\n",
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" range=[1, 100],\n",
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" dtick=20,\n",
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" ticksuffix='%'\n",
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" )\n",
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")\n",
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"fig = go.Figure(data=data, layout=layout)\n",
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"py.iplot(fig, filename='stacked-area-plot-v2')"
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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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"### Stacked Area Chart with Normalized Values"
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"#### Stacked Area Chart with Original Values"
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]
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{
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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/~PythonPlotBot/2805.embed\" height=\"525px\" width=\"100%\"></iframe>"
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"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~PythonPlotBot/2895.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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"import plotly.plotly as py\n",
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"import plotly.graph_objs as go\n",
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"\n",
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"trace0 = dict(\n",
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" x=['Winter', 'Spring', 'Summer', 'Fall'],\n",
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" y=['40', '20', '30', '40'],\n",
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"# Add original data\n",
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"x=['Winter', 'Spring', 'Summer', 'Fall']\n",
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"\n",
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"y0_org=[40, 60, 40, 10]\n",
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"y1_org=[20, 10, 10, 60]\n",
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"y2_org=[40, 30, 50, 30]\n",
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"\n",
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"# Add data to create cumulative stacked values\n",
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"y0_stck=y0_org\n",
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"y1_stck=[y0+y1 for y0, y1 in zip(y0_org, y1_org)]\n",
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"y2_stck=[y0+y1+y2 for y0, y1, y2 in zip(y0_org, y1_org, y2_org)]\n",
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"\n",
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"# Make original values strings and add % for hover text\n",
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"y0_txt=[str(y0)+'%' for y0 in y0_org]\n",
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"y1_txt=[str(y1)+'%' for y1 in y1_org]\n",
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"y2_txt=[str(y2)+'%' for y2 in y2_org]\n",
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"\n",
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"trace0 = go.Scatter(\n",
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" x=x,\n",
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" y=y0_stck,\n",
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" text=y0_txt,\n",
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" hoverinfo='x+text',\n",
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" mode='lines',\n",
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" color='rgb(184, 247, 212)'),\n",
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" stackgroup='one',\n",
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" groupnorm='percent'\n",
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" color='rgb(131, 90, 241)'),\n",
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" fill='tonexty'\n",
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")\n",
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"trace1 = dict(\n",
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" x=['Winter', 'Spring', 'Summer', 'Fall'],\n",
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" y=['50', '70', '40', '60'],\n",
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"trace1 = go.Scatter(\n",
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" x=x,\n",
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" y=y1_stck,\n",
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" text=y1_txt,\n",
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" hoverinfo='x+text',\n",
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" color='rgb(111, 231, 219)'),\n",
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" stackgroup='one'\n",
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")\n",
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"trace2 = dict(\n",
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" x=['Winter', 'Spring', 'Summer', 'Fall'],\n",
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" y=['70', '80', '60', '70'],\n",
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" mode='lines',\n",
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" line=dict(width=0.5,\n",
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" color='rgb(127, 166, 238)'),\n",
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" stackgroup='one'\n",
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" fill='tonexty'\n",
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")\n",
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"trace3 = dict(\n",
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" x=['Winter', 'Spring', 'Summer', 'Fall'],\n",
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" y=['100', '100', '100', '100'],\n",
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"trace2 = go.Scatter(\n",
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" x=x,\n",
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" y=y2_stck,\n",
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" text=y2_txt,\n",
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" hoverinfo='x+text',\n",
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" color='rgb(131, 90, 241)'),\n",
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" stackgroup='one'\n",
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")\n",
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"data = [trace0, trace1, trace2, trace3]\n",
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"layout = go.Layout(\n",
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" showlegend=True,\n",
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" xaxis=dict(\n",
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" type='category',\n",
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" ),\n",
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" yaxis=dict(\n",
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" type='linear',\n",
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" range=[1, 100],\n",
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" dtick=20,\n",
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" ticksuffix='%'\n",
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" )\n",
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" color='rgb(184, 247, 212)'),\n",
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" fill='tonexty'\n",
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"fig = dict(data=data, layout=layout)\n",
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"py.iplot(fig, filename='stacked-area-plot-norm', validate=False)"
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"data = [trace0, trace1, trace2]\n",
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"\n",
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"fig = go.Figure(data=data)\n",
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"py.iplot(fig, filename='stacked-area-plot-hover-v2')"
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]
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{
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"data": {
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"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~PythonPlotBot/2502.embed\" height=\"525px\" width=\"100%\"></iframe>"
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"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~PythonPlotBot/2897.embed\" height=\"525px\" width=\"100%\"></iframe>"
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"<plotly.tools.PlotlyDisplay object>"
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"fig = go.Figure(data=data,layout=layout)\n",
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"py.iplot(data, filename='select-hover-points')"
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"py.iplot(data, filename='select-hover-points-v2')"
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"cell_type": "code",
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{
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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 /tmp/pip-req-build-ewWF0_\n",
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" Cloning https://github.com/plotly/publisher.git to /tmp/pip-req-build-QQFrBt\n",
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"Building wheels for collected packages: publisher\n",
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" Running setup.py bdist_wheel for publisher ... \u001b[?25ldone\n",
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"\u001b[?25h Stored in directory: /tmp/pip-ephem-wheel-cache-zaYWOc/wheels/99/3e/a0/fbd22ba24cca72bdbaba53dbc23c1768755fb17b3af0f33966\n",
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"\u001b[?25h Stored in directory: /tmp/pip-ephem-wheel-cache-Se8qIh/wheels/99/3e/a0/fbd22ba24cca72bdbaba53dbc23c1768755fb17b3af0f33966\n",
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"Successfully built publisher\n",
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"Installing collected packages: publisher\n",
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" Found existing installation: publisher 0.11\n",
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" Uninstalling publisher-0.11:\n",
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" Successfully uninstalled publisher-0.11\n",
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"Successfully installed publisher-0.11\n",
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"\u001b[33mYou are using pip version 10.0.1, however version 18.0 is available.\n",
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"\u001b[33mYou are using pip version 10.0.1, however version 18.1 is available.\n",
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"You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
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]
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 1
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}

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