{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Plotly shapes\n",
"\n",
"
"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import plotly.plotly as py"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"gvallverdu306 = py.get_figure('https://plot.ly/~gvallverdu/249/bands-diagram-of-silicon.py')\n",
"gvallverdu306['data'] = gvallverdu306['data'][0:8]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### tickmode array"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"gvallverdu306['layout']['xaxis']['tickmode'] = 'array'\n",
"gvallverdu306['layout']['xaxis']['showticklabels'] = True\n",
"\n",
"gvallverdu306['layout']['xaxis']['tickvals'] = [\n",
" 0, 20, 40, 60, 80, 120, 140, 159\n",
"]\n",
"\n",
"gvallverdu306['layout']['xaxis']['ticktext'] = [\n",
" \"L\", \"Λ\", \"Γ\", \"Δk\",\n",
" \"X\", \"K\", \"Σ\", \"Γ\"\n",
"]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**N.B.** This is a new plotly feature that hasn't made it into the python-api yet.\n",
"\n",
"We must turn off validatation in order to use it."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"py.iplot(\n",
" gvallverdu306,\n",
" validate=False,\n",
" filename='tickvals-ticktext'\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Shapes "
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"vals = [0, 20, 40, 60, 80, 120, 140, 159]\n",
"\n",
"gvallverdu306['layout']['shapes'] = []\n",
"\n",
"for val in vals:\n",
" gvallverdu306['layout']['shapes'].append({\n",
" 'type': 'line',\n",
" 'xref': 'x',\n",
" 'x0': val,\n",
" 'x1': val,\n",
" 'yref': 'paper',\n",
" 'y0': 0,\n",
" 'y1': 1,\n",
" 'opacity': 0.6 \n",
" })"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"py.iplot(\n",
" gvallverdu306,\n",
" validate=False,\n",
" filename='tickvals-ticktext-shapes'\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"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()))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 0
}