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‎2015/04/09/brownian-motion.html‎

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import plotly.plotly as py
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import plotly.graph_objs as go
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import pandas as pd
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import numpy as np
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def brownian_motion(T = 1, N = 100, mu = 0.1, sigma = 0.01, S0 = 20):
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dt = float(T)/N
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t = np.linspace(0, T, N)
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W = np.random.standard_normal(size = N)
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W = np.cumsum(W)*np.sqrt(dt) # standard brownian motion
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X = (mu-0.5*sigma**2)*t + sigma*W
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S = S0*np.exp(X) # geometric brownian motion
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return S
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dates = pd.date_range('2012-01-01', '2013-02-22')
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T = (dates.max()-dates.min()).days / 365
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N = dates.size
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start_price = 100
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y = pd.Series(
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brownian_motion(T, N, sigma=0.1, S0=start_price), index=dates)
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z = pd.Series(
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brownian_motion(T, N, sigma=0.1, S0=start_price), index=dates)
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trace = go.Scatter3d(
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x=dates, y=y, z=z,
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marker=dict(
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size=4,
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color=z,
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colorscale='Viridis',
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),
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line=dict(
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color='#1f77b4',
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width=1
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)
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)
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data = [trace]
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layout = dict(
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width=800,
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height=700,
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autosize=False,
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title='Brownian Motion Instance',
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scene=dict(
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xaxis=dict(
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gridcolor='rgb(255, 255, 255)',
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zerolinecolor='rgb(255, 255, 255)',
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showbackground=True,
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backgroundcolor='rgb(230, 230,230)'
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),
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yaxis=dict(
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gridcolor='rgb(255, 255, 255)',
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zerolinecolor='rgb(255, 255, 255)',
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showbackground=True,
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backgroundcolor='rgb(230, 230,230)'
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),
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zaxis=dict(
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gridcolor='rgb(255, 255, 255)',
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zerolinecolor='rgb(255, 255, 255)',
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showbackground=True,
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backgroundcolor='rgb(230, 230,230)'
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),
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camera=dict(
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up=dict(
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x=0,
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y=0,
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z=1
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),
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eye=dict(
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x=-1.7428,
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y=1.0707,
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z=0.7100,
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)
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),
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aspectratio = dict( x=1, y=1, z=0.7 ),
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aspectmode = 'manual'
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),
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)
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fig = dict(data=data, layout=layout)
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# IPython notebook
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# py.iplot(fig, filename='pandas-brownian-motion-3d', height=700, validate=False)
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url = py.plot(fig, filename='pandas-brownian-motion-3d', height=700, validate=False)
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<!DOCTYPE html>
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<html lang="en-US">
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<meta charset="utf-8">
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<title>Redirecting&hellip;</title>
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<link rel="canonical" href="/python/">
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<script>location="/python/"</script>
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<meta http-equiv="refresh" content="0; url=/python/">
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<meta name="robots" content="noindex">
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<h1>Redirecting&hellip;</h1>
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<a href="/python/">Click here if you are not redirected.</a>
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</html>

‎2015/04/09/elevations-3d-surface.html‎

Lines changed: 11 additions & 30 deletions
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# Learn about API authentication here: https://plotly.com/python/getting-started
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# Find your api_key here: https://plotly.com/settings/api
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import plotly.plotly as py
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import plotly.graph_objs as go
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import pandas as pd
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# Read data from a csv
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z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/api_docs/mt_bruno_elevation.csv')
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data = [
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go.Surface(
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z=z_data.as_matrix()
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)
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]
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layout = go.Layout(
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title='Mt Bruno Elevation',
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autosize=False,
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width=500,
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height=500,
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margin=dict(
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l=65,
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r=50,
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b=65,
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t=90
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)
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)
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fig = go.Figure(data=data, layout=layout)
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plot_url = py.plot(fig, filename='elevations-3d-surface')
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<!DOCTYPE html>
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<html lang="en-US">
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<meta charset="utf-8">
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<title>Redirecting&hellip;</title>
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<link rel="canonical" href="/python/">
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<script>location="/python/"</script>
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<meta http-equiv="refresh" content="0; url=/python/">
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<meta name="robots" content="noindex">
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<h1>Redirecting&hellip;</h1>
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<a href="/python/">Click here if you are not redirected.</a>
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</html>

‎2015/04/09/global-font.html‎

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# Learn about API authentication here: https://plotly.com/python/getting-started
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# Find your api_key here: https://plotly.com/settings/api
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import plotly.plotly as py
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import plotly.graph_objs as go
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data = [
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go.Scatter(
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x=[0, 1, 2, 3, 4, 5, 6, 7, 8],
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y=[0, 1, 2, 3, 4, 5, 6, 7, 8]
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)
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]
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layout = go.Layout(
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title='Global Font',
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font=dict(family='Courier New, monospace', size=18, color='#7f7f7f')
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)
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fig = go.Figure(data=data, layout=layout)
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plot_url = py.plot(fig, filename='global-font')
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<!DOCTYPE html>
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<html lang="en-US">
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<meta charset="utf-8">
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<title>Redirecting&hellip;</title>
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<link rel="canonical" href="/python/">
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<script>location="/python/"</script>
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<meta http-equiv="refresh" content="0; url=/python/">
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<meta name="robots" content="noindex">
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<h1>Redirecting&hellip;</h1>
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<a href="/python/">Click here if you are not redirected.</a>
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</html>

‎2015/04/09/python-change_plot.html‎

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import plotly.plotly as py
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# Learn about API authentication here: https://plotly.com/python/getting-started
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# Find your api_key here: https://plotly.com/settings/api
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fig = py.get_figure("https://plotly.com/~PlotBot/5")
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fig['layout']['title'] = "Never forget that title!"
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plot_url = py.plot(fig, filename="python-change_plot")
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<!DOCTYPE html>
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<html lang="en-US">
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<meta charset="utf-8">
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<title>Redirecting&hellip;</title>
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<link rel="canonical" href="/python/">
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<script>location="/python/"</script>
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<meta http-equiv="refresh" content="0; url=/python/">
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<meta name="robots" content="noindex">
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<h1>Redirecting&hellip;</h1>
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<a href="/python/">Click here if you are not redirected.</a>
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</html>

‎2015/04/09/python-get-data.html‎

Lines changed: 11 additions & 15 deletions
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import plotly.plotly as py
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import plotly.graph_objs as go
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# Learn about API authentication here: https://plotly.com/python/getting-started
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# Find your api_key here: https://plotly.com/settings/api
5-
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data = py.get_figure("https://plotly.com/~AlexHP/68").get_data()
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distance = [d['y'][0] for d in data] # check out the data for yourself!
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fig = go.Figure()
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fig['data'] += [go.Histogram(y=distance, name="flyby distance", histnorm='probability')]
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xaxis = dict(title="Probability for Flyby at this Distance")
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yaxis = dict(title="Distance from Earth (Earth Radii)")
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fig['layout'].update(title="data source: https://plotly.com/~AlexHP/68", xaxis=xaxis, yaxis=yaxis)
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plot_url = py.plot(fig, filename="python-get-data")
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<!DOCTYPE html>
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<html lang="en-US">
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<meta charset="utf-8">
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<title>Redirecting&hellip;</title>
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<link rel="canonical" href="/python/">
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<script>location="/python/"</script>
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<meta http-equiv="refresh" content="0; url=/python/">
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<meta name="robots" content="noindex">
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<h1>Redirecting&hellip;</h1>
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<a href="/python/">Click here if you are not redirected.</a>
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</html>

‎2015/04/09/python-replot1.html‎

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import plotly.plotly as py
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# Learn about API authentication here: https://plotly.com/python/getting-started
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# Find your api_key here: https://plotly.com/settings/api
4-
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fig = py.get_figure("https://plotly.com/~PlotBot/5")
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plot_url = py.plot(fig, filename="python-replot1")
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<!DOCTYPE html>
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<html lang="en-US">
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<meta charset="utf-8">
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<title>Redirecting&hellip;</title>
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<link rel="canonical" href="/python/">
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<script>location="/python/"</script>
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<meta http-equiv="refresh" content="0; url=/python/">
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<meta name="robots" content="noindex">
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<h1>Redirecting&hellip;</h1>
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<a href="/python/">Click here if you are not redirected.</a>
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</html>

‎2015/04/09/python-replot2.html‎

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import plotly.plotly as py
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# Learn about API authentication here: https://plotly.com/python/getting-started
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# Find your api_key here: https://plotly.com/settings/api
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5-
fig = py.get_figure("PlotBot", 5)
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plot_url = py.plot(fig, filename="python-replot2")
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<!DOCTYPE html>
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<html lang="en-US">
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<meta charset="utf-8">
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<title>Redirecting&hellip;</title>
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<link rel="canonical" href="/python/">
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<script>location="/python/"</script>
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<meta http-equiv="refresh" content="0; url=/python/">
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<meta name="robots" content="noindex">
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<h1>Redirecting&hellip;</h1>
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<a href="/python/">Click here if you are not redirected.</a>
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</html>

‎2015/07/15/alpha-shape.html‎

Lines changed: 11 additions & 31 deletions
Original file line numberDiff line numberDiff line change
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import plotly.plotly as py
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import pandas as pd
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df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/alpha_shape.csv')
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df.head()
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scatter = dict(
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mode = "markers",
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name = "y",
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type = "scatter3d",
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x = df['x'], y = df['y'], z = df['z'],
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marker = dict( size=2, color="rgb(23, 190, 207)" )
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)
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clusters = dict(
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alphahull = 7,
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name = "y",
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opacity = 0.1,
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type = "mesh3d",
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x = df['x'], y = df['y'], z = df['z']
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)
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layout = dict(
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title = '3d point clustering',
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scene = dict(
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xaxis = dict( zeroline=False ),
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yaxis = dict( zeroline=False ),
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zaxis = dict( zeroline=False ),
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)
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)
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fig = dict( data=[scatter, clusters], layout=layout )
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# Use py.iplot() for IPython notebook
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url = py.plot(fig, filename='3d point clustering')
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<!DOCTYPE html>
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<html lang="en-US">
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<meta charset="utf-8">
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<title>Redirecting&hellip;</title>
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<link rel="canonical" href="/python/">
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<script>location="/python/"</script>
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<meta http-equiv="refresh" content="0; url=/python/">
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<meta name="robots" content="noindex">
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<h1>Redirecting&hellip;</h1>
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<a href="/python/">Click here if you are not redirected.</a>
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</html>

‎2015/08/28/multiple-3d-surfaces.html‎

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import plotly.plotly as py
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from plotly.graph_objs import Surface
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z1 = [
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[8.83,8.89,8.81,8.87,8.9,8.87],
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[8.89,8.94,8.85,8.94,8.96,8.92],
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[8.84,8.9,8.82,8.92,8.93,8.91],
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[8.79,8.85,8.79,8.9,8.94,8.92],
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[8.79,8.88,8.81,8.9,8.95,8.92],
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[8.8,8.82,8.78,8.91,8.94,8.92],
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[8.75,8.78,8.77,8.91,8.95,8.92],
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[8.8,8.8,8.77,8.91,8.95,8.94],
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[8.74,8.81,8.76,8.93,8.98,8.99],
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[8.89,8.99,8.92,9.1,9.13,9.11],
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[8.97,8.97,8.91,9.09,9.11,9.11],
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[9.04,9.08,9.05,9.25,9.28,9.27],
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[9,9.01,9,9.2,9.23,9.2],
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[8.99,8.99,8.98,9.18,9.2,9.19],
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[8.93,8.97,8.97,9.18,9.2,9.18]
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]
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z2 = [[zij+1 for zij in zi] for zi in z1]
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z3 = [[zij-1 for zij in zi] for zi in z1]
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py.iplot([
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dict(z=z1, type='surface'),
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dict(z=z2, showscale=False, opacity=0.9, type='surface'),
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dict(z=z3, showscale=False, opacity=0.9, type='surface')],
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filename='python-docs/multiple-surfaces')
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<!DOCTYPE html>
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<html lang="en-US">
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<meta charset="utf-8">
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<title>Redirecting&hellip;</title>
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<link rel="canonical" href="/python/">
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<script>location="/python/"</script>
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<meta http-equiv="refresh" content="0; url=/python/">
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<meta name="robots" content="noindex">
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<h1>Redirecting&hellip;</h1>
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<a href="/python/">Click here if you are not redirected.</a>
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</html>

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