Plot.ly

Examples

Bar plot with error bars

Contour plot

Multiple histograms

Box plot

Polar chart

3d line plot

Maps API

Globe

Interactive 3d plot

Data generation

import plotly.plotly as py
import plotly.tools as tls
from plotly.graph_objs import *
from numpy import pi, cos, exp

# Define the function to be plotted
def fxy(x, y, A=1):
    return A*(cos(pi*x*y))**2 * exp(-(x**2+y**2)/2.)

# Choose length of square domain, make row and column vectors
L = 4
x = y = np.arange(-L/2., L/2., 0.1)  # use a mesh spacing of 0.1
yt = y[:, np.newaxis]  # (!) make column vector

# Get surface coordinates!
z = fxy(x, yt)
		

Plotting

data = Data([Surface(z=z, x=x, y=y)])
layout = Layout(title='$f(x,y) = A \cos(\pi x y) e^{-(x^2+y^2)/2}$')
fig = Figure(data=data, layout=layout)
py.iplot(fig, filename='s8_surface')
		

Export to images

Export to images

https://plot.ly/~pydupont/1576/fxy-a-cospi-x-y-e-x2y22.png
https://plot.ly/~pydupont/1576/fxy-a-cospi-x-y-e-x2y22.pdf
https://plot.ly/~pydupont/1576/fxy-a-cospi-x-y-e-x2y22.svg
	    

Export code

https://plot.ly/~pydupont/1576/fxy-a-cospi-x-y-e-x2y22.py
https://plot.ly/~pydupont/1576/fxy-a-cospi-x-y-e-x2y22.r
https://plot.ly/~pydupont/1576/fxy-a-cospi-x-y-e-x2y22.m
https://plot.ly/~pydupont/1576/fxy-a-cospi-x-y-e-x2y22.jl
https://plot.ly/~pydupont/1576/fxy-a-cospi-x-y-e-x2y22.json
https://plot.ly/~pydupont/1576/fxy-a-cospi-x-y-e-x2y22.embed
	    

From a R ggplot2 plot

library(plotly)
py <- plotly(plotly_user, plotly_password)

library(ggplot2)
library(gridExtra)
set.seed(10005)
 
xvar <- c(rnorm(1500, mean = -1), rnorm(1500, mean = 1.5))
yvar <- c(rnorm(1500, mean = 1), rnorm(1500, mean = 1.5))
zvar <- as.factor(c(rep(1, 1500), rep(2, 1500)))
xy <- data.frame(xvar, yvar, zvar)
plot<-ggplot(xy, aes(xvar)) + geom_histogram()
py$ggplotly()  # add this to your ggplot2 script to call plotly
	     

After changing the theme and adding a fit curve

Layout

Original plot

import plotly.plotly as py
from plotly.graph_objs import Histogram, Layout, Data, Figure
import numpy as np

x0 = np.random.randn(500)
x1 = np.random.randn(500)+1

trace1 = Histogram(x=x0)
trace2 = Histogram(x=x1)
data = Data([trace1,trace2])
py.plot(data, filename='overlaid-histogram')
	    

Original plot

Layout changes

trace1 = Histogram(x=x0, opacity=0.75)
trace2 = Histogram(x=x1, opacity=0.75)
data = Data([trace1,trace2])
layout = Layout(
    font=Font(color='rgb(255, 255, 255)'),
    xaxis=XAxis(
        showgrid=False,
        zerolinecolor='rgb(255, 255, 255)',
        zerolinewidth=1.5
    ),
    paper_bgcolor='rgba(0, 0, 0, 0)',
    plot_bgcolor='rgba(0, 0, 0, 0)',
    barmode='overlay',
    bargap=0)
fig = Figure(data=data, layout=layout)
py.plot(fig, filename='overlaid-histogram-layout')
	    

Layout changes