p <- plot_ly(
type = 'contour',
z = matrix(c( 6.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000,
0.2780, 1.0000, 0.8770, -0.8240, -1.0000, -0.9050, 0.1450, 0.9770,
-0.5120, 0.1340, -0.3430, -0.7960, -1.0000, -1.0000, -1.0000, -1.0000), nrow = 3, ncol = 8),
contours = list(
coloring = 'heatmap'
)
)
p# Create a shareable link to your chart
# Set up API credentials: https://plot.ly/r/getting-started
#'@ Sys.setenv("plotly_username"="englianhu")
#'@ Sys.setenv("plotly_api_key"="7gZsXKhH0hmqy0fXgyGH")
#'@ chart_link = api_create(p, filename = 'sample1')
#'@ chart_linkimport plotly
import plotly.plotly as py
from plotly.graph_objs import *
import matplotlib.pyplot as plt
#'@ import numpy as npplotly.tools.set_credentials_file(username='englianhu', api_key='7gZsXKhH0hmqy0fXgyGH')
data = Data([
Contour(
z=[[6.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000],
[0.2780, 1.0000, 0.8770, -0.8240, -1.0000, -0.9050, 0.1450, 0.9770],
[-0.5120, 0.1340, -0.3430, -0.7960, -1.0000, -1.0000, -1.0000, -1.0000]]
)])
#'@ py.iplot(data)
#'@ plotly.offline.iplot(data)
#'@ plt.show(data)
#'@ py.plot(data, filename = 'sample2')
py.iplot(data, filename = 'sample2')https://plot.ly/~englianhu/149/#code
{
"data": [
{
"zsrc": "englianhu:150:",
"z": [
[
6,
-1,
-1,
-1,
-1,
-1,
-1,
-1
],
[
0.278,
1,
0.877,
-0.824,
-1,
-0.905,
0.145,
0.977
],
[
-0.512,
0.134,
-0.343,
-0.796,
-1,
-1,
-1,
-1
]
],
"type": "contour"
}
]
}# Get this figure: fig = py.get_figure("https://plot.ly/~englianhu/149/")
# Get this figure's data: data = py.get_figure("https://plot.ly/~englianhu/149/").get_data()
# Add data to this figure: py.plot(Data([Scatter(x=[1, 2], y=[2, 3])]), filename ="sample2", fileopt="extend")
# Get z data of first trace: z1 = py.get_figure("https://plot.ly/~englianhu/149/").get_data()[0]["z"]
# Get figure documentation: https://plot.ly/python/get-requests/
# Add data documentation: https://plot.ly/python/file-options/
# If you're using unicode in your file, you may need to specify the encoding.
# You can reproduce this figure in Python with the following code!
# Learn about API authentication here: https://plot.ly/python/getting-started
# Find your api_key here: https://plot.ly/settings/api
import plotly.plotly as py
from plotly.graph_objs import *
py.sign_in('username', 'api_key')
trace1 = {
"z": [
[6.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0], [0.278, 1.0, 0.877, -0.824, -1.0, -0.905, 0.145, 0.977], [-0.512, 0.134, -0.343, -0.796, -1.0, -1.0, -1.0, -1.],
"type": "contour",
"zsrc": "englianhu:150:"
}
data = Data([trace1])
fig = Figure(data=data)
plot_url = py.plot(fig)% Get this figure: fig = getplotlyfig('englianhu', 149)
% Get this figure's data: fig = getplotlyfig('englianhu', 149); fig.data
% Add data to this figure: plotly([1, 2], [2, 3], struct('filename', 'sample2', 'fileopt', 'extend'))
% Get z data of first trace: fig = getplotlyfig('englianhu', 149); z1 = fig.data{1}.z
% Get figure documentation: https://plot.ly/matlab/get-requests/
% Add data documentation: https://plot.ly/matlab/file-options/
% You can reproduce this figure in MATLAB with the following code!
% Learn about API authentication here: https://plot.ly/matlab/getting-started
% Find your api_key here: https://plot.ly/settings/api
signin('username', 'api_key')
trace1 = struct(...
'z', [6.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0; 0.278, 1.0, 0.877, -0.824, -1.0, -0.905, 0.145, 0.977; -0.512, 0.134, -0.343, -0.796, -1.0, -1.0, -1.0, -1.0], ...
'type', 'contour', ...
'zsrc', 'englianhu:150:');
data = {trace1};
response = plotly(data);
plot_url = response.url# Get this figure: fig <- get_figure("englianhu", 149)
# Get this figure's data: data <- get_figure("englianhu", 149)$data
# Add data to this figure: p <- add_trace(p, x=c(4, 5), y=c(4, 5), kwargs=list(filename="sample2", fileopt="extend"))
# Get z data of first trace: z1 <- get_figure("englianhu", 149)$data[[1]]$z
# Get figure documentation: https://plot.ly/r/get-requests/
# Add data documentation: https://plot.ly/r/file-options/
# You can reproduce this figure in R with the following code!
# Learn about API authentication here: https://plot.ly/r/getting-started
# Find your api_key here: https://plot.ly/settings/api
library(plotly)
trace1 <- list(
z = matrix(c(6.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 0.278, 1.0, 0.877, -0.824, -1.0, -0.905, 0.145, 0.977, -0.512, 0.134, -0.343, -0.796, -1.0, -1.0, -1.0, -1.0), nrow=3, ncol=8),
type = "contour",
zsrc = "englianhu:150:"
)
data <- list(trace1)
p <- plot_ly()
p <- add_trace(p, z=trace1$z, type=trace1$type, zsrc=trace1$zsrc)/ You can reproduce this figure in plotly.js with the following code!
// Learn more about plotly.js here: https://plot.ly/javascript/getting-started
/* Here's an example minimal HTML template
*
* <!DOCTYPE html>
* <head>
* <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
* </head>
* <body>
* <!-- Plotly chart will be drawn inside this div -->
* <div id="plotly-div"></div>
* <script>
* // JAVASCRIPT CODE GOES HERE
* </script>
* </body>
* </html>
*/
trace1 = {
z: [[6.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0], [0.278, 1.0, 0.877, -0.824, -1.0, -0.905, 0.145, 0.977], [-0.512, 0.134, -0.343, -0.796, -1.0, -1.0, -1.0, -1.0]],
type: 'contour',
zsrc: 'englianhu:150:'
};
data = [trace1];
Plotly.plot('plotly-div', {
data: data
});// You can reproduce this figure in node.js with the following code!
// Learn about API authentication here: https://plot.ly/nodejs/getting-started
// Find your api_key here: https://plot.ly/settings/api
var plotly = require('plotly')('username', 'api_key');
trace1 = {
z: [[6.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0], [0.278, 1.0, 0.877, -0.824, -1.0, -0.905, 0.145, 0.977], [-0.512, 0.134, -0.343, -0.796, -1.0, -1.0, -1.0, -1.0]],
type: 'contour',
zsrc: 'englianhu:150:'
};
data = [trace1];
plotly.plot(data, function(err, msg) {
console.log(msg);
});# Get this figure: p = download_plot("https://plot.ly/~englianhu/149/")
# Get this figure's data: data = download_plot("https://plot.ly/~englianhu/149/").plot.data
# Add data to this figure: post(plot(scatter(x=[1, 2], y=[2, 3])); filename="sample2", fileopt="extend"))
# Get z data of first trace: z1 = download_plot("https://plot.ly/~englianhu/149/").plot.data[1]["z"]
# Get figure documentation: https://plot.ly/julia/get-requests/
# Add data documentation: https://plot.ly/julia/file-options/
# You can reproduce this figure in Julia with the following code!
# Learn about API authentication here: https://plot.ly/julia/getting-started
# Find your api_key here: https://plot.ly/settings/api
using Plotly
Plotly.signin("username", "api_key")
trace1 = contour(Dict(
:z => [6.0 0.278 -0.512; -1.0 1.0 0.134; -1.0 0.877 -0.343; -1.0 -0.824 -0.796; -1.0 -1.0 -1.0; -1.0 -0.905 -1.0; -1.0 0.145 -1.0; -1.0 0.977 -1.0],
:type => "contour",
:zsrc => "englianhu:150:"
))
data = [trace1]
p = plot(data)
response = post(p)
plot_url = response.url