Plotly is one of my favourite tools for data visualization. When I started writing this blog, plotly graphs were not embedded in the correct format. This is a simple post on how to embed your plotly graphs on a blog/webpage using a Jupyter notebook.

import pandas as pd
from sklearn import datasets

import plotly
import plotly.plotly as py
plotly.tools.set_credentials_file(username='', api_key='')
from plotly.graph_objs import *

import plotly.figure_factory as FF

iris = datasets.load_iris()
iris_df = pd.DataFrame(iris.data, columns=["Sepal_Length","Sepal_Width", "Petal_Length", "Petal_Width"])

class_dict = {0:'Setosa', 1:'Versicolour', 2:'Virginica'}
iris_df['Iris_Class'] = iris.target
iris_df['Iris_Class'] = iris_df['Iris_Class'].map(class_dict)

iris_df.head()

	Sepal_Length	Sepal_Width	Petal_Length	Petal_Width	Iris_Class
0	5.1	3.5	1.4	0.2	Setosa
1	4.9	3.0	1.4	0.2	Setosa
2	4.7	3.2	1.3	0.2	Setosa
3	4.6	3.1	1.5	0.2	Setosa
4	5.0	3.6	1.4	0.2	Setosa

Scatter plot matrix

fig = FF.create_scatterplotmatrix(iris_df, index='Iris_Class',
                                  height=800, width=800, diag='box',
                                 colormap= dict(
                                      Setosa = '#00F5FF',
                                      Versicolour = '#32CD32',
                                      Virginica = '#DAA520'
                                  ),
                                  colormap_type='cat')
plot_url = py.plot(fig, filename = 'Scatter Plot matrix - Iris Dataset', auto_open=False)
print (plot_url)

https://plot.ly/~raunakm90/59

To embed plotly graphs, we need to generate HTML code for the graph. Following piece of code allows us to do it very easily.

import plotly.tools as tls
from IPython.display import HTML

embed_output = tls.get_embed(plot_url, height=900)
HTML(embed_output)

We need to now inlcude this in our html page.