plotly

Links: notebook, html, PDF, python, slides, GitHub

plotly became open source - it was not at the beginning -, it proposes a large gallery of javascript graphs. plotly also offers to host dashboards built with plotly.

The first script usually returns an exception:

PlotlyLocalCredentialsError: Couldn’t find a ‘username’, ‘api-key’ pair for you on your local machine. To sign in temporarily (until you stop running Python), run: >>> import plotly.plotly as py >>> py.sign_in(‘username’, ‘api_key’)

Even better, save your credentials permanently using the ‘tools’ module: >>> import plotly.tools as tls >>> tls.set_credentials_file(username=’username’, api_key=’api-key’)

For more help, see https://plot.ly/python.

But there exists an offline mode.

documentation source installation tutorial gallerie

Autres liens : styles de texte en python ou styles de text en javascript

from jyquickhelper import add_notebook_menu
add_notebook_menu()

Enable plotly in a notebook

# import cufflinks  # does not seem to be needed anymore
# import chart_studio.plotly as py
from plotly.offline import init_notebook_mode
init_notebook_mode(connected=True)

Example from the documentation

import plotly.offline as py  # replace plotly.plotly by plotly.offline
import plotly.graph_objs as go

# Create random data with numpy
import numpy as np

N = 1000
random_x = np.random.randn(N)
random_y = np.random.randn(N)

# Create a trace
trace = go.Scatter(
    x = random_x,
    y = random_y,
    mode = 'markers'
)

data = [trace]

# Plot and embed in ipython notebook!
py.iplot(data, filename='basic-scatter')

pandas and plotly

from sklearn.datasets import load_iris
import pandas
data = load_iris()
df = pandas.DataFrame(data["data"])
df.head()

	0	1	2	3
0	5.1	3.5	1.4	0.2
1	4.9	3.0	1.4	0.2
2	4.7	3.2	1.3	0.2
3	4.6	3.1	1.5	0.2
4	5.0	3.6	1.4	0.2

# cufflinks.go_offline()  # to draw within the notebook
# df.iplot() # issue with PlotlyLocalCredentialsError

from matplotlib to plotly

%matplotlib inline

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 1, 500)
y = np.sin(4 * np.pi * x) * np.exp(-5 * x)

fig, ax = plt.subplots()

ax.fill(x, y, zorder=10)
ax.grid(True, zorder=5);

# convert one figure matplotlib en plotly, not fully working
# from IPython.display import HTML
# print(py.plot_mpl(fig, output_type="div"))