Update: you can have only one py-script block for now. I removed the example one, and just left matplotlib example.

Pyscrypt has just been released and I feel I had to give it a go straight up from my blog.

The usage seems to be pretty straightforward:

  • you drop the link to the pyscrip.js in the HTML, and then you have the new <py-script> tag where you can write Python. Standard Python.
    For example the code below actually gets transformed into a string with the content Now you can! 
<pre>
<link rel="stylesheet" href="https://pyscript.net/alpha/pyscript.css" />
<script defer src="https://pyscript.net/alpha/pyscript.js"></script>

<div id="target"></div>
<py-script output="target"> 
from datetime import datetime
now = datetime.now()

</py-script>
</pre>

which produce the following result! 

        
        



 
from datetime import datetime
now = datetime.now()
#print("What time is it?")
#print("Computed directly from Python: " + now.strftime("%m/%d/%Y, %H:%M:%S"))

#print("Now you can use Python within the browser natively!")

Interestingly, you have the full Python arsenal at your disposal.

This code creates a matplotlib plot:

<pre>
<link rel="stylesheet" href="https://pyscript.net/alpha/pyscript.css">
<script defer src="https://pyscript.net/alpha/pyscript.js"></script>
<py-config>
      packages = ["matplotlib", "numpy"]
</py-config>
<div id="mpl"></div>
<py-script output="mpl">
import matplotlib.pyplot as plt
import matplotlib.tri as tri
import numpy as np

# First create the x and y coordinates of the points.
n_angles = 36
n_radii = 8
min_radius = 0.25
radii = np.linspace(min_radius, 0.95, n_radii)

angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False)
angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
angles[:, 1::2] += np.pi / n_angles

x = (radii * np.cos(angles)).flatten()
y = (radii * np.sin(angles)).flatten()
z = (np.cos(radii) * np.cos(3 * angles)).flatten()

# Create the Triangulation; no triangles so Delaunay triangulation created.
triang = tri.Triangulation(x, y)

# Mask off unwanted triangles.
triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),
                         y[triang.triangles].mean(axis=1))
                < min_radius)

fig1, ax1 = plt.subplots()
ax1.set_aspect('equal')
tpc = ax1.tripcolor(triang, z, shading='flat')
fig1.colorbar(tpc)
ax1.set_title('tripcolor of Delaunay triangulation, flat shading')

fig1
</py-script>
</pre>
        
 
 

      packages = ["matplotlib", "numpy"]




import matplotlib.pyplot as plt
import matplotlib.tri as tri
import numpy as np

# First create the x and y coordinates of the points.
n_angles = 36
n_radii = 8
min_radius = 0.25
radii = np.linspace(min_radius, 0.95, n_radii)

angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False)
angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
angles[:, 1::2] += np.pi / n_angles

x = (radii * np.cos(angles)).flatten()
y = (radii * np.sin(angles)).flatten()
z = (np.cos(radii) * np.cos(3 * angles)).flatten()

# Create the Triangulation; no triangles so Delaunay triangulation created.
triang = tri.Triangulation(x, y)

# Mask off unwanted triangles.
triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),
                         y[triang.triangles].mean(axis=1))
                < min_radius)

fig1, ax1 = plt.subplots()
ax1.set_aspect('equal')
tpc = ax1.tripcolor(triang, z, shading='flat')
fig1.colorbar(tpc)
ax1.set_title('tripcolor of Delaunay triangulation, flat shading')
display(fig1, target="graph-area", append=False)

Note: If you are trying to use the <py-script></py-script> on wordpress, using a Custom element block, you need to wrap the code with <pre></pre> otherwise wordpress will texturize the text, changing the characters to some more pleasing to the eye. However the HTML is actually executed by the py-script and it will not understand this link.