Remove ipywidgets from matsuyama lecture (#185)

* Remove ipywidgets

* add no-execute for widgets

* Add import

---------

Co-authored-by: Matt McKay <mmcky@users.noreply.github.com>

Author: kp992

lectures/matsuyama.md

@@ -3,8 +3,10 @@ jupytext:
   text_representation:
     extension: .md
     format_name: myst
+    format_version: 0.13
+    jupytext_version: 1.16.4
 kernelspec:
-  display_name: Python 3
+  display_name: Python 3 (ipykernel)
   language: python
   name: python3
 ---
@@ -38,7 +40,7 @@ In particular, as trade costs fall and international competition increases, inno
 
 Let's start with some imports:
 
-```{code-cell} ipython
+```{code-cell} ipython3
 import numpy as np
 import matplotlib.pyplot as plt
 from numba import jit
@@ -335,7 +337,7 @@ These are the `@jit` statements that you see below (review [this lecture](https:
 
 Here's the main body of code
 
-```{code-cell} python3
+```{code-cell} ipython3
 @jit(nopython=True)
 def _hj(j, nk, s1, s2, θ, δ, ρ):
     """
@@ -651,9 +653,9 @@ The time series share parameters but differ in their initial condition.
 
 Here's the function
 
-```{code-cell} python3
+```{code-cell} ipython3
 def plot_timeseries(n1_0, n2_0, s1=0.5, θ=2.5,
-        δ=0.7, ρ=0.2, ax=None, title=''):
+                    δ=0.7, ρ=0.2, ax=None, title=''):
     """
     Plot a single time series with initial conditions
     """
@@ -735,7 +737,8 @@ Replicate the figure {ref}`shown above <matsrep>` by coloring initial conditions
 ```{solution-start} matsuyama_ex1
 :class: dropdown
 ```
-```{code-cell} python3
+
+```{code-cell} ipython3
 def plot_attraction_basis(s1=0.5, θ=2.5, δ=0.7, ρ=0.2, npts=250, ax=None):
     if ax is None:
         fig, ax = plt.subplots()
@@ -790,16 +793,21 @@ in real-time. Below we use an interactive plot to do this.
 
 Note, interactive plotting requires the [ipywidgets](https://github.com/jupyter-widgets/ipywidgets) module to be installed and enabled.
 
-```{code-cell} python3
+```{note}
+This interactive plot is disabled on this static webpage.
+In order to use this, we recommend to run this notebook locally.
+```
+
+```{code-cell} ipython3
+:class: no-execute
+
 def interact_attraction_basis(ρ=0.2, maxiter=250, npts=250):
     # Create the figure and axis that we will plot on
     fig, ax = plt.subplots(figsize=(12, 10))
-
     # Create model and attraction basis
     s1, θ, δ = 0.5, 2.5, 0.75
     model = MSGSync(s1, θ, δ, ρ)
     ab = model.create_attraction_basis(maxiter=maxiter, npts=npts)
-
     # Color map with colormesh
     unitrange = np.linspace(0, 1, npts)
     cf = ax.pcolormesh(unitrange, unitrange, ab, cmap="viridis")
@@ -809,11 +817,14 @@ def interact_attraction_basis(ρ=0.2, maxiter=250, npts=250):
     return None
 ```
 
-```{code-cell} python3
+```{code-cell} ipython3
+:class: no-execute
+
 fig = interact(interact_attraction_basis,
                ρ=(0.0, 1.0, 0.05),
                maxiter=(50, 5000, 50),
                npts=(25, 750, 25))
 ```
+
 ```{solution-end}
 ```