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Replace usage of ipywidgets with mo.ui.slider #459

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Replace usage of ipywidgets with mo.ui.slider #459

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13b20d3
Replace usage of ipywidgets with `mo.ui.slider`
eriknw Jul 17, 2025
93e460f
Remove `ipywidgets` from dependencies
eriknw Jul 17, 2025
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60 changes: 30 additions & 30 deletions notebooks/04-advanced/03-stats.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,6 @@
# requires-python = ">=3.13"
# dependencies = [
# "ipython==9.1.0",
# "ipywidgets==8.1.6",
# "marimo",
# "matplotlib==3.10.1",
# "nams==0.0.2",
Expand Down Expand Up @@ -460,22 +459,23 @@ def _(mo):


@app.cell
def _(G, ecdf, nx, pd, plt):
from ipywidgets import interact, IntSlider

m = IntSlider(value=2, min=1, max=10)
def _(mo):
m_slider = mo.ui.slider(start=1, stop=10, label="m", value=2)
return (m_slider,)

@interact(m=m)
def compare_barabasi_albert_graph(m):
fig, ax = plt.subplots()
G_ba = nx.barabasi_albert_graph(n=len(G.nodes()), m=m)
_x, _y = ecdf(pd.Series(dict(nx.degree(G_ba))))
ax.scatter(_x, _y, label="Barabasi-Albert Graph")
_x, _y = ecdf(pd.Series(dict(nx.degree(G))))
ax.scatter(_x, _y, label="Protein Interaction Network")
ax.legend()

return (interact,)
@app.cell
def _(G, ecdf, m_slider, mo, nx, pd, plt):
_fig, _ax = plt.subplots()
_G_ba = nx.barabasi_albert_graph(n=len(G.nodes()), m=m_slider.value)
_x, _y = ecdf(pd.Series(dict(nx.degree(_G_ba))))
_ax.scatter(_x, _y, label="Barabasi-Albert Graph")
_x, _y = ecdf(pd.Series(dict(nx.degree(G))))
_ax.scatter(_x, _y, label="Protein Interaction Network")
_ax.legend()
_ax.set_title(f"m={m_slider.value}")
mo.vstack([mo.md(f"{m_slider} {m_slider.value}"), _ax], align="center")
return


@app.cell(hide_code=True)
Expand All @@ -485,22 +485,22 @@ def _(mo):


@app.cell
def _(G, ecdf, interact, nx, pd, plt):
from ipywidgets import FloatSlider

p = FloatSlider(value=0.6, min=0, max=0.1, step=0.001)

@interact(p=p)
def compare_erdos_renyi_graph(p):
fig, ax = plt.subplots()
G_er = nx.erdos_renyi_graph(n=len(G.nodes()), p=p)
_x, _y = ecdf(pd.Series(dict(nx.degree(G_er))))
ax.scatter(_x, _y, label="Erdos-Renyi Graph")
_x, _y = ecdf(pd.Series(dict(nx.degree(G))))
ax.scatter(_x, _y, label="Protein Interaction Network")
ax.legend()
ax.set_title(f"p={p}")
def _(mo):
p_slider = mo.ui.slider(start=0, stop=0.1, step=0.001, label="p", value=0.006)
return (p_slider,)


@app.cell
def _(G, ecdf, mo, nx, p_slider, pd, plt):
_fig, _ax = plt.subplots()
_G_er = nx.erdos_renyi_graph(n=len(G.nodes()), p=p_slider.value)
_x, _y = ecdf(pd.Series(dict(nx.degree(_G_er))))
_ax.scatter(_x, _y, label="Erdos-Renyi Graph")
_x, _y = ecdf(pd.Series(dict(nx.degree(G))))
_ax.scatter(_x, _y, label="Protein Interaction Network")
_ax.legend()
_ax.set_title(f"p={p_slider.value}")
mo.vstack([mo.md(f"{p_slider} {p_slider.value}"), _ax], align="center")
return


Expand Down
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