diff --git a/.forgejo/workflows/serve.yaml b/.forgejo/workflows/serve.yaml
index 247f473..5c43a11 100644
--- a/.forgejo/workflows/serve.yaml
+++ b/.forgejo/workflows/serve.yaml
@@ -9,12 +9,12 @@ jobs:
- name: Checkout repository
uses: actions/checkout@v4
- name: Initialize virtual environment
- run: /usr/bin/python -m venv .env
+ run: /usr/bin/python -m venv .venv
- name: Install dependencies
- run: ./.env/bin/pip install mystmd jupyter jupyterlab_myst ipykernel altair pandas
+ run: ./.venv/bin/pip install -r requirements.txt
- name: Build static HTML
run: |
- . .env/bin/activate
+ . .venv/bin/activate
myst build --execute --html
- name: Copy files
run: |
diff --git a/cours/SIN/02-signaux.md b/cours/SIN/02-signaux.md
index 651ccee..b9cbeb5 100644
--- a/cours/SIN/02-signaux.md
+++ b/cours/SIN/02-signaux.md
@@ -32,32 +32,26 @@ et un niveau **bas** ("Low").
:label: fig:sig-logique
```{code-cell} python
:tags: [remove-input]
-import altair as alt
+import matplotlib.pyplot as plt
+from matplotlib import ticker
import numpy as np
-import pandas as pd
rng = np.random.default_rng(25)
n = 16
t = np.arange(n+1)
-s = rng.choice([0, 1], n+1)
-s[-1] = s[-2]
-data = pd.DataFrame({
- "t": t,
- "s": s,
-})
-alt.Chart(
- data
-).mark_line(
- interpolate="step-after",
- strokeWidth=3,
-).encode(
- alt.X("t:Q").axis(title="Temps (s)").scale(domain=(0,n)),
- alt.Y("s:Q", axis=alt.Axis(title="Signal logique", values=[0, 1], format=".0f")).scale(domain=(0,1)),
-).properties(
- width="container",
- height=100,
+s = rng.choice([0, 1], n)
+
+fig, ax = plt.subplots()
+ax.stairs(s, t, lw=3)
+ax.set(
+ xlim=(0, n),
+ ylim=(-.5, 1.5),
+ xlabel="Temps (s)",
+ ylabel="Signal logique",
)
+ax.yaxis.set_major_locator(ticker.MultipleLocator(1))
+ax.xaxis.set_major_locator(ticker.MultipleLocator(1))
```
Exemple de signal logique
````
@@ -77,35 +71,38 @@ Un exemple de signal analogique est donné en @fig:sig-analogique.
:label: fig:sig-analogique
```{code-cell} python
:tags: [remove-input]
-import altair as alt
+import matplotlib.pyplot as plt
+from matplotlib import ticker
import numpy as np
-import pandas as pd
+from scipy.interpolate import CubicSpline
+from scipy.stats import qmc
+
rng = np.random.default_rng(25)
n = 20
t_max = 16
-t = np.linspace(0, t_max, n)
-
+t_base = np.linspace(0, t_max, n)
+lhs = (qmc.LatinHypercube(d=n-2, rng=rng).random(1)[0] - .5) * t_max/n
+t = t_base + np.concatenate(([0], lhs, [0]))
+t = t_base
s = 5 * rng.random(n)
s[-1] = s[-2]
-data = pd.DataFrame({
- "t": t,
- "s": s,
-})
-alt.Chart(
- data
-).mark_line(
- interpolate="basis",
- strokeWidth=3,
-).encode(
- alt.X("t:Q").axis(title="Temps (s)").scale(domain=(0,t_max)),
- alt.Y("s:Q", axis=alt.Axis(title="Signal analogique")).scale(domain=(0,5)),
-).properties(
- width="container",
- height=200,
+
+t_interp = np.linspace(0, t_max, 1024)
+s_interp = np.clip(CubicSpline(t, s)(t_interp), 0, 5)
+
+fig, ax = plt.subplots()
+ax.plot(t_interp, s_interp, lw=3)
+ax.set(
+ xlim=(0, t_max),
+ ylim=(-.5, 5.5),
+ xlabel="Temps (s)",
+ ylabel="Signal analogique",
)
+ax.yaxis.set_major_locator(ticker.MultipleLocator(1))
+ax.xaxis.set_major_locator(ticker.MultipleLocator(1))
```
Exemple de signal analogique
````
@@ -119,32 +116,38 @@ Un exemple de signal analogique est donné en @fig:sig-numerique.
:label: fig:sig-numerique
```{code-cell} python
:tags: [remove-input]
-import altair as alt
+import matplotlib.pyplot as plt
+from matplotlib import ticker
import numpy as np
-import pandas as pd
rng = np.random.default_rng(25)
n = 16
t = np.arange(n+1)
-s = rng.integers(0, 16, n+1)
-s[-1] = s[-2]
-data = pd.DataFrame({
- "t": t,
- "s": s,
-})
-alt.Chart(
- data
-).mark_line(
- interpolate="step-after",
- strokeWidth=3,
-).encode(
- alt.X("t:Q").axis(title="Temps (s)").scale(domain=(0,n)),
- alt.Y("s:Q", axis=alt.Axis(title="Signal numérique", values=np.arange(0, 16))).scale(domain=(0,15)),
-).properties(
- width="container",
- height=200,
+s = rng.integers(0, 16, n)
+
+fig, ax = plt.subplots()
+ax.stairs(s, t, lw=3)
+ax.set(
+ xlim=(0, n),
+ ylim=(-.5, 16.5),
+ xlabel="Temps (s)",
+ ylabel="Signal numérique",
)
+ax.yaxis.set_major_locator(ticker.MultipleLocator(1))
+ax.xaxis.set_major_locator(ticker.MultipleLocator(1))
+# alt.Chart(
+# data
+# ).mark_line(
+# interpolate="step-after",
+# strokeWidth=3,
+# ).encode(
+# alt.X("t:Q").axis(title="Temps (s)").scale(domain=(0,n)),
+# alt.Y("s:Q", axis=alt.Axis(title="Signal numérique", values=np.arange(0, 16))).# scale(domain=(0,15)),
+# ).properties(
+# width="container",
+# height=200,
+# )
```
Exemple de signal numérique
````
\ No newline at end of file
diff --git a/cours/SIN/matplotlibrc b/cours/SIN/matplotlibrc
new file mode 120000
index 0000000..b48e529
--- /dev/null
+++ b/cours/SIN/matplotlibrc
@@ -0,0 +1 @@
+../../matplotlibrc
\ No newline at end of file
diff --git a/matplotlibrc b/matplotlibrc
new file mode 100644
index 0000000..6075cf1
--- /dev/null
+++ b/matplotlibrc
@@ -0,0 +1,43 @@
+lines.linewidth: 3
+
+font.family: Fira Code
+
+image.cmap: inferno
+
+axes.linewidth: 1
+axes.grid: True
+axes.grid.which: major
+axes.titlelocation: right
+axes.titleweight: 700
+axes.axisbelow: True
+
+axes.prop_cycle: cycler(color=["#4269d0","#efb118","#ff725c","#6cc5b0","#3ca951","#ff8ab7","#a463f2","#97bbf5","#9c6b4e","#9498a0"])
+
+axes.formatter.use_locale: True
+
+grid.color: "#bebebe"
+grid.linewidth: 1
+grid.alpha: 1
+
+hatch.linewidth: 8
+hatch.color: "#00000013"
+
+boxplot.showmeans: true
+boxplot.meanprops.markeredgecolor: "k"
+boxplot.meanprops.marker: "+"
+boxplot.flierprops.markerfacecolor: C0
+boxplot.medianprops.color: C0
+
+figure.figsize: 8, 4.5
+figure.dpi: 96
+figure.constrained_layout.use: True
+
+xtick.direction: in
+xtick.major.size: 4
+xtick.minor.size: 2
+
+ytick.direction: in
+ytick.major.size: 4
+ytick.minor.size: 2
+
+savefig.format: pdf
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..0bbb937
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,7 @@
+mystmd
+jupyter-server
+ipykernel
+matplotlib
+numpy
+pandas
+scipy
\ No newline at end of file