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Commit 9b37184

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Update notebooks
1 parent df98aa9 commit 9b37184

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13 files changed

+71
-47
lines changed

13 files changed

+71
-47
lines changed

‎chapter08_ml/05_svm.ipynb

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" np.linspace(-3, 3, 500))\n",
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"\n",
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"# This function takes a SVM estimator as input.\n",
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"\n",
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"\n",
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"def plot_decision_function(est, title):\n",
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" # We evaluate the decision function on the grid.\n",
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" Z = est.decision_function(np.c_[xx.ravel(),\n",

‎chapter08_ml/08_clustering.ipynb

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"source": [
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"fig, axes = plt.subplots(2, 3,\n",
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" figsize=(10, 7),\n",
154-
" sharex=True,\n",
155-
" sharey=True)\n",
154+
" sharex=True,\n",
155+
" sharey=True)\n",
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"\n",
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"axes[0, 0].scatter(X[:, 0], X[:, 1],\n",
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" c=y, s=30,\n",

‎chapter09_numoptim/02_minimize.ipynb

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"ax.plot(x, y)\n",
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"ax.scatter(x0, f(x0), marker='o', s=300)\n",
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"ax.scatter(xmin, f(xmin), marker='v', s=300,\n",
142-
" zorder=20);\n",
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" zorder=20)\n",
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"ax.set_xlim(-20, 20)"
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]
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},

‎chapter09_numoptim/04_energy.ipynb

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‎chapter10_signal/02_filter.ipynb

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@@ -30,7 +30,7 @@
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"nasdaq_df = pd.read_csv(\n",
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" 'https://github.com/ipython-books/'\n",
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" 'cookbook-2nd-data/blob/master/'\n",
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" 'nasdaq.csv?raw=true',\n",
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" 'nasdaq.csv?raw=true',\n",
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" index_col='Date',\n",
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" parse_dates=['Date'])"
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]

‎chapter11_image/07_synth.ipynb

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"outputs": [],
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"source": [
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"notes = 'C,C#,D,D#,E,F,F#,G,G#,A,A#,B,C'.split(',')\n",
78-
"freqs = 440. * 2 ** (np.arange(3, 17) / 12.)\n",
78+
"freqs = 440. * 2 ** (np.arange(3, 3 + len(notes)) / 12.)\n",
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"notes = list(zip(notes, freqs))"
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]
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},

‎chapter12_deterministic/01_bifurcation.ipynb

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],
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"source": [
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"fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(8, 9),\n",
171-
" sharex=True)\n",
171+
" sharex=True)\n",
172172
"for i in range(iterations):\n",
173173
" x = logistic(r, x)\n",
174174
" # We compute the partial sum of the\n",
@@ -194,7 +194,7 @@
194194
"ax2.set_xlim(2.5, 4)\n",
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"ax2.set_ylim(-2, 1)\n",
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"ax2.set_title(\"Lyapunov exponent\")\n",
197-
"plt.tight_layout();"
197+
"plt.tight_layout()"
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]
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}
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],

‎chapter13_stochastic/01_markov.ipynb

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@@ -147,7 +147,7 @@
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"nsteps_list = [10, 1000, 10000]\n",
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"fig, axes = plt.subplots(1, len(nsteps_list),\n",
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" figsize=(12, 3),\n",
150-
" sharey=True)\n",
150+
" sharey=True)\n",
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"for i, nsteps in enumerate(nsteps_list):\n",
152152
" ax = axes[i]\n",
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" simulate(x, nsteps)\n",

‎chapter14_graphgeo/07_gps.ipynb

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@@ -121,8 +121,8 @@
121121
"outputs": [],
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"source": [
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"def get_path_length(path):\n",
124-
" return np.sum(geocalc(path[1:, 0], path[1:, 1],\n",
125-
" path[:-1, 0], path[:-1, 1]))"
124+
" return np.sum(geocalc(path[1:, 1], path[1:, 0],\n",
125+
" path[:-1, 1], path[:-1, 0]))"
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]
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},
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{
@@ -170,10 +170,11 @@
170170
],
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"source": [
172172
"# Compute the shortest path.\n",
173-
"path = nx.shortest_path(sg,\n",
174-
" source=tuple(nodes[pos0_i]),\n",
175-
" target=tuple(nodes[pos1_i]),\n",
176-
" weight='distance')\n",
173+
"path = nx.shortest_path(\n",
174+
" sg,\n",
175+
" source=tuple(nodes[pos0_i]),\n",
176+
" target=tuple(nodes[pos1_i]),\n",
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" weight='distance')\n",
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"len(path)"
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]
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},
@@ -198,10 +199,10 @@
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}
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],
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"source": [
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"roads = pd.DataFrame([sg.edges[path[i], path[i + 1]]\n",
202-
" for i in range(len(path) - 1)],\n",
203-
" columns=['FULLNAME', 'MTFCC',\n",
204-
" 'RTTYP', 'distance'])\n",
202+
"roads = pd.DataFrame(\n",
203+
" [sg.edges[path[i], path[i + 1]]\n",
204+
" for i in range(len(path) - 1)],\n",
205+
" columns=['FULLNAME', 'MTFCC', 'RTTYP', 'distance'])\n",
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"roads"
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]
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},
@@ -248,8 +249,8 @@
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" p = get_path(path[i], path[i + 1])\n",
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" if curp is None:\n",
250251
" curp = p\n",
251-
" if (np.sum((p[0] - curp)**2) >\n",
252-
" np.sum((p[-1] - curp)**2)):\n",
252+
" if (np.sum((p[0] - curp) ** 2) >\n",
253+
" np.sum((p[-1] - curp) ** 2)):\n",
253254
" p = p[::-1, :]\n",
254255
" p_list.append(p)\n",
255256
" curp = p[-1]\n",

‎chapter15_symbolic/02_solvers.ipynb

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"execution_count": 3,
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"metadata": {
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"podoc": {
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"output_text": "[-√a, √a]"
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"output_text": "Output"
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}
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},
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"outputs": [
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{
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"data": {
5555
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAHAAAAAZBAMAAAAbNbfqAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\njqAoGwXnh/IfoPu3/2rjG9wtVmQy7mEXAAAAAElFTkSuQmCC\n",
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"text/plain": [
57-
"[-√a, √a]"
57+
"Output"
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]
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},
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"metadata": {},
@@ -70,15 +70,15 @@
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"execution_count": 4,
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"metadata": {
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"podoc": {
73-
"output_text": "(-∞ < x ∧ x < -2) ∨ (2 < x ∧ x < ∞)"
73+
"output_text": "Output"
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}
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},
7676
"outputs": [
7777
{
7878
"data": {
7979
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAV4AAAAUBAMAAAA3sUiXAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n",
8080
"text/plain": [
81-
"(-∞ < x ∧ x < -2) ∨ (2 < x ∧ x < ∞)"
81+
"Output"
8282
]
8383
},
8484
"metadata": {},
@@ -95,15 +95,15 @@
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"execution_count": 5,
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"metadata": {
9797
"podoc": {
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"output_text": "{x: 1/5, y: -3/5}"
98+
"output_text": "Output"
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}
100100
},
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"outputs": [
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{
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"data": {
104104
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAKEAAAAyBAMAAADGjaZoAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n",
105105
"text/plain": [
106-
"{x: 1/5, y: -3/5}"
106+
"Output"
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]
108108
},
109109
"metadata": {},
@@ -143,15 +143,15 @@
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"execution_count": 7,
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"metadata": {
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"podoc": {
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"output_text": "{x: -2⋅y - 1}"
146+
"output_text": "Output"
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}
148148
},
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"outputs": [
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{
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"data": {
152152
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAHgAAAAVBAMAAAB/IDdlAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n",
153153
"text/plain": [
154-
"{x: -2⋅y - 1}"
154+
"Output"
155155
]
156156
},
157157
"metadata": {},
@@ -167,15 +167,15 @@
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"execution_count": 8,
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"metadata": {
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"podoc": {
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"output_text": "(a, b, c, d, u, v)"
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"output_text": "Output"
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}
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},
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"outputs": [
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{
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"data": {
176176
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAOAAAAAUBAMAAABmACzdAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nyjJRfiAAAAAASUVORK5CYII=\n",
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"text/plain": [
178-
"(a, b, c, d, u, v)"
178+
"Output"
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]
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},
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"metadata": {},
@@ -240,15 +240,15 @@
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"execution_count": 11,
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"metadata": {
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"podoc": {
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"output_text": "a⋅d - b⋅c"
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"output_text": "Output"
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}
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},
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"outputs": [
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{
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"data": {
249249
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAEEAAAAOBAMAAACC12zPAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAIpmJdu8QRM1mu90y\nVKvMIHo8AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABBUlEQVQYGWNggIFTQTAWmM6KRuGCOX9RhfpQ\nuUAe+zdUITQNQEnmDSgq0DUAJTkUUFQgaWBUVgljYBAyOX8BRQXHEyeggInLAQaGUgGODwzsgQzr\nE1BU5LexfWSQvsDVwMAWycC0gCF1AoMGigKG+wkMnxmCGfguMDB9Y+B2YNBPYNgMUpGxGwR6gCwN\nBrbPQDkgYF3AkH+AIYqB7TuIhwBNDOx/WReA+PkGDPeByhl4P4B4CPATaDpQDgjyLzCs4BX7y8DV\ncBEhDWR9B7qNfwIDwwUGDgfOfcwMLQyzH4A1wFW9ZFjEwPSAIekAA9sTGzl3hjzng08K4LIgRpIT\n0ADjmQ4MAN8RQyLPu/QNAAAAAElFTkSuQmCC\n",
250250
"text/plain": [
251-
"a⋅d - b⋅c"
251+
"Output"
252252
]
253253
},
254254
"metadata": {},

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