Got rid of section numbering, as it was messing up online nbviewer.
This commit is contained in:
Roger Labbe
parent
292c551b9e
commit
37fab5f35e
@ -1,7 +1,7 @@
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{
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"metadata": {
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"name": "",
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"signature": "sha256:e85b556b7979c2e385fb28768abbe1f3b234b9f3f9d9d9981bba5a945cc7d551"
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"signature": "sha256:0cee74bbc347583f138d62e7fd98e2e82f11b90e2398c10fbe7f66c865143a76"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -25,11 +25,7 @@
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"from __future__ import division, print_function\n",
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"import matplotlib.pyplot as plt\n",
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"import book_format\n",
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"book_format.load_style()\n",
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"\n",
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"#%install_ext secnum.py\n",
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"#%load_ext secnum\n",
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"#%secnum"
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"book_format.load_style()"
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],
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"language": "python",
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"metadata": {},
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@ -246,13 +242,13 @@
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],
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 2,
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"prompt_number": 1,
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"text": [
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"<IPython.core.display.HTML at 0x1e888d0>"
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"<IPython.core.display.HTML at 0x2ae6710>"
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]
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}
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],
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"prompt_number": 2
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"prompt_number": 1
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},
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{
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"cell_type": "heading",
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@ -1,7 +1,7 @@
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{
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"metadata": {
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"name": "",
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"signature": "sha256:0429c90c9b36cc68cd59fe76a34a2102793651fe7412e585c4ea6398f50fd99a"
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"signature": "sha256:aff9b578dbba090922a2bed55d3d82911a7c3fc265cd40e9f17e68bbab2ce8e5"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -25,11 +25,7 @@
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"from __future__ import division, print_function\n",
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"import matplotlib.pyplot as plt\n",
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"import book_format\n",
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"book_format.load_style()\n",
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"\n",
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"#%install_ext secnum.py\n",
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"#%load_ext secnum\n",
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"#%secnum"
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"book_format.load_style()"
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],
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"language": "python",
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"metadata": {},
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@ -1,7 +1,7 @@
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{
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"metadata": {
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"name": "",
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"signature": "sha256:cd6116a16a3f1c69eb33c20e75304e2535541d84c9849c2e98cdfccb2c84b043"
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"signature": "sha256:851817f6127dcb57f996a34cf3bafc84f994f38c764af97eb71a8442b62cae41"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -25,10 +25,7 @@
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"from __future__ import division, print_function\n",
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"import matplotlib.pyplot as plt\n",
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"import book_format\n",
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"book_format.load_style()\n",
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"%install_ext https://raw.github.com/dpsanders/ipython_extensions/master/section_numbering/secnum.py\n",
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"%load_ext secnum\n",
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"%secnum"
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"book_format.load_style()"
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],
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"language": "python",
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"metadata": {},
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1275
Gaussians.ipynb
1275
Gaussians.ipynb
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@ -1,7 +1,7 @@
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"signature": "sha256:b896371b827d48a658ba791bdaf8bed2d0c3878ddeea9731b9cd40ec8f9df021"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -25,10 +25,7 @@
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"from __future__ import division, print_function\n",
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"import matplotlib.pyplot as plt\n",
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"import book_format\n",
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"book_format.load_style()\n",
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"%install_ext https://raw.github.com/dpsanders/ipython_extensions/master/section_numbering/secnum.py\n",
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"%load_ext secnum\n",
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"%secnum"
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"book_format.load_style()"
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],
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"language": "python",
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"metadata": {},
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@ -25,10 +25,7 @@
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"from __future__ import division, print_function\n",
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"import matplotlib.pyplot as plt\n",
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"import book_format\n",
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"book_format.load_style()\n",
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"%install_ext https://raw.github.com/dpsanders/ipython_extensions/master/section_numbering/secnum.py\n",
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"%load_ext secnum\n",
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"%secnum"
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"book_format.load_style()"
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],
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"language": "python",
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"metadata": {},
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@ -1,7 +1,7 @@
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{
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"metadata": {
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"name": "",
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"signature": "sha256:9099cd7daae7d707a0f40a82136404f387af52df47c58d57a63f06db7c28b2bc"
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"signature": "sha256:fdd9588156d15653acb028f0f53de8dea2e5576bfa2c820eb3ee2128eda73c13"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -25,10 +25,7 @@
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"from __future__ import division, print_function\n",
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"import matplotlib.pyplot as plt\n",
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"import book_format\n",
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"book_format.load_style()\n",
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"%install_ext https://raw.github.com/dpsanders/ipython_extensions/master/section_numbering/secnum.py\n",
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"%load_ext secnum\n",
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"%secnum"
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"book_format.load_style()"
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],
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"language": "python",
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"metadata": {},
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@ -25,10 +25,7 @@
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"from __future__ import division, print_function\n",
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"import matplotlib.pyplot as plt\n",
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"import book_format\n",
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"book_format.load_style()\n",
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"%install_ext https://raw.github.com/dpsanders/ipython_extensions/master/section_numbering/secnum.py\n",
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"%load_ext secnum\n",
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"%secnum"
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"book_format.load_style()"
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],
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"language": "python",
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"metadata": {},
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@ -1,7 +1,7 @@
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{
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"metadata": {
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"name": "",
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"signature": "sha256:a99c80ee33c889d337e7c98906135c5be7203be21423375ba59d0399563d8508"
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"signature": "sha256:f0360fc9458bd40069073ce91309aab5fcae24de06b9e4ddd9a1b31f7c2e3b96"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -25,101 +25,227 @@
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"from __future__ import division, print_function\n",
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"import matplotlib.pyplot as plt\n",
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"import book_format\n",
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"book_format.load_style()\n",
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"%install_ext https://raw.github.com/dpsanders/ipython_extensions/master/section_numbering/secnum.py\n",
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"%load_ext secnum\n",
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"%secnum"
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"book_format.load_style()"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"Installed secnum.py. To use it, type:\n",
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" %load_ext secnum\n"
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]
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},
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{
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"javascript": [
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"console.log(\"Section numbering...\");\n",
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"\n",
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"function number_sections(threshold) {\n",
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"\n",
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" var h1_number = 0;\n",
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" var h2_number = 0;\n",
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"\n",
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" if (threshold === undefined) {\n",
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" threshold = 2; // does nothing so far\n",
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" }\n",
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"\n",
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" var cells = IPython.notebook.get_cells();\n",
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" \n",
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" for (var i=0; i < cells.length; i++) {\n",
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"\n",
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" var cell = cells[i];\n",
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" if (cell.cell_type !== 'heading') continue;\n",
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" \n",
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" var level = cell.level;\n",
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" if (level > threshold) continue;\n",
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" \n",
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" if (level === 1) {\n",
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" \n",
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" h1_number ++;\n",
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" var h1_element = cell.element.find('h1');\n",
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" var h1_html = h1_element.html();\n",
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" \n",
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" console.log(\"h1_html: \" + h1_html);\n",
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"\n",
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" var patt = /^[0-9]+\\.\\s(.*)/; // section number at start of string\n",
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" var title = h1_html.match(patt); // just the title\n",
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"\n",
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" if (title != null) { \n",
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" h1_element.html(h1_number + \". \" + title[1]);\n",
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" }\n",
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" else {\n",
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" h1_element.html(h1_number + \". \" + h1_html);\n",
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" }\n",
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" \n",
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" h2_number = 0;\n",
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" \n",
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"html": [
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"<style>\n",
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" div.cell{\n",
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" width: 850px;\n",
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" margin-left: 0% !important;\n",
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" margin-right: auto;\n",
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" }\n",
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" \n",
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" if (level === 2) {\n",
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" \n",
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" h2_number ++;\n",
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" \n",
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" var h2_element = cell.element.find('h2');\n",
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" var h2_html = h2_element.html();\n",
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"\n",
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" console.log(\"h2_html: \" + h2_html);\n",
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"\n",
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" \n",
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" var patt = /^[0-9]+\\.[0-9]+\\.\\s/;\n",
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" var result = h2_html.match(patt);\n",
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"\n",
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" if (result != null) {\n",
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" h2_html = h2_html.replace(result, \"\");\n",
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" }\n",
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"\n",
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" h2_element.html(h1_number + \".\" + h2_number + \". \" + h2_html);\n",
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" \n",
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" div.text_cell code {\n",
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" background: #F6F6F9;\n",
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" color: #0000FF;\n",
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" }\n",
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" h1 {\n",
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" font-family: 'Open sans',verdana,arial,sans-serif;\n",
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"\t}\n",
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"\t\n",
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" div.input_area {\n",
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" background: #F6F6F9;\n",
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" border: 1px solid #586e75;\n",
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" }\n",
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" \n",
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" }\n",
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" \n",
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"}\n",
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"\n",
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"number_sections();\n",
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"\n",
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"// $([IPython.evnts]).on('create.Cell', number_sections);\n",
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"\n",
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"$([IPython.events]).on('selected_cell_type_changed.Notebook', number_sections);\n",
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"\n"
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" .text_cell_render h1 {\n",
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" font-weight: 200;\n",
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" font-size: 30pt;\n",
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" line-height: 100%;\n",
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" color:#c76c0c;\n",
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" margin-bottom: 0.5em;\n",
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" margin-top: 1em;\n",
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" display: block;\n",
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" white-space: wrap;\n",
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" } \n",
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" h2 {\n",
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" font-family: 'Open sans',verdana,arial,sans-serif;\n",
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" }\n",
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" .text_cell_render h2 {\n",
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" font-weight: 200;\n",
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" font-size: 20pt;\n",
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" font-style: italic;\n",
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" line-height: 100%;\n",
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" color:#c76c0c;\n",
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" margin-bottom: 0.5em;\n",
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" margin-top: 1.5em;\n",
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" display: block;\n",
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" white-space: nowrap;\n",
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" } \n",
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" h3 {\n",
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" font-family: 'Open sans',verdana,arial,sans-serif;\n",
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" }\n",
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" .text_cell_render h3 {\n",
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" font-weight: 300;\n",
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" font-size: 18pt;\n",
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" line-height: 100%;\n",
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" color:#d77c0c;\n",
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" margin-bottom: 0.5em;\n",
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" margin-top: 2em;\n",
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" display: block;\n",
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" white-space: nowrap;\n",
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" }\n",
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" h4 {\n",
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" font-family: 'Open sans',verdana,arial,sans-serif;\n",
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" }\n",
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" .text_cell_render h4 {\n",
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" font-weight: 300;\n",
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" font-size: 16pt;\n",
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" color:#d77c0c;\n",
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" margin-bottom: 0.5em;\n",
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" margin-top: 0.5em;\n",
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" display: block;\n",
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" white-space: nowrap;\n",
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" }\n",
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" h5 {\n",
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" font-family: 'Open sans',verdana,arial,sans-serif;\n",
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" }\n",
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" .text_cell_render h5 {\n",
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" font-weight: 300;\n",
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" font-style: normal;\n",
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" color: #1d3b84;\n",
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" font-size: 16pt;\n",
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" margin-bottom: 0em;\n",
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" margin-top: 1.5em;\n",
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" display: block;\n",
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" white-space: nowrap;\n",
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" }\n",
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" div.text_cell_render{\n",
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" font-family: 'Open sans',verdana,arial,sans-serif;\n",
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" line-height: 135%;\n",
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" font-size: 110%;\n",
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" width:750px;\n",
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" margin-left:auto;\n",
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" margin-right:auto;\n",
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" text-justify:inter-word;\n",
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" }\n",
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" div.output_subarea.output_text.output_pyout {\n",
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" overflow-x: auto;\n",
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" overflow-y: scroll;\n",
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" }\n",
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" div.output_subarea.output_stream.output_stdout.output_text {\n",
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" overflow-x: auto;\n",
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" overflow-y: scroll;\n",
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" font-size: 70%;\n",
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" background-color: transparent;\n",
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" }\n",
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" ul{\n",
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" margin: 2em;\n",
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" }\n",
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" ul li{\n",
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" margin-top: 0.2em; \n",
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" ol li{\n",
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" margin-top: 0.5em; \n",
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" }\n",
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" ul li{\n",
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" padding-left: 0.5em; \n",
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" }\n",
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" color:#447adb;\n",
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" }\n",
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" .rendered_html :link {\n",
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" text-decoration: underline; \n",
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" }\n",
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" .rendered_html :hover {\n",
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" text-decoration: none; \n",
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" }\n",
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" .rendered_html :visited {\n",
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" text-decoration: none;\n",
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" }\n",
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" .rendered_html :focus {\n",
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" text-decoration: none;\n",
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" }\n",
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" .rendered_html :active {\n",
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" text-decoration: none;\n",
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" }\n",
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" .warning{\n",
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" color: rgb( 240, 20, 20 )\n",
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" } \n",
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" hr {\n",
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2091
discrete_bayes.ipynb
2091
discrete_bayes.ipynb
File diff suppressed because one or more lines are too long
@ -1,7 +1,7 @@
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@ -25,10 +25,7 @@
|
||||
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|
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|
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"import book_format\n",
|
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@ -28,7 +28,7 @@
|
||||
"Introduction to the Kalman filter. Explanation of the idea behind this book.\n",
|
||||
"Yes, it is more or less the preface restated. will edit and delete one or the other.\n",
|
||||
"\n",
|
||||
"[**Chapter 0: Signals and Noise**](Nada)\n",
|
||||
"[**Chapter 0: Signals and Noise**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/Signals_and_Noise.ipynb)\n",
|
||||
"\n",
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|
||||
"\n",
|
||||
@ -39,7 +39,7 @@
|
||||
"Intuitive introduction to the g-h filter, which is a family of filters that includes the Kalman filter. Not filler - once you understand this chapter you will understand the concepts behind the Kalman filter. \n",
|
||||
"\n",
|
||||
"\n",
|
||||
"[**Chapter 2: The Discrete Bayes Filter**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/histogram_filter.ipynb)\n",
|
||||
"[**Chapter 2: The Discrete Bayes Filter**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/discrete_bayes.ipynb)\n",
|
||||
"\n",
|
||||
"Introduces the Discrete Bayes Filter. From this you will learn the probabilistic reasoning that underpins the Kalman filter in an easy to digest form.\n",
|
||||
" \n",
|
||||
@ -64,7 +64,7 @@
|
||||
"We gotten about as far as we can without forming a strong mathematical foundation. This chapter is optional, especially the first time, but if you intend to write robust, numerically stable filters, or to read the literature, you will need to know this.\n",
|
||||
" \n",
|
||||
"\n",
|
||||
"[**Chapter 7: Designing Kalman Filters**](not implemented)\n",
|
||||
"[**Chapter 7: Designing Kalman Filters**](http://nbviewer.ipython.org/urls/raw.github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/Designing_Kalman_Filters.ipynb)\n",
|
||||
"\n",
|
||||
"Building on material in Chapter 5, walks you through the design of several Kalman filters. Discusses, but does not solve issues like numerical stability.\n",
|
||||
" \n",
|
||||
|
||||
Loading…
Reference in New Issue
Block a user