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remove backend matplotlib.use('nbagg') and add ipympl #33

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remove backend matplotlib.use('nbagg') and add ipympl #33

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a7b7e5e
remove backend matplotlib.use('nbagg') and add ipympl
hasibzunair Oct 27, 2019
968ef29
resolve issues in notebooks 1 and 3
hasibzunair Oct 28, 2019
832a895
keep canonical examples un-run in notebooks 2, 4 and 5
hasibzunair Oct 28, 2019
5146771
added %matplotlib widget
hasibzunair Oct 28, 2019
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98 changes: 74 additions & 24 deletions AnatomyOfMatplotlib-Part0-Intro2NumPy.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,10 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
Expand All @@ -24,7 +27,10 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
Expand All @@ -43,7 +49,10 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
Expand All @@ -57,7 +66,10 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
Expand All @@ -71,7 +83,10 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
Expand All @@ -93,7 +108,10 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
Expand All @@ -112,7 +130,10 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
Expand All @@ -131,7 +152,10 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
Expand All @@ -143,7 +167,10 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
Expand All @@ -155,7 +182,10 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
Expand All @@ -170,7 +200,10 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
Expand All @@ -182,7 +215,10 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
Expand All @@ -201,9 +237,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"metadata": {},
"outputs": [],
"source": [
"print(\"Shape of X:\", x.shape)\n",
Expand All @@ -221,7 +255,10 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
Expand All @@ -246,7 +283,10 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
Expand All @@ -261,7 +301,10 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
Expand All @@ -271,27 +314,34 @@
"z = x * y\n",
"print(z.shape)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"display_name": "Python 3",
"language": "python",
"name": "python2"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.12"
"pygments_lexer": "ipython3",
"version": "3.6.8"
}
},
"nbformat": 4,
"nbformat_minor": 0
"nbformat_minor": 4
}
46 changes: 18 additions & 28 deletions AnatomyOfMatplotlib-Part1-Figures_Subplots_and_layouts.ipynb
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Expand Up @@ -5,6 +5,9 @@
"execution_count": null,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
},
"slideshow": {
"slide_type": "-"
}
Expand Down Expand Up @@ -87,33 +90,9 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"If you are working interactively at an (I)python prompt, the GUI framework is not critical (mostly aesthetic) however when working in Jupyter we need to pick a backend that integrates with Jupyter (javascript) framework.\n",
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This is still useful content for people who will are reading this that will mostly work at a prompt. Can it just be re-worrked rather than fully deleted?

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Added that part back. Hope that's fine.

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Is this alright, or needs rephrasing?

"\n",
"To select the backend use ``matplotlib.use(\"backend_name\")``, in this case we want ``'nbagg'``\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"matplotlib.use('nbagg')\n",
"print(matplotlib.get_backend())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"which must be done *before* you `import matplotlib.pyplot as plt`.\n",
"\n",
"You can also set the backend via an 'ipython magic' ``%matplotlib backend_name``. In addition to setting the backend, the magic also calls `plt.ion()`, which puts Matplotlib in 'interacitve mode' (the inverse is `plt.ioff()`). In 'interactive mode' figures are shown (injected into the web page in the notebook) as soon as they are created. Otherwise, figures are not shown until you explicitly call `plt.show()`.\n",
"\n",
"\n",
"In these tutorials we will mostly work in non-interactive mode for better control of when\n",
"figures are shown in the notebooks.\n",
"This also better mimics the behavior you can expect in regular python scripts.\n"
"This also better mimics the behavior you can expect in regular python scripts."
]
},
{
Expand Down Expand Up @@ -436,7 +415,18 @@
"metadata": {},
"outputs": [],
"source": [
"%load exercises/1.1-subplots_and_basic_plotting.py"
"# %load exercises/1.1-subplots_and_basic_plotting.py\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Try to reproduce the figure shown in images/exercise_1-1.png\n",
"\n",
"# Our data...\n",
"x = np.linspace(0, 10, 100)\n",
"y1, y2, y3 = np.cos(x), np.cos(x + 1), np.cos(x + 2)\n",
"names = ['Signal 1', 'Signal 2', 'Signal 3']\n",
"\n",
"# Can you figure out what to do next to plot x vs y1, y2, and y3 on one figure?\n"
]
},
{
Expand Down Expand Up @@ -475,9 +465,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
"version": "3.6.8"
}
},
"nbformat": 4,
"nbformat_minor": 1
"nbformat_minor": 4
}
48 changes: 43 additions & 5 deletions AnatomyOfMatplotlib-Part2-Plotting_Methods_Overview.ipynb
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Expand Up @@ -54,7 +54,6 @@
"from __future__ import print_function\n",
"import numpy as np\n",
"import matplotlib\n",
"matplotlib.use('nbagg')\n",
"import matplotlib.pyplot as plt"
]
},
Expand Down Expand Up @@ -234,7 +233,31 @@
"metadata": {},
"outputs": [],
"source": [
"%load exercises/2.1-bar_and_fill_between.py"
"# %load exercises/2.1-bar_and_fill_between.py\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"np.random.seed(1)\n",
"\n",
"# Generate data...\n",
"y_raw = np.random.randn(1000).cumsum() + 15\n",
"x_raw = np.linspace(0, 24, y_raw.size)\n",
"\n",
"# Get averages of every 100 samples...\n",
"x_pos = x_raw.reshape(-1, 100).min(axis=1)\n",
"y_avg = y_raw.reshape(-1, 100).mean(axis=1)\n",
"y_err = y_raw.reshape(-1, 100).ptp(axis=1)\n",
"\n",
"bar_width = x_pos[1] - x_pos[0]\n",
"\n",
"# Make a made up future prediction with a fake confidence\n",
"x_pred = np.linspace(0, 30)\n",
"y_max_pred = y_avg[0] + y_err[0] + 2.3 * x_pred\n",
"y_min_pred = y_avg[0] - y_err[0] + 1.2 * x_pred\n",
"\n",
"# Just so you don't have to guess at the colors...\n",
"barcolor, linecolor, fillcolor = 'wheat', 'salmon', 'lightblue'\n",
"\n",
"# Now you're on your own!\n"
]
},
{
Expand Down Expand Up @@ -417,7 +440,22 @@
"metadata": {},
"outputs": [],
"source": [
"%load exercises/2.2-vmin_vmax_imshow_and_colorbars.py"
"# %load exercises/2.2-vmin_vmax_imshow_and_colorbars.py\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"np.random.seed(1)\n",
"\n",
"# Generate random data with different ranges...\n",
"data1 = np.random.random((10, 10))\n",
"data2 = 2 * np.random.random((10, 10))\n",
"data3 = 3 * np.random.random((10, 10))\n",
"\n",
"# Set up our figure and axes...\n",
"fig, axes = plt.subplots(ncols=3, figsize=plt.figaspect(0.5))\n",
"fig.tight_layout() # Make the subplots fill up the figure a bit more...\n",
"cax = fig.add_axes([0.25, 0.1, 0.55, 0.03]) # Add an axes for the colorbar\n",
"\n",
"# Now you're on your own!\n"
]
},
{
Expand Down Expand Up @@ -462,9 +500,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.6"
"version": "3.6.8"
}
},
"nbformat": 4,
"nbformat_minor": 1
"nbformat_minor": 4
}
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