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Commitc96a925

Browse files
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Fixes#26
 - /mpl-data/sample_data/axes_grid folder appears to no longer exists as of matplotlib v2.2.2 - added /assets folder in repo containing dependent numpy pickle, 'bivariate_normal.npy' file - revised load of data in AnatomyOfMatplotlib-Part2-Plotting_Methods_Overview.ipynb to reflect this change - tested successfully with matplotlib v2.2.2 and python v3.6.6
1 parent6f0be51 commitc96a925

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2 files changed

+35
-3
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2 files changed

+35
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‎AnatomyOfMatplotlib-Part2-Plotting_Methods_Overview.ipynb

Lines changed: 35 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -269,6 +269,38 @@
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"# Now you're on your own!\n"
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]
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},
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{
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"cell_type":"code",
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"execution_count":null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"np.random.seed(1)\n",
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"\n",
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"# Generate data...\n",
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"y_raw = np.random.randn(1000).cumsum() + 15\n",
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"x_raw = np.linspace(0, 24, y_raw.size)\n",
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"\n",
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"# Get averages of every 100 samples...\n",
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"x_pos = x_raw.reshape(-1, 100).min(axis=1)\n",
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"y_avg = y_raw.reshape(-1, 100).mean(axis=1)\n",
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"y_err = y_raw.reshape(-1, 100).ptp(axis=1)\n",
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"\n",
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"bar_width = x_pos[1] - x_pos[0]\n",
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"\n",
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"# Make a made up future prediction with a fake confidence\n",
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"x_pred = np.linspace(0, 30)\n",
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"y_max_pred = y_avg[0] + y_err[0] + 2.3 * x_pred\n",
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"y_min_pred = y_avg[0] - y_err[0] + 1.2 * x_pred\n",
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"\n",
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"# Just so you don't have to guess at the colors...\n",
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"barcolor, linecolor, fillcolor = 'wheat', 'salmon', 'lightblue'\n",
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"\n",
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"# Now you're on your own!\n"
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]
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},
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{
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"cell_type":"markdown",
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"metadata": {},
@@ -305,7 +337,7 @@
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"outputs": [],
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"source": [
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"from matplotlib.cbook import get_sample_data\n",
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"data = np.load(get_sample_data('axes_grid/bivariate_normal.npy'))\n",
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"data = np.load('assets/bivariate_normal.npy')\n",
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"\n",
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"fig, ax = plt.subplots()\n",
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"im = ax.imshow(data, cmap='gist_earth')\n",
@@ -370,7 +402,7 @@
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"outputs": [],
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"source": [
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"from matplotlib.cbook import get_sample_data\n",
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"data = np.load(get_sample_data('axes_grid/bivariate_normal.npy'))\n",
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"data = np.load('assets/bivariate_normal.npy')\n",
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"\n",
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"fig, ax = plt.subplots()\n",
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"im = ax.imshow(data, cmap='seismic')\n",
@@ -462,7 +494,7 @@
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"name":"python",
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"nbconvert_exporter":"python",
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"pygments_lexer":"ipython3",
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"version":"3.6.5"
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"version":"3.6.6"
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}
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},
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"nbformat":4,

‎assets/bivariate_normal.npy

1.84 KB
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