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{ | |
"metadata": { | |
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"signature": "sha256:ae12cadbe088aa2df4c44761da5172223e468a824bc68e52b427b2314b428942" | |
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/* Change code font */ | |
.CodeMirror pre{ | |
font-family: 'Source Code Pro', Consolas, monocco, monospace; | |
} | |
/* Change input prompt size */ | |
div.input{ | |
/*width: 105ex;*/ | |
} |
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import matplotlib.image as mpimg | |
import matplotlib.pyplot as plt | |
def loadFigImage(path): | |
im = mpimg.imread(path) | |
h,w = im.shape[0], im.shape[1] | |
dpi = 80 | |
fig = plt.figure(figsize=(w/dpi, h/dpi), dpi=dpi) | |
ax = plt.Axes(fig, [0, 0, 1, 1]) | |
ax.set_xlim(0, w) |
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{ | |
"metadata": { | |
"celltoolbar": "Slideshow", | |
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""" | |
Given an arbitrarily nested dictionary, create a PyTables Table | |
Populate a table row given the contents of a dictionary | |
""" | |
import tables | |
import numpy as np | |
import sys |
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