Option to have stats on graph or not
This commit is contained in:
26
infocalc.py
26
infocalc.py
@@ -44,7 +44,7 @@ parser.add_argument('--normalizey', action="store_true",
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help='Set y-axis to normalized probability density')
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parser.add_argument('--log', default="INFO",
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help='Console log level: Number or DEBUG, INFO, WARNING, ERROR')
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parser.add_argument('--graphinfo',
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parser.add_argument('--graphinfo', action="store_true",
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help='Put information on the PDF graph')
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args = parser.parse_args()
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@@ -103,18 +103,20 @@ info = -np.emath.log2(prob)
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#print("information content: %f bits", info)
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## place text on plot: https://matplotlib.org/3.3.4/gallery/recipes/placing_text_boxes.html
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fig, ax = plt.subplots()
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textstr = '\n'.join((
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r'$n=%d$' % (samplesize),
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r'$\mu=%.2f$' % (mean, ),
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r'$\sigma=%.2f$' % (stddev, ),
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r'$P=%.2f$' % (prob, ),
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r'$I=%.2f$ bits' % (info, )))
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# these are matplotlib.patch.Patch properties
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props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
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# place a text box in upper left in axes coords
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ax.text(0.05, 0.95, textstr, transform=ax.transAxes, fontsize=14,
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verticalalignment='top', bbox=props)
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if args.graphinfo:#put info on corner of graph
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textstr = '\n'.join((
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r'$n=%d$' % (samplesize),
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r'$\mu=%.2f$' % (mean, ),
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r'$\sigma=%.2f$' % (stddev, ),
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r'$P=%.2f$' % (prob, ),
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r'$I=%.2f$ bits' % (info, )))
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# these are matplotlib.patch.Patch properties
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props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
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# place a text box in upper left in axes coords
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ax.text(0.05, 0.95, textstr, transform=ax.transAxes, fontsize=14,
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verticalalignment='top', bbox=props)
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x = np.linspace(mean-3*stddev, mean+3*stddev, 500)
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y = norm.pdf(x, loc=mean, scale=stddev)
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