Tom Gilliss gilliss
gilliss
/ CustomColorList.py
Last active
August 22, 2018 01:11
A custom list of colors in matplotlib.pyplot
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| """ | |
| Create a custom list of colors for use in data visualization | |
| """ | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| # create n data points | |
| n = 20 | |
| xData = np.linspace(0,n,n) |
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| /* | |
| Code to change the strings used for TAxis bin labels in ROOT. | |
| Ref: | |
| https://root.cern.ch/doc/master/classTAxis.html | |
| */ | |
| #include <map> | |
| #include <string> | |
| #include <iostream> |
gilliss
/ barh_left_right.py
Last active
May 22, 2018 16:37
Plotting a vertical orientation histogram, from the right or left side of an axes object, using matplotlib.pyplot.barh
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| """ | |
| Plotting a matplotlib.pyplot.barh from the left or right of axes | |
| Ref: | |
| https://matplotlib.org/api/_as_gen/matplotlib.pyplot.barh.html | |
| https://matplotlib.org/examples/lines_bars_and_markers/barh_demo.html | |
| """ | |
| import numpy as np | |
| import matplotlib.pyplot as plt |
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| """ | |
| A chi-square test for the difference between two data sets. | |
| _count() method is from SciPy's https://github.com/scipy/scipy/blob/v0.14.0/scipy/stats/stats.py#L3467 | |
| A version of this function is in NRC, and related functions are in SciPy: | |
| NRC: chstwo(bins1, bins2, nbins, knstrn, df, chsq, prob) | |
| SciPy: power_divergence(f_obs, f_exp=None, ddof=0, axis=0, lambda_=None) | |
| """ | |
| import numpy as np |
gilliss
/ MarginalizeMesh.py
Last active
May 4, 2018 14:51
Marginalize a 2D distribution calculated over a np.meshgrid
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| """ | |
| Marginalize a 2-dimensional distribution evaluated over a numpy meshgrid. | |
| -The Distribution class holds the distribution, the marginalization method, | |
| and the grid parameters to be used for the integration. | |
| -The Marginalize() method allows specification of the axis you would like to marginalize. | |
| The marginalization is done via simple grid integration, using rectangular Riemann | |
| sum approximation of integral. | |
| There is similar code in scipy's scipy/stats/tests/test_multivariate.py::test_marginalization() |
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