Python matplotlib.mlab() Examples
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Example #1
Source File: histogramplot.py From incubator-sdap-nexus with Apache License 2.0 | 5 votes |
def render(d, x, primary, secondary, parameter, norm_and_curve=False): fig, ax = plt.subplots() fig.suptitle(string.upper("%s vs. %s" % (primary, secondary)), fontsize=14, fontweight='bold') n, bins, patches = plt.hist(x, 50, normed=norm_and_curve, facecolor='green', alpha=0.75) if norm_and_curve: mean = np.mean(x) variance = np.var(x) sigma = np.sqrt(variance) y = mlab.normpdf(bins, mean, sigma) l = plt.plot(bins, y, 'r--', linewidth=1) ax.set_title('n = %d' % len(x)) units = PARAMETER_TO_UNITS[parameter] if parameter in PARAMETER_TO_UNITS else PARAMETER_TO_UNITS["sst"] ax.set_xlabel("%s - %s %s" % (primary, secondary, units)) if norm_and_curve: ax.set_ylabel("Probability per unit difference") else: ax.set_ylabel("Frequency") plt.grid(True) sio = StringIO() plt.savefig(sio, format='png') d['plot'] = sio.getvalue()