import numpy as np
import scipy.stats as st
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from plotstyle import colors, cm_size, show_spines

if __name__ == "__main__":
    # wikipedia:
    # Generally, males vary in total length from 250 to 390 cm and
    # weigh between 90 and 306 kg
    n = 300
    mu = 220.0
    sigma = 40.0
    rng = np.random.RandomState(32281)
    indices = np.arange(n)
    data = sigma*rng.randn(len(indices))+mu

    fig = plt.figure(figsize=cm_size(16.0, 6.0))
    spec = gridspec.GridSpec(nrows=1, ncols=2, width_ratios=[3, 1],
                             left=0.12, bottom=0.23, right=0.97, top=0.96, wspace=0.08)
    ax1 = fig.add_subplot(spec[0, 0])
    show_spines(ax1, 'lb')
    ax1.scatter(indices, data, c=colors['blue'], edgecolor='white', s=50)
    ax1.set_xlabel('index')
    ax1.set_ylabel('Weight / kg')
    ax1.set_xlim(-10, 310)
    ax1.set_ylim(0, 370)
    ax1.set_yticks(np.arange(0, 351, 100))
    
    ax2 = fig.add_subplot(spec[0, 1])
    show_spines(ax2, 'lb')
    xx = np.arange(0.0, 350.0, 0.5)
    yy = st.norm.pdf(xx, mu, sigma)
    ax2.plot(yy, xx, color=colors['red'])
    bw = 20.0
    h, b = np.histogram(data, np.arange(0, 401, bw))
    ax2.barh(b[:-1], h/np.sum(h)/(b[1]-b[0]), fc=colors['yellow'], height=0.9*bw, align='edge')
    ax2.set_xlabel('pdf / 1/kg')
    ax2.set_xlim(0, 0.012)
    ax2.set_xticks([0, 0.005, 0.01])
    ax2.set_xticklabels(['0', '0.005', '0.01'])
    ax2.set_ylim(0, 370)
    ax2.set_yticks(np.arange(0, 351, 100))
    ax2.set_yticklabels([])

    fig.savefig("normaldata.pdf")
    plt.close()