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%matplotlib inline

from matplotlib.collections import LineCollection
import matplotlib.pyplot as plt
from scipy import interpolate
import numpy as np
from numpy.random import rand

from ipywidgets import FloatSlider, interactive, IntSlider
import seaborn as sns
sns.set_context('poster')
sns.set_style('whitegrid') 
# sns.set_style('darkgrid') 
plt.rcParams['figure.figsize'] = 12, 8  # plotsize


    

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def simple_example(amplitude=2.0, phase=0.0):
    plt.rcParams['figure.figsize'] = 8,6
    plt.figure()
    x = np.linspace(-2*np.pi, 2*np.pi, 1000)
    y = amplitude * np.sin(x + phase)
    plt.plot(x, y)
    plt.xlim(-3, 3)
    plt.ylim(-2*np.pi, 2*np.pi)
    plt.show()
    return


    

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amplitude_slider = FloatSlider(value=2.0, min=0, max=6.0, step=.1)
phase_slider = FloatSlider(value=0.0, min=-np.pi, max=np.pi, step=.10)

interactive(simple_example,
            amplitude=amplitude_slider,
            phase=phase_slider
           )


    

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def spline_demo(num=14, smooth=0, seed=10, brush_strokes=30, alpha=0.5):
    a = np.random.RandomState(seed=seed)
    x = a.rand(num)
    y = a.rand(num)
    t = np.arange(0, 1.1, .1)
    plt.rcParams['figure.figsize'] = 8, 8
    plt.figure()
    for brush_stroke in range(brush_strokes):
        tck, u = interpolate.splprep(
            [x + a.rand(num) / 10.0, y + a.rand(num) / 10.0], s=smooth)
        unew = np.arange(0, 1.01, 0.001)
        out = interpolate.splev(unew, tck)
        plt.plot(out[0], out[1], alpha=alpha, c='black', linewidth=3.0)
    plt.xlim(-1.5, 2.)
    plt.ylim(-1.5, 2.)
    plt.axis('off')
    plt.show()


smooth_slider = FloatSlider(value=0, min=0, max=20.0, step=.1)
num_points_slider = IntSlider(value=8, min=4, max=20)
seed_slider = IntSlider(value=4, min=4, max=20)
brush_slider = IntSlider(value=1, min=1, max=20)
alpha_slider = FloatSlider(value=.5, min=0, max=1.0, step=.05)

w = interactive(
    spline_demo,
    smooth=smooth_slider,
    num=num_points_slider,
    seed=seed_slider,
    brush_strokes=brush_slider,
    alpha=alpha_slider)
w


    

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