import matplotlib.pyplot as plt 
 
figure, axes = plt.subplots() 
cc = plt.Circle(( 0.5 , 0.5 ), 0.4 ) 
 
axes.set_aspect( 1 ) 
axes.add_artist( cc ) 
plt.title( 'Colored Circle' )

# plt.axis('off')

plt.show()

from bqplot import *
from IPython.display import display

x_data = range(10)
y_data = [i ** 2 for i in x_data]

x_sc = LinearScale()
y_sc = LinearScale()

ax_x = Axis(label='Test X', scale=x_sc, tick_format='0.0f')
ax_y = Axis(label='Test Y', scale=y_sc,
            orientation='vertical', tick_format='0.2f')

line = Lines(x=x_data,
             y=y_data,
             scales={'x': x_sc, 'y': y_sc},
             colors=['red', 'yellow'])

fig = Figure(axes=[ax_x, ax_y], marks=[line])

display(fig)

import numpy as np
import ipywidgets as widgets
from ipywidgets import interact, Layout, IntSlider, FloatSlider

# Jupyter Specifics
#
from IPython.display import HTML
from ipywidgets.widgets import interact, IntSlider, FloatSlider, Dropdown, Layout

import bqplot.pyplot as plt

x = np.linspace(-10, 10, 100)
y = np.sin(x)

fig = plt.figure()
line = plt.plot(x=x, y=y)

fig

def points_arround_circle(number=100, center=(0,0), radius=1):
    theta = np.linspace(0, 2 * np.pi - (2 * np.pi / number), number)
    x = radius * np.cos(theta)
    y = radius * np.sin(theta)

    return (x, y)

def get_lines_from_points(x, y, factor, animated=None):
    limit = len(x)
    if animated is not None:
        for i in range(limit):
            x_range = (x[i], x[int(i * factor) % limit])
            y_range = (y[i], y[int(i * factor) % limit])
            yield mlines.Line2D(x_range, y_range)
    else:
        for i in range(limit):
            start = (x[i], y[i])
            index = int((i * factor) % limit)
            end = (x[index], y[index])          
            yield end, start

def plot_circle_points(x, y, ax, labels=None):
    # ax.annotate("Points: {}".format(len(x)), (0.8, 0.9))
    ax.plot(x, y, "-ko", markevery=1)
    if not labels is None:
        for i, (x, y) in enumerate(zip(x, y)):
            ax.annotate(i, (x, y))

def plot_lines(x, y, factor, ax, color=None):
    # ax.annotate("Factor: {}".format(factor), (0.8, 1))
    lines = list(get_lines_from_points(x, y, factor))
    if color is None:
        line_segments = LineCollection(lines)
    else:
        line_segments = LineCollection(lines, colors=colorsys.hsv_to_rgb(color, 1.0, 0.8))
            
    ax.add_collection(line_segments)

import numpy as np

from IPython.display import HTML
from ipywidgets.widgets import interact, IntSlider, FloatSlider, Dropdown, Layout

from bqplot import *
from IPython.display import display

Factor = 10
Points = 10

x_sc = LinearScale()
y_sc = LinearScale()

ax_x = Axis(label='Test X', scale=x_sc, tick_format='0.0f')
ax_y = Axis(label='Test Y', scale=y_sc,
            orientation='vertical', tick_format='0.2f')

x_data, y_data = points_arround_circle(number=Points)
# plot_circle_points(x_data, y_data, ax_y)


# plot_lines(x_data, y_data, Factor, ax_x)

line = Lines(x=x_data,
             y=y_data,
             scales={'x': x_sc, 'y': y_sc},
             colors=['red', 'yellow'])

fig = Figure(axes=[ax_x, ax_y], marks=[line])

# figsize: width|height recalculated from inches to pixels
fig.layout.width = '500px'
fig.layout.height = '500px'

# Removing axes and background gridlines
ax_x.grid_lines = "none"
ax_y.grid_lines = "none"

ax_x.color = "white"
ax_y.color = "white"

ax_x.num_ticks = 0
ax_y.num_ticks = 0

display(fig)