import random

import datetime as dt

import plot_data

from plot_data.colors import BLUE, GREEN, ORANGE, RED, VIOLET, YELLOW

random.seed(4)

elements = []

SHAPES = ['round', 'square', 'triangle', 'ellipse']

COLORS = [RED, BLUE, GREEN, YELLOW, ORANGE, VIOLET]

for i in range(50):

random_shape = SHAPES[random.randint(0, len(SHAPES) - 1)]

random_color = COLORS[random.randint(0, len(COLORS) - 1)]

date = dt.datetime(year=2000 + i, month=random.randint(1, 12), day=random.randint(1, 27),

hour=random.randint(0, 23), minute=random.randint(0, 59), second=random.randint(0, 59))

elements.append({'long middle_attribute name ' * 15: random.uniform(0, 20),

'mass'*30: random.uniform(0, 0.05),

'length': random.randint(0, 100),

'shape': random_shape,

'color': random_color,

'long middle_attribute name ' * 10: random.uniform(-1000, -20),

'long right attribute name ' * 7: random.uniform(0, 35),

"date": date

})

if i==3:

elements[-1]['length'] = None

plot_data_object = plot_data.ParallelPlot(elements=elements,

axes=['long middle_attribute name ' * 15, 'mass' * 30, 'color', 'length',

'shape', 'long middle_attribute name ' * 10, 'long right attribute name ' * 7,

"date"])

# The line above shows the minimum requirements for creating a

# parallel plot. However, many options are available for further customization.

# 'edge_style' option allows customization of the lines

edge_style = plot_data.EdgeStyle(line_width=1, color_stroke=VIOLET, dashline=[])

# 'disposition' = 'vertical' or 'horizontal' whether you want the axis to be

# vertical of hozizontal. This can be changed by pressing the 'disp' button on

# canvas as well.

disposition = 'horizontal'

# Next, ParallelPlots "sort" an axis when clicking on it by displaying a color

# interpolation on the lines. When the attribute 'rgbs' is not given to the ParallePlot

# it is set to [red, blue, green]. However, users are free to set as many

# colors as they want, as long as they are in rgb. A wide panel of rgb colors

# are available in plot_data/colors.py

rgbs = [BLUE, YELLOW, ORANGE]

customized_parallelplot = plot_data.ParallelPlot(elements=elements,

axes=['mass', 'length', 'shape', 'color'],

edge_style=edge_style,

disposition=disposition,

rgbs=rgbs)

# if local == True, set it to False

plot_data.plot_canvas(plot_data_object=plot_data_object, local=True)