#!/usr/bin/env python

# -*- coding: utf-8 -*-

"""

Plotting terminal based scatterplots

"""

from __future__ import print_function

import csv

import sys

import optparse

from .utils.helpers import *

from .utils.commandhelp import scatter

def get_scale(series, is_y=False, steps=20):

min_val = min(series)

max_val = max(series)

scaled_series = []

for x in drange(min_val, max_val, (max_val - min_val) / steps,

include_stop=True):

if x > 0 and scaled_series and max(scaled_series) < 0:

scaled_series.append(0.0)

scaled_series.append(x)

if is_y:

scaled_series.reverse()

return scaled_series

def _plot_scatter(xs, ys, size, pch, colour, title, cs):

plotted = set()

if title:

print(box_text(title, 2 * len(get_scale(xs, False, size)) + 1))

print("-" * (2 * len(get_scale(xs, False, size)) + 2))

for y in get_scale(ys, True, size):

print("|", end=' ')

for x in get_scale(xs, False, size):

point = " "

for (i, (xp, yp)) in enumerate(zip(xs, ys)):

if xp <= x and yp >= y and (xp, yp) not in plotted:

point = pch

plotted.add((xp, yp))

if cs:

colour = cs[i]

printcolour(point, True, colour)

print(" |")

print("-" * (2 * len(get_scale(xs, False, size)) + 2))

def plot_scatter(f, xs, ys, size, pch, colour, title):

"""

Form a complex number.

Arguments:

f -- comma delimited file w/ x,y coordinates

xs -- if f not specified this is a file w/ x coordinates

ys -- if f not specified this is a filew / y coordinates

size -- size of the plot

pch -- shape of the points (any character)

colour -- colour of the points

title -- title of the plot

"""

cs = None

if f:

if isinstance(f, str):

with open(f) as fh:

data = [tuple(line.strip().split(',')) for line in fh]

else:

data = [tuple(line.strip().split(',')) for line in f]

xs = [float(i[0]) for i in data]

ys = [float(i[1]) for i in data]

if len(data[0]) > 2:

cs = [i[2].strip() for i in data]

# try to convert any iterable data to list, so we can use any iterable object like pandas dataframe or numpy array

elif isiterable(xs) and isiterable(ys):

xs = [i for i in xs]

ys = [i for i in ys]

else:

with open(xs) as fh:

xs = [float(str(row).strip()) for row in fh]

with open(ys) as fh:

ys = [float(str(row).strip()) for row in fh]

_plot_scatter(xs, ys, size, pch, colour, title, cs)

def main():

parser = optparse.OptionParser(usage=scatter['usage'])

parser.add_option('-f', '--file', help='a csv w/ x and y coordinates', default=None, dest='f')

parser.add_option('-t', '--title', help='title for the chart', default="", dest='t')

parser.add_option('-x', help='x coordinates', default=None, dest='x')

parser.add_option('-y', help='y coordinates', default=None, dest='y')

parser.add_option('-s', '--size', help='y coordinates', default=20, dest='size', type='int')

parser.add_option('-p', '--pch', help='shape of point', default="x", dest='pch')

parser.add_option('-c', '--colour', help='colour of the plot (%s)' %

colour_help, default='default', dest='colour')

opts, args = parser.parse_args()

if opts.f is None and (opts.x is None or opts.y is None):

opts.f = sys.stdin.readlines()

if opts.f or (opts.x and opts.y):

plot_scatter(opts.f, opts.x, opts.y, opts.size, opts.pch, opts.colour, opts.t)

else:

print("nothing to plot!")

if __name__ == "__main__":

main()