plot-on-the-go

Update a graph while you plot!

Installation

From PIP:

$ pip install plot-on-the-go

Scatter

Example output

example.output.mov

Code (sorting functions not shown):

from plot_on_the_go.plot import Scatter
from random_typing import List, Int
import timeit

grapher = Scatter(1000)

grapher.legend(red='bubble', blue='merge')
grapher.title('Bubble sort vs Merge sort')

for length in range(1001):
    l = List(Int(1, 100), length)

    b = timeit.timeit('bubble_sort(lst)',
                      globals={'lst': next(l), 'bubble_sort': bubble_sort},
                      number=1) * 1000
    m = timeit.timeit('merge_sort(lst)',
                      globals={'lst': next(l), 'merge_sort': merge_sort},
                      number=1) * 1000

    grapher.plot_point(length, b, 'red')
    grapher.plot_point(length, m, 'blue')

grapher.show()

Note: this program uses random-typing to generate random lists of integers

Import the module:

from plot_on_the_go.plot import Scatter

Initialise a grapher

grapher = Scatter(1000)

The parameter is the maximum x-value

Plot a point

grapher.plot_point(0, 1, 'red')

The parameters are:

• x: int or float
• y: int or float
• colour: see section on accepted colours.

Add a legend

grapher.legend(red='v1', blue='v2')

Colours must be from the table linked in the accepted colours section.

Add a title

grapher.title('My graph')

Show the graph

grapher.show()

Stop the graph being shown

grapher.stop()

Bar

Example output

example.output.2.mov

Code (sorting functions not shown):

from plot_on_the_go.plot import Bar
from random_typing import List, Int
import timeit

grapher = Bar()

grapher.title('Bubble sort vs Merge sort - runs/sec')

for length in range(1001):
    l = List(Int(1, 100), length)

    b = 1 / timeit.timeit('bubble_sort(lst)',
                          globals={'lst': next(l), 'bubble_sort': bubble_sort},
                          number=1)
    m = 1 / timeit.timeit('merge_sort(lst)',
                          globals={'lst': next(l), 'merge_sort': merge_sort},
                          number=1)

    grapher.add_num('bubble', b)
    grapher.add_num('merge', m)

grapher.show()

Import the module:

from plot_on_the_go.plot import Scatter

Initialise a grapher

grapher = Bar()

The parameter (optional) is the function to apply to a list of numbers, which should return a number. It defaults to sum

Add a number

grapher.plot_point('a', 1)

The parameters are:

• label - the label to add the point to
• y - the number to add

Add a title

grapher.title('My graph')

Show the graph

grapher.show()

Stop the graph being shown

grapher.stop()

Accepted colours

Colours can be given in two formats

1. A tuple, (r, g, b), of three int or floats. E.g. (100, 123.4, 255)

2. An acceptable string - any colour in this table