new_features.md

Features

(new) record video

from hooman import Hooman

import pygame

hapi = Hooman(500, 500)

def handle_events(event):
    if event.type == pygame.QUIT:
        hapi.is_running = False


hapi.handle_events = handle_events

while hapi.is_running:
    hapi.background((255, 255, 255))

    hapi.stroke_size(5)
    hapi.stroke((0, 255, 0))

    for i in range(0, hapi.WIDTH, 20):
        hapi.line(i, 0, hapi.mouseX(), hapi.mouseY())


    hapi.record()
    hapi.flip_display()
    hapi.event_loop()
    

pygame.quit()
hapi.save_record('mov.mp4', framerate=25)

(new) screenshot

hapi.save(path)

(new) Integrate with other pygame codes

# from https://pythonguides.com/create-a-game-using-python-pygame/
# Hooman >= 0.8.2

import pygame


from hooman import Hooman # <-- this


black = (0, 0, 0)
white = (255, 255, 255)

red = (255, 0, 0)
WIDTH = 20
HEIGHT = 20
MARGIN = 5
grid = []
for row in range(10):
    grid.append([])
    for column in range(10):
        grid[row].append(0) 
grid[1][5] = 1
pygame.init()
window_size = [255, 255]
scr = pygame.display.set_mode(window_size)
hapi = Hooman(integrate=True, screen=scr) # <-- this
pygame.display.set_caption("Grid")
done = False
clock = pygame.time.Clock()
while not done:
    for event in pygame.event.get(): 
        if event.type == pygame.QUIT: 
            done = True 
        elif event.type == pygame.MOUSEBUTTONDOWN:
            pos = pygame.mouse.get_pos()
            column = pos[0] // (WIDTH + MARGIN)
            row = pos[1] // (HEIGHT + MARGIN)
            grid[row][column] = 1
            print("Click ", pos, "Grid coordinates: ", row, column)
    scr.fill(black)
    for row in range(10):
        for column in range(10):
            color = white
            if grid[row][column] == 1:
                color = red
            pygame.draw.rect(scr,
                             color,
                             [(MARGIN + WIDTH) * column + MARGIN,
                              (MARGIN + HEIGHT) * row + MARGIN,
                              WIDTH,
                              HEIGHT])
    clock.tick(50)
    pygame.display.flip()
    hapi.record() # <-- this
pygame.quit()
hapi.save_record('movie.mp4') # <-- this

(new) save to svg

# https://github.com/mwaskom/seaborn-data/blob/master/penguins.csv

from hooman import Hooman
import pandas as pd
import os

window_width, window_height = 650, 600
hapi = Hooman(window_width, window_height, svg=True)


base_path = os.path.dirname(os.path.abspath(__file__))
df = pd.read_csv(os.path.join(base_path, "data", "penguins.csv"))
df = df.fillna(0)

data = {k:list(df[k]) for k in df.columns.values.tolist()}

hapi.background(255)

colx = "bill_length_mm"
coly = "bill_depth_mm"

hapi.scatterchart(
        40,
        30,
        500,
        500,
        {
        "data": data,
            "ticks_y": 12,
            "ticks_x": 12,
            "range_y": [min(data[coly]), max(data[coly])],
            "range_x": [min(data[colx]), max(data[colx])],
            "show_axes": True,
            "tick_size": 10,
            "show_ticks_x": True,
            "show_ticks_y": True,
            "x": colx,
            "y": coly,
            "plot_background": False,
            "plot_grid": False,
            "line_color": 200,
            "type": "hist",
            "hist_color": "g"
        },
    )

hapi.save_svg(os.path.join(base_path, 'file.svg'))

(new) keyword argument same as dictionary

hapi.scatterchart(
        40,
        30,
        500,
        500,
        {
        "data": data,
            "ticks_x": 5,
            "mouse_line": False,
            "range_y": [min(data[coly]), max(data[coly])],
            "range_x": [min(data[colx]), max(data[colx])],
            "tick_size": 10,
            "show_ticks_x": True,
            "show_ticks_y": True,
            "x": colx,
            "y": coly,
            "hue": "clarity",
            "hue_order": clarity_ranking,
            "size": "depth",
            "plot_background": False,
            "plot_background_grid": True,
            "plot_background_color": (234,234,242),
            "plot_background_grid_color": 200,
            "line_color": 200
        }
    )

# same as

hapi.scatterchart(
        40,
        30,
        500,
        500,
        {
        "data": data,
            "ticks_x": 5,
            "mouse_line": False,
            "range_y": [min(data[coly]), max(data[coly])],
            "range_x": [min(data[colx]), max(data[colx])],
            "tick_size": 10,
            "show_ticks_x": True,
            "show_ticks_y": True,
            "hue": "clarity",
            "hue_order": clarity_ranking,
            "size": "depth",
            "plot_background": False,
            "plot_background_grid": True,
            "plot_background_color": (234,234,242),
            "plot_background_grid_color": 200,
            "line_color": 200
        },
        x=colx,
        y=coly
    )

# i.e you can mix both or use one option over the other