Wordcloud example v0.2

wordcloud.py

import random

terms_sizes = []
terms_labels = []
terms_colors = []

random.seed(0)
for i in range(200):
    terms_sizes.append(random.random())
    # terms_labels.append(''.join(random.choices(['abcdefgh ', 'cdefg ', 'gh '], k=random.randint(1, 2))).strip())
    terms_labels.append(demo_data['label'][i])
    terms_colors.append(random.random())

spec = {
    "layers": [{
        "type": "bg",
        "fill": "white"
    }, {
        "enabled": True,
        "name": "central_term",
        "type": "text",
        "text": 'DATA\nVISUALIZATION',
        "size": 50,
        "fill": 'black',
        'font': 'Calibri[bold]',
        "x": 0,
        "y": 0
    }, {
        'name': 'term',
        'type': 'text',
        'fill': terms_colors,
        'size': terms_sizes,
        'text': terms_labels,
        'x': 0,
        'y': 0,
    }, {
        "name": "vis_copyright",
        "type": "text",
        "text": 'Источник: система интеллектуального анализа больших данных iFORA',
        "text_fill_gradient_darker_coeff": 1.2,
        "text_fill": "black",
        "font": f"Calibri[italic]",
        "font_size": 22,
        "align": "right",
        "valign": "baseline",
        "x": 0,
        "y": 0,
    }, {
        "name": "vis_title",
        "text": 'Облако слов направлений визуализаций',
        "type": "text",
        "text_fill_gradient_darker_coeff": 1.2,
        "text_fill": "black",
        "font": "Calibri",
        "font_size": 50,
        "align": "center",
        "valign": "baseline",
        "x": 0,
        "y": 0,
    }],
    "operations": [{
        "enabled": True,
        "type": "color_scale",
        "cmap": "ifora_rainbow",
        "null_color": "gray",
        "value_field": 'term/fill',
        "color_field": 'term/fill',
        "mode": "rank",
        "stop0": 0.4,
        "stop1": 1.0,
        "min_lightness": 50,
        "max_lightness": 50,
    }, {
        'enabled': 1,
        'type': 'transform_text',
        'add_spaces': True,
        'newlines': None,
    }, {
        "enabled": 1,
        "name": "set_viewbox",
        "type": "set_viewbox",
        "cx": 0,
        "cy": 0,
        "size": 1000,
        "ratio": 1,
    }, {
        'type': 'normalize',
        'field': 'term/size',
        'mode': 'rank',
        'out_min': 10,
        'out_max': 30,
        'gamma': 3,
    }, {
        "enabled": True,
        "type": "area_correction",
        "name": "area_correction",
        "shape_field": ["term/shape", "central_term/shape"],
        "size_field": ["term/size", "central_term/size"],
        "density": 2,
    }, {
        'type': 'transform_shape',
        'shape_field': 'term/shape',
        'rpad': [3, 0],
    }, {
        'type': 'collide',
        'max_shift': 1000,
        'trials': 300,
        'layers': ['central_term', 'term'],
        'order': 'size[layer]',
        'shift_shape': 'circ[smooth]',
    }, {
        'enabled': True,
        'type': 'fit_viewbox',
    }, {
        "name": "standard_template",
        "type": "standard_template",
        "title_enabled": 1,
        "copyright_enabled": 1,
        "logo_enabled": 1,
        "logo_image": 'ifora_logo',
        "logo_height": "5%",
        "title_font_size": "4%",
        "title_margin": "3%",
        "copyright_font_size": "2%",
        "copyright_margin": "3%",
    }]
}

save_dir = './200424_grid'
theme = 'light'
render_fname, save_as = [
    ('500px.high.png', f'{save_dir}/render.{theme}.png'),
    ('high.svg', f'{save_dir}/render.{theme}.svg'),
    ('debug.svg', f'{save_dir}/debug.svg'),
    ('preset.json', f'{save_dir}/preset.json'),
    ('spec.json', f'{save_dir}/spec.json'),
    ('render.json', f'{save_dir}/render.json'),
][0]
run_semantic_map_spec('/run', spec, render_fname, save_as, overwrite=0)