fasterrisk.score_visual

Attributes

`current_dir`
`font_map`

Classes

`ScoreCardVisualizer`
`TableVisualizer`

Functions

`save_img_to_pdf`(img, path)
`find_crop_x_boundaries`(img)
`combine_images`(→ PIL.Image)
`output_to_score_risk_df`(→ pandas.DataFrame)
`scrape_to_df`(→ pandas.DataFrame)
`compute_cumulative`(→ pandas.DataFrame)
`compute_offset`(→ Tuple[pandas.DataFrame, pandas.DataFrame])
`output_to_score_intervals`(→ Tuple[pandas.DataFrame, ...)

Module Contents

fasterrisk.score_visual.current_dir

fasterrisk.score_visual.font_map

fasterrisk.score_visual.save_img_to_pdf(img, path: str)

fasterrisk.score_visual.find_crop_x_boundaries(img)

fasterrisk.score_visual.combine_images(bottom_image, top_image, top_image_y_offset=0, bottom_image_y_offset=-90, crop_margin=40) → PIL.Image

fasterrisk.score_visual.output_to_score_risk_df(input_text: str) → pandas.DataFrame

fasterrisk.score_visual.scrape_to_df(input_text: str) → pandas.DataFrame

fasterrisk.score_visual.compute_cumulative(df: pandas.DataFrame, feature_max_dict: Dict[str, float]) → pandas.DataFrame

fasterrisk.score_visual.compute_offset(df_interval: pandas.DataFrame) → Tuple[pandas.DataFrame, pandas.DataFrame]

fasterrisk.score_visual.output_to_score_intervals(input_text: str, feature_max_dict: Dict[str, float]) → Tuple[pandas.DataFrame, pandas.DataFrame]

class fasterrisk.score_visual.ScoreCardVisualizer(df: pandas.DataFrame)

df

compute_priority()

get_dynamic_height()

get_dynamic_width()

set_visual_sizes(vertical_padding: int = 140, horizontal_padding: int = 20, box_height: int = 90, box_width: int = 300, center_box_width: int = 600, border_width: int = 1, **kwargs)

set_fonts(font_dir: str = font_map['Noto'], title_font_dir: str = font_map['Roboto'], bold_font_dir: str = font_map['Oswald'], title_font_size: int = 40, bigger_font_size: int = 40, smaller_font_size: int = 32, **kwargs)

generate_visual_card(custom_row_order: list[str] = None, smart_detect_binary: bool = True, title_y_offset: int = -20, **kwargs)

make_frame()

draw_rows()

draw_row(feature_df, row_num)

get_upper_left(row_num: int, column_offset: int)

get_lower_right(row_num: int, column_offset: int)

draw_box_with_text(upper_left, lower_right, text: str, box_shade)

draw_box(upper_left, lower_right, box_shade)

calc_text_height(text)

draw_centered_text(upper_left, lower_right, text: str)

interval_to_string(df_row, include_feature)

class fasterrisk.score_visual.TableVisualizer(df_table)

df_table

setup(**kwargs)

set_visual_sizes(vertical_padding: int = 250, horizontal_padding: int = 42, box_height: int = 50, box_width: int = 100, border_width: int = 1, **kwargs)

set_fonts(font_dir: str = font_map['Noto'], title_font_dir: str = font_map['Roboto'], bold_font_dir: str = font_map['Oswald'], title_font_size: int = 60, bigger_font_size: int = 28, smaller_font_size: int = 20, **kwargs)

make_frame()

generate_table(title, **kwargs)

draw_table_header()

get_dynamic_width()

get_dynamic_height()

draw_row(row, df_row)

draw_centered_text(upper_left, lower_right, text, bolding=False, header=False)

draw_box(upper_left, lower_right, background)

get_upper_left(row, col)

get_lower_right(row, col)

draw_box_with_text(upper_left, lower_right, background, text, bolding=False, header=False)

draw_title(title)

generate_plot(title)