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object --+ | LogoOptions
A container for all logo formatting options. Not all of these are directly accessible through the CLI or web interfaces. To display LogoOption defaults: >>> from weblogolib import * >>> LogoOptions() All physical lengths are measured in points. (72 points per inch, 28.3 points per cm) String attributes: o creator_text -- Embedded as comment in figures. o logo_title o logo_label o unit_name -- See std_units for options. (Default 'bits') o yaxis_label -- Defaults to unit_name o xaxis_label o fineprint -- Defaults to WebLogo name and version Boolean attributes: o show_yaxis o show_xaxis o show_ends o show_fineprint o show_errorbars -- Draw errorbars (default: False) o show_boxes -- Draw boxes around stack characters (default: True) o debug -- Draw extra graphics debugging information. o rotate_numbers -- Draw xaxis numbers with vertical orientation? o scale_width -- boolean, scale width of characters proportional to ungaps o pad_right -- Make a single line logo the same width as multiline logos (default: False) Other attributes: o stacks_per_line o yaxis_tic_interval o yaxis_minor_tic_ratio o yaxis_scale o xaxis_tic_interval o number_interval o shrink_fraction -- Proportional shrinkage of characters if show_boxes is true. o errorbar_fraction o errorbar_width_fraction o errorbar_gray o resolution -- Dots per inch (default: 96). Used for bitmapped output formats o default_color o color_scheme o stack_width -- o stack_aspect_ratio -- Ratio of stack height to width (default: 5) o logo_margin -- Default: 2 pts o stroke_width -- Default: 0.5 pts o tic_length -- Default: 5 pts o stack_margin -- Default: 0.5 pts o small_fontsize -- Small text font size in points o fontsize -- Regular text font size in points o title_fontsize -- Title text font size in points o number_fontsize -- Font size for axis-numbers, in points. o text_font o logo_font o title_font o first_index o logo_start o logo_end
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Create a new LogoOptions instance. >>> L = LogoOptions(logo_title = "Some Title String") >>> L.show_yaxis = False >>> repr(L)
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repr(x)
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