baikit.PlotData

class baikit.PlotData(plot_title, manifest_dir='input/manifest/')

Bases: Data

Plot figure

Plots figure of 2-D data.

plot_figsize

Default: (6.4, 4.8)

Type:: tuple

plot_title_flag

Default: False

Type:: bool

plot_title

Type:: str

plot_title_fontsize

Default: 14

Type:: float

plot_xlabel

Default: “”

Type:: str

plot_ylabel

Default: “”

Type:: str

plot_label_fontsize

Default: 18

Type:: float

subplots_layout

Default: numpy.array([[2 * x - 1, 2 * x] for x in range(4, 0, -1)]).reshape(4, 1, 2)

Type:: numpy.ndarray

subplots_tag

Default: numpy.array([f”example_{x}” for x in range(4, 0, -1)]).reshape(4, 1)

Type:: numpy.ndarray

subplots_annotate_xyoffset

Default: numpy.tile([0, -12], (4, 1, 2, 1))

Type:: numpy.ndarray

subplots_wspace

Default: 0

Type:: float

subplots_hspace

Default: 0

Type:: float

subplot_xlim

Default: []

Type:: list

subplot_ylim

Default: []

Type:: list

subplot_ylim_offset

Default: 0

Type:: float

subplot_xlabel

Default: “”

Type:: list

subplot_ylabel_flag

Default: True

Type:: bool

subplot_xscale

Default: “linear”

Type:: list

subplot_yscale

Default: “linear”

Type:: list

subplot_linewidth

Default: 1.5

Type:: float

subplot_legend_flag

Default: False

Type:: bool

subplot_legend_loc

Default: “best”

Type:: str

subplot_legend_fontsize

Default: 10

Type:: float

line_ystep

Default: 0

Type:: float

line_annotate_flag

Default: False

Type:: bool

line_annotate_x

The x position of the annotation. Default: 1200

Type:: float

line_annotate_interval

The x interval of the data. Default: 2

Type:: float

line_annotate_kwargs

Default: {“textcoords”: “offset points”, “horizontalalignment”: “center”, “fontsize”: 12, “bbox”: dict(boxstyle=”square”, alpha=0.8, ec=”w”, fc=”w”)}

Type:: dict

line_print_flag

Default: True

Type:: bool

persistent_styles_flag

Default: False

Type:: bool

persistent_styles

Default: defaultdict(lambda: next(loop_cy_iter))

Type:: dict

__init__(plot_title, manifest_dir='input/manifest/')

Parameters:

plot_title (str) – Plot title which is also manifest filename.
manifest_dir (str, optional) – Manifest directory. Default: “input/manifest/”

Methods

`__init__`(plot_title[, manifest_dir])	param plot_title: Plot title which is also manifest filename.
`init_figure`()	Initialise figure
`line`(manifest_line_index, i, j, its)	Plot line
`load_manifest`()	Load manifest
`plot_subplots`()	Wrapper of subplot_lines()
`save_figure`()	Save figure
`subplot_lines`(i, j, its)	Wrapper of line()

init_figure()

Initialise figure

Creates subplots with axes.

subplots_shape

Type:: numpy.ndarray

manifest_lines_fields

Type:: numpy.ndarray

subplot_x_tick_params

Default: {“which”: “both”, “direction”: “in”, “width”: self.subplot_linewidth, “labelsize”: 15, “bottom”: True, “top”: False, “labelbottom”: True}

Type:: dict

subplot_y_tick_params

Default: {“which”: “both”, “direction”: “in”, “width”: self.subplot_linewidth, “labelsize”: 15, “left”: False, “right”: False, “labelleft”: False}

Type:: dict

fig

Type:: Figure

gs

Type:: GridSpec

axs

List of Axes.

Type:: list

subplot_cycler

Default: (cycler(color=palettable.tableau.Tableau_10.mpl_colors) * cycler(linewidth=[1.5]) * cycler(markersize=[5]))

Type:: Cycler

save_figure()

Save figure

Saves current figure to output folder, with some settings.

plot_subplots()

Wrapper of subplot_lines()

Plots subplots.

subplot_lines(i, j, its)

Wrapper of line()

Wraps lines into a subplot.

Parameters:

i (int) – Row number of subplot grid.
j (int) – Column number of subplot grid.
its (numpy.ndarray) – Iteration numbers.

line(manifest_line_index, i, j, its) → ndarray

Plot line

Plots an ndarray of 2-D data.

Parameters:

manifest_line_index (int) – Row number of manifest line.
i (int) – Row number of subplot grid.
j (int) – Column number of subplot grid.
its (numpy.ndarray) – Iteration numbers.

Returns:

Iteration numbers.

Return type:

numpy.ndarray