lines

Shapes that are lines of lines.

Classes

HighLines(dataset)	Class for the high lines shape.
HorizontalLines(dataset)	Class for the horizontal lines shape.
SlantDownLines(dataset)	Class for the slant down lines shape.
SlantUpLines(dataset)	Class for the slant up lines shape.
VerticalLines(dataset)	Class for the vertical lines shape.
WideLines(dataset)	Class for the wide lines shape.
XLines(dataset)	Class for the X shape consisting of two crossing, perpendicular lines.

class data_morph.shapes.lines.HighLines(dataset: Dataset)

Bases: LineCollection

Class for the high lines shape.

This shape is generated using the panda dataset.

Parameters:

dataset (Dataset) – The starting dataset to morph into other shapes.

distance(x: Number, y: Number) → float

Calculate the minimum distance from the lines of this shape to a point (x, y).

Parameters:

• x (numbers.Number) – Coordinates of a point in 2D space.

• y (numbers.Number) – Coordinates of a point in 2D space.

Returns:

The minimum distance from the lines of this shape to the point (x, y).

Return type:

float

lines

An iterable of two (x, y) pairs representing the endpoints of a line.

Type:

Iterable[Iterable[numbers.Number]]

plot(ax: Axes = None) → Axes

Plot the shape.

Parameters:

ax (matplotlib.axes.Axes, optional) – An optional Axes object to plot on.

Returns:

The Axes object containing the plot.

Return type:

matplotlib.axes.Axes

class data_morph.shapes.lines.HorizontalLines(dataset: Dataset)

Bases: LineCollection

Class for the horizontal lines shape.

This shape is generated using the panda dataset.

Parameters:

dataset (Dataset) – The starting dataset to morph into other shapes.

distance(x: Number, y: Number) → float

Calculate the minimum distance from the lines of this shape to a point (x, y).

Parameters:

• x (numbers.Number) – Coordinates of a point in 2D space.

• y (numbers.Number) – Coordinates of a point in 2D space.

Returns:

The minimum distance from the lines of this shape to the point (x, y).

Return type:

float

lines

An iterable of two (x, y) pairs representing the endpoints of a line.

Type:

Iterable[Iterable[numbers.Number]]

plot(ax: Axes = None) → Axes

Plot the shape.

Parameters:

ax (matplotlib.axes.Axes, optional) – An optional Axes object to plot on.

Returns:

The Axes object containing the plot.

Return type:

matplotlib.axes.Axes

class data_morph.shapes.lines.SlantDownLines(dataset: Dataset)

Bases: LineCollection

Class for the slant down lines shape.

This shape is generated using the panda dataset.

Parameters:

dataset (Dataset) – The starting dataset to morph into other shapes.

distance(x: Number, y: Number) → float

Calculate the minimum distance from the lines of this shape to a point (x, y).

Parameters:

• x (numbers.Number) – Coordinates of a point in 2D space.

• y (numbers.Number) – Coordinates of a point in 2D space.

Returns:

The minimum distance from the lines of this shape to the point (x, y).

Return type:

float

lines

An iterable of two (x, y) pairs representing the endpoints of a line.

Type:

Iterable[Iterable[numbers.Number]]

plot(ax: Axes = None) → Axes

Plot the shape.

Parameters:

ax (matplotlib.axes.Axes, optional) – An optional Axes object to plot on.

Returns:

The Axes object containing the plot.

Return type:

matplotlib.axes.Axes

class data_morph.shapes.lines.SlantUpLines(dataset: Dataset)

Bases: LineCollection

Class for the slant up lines shape.

This shape is generated using the panda dataset.

Parameters:

dataset (Dataset) – The starting dataset to morph into other shapes.

distance(x: Number, y: Number) → float

Calculate the minimum distance from the lines of this shape to a point (x, y).

Parameters:

• x (numbers.Number) – Coordinates of a point in 2D space.

• y (numbers.Number) – Coordinates of a point in 2D space.

Returns:

The minimum distance from the lines of this shape to the point (x, y).

Return type:

float

lines

An iterable of two (x, y) pairs representing the endpoints of a line.

Type:

Iterable[Iterable[numbers.Number]]

plot(ax: Axes = None) → Axes

Plot the shape.

Parameters:

ax (matplotlib.axes.Axes, optional) – An optional Axes object to plot on.

Returns:

The Axes object containing the plot.

Return type:

matplotlib.axes.Axes

class data_morph.shapes.lines.VerticalLines(dataset: Dataset)

Bases: LineCollection

Class for the vertical lines shape.

This shape is generated using the panda dataset.

Parameters:

dataset (Dataset) – The starting dataset to morph into other shapes.

distance(x: Number, y: Number) → float

Calculate the minimum distance from the lines of this shape to a point (x, y).

Parameters:

• x (numbers.Number) – Coordinates of a point in 2D space.

• y (numbers.Number) – Coordinates of a point in 2D space.

Returns:

The minimum distance from the lines of this shape to the point (x, y).

Return type:

float

lines

An iterable of two (x, y) pairs representing the endpoints of a line.

Type:

Iterable[Iterable[numbers.Number]]

plot(ax: Axes = None) → Axes

Plot the shape.

Parameters:

ax (matplotlib.axes.Axes, optional) – An optional Axes object to plot on.

Returns:

The Axes object containing the plot.

Return type:

matplotlib.axes.Axes

class data_morph.shapes.lines.WideLines(dataset: Dataset)

Bases: LineCollection

Class for the wide lines shape.

This shape is generated using the panda dataset.

Parameters:

dataset (Dataset) – The starting dataset to morph into other shapes.

distance(x: Number, y: Number) → float

Calculate the minimum distance from the lines of this shape to a point (x, y).

Parameters:

• x (numbers.Number) – Coordinates of a point in 2D space.

• y (numbers.Number) – Coordinates of a point in 2D space.

Returns:

The minimum distance from the lines of this shape to the point (x, y).

Return type:

float

lines

An iterable of two (x, y) pairs representing the endpoints of a line.

Type:

Iterable[Iterable[numbers.Number]]

plot(ax: Axes = None) → Axes

Plot the shape.

Parameters:

ax (matplotlib.axes.Axes, optional) – An optional Axes object to plot on.

Returns:

The Axes object containing the plot.

Return type:

matplotlib.axes.Axes

class data_morph.shapes.lines.XLines(dataset: Dataset)

Bases: LineCollection

Class for the X shape consisting of two crossing, perpendicular lines.

This shape is generated using the panda dataset.

Parameters:

dataset (Dataset) – The starting dataset to morph into other shapes.

distance(x: Number, y: Number) → float

Calculate the minimum distance from the lines of this shape to a point (x, y).

Parameters:

• x (numbers.Number) – Coordinates of a point in 2D space.

• y (numbers.Number) – Coordinates of a point in 2D space.

Returns:

The minimum distance from the lines of this shape to the point (x, y).

Return type:

float

lines

An iterable of two (x, y) pairs representing the endpoints of a line.

Type:

Iterable[Iterable[numbers.Number]]

plot(ax: Axes = None) → Axes

Plot the shape.

Parameters:

ax (matplotlib.axes.Axes, optional) – An optional Axes object to plot on.

Returns:

The Axes object containing the plot.

Return type:

matplotlib.axes.Axes