plopp.backends.matplotlib.scatter.Scatter#

class plopp.backends.matplotlib.scatter.Scatter(canvas, data, x='x', y='y', uid=None, size=None, artist_number=0, colormapper=None, mask_color='black', cbar=False, **kwargs)[source]#

Artist to represent a two-dimensional scatter plot.

Parameters:

  • canvas (Canvas) – The canvas that will display the scatter plot.

  • data (DataArray) – The initial data to create the line from.

  • x (str, default: 'x') – The name of the coordinate that is to be used for the X positions.

  • y (str, default: 'y') – The name of the coordinate that is to be used for the Y positions.

  • uid (Optional[str], default: None) – The unique identifier of the artist. If None, a random UUID is generated.

  • size (Union[str, float, None], default: None) – The size of the markers.

  • color – The color of the markers (this is ignored if a colorbar is used).

  • artist_number (int, default: 0) – Number of the artist (can be used to set the color of the artist).

  • colormapper (Optional[ColorMapper], default: None) – The colormapper to use for the scatter plot.

  • mask_color (str, default: 'black') – The color of the masked points.

  • cbar (bool, default: False) – Whether to use a colorbar.

__init__(canvas, data, x='x', y='y', uid=None, size=None, artist_number=0, colormapper=None, mask_color='black', cbar=False, **kwargs)[source]#

Methods

__init__(canvas, data[, x, y, uid, size, ...])

bbox(xscale, yscale)

The bounding box of the scatter points.

notify_artist(message)

Receive notification from the colormapper that its state has changed.

remove()

Remove the scatter and mask artists from the canvas.

update(new_values)

Update the x and y positions of the data points from new data.

Attributes

data