Image.scatter#

ScatterManager.scatter(x: ndarray | list[float], y: ndarray | list[float], ax: Axes | list[Axes] | int | None = None, **kwargs: Unpack[ScatterKwargs]) PathCollection[source]#

Scatter plot for a 2D function (or a 2D slice).

A simple figure and a single axis can also be created.

Parameters:
- alpha: float, default 1.0

Sets the opacity of the plot, where 1.0 is fully opaque and 0.0 is fully transparent.

- aspect: ‘auto’ | ‘equal’ | float, default ‘auto’

Sets the aspect ratio of the plot. The ‘auto’ keyword is the default option. The ‘equal’ keyword sets the same scaling for x and y. A float fixes the ratio between the y-scale and the x-scale (1.0 is the same as ‘equal’).

- ax: ax | int | None, default None

The axis where to plot. If None, the last considered axis will be used.

- bottom: float, default varies

The bottom limit of the axis / axes set. For the figure layout it is the space from the bottom border to the plot (default 0.1); for an inset zoom it is the bottom position of the inset (default 0.6 + height).

- c: str, default self.color

Determines the color. If not defined, the program will loop over an array of 6 colors which are different for the most common vision deficiencies.

- clabel: str, default None

Sets the label of the colorbar.

- cmap: str, default ‘hot’

Selects the colormap. Some useful colormaps are: plasma, magma, seismic. Please avoid colormaps like jet or rainbow, which are not perceptively uniform and not suited for people with vision deficiencies.

- cpad: float, default 0.07

Fraction of original axes between colorbar and the axes (in axes units).

- cpos: {‘top’,’bottom’,’left’,’right’}, default None

Enables the colorbar and sets its position. If not defined, no colorbar is shown.

- cscale: {‘linear’,’log’,’symlog’,’twoslope’}, default ‘linear’

Sets the colorbar scale. Default is the linear (‘norm’) scale.

- cticks: {[float], None}, default None

If enabled (and different from None), sets manually the ticks on the colorbar.

- ctickslabels: str, default None

If enabled, sets manually ticks labels on the colorbar.

- edgecolor: list[str], default [None]

Sets the edge color of the legend. The default value is black (‘k’).

- edgecolors: str, default None

Enables a contouring color for the markers.

- extend: {‘neither’,’both’,’min’,’max’}, default ‘neither’

Sets the extension of the triangular colorbar extension.

- extendrect: bool, default False

If True, the colorbar extension will be triangular.

- figsize: list[float], default varies

Sets the figure size. The default is [6*sqrt(ncol), 5*sqrt(nrow)], computed from the number of rows and columns (or [8,5] for a single plot).

- fillstyle: {‘full’, ‘left’, ‘right’, ‘bottom’, ‘top’, ‘none’},

default ‘full’ Sets the marker filling. The default value is the fully filled marker (‘full’).

- fontsize: float, default 17.0

Sets the fontsize for all the axis components.

- grid: bool | string, default False

Enables/disables the grid on the plot. If True it enables both axes grids. If ‘x’ or ‘y’ it enables only the x- or y-axis grid.

- hratio: [float], default [1.0]

Ratio between the rows of the plot. The default is that every plot row has the same height.

- hspace: [float], default []

The space between plot rows (in figure units). If not enough or too many spaces are considered, the program will remove the excess and fill the lacks with [0.1].

- label: str, default None

Associates a label to the plot, used for the creation of the legend.

- labelsize: float, default fontsize

Sets the labels fontsize (which is the same for both labels). The default value corresponds to the value of the keyword ‘fontsize’.

- left: float, default varies

The left limit of the axis / axes set. For the figure layout it is the space from the left border to the plot (default 0.125); for an inset zoom it is the left position of the inset (default 0.6).

- legalpha: float, default 0.8

Sets the opacity of the legend.

- legcols: int, default 1

Sets the number of columns that the legend should have.

- legpad: float, default 0.8

Sets the space between the lines (or symbols) and the corresponding text in the legend.

- legpos: int | str, default None

If defined, creates a legend at the specified location.

- legsize: float, default fontsize

Sets the fontsize of the legend. The default value is the default fontsize value.

- legspace: float, default 2

Sets the space between the legend columns, in font-size units.

- ls: {‘-’, ‘–’, ‘-.’, ‘:’, ‘ ‘, etc.}, default ‘-’

Sets the linestyle. The choices available are the ones defined in the matplotlib package.

- lw: float, default 1.3

Sets the linewidth.

- marker: {‘o’, ‘v’, ‘^’, ‘<’, ‘>’, ‘X’, ‘ ‘, etc.}, default ‘ ‘

Sets an optional symbol for every point. The default value is no marker (’ ‘).

- minorticks: str, default None

If not None enables the minor ticks on the plot (for both grid axes).

- ms: float, default 3

Sets the marker size.

- mscale: float, default 1.0

Sets the marker scale. The default value is 1.0.

- ncol: int, default 1

The number of columns of subplots.

- nrow: int, default 1

The number of rows of subplots.

- proj: str, default None

Custom projection for the plot (e.g. 3D). Recommended only if needed. WARNING: pyPLUTO does not support 3D plotting for now, only 3D axes. The 3D plot feature will be available in future releases.

- right: float, default varies

The right limit of the axis / axes set. For the figure layout it is the space from the right border to the plot (default 0.9); for an inset zoom it is the right position of the inset (default left + 0.15).

- sharex: bool | str | Matplotlib axis, default False

Enables/disables the sharing of the x-axis between the subplots.

- sharey: bool | str | Matplotlib axis, default False

Enables/disables the sharing of the y-axis between the subplots.

- suptitle: str, default None

Creates a figure title over all the subplots.

- ticksdir: {‘in’, ‘out’}, default ‘in’

Sets the ticks direction. The default option is ‘in’.

- tickssize: float | bool, default True

Sets the ticks fontsize (which is the same for both grid axes). The default value corresponds to the value of the keyword ‘fontsize’.

- tight: bool, default True

Enables/disables tight layout options for the figure. In case of a highly customized plot (e.g. ratios or space between rows and columns) the option is set by default to False since that option would not be available for standard matplotlib functions.

- title: str, default None

Places the title of the plot on top of it.

- titlepad: float, default 8.0

Sets the distance between the title and the top of the plot.

- titlesize: float, default fontsize

Sets the title fontsize. The default value corresponds to the value of the keyword ‘fontsize’.

- top: float, default varies

The top limit of the axis / axes set. For the figure layout it is the space from the top border to the plot (default 0.9); for an inset zoom it is the top position of the inset (default bottom + height).

- tresh: float, default max(abs(vmin),vmax)*0.01

Sets the threshold for the colormap (used with composite colorscales such as twoslope or symlog).

- vmax: float

The maximum value of the variable to be computed / plotted.

- vmin: float

The minimum value of the variable to be computed / plotted.

- wratio: [float], default [1.0]

Ratio between the columns of the plot. The default is that every plot column has the same width.

- wspace: [float], default []

The space between plot columns (in figure units). If not enough or too many spaces are considered, the program will remove the excess and fill the lacks with [0.1].

- x (not optional): 1D array

The x-axis variable.

- xlabelpad: float, default 4.0

The padding between the x-axis label and the axis.

- xrange: [float, float], default ‘Default’

Sets the range in the x-direction. If not defined, the range is computed automatically from the x-array.

- xscale: {‘linear’,’log’}, default ‘linear’

If enabled (and different from ‘Default’), sets automatically the scale on the x-axis. Data in log scale should be used with the keyword ‘log’, while data in linear scale should be used with the keyword ‘linear’.

- xticks: list[float] | None | bool, default True

If enabled (and different from True), sets manually ticks on the x-axis. In order to completely remove the ticks the keyword should be used with None.

- xtickslabels: list[str] | None | bool, default True

If enabled (and different from True), sets manually the ticks labels on the x-axis. In order to completely remove the ticks the keyword should be used with None. Note that fixed tickslabels should always correspond to fixed ticks.

- xtitle: str, default None

Sets and places the label of the x-axis.

- xtresh: float

The threshold parameter for the x-axis symlog/asinh scale.

- y (not optional): 1D array

The y-axis variable.

- ylabelpad: float, default 4.0

The padding between the y-axis label and the axis.

- yrange: [float, float], default ‘Default’

Sets the range in the y-direction. If not defined, the range is computed automatically from the y-array.

- yscale: {‘linear’,’log’}, default ‘linear’

If enabled (and different from ‘Default’), sets automatically the scale on the y-axis. Data in log scale should be used with the keyword ‘log’, while data in linear scale should be used with the keyword ‘linear’.

- yticks: list[float] | None | bool, default True

If enabled (and different from True), sets manually ticks on the y-axis. In order to completely remove the ticks the keyword should be used with None.

- ytickslabels: list[str] | None | bool, default True

If enabled (and different from True), sets manually the ticks labels on the y-axis. In order to completely remove the ticks the keyword should be used with None. Note that fixed tickslabels should always correspond to fixed ticks.

- ytitle: str, default None

Sets and places the label of the y-axis.

- ytresh: float

The threshold parameter for the y-axis symlog/asinh scale.

Returns:
  • PathCollection

Examples

  • Example #1: Plot a scatter plot of a variable

    >>> I.scatter(x, y)
    
  • Example #2: Plot a scatter plot of a variable with a colorbar

    >>> I.scatter(x, y, cmap="hot", c=x**2 + y**2, cpos="right")