# ScatterPlotWidget

class `pyqtgraph.``ScatterPlotWidget`(parent=None)

  This is a high-level widget for exploring relationships in tabular data.

  Given a multi-column record array, the widget displays a scatter plot of a specific subset of the data. Includes controls for selecting the columns to plot, filtering data, and determining symbol color and shape.

  The widget consists of four components:

  1. A list of column names from which the user may select 1 or 2 columns to plot. If one column is selected, the data for that column will be plotted in a histogram-like manner by using `pseudoScatter()`. If two columns are selected, then the scatter plot will be generated with x determined by the first column that was selected and y by the second.
  2. A DataFilter that allows the user to select a subset of the data by specifying multiple selection criteria.
  3. A ColorMap that allows the user to determine how points are colored by specifying multiple criteria.
  4. A PlotWidget for displaying the data.
  `__init__`(parent=None)
  `setData`(data)

    Set the data to be processed and displayed. Argument must be a numpy record array.

  `setFields`(fields, mouseOverField=None)

    Set the list of field names/units to be processed.

    The format of fields is the same as used by `ColorMapWidget.setFields`