Scatter Plot

This application lets users visualize up to 5D of data pulled from any Geoscience ANALYST objects. The application uses the rich graphical interface of Plotly. This application allows users to:

  • Easily flip between 2D and 3D cross-plots.

  • Plot positive and negative values in log scale (symmetric-log)

  • Change the color and size of markers based on property values

  • Zoom, pan, rotate and export figures.

New user? Visit the Getting Started page.

5e5455e0262e40b896eead4850b18bd4

Project Selection

Select and connect to an existing geoh5 or ui.json project file containing data.

aabbdd4582314a7595b2591d42681ed0

See the Project Panel page for more details.

Object Selection

List of objects available for export from the target geoh5 project.

1846210e51ac4e1684b7fe88d83d0dcc

Downsampling

Reduce the points shown on the scatter plot to a percentage of the original amount.

91e91ae595904108ac1c513054a9199e

Axes options

Adjust the data channels used by the scatter plot.

d029bcdc2d0d4f3a9d7f714e4471cf60

3D Axes

Set the Cartesian axes, color and marker size.

fde0271a9ee4490ca923f8a9dc18dcc6

Data: Select the property to be displayed by the axis.

Log10: Scale the values using a symmlog stretch.

Threshold: Small value around zero defining the transition between linear to log.

Min: Set a lower bound on values displayed by the axis.

Max: Set an upper bound on values displayed by the axis.

Color

Select a color scheme from the list of colormaps

099b159abfba485781a059a391afdccb

Size

Set the maximum marker size to scale values from.

5ab02e0373704ee0a68f402db6e4b2eb

Save HTML

Save an interactive crossplot to an HTML file.

2c959b06508247bcbc5f39914e1f1d69

[1]:
import plotly.io as io
import plotly.graph_objects as go

go.FigureWidget(io.read_json("./images/scatter/scatter_plot.json"))

Need help? Contact us at support@mirageoscience.com