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.

d31d098a792c4b6e9f2a4d84cd60eb3b

Project Selection

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

5adb287a2f324484b92776d881db8864

See the Project Panel page for more details.

Object Selection

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

f3886d8dc7274570825be5a7af601570

Downsampling

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

008f8794f35b49d0a0e964d4753cda75

Axes options

Adjust the data channels used by the scatter plot.

3eaee058566f42f9b9c8c7bc3c755c92

3D Axes

Set the Cartesian axes, color and marker size.

f37ee925324a4a27a92885581dc9e8e3

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

cdbf226b24d845758bf1c30f8a6b7011

Size

Set the maximum marker size to scale values from.

de6b970793984cafa48dc83114821c01

Save HTML

Save an interactive crossplot to an HTML file.

1dcaa5ec731b47849c1b66f1425c3611

[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