Create a Filled Contour Plot with Lines online with InstaNANO
The InstaNANO Graph Plotter can create a filled contour plot with lines directly in your browser. The interactive graph above is already initialized with example data. Replace those values with your own table, assign the supported column roles, adjust the graph settings, and inspect the result on the same page.
A filled contour plot with lines combines color-coded Z regions with explicit equal-value boundaries. Use it when both the magnitude zones and their level geometry should remain visible.
Required data columns and series controls
| Column role | Supported layout | How InstaNANO uses it |
|---|---|---|
| X-axis | Numeric grid coordinate | The horizontal grid coordinate. |
| Y-axis | Numeric grid coordinate | The vertical grid coordinate and source of the base Color and Name. |
| Z-axis | Numeric field value | The value mapped to the color scale. |
The Y-axis Color and Name rows provide the base series identity. Z values are encoded by the graph color scale; X-axis and Z-axis columns do not have Color or Name cells.
How to make this graph
- Start with the working example. Review the graph and table loaded above so the relationship between the columns and plotted marks is visible before you replace the values.
- Enter or paste your data. Keep the columns in the supported order shown in the table below the graph. Use the Axis row to assign each column’s role.
- Name and distinguish the series. Where the current graph supports them, use the Name row for the displayed series label and the Color row for its color.
- Check the scientific context. Add meaningful axis titles and units, review scale choices, and confirm that row order, missing values, uncertainty columns, or normalization match the intended interpretation.
- Refine and export. Use the available graph controls described below. When the figure is ready, sign in to export a PNG with Download Graph or preserve an editable
.instananofile with Save Project.
What the loaded example demonstrates
The loaded table is a rectangular X–Y grid with a “Response Surface” Z value at each location. It demonstrates the grid structure required by the rendered field views.
What InstaNANO calculates and renders
The renderer requires a complete rectangular X–Y–Z grid, fills threshold regions, and overlays the corresponding contour paths. Thresholds are generated from the current Z range and selected level count.
Levels and gradient settings control the display; the renderer uses only the first complete X–Y–Z grid block.
Scientific instruments and research data suited to this graph
Use it for response or spatial fields where readers must compare value regions while tracing approximate equal-response paths across the coordinate plane.
Broad instrument and data coverage
- Microscopy and surface maps: Numeric X–Y–Z measurements derived from AFM height or phase maps, profilometry, confocal scans, SEM/TEM/STEM intensity maps, and EDS/EELS elemental maps. Raw images must first be converted to coordinates and values.
- Spectroscopic and diffraction mapping: Raman, FTIR, photoluminescence, XRD, XRF, XPS, or hyperspectral map values represented at measured spatial or parameter coordinates.
- Thermal, electrical, magnetic, and mechanical fields: Temperature, heat flux, potential, current density, magnetic response, strain, stress, displacement, hardness, or other mapped values over two coordinates.
- Experimental design and process optimization: Yield, conversion, selectivity, response, quality, or performance across two controlled variables on a grid or sampled coordinate field.
- Simulation and modeling fields: Finite-element, fluid, thermal, electromagnetic, diffusion, phase-field, and other computed scalar fields, provided that interpolation or faceting is consistent with the numerical model.
Representative questions for this exact graph
- A gridded response surface where both zones and iso-response boundaries matter.
- Spatial mapping that needs color magnitude and traceable level lines.
- Parameter optimization maps where readers compare broad regions and approximate thresholds.
This coverage is not limited to the instruments named above. InstaNANO can plot other experimental, microscopy-derived, computational, simulation, and processed research data when the required column roles are present and this graph’s encoding is scientifically appropriate.
Data checks before interpretation
- Check coordinate spacing, duplicate locations, and missing grid cells before interpreting interpolation or contours.
- Keep the Z color scale and units visible because color is the quantitative encoding.
Frequently asked questions about Filled Contour Plot with Lines
Do the color zones and lines provide greater measurement precision than the grid?
The colored zones and lines are calculated from gridded interpolation. Their apparent precision depends on sampling density and level selection, not on an additional physical measurement.
Can I plot data from instruments or research workflows not listed here?
Yes. The instrument and dataset examples on this page are representative rather than a fixed compatibility list. InstaNANO can create a filled contour plot with lines from other experimental, computational, simulation, and processed research data when the table follows these roles: X-axis (numeric grid coordinate), Y-axis (numeric grid coordinate), Z-axis (numeric field value). Microscopy use refers to numeric profiles, coordinates, dimensions, counts, intensities, distributions, or map values extracted from images; the graph does not convert a raw micrograph into numerical data.
Can I use this filled contour plot with lines in a publication, thesis, report, poster, or presentation?
Yes, after scientific and visual review. InstaNANO can be used to prepare a filled contour plot with lines for a journal manuscript, thesis or dissertation, technical report, poster, conference slide, classroom presentation, or other formal scientific communication. After sign-in, Download Graph exports a PNG, defaults to 600 dpi, and offers a transparent-background option. For this graph, show the X, Y, and Z units, color scale, sampling density, grid completeness, and whether interpolation, contours, or facets are derived between observations. Also check final dimensions, font size, line and symbol weight, color accessibility, caption content, and the destination’s required file format. The current export is PNG, so a journal that requires TIFF, EPS, PDF, SVG, or another format needs a journal-specific workflow. InstaNANO supports figure preparation, but it cannot guarantee that a journal, conference, institution, or publisher will accept a figure.
Choose a related graph when needed
Choose Filled Contour for a quieter level map, Contour Lines for boundary-only reading, or Interpolated Heatmap for a continuous color field without explicit levels.
Plot your data or compare graph types
Edit the loaded Filled Contour Plot with Lines example above to test your own values. If this encoding does not match the scientific question, compare the complete graph-type directory or return to the online graph plotter.