Chemistry Charts & Visualizations

Publication-ready visualizations for analytical, organic, physical, and electrochemistry research. Every chart includes complete Python code you can copy and run.

Chemistry publications depend on clear, accurately formatted figures - whether you are presenting NMR spectra to characterize a new compound or cyclic voltammograms for an electrochemical study. The chart types below cover the most frequently used figure types across chemical disciplines. All code examples produce output with proper axis labels, SI units, and formatting conventions expected by JACS, Angewandte Chemie, and similar journals.

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Chart Type	Use Case
Spectra Plots (NMR/IR/UV-Vis)	Display absorption, emission, or resonance spectra across wavelength, wavenumber, or chemical shift. Core visualization for analytical and physical chemistry.
Titration Curve	Plot pH or potential versus volume of titrant added. Used for acid-base, redox, and complexometric titration analysis.
Phase Diagram	Map phase boundaries for binary or ternary chemical systems as a function of temperature and composition. Key for solution thermodynamics and alloy design.
Chromatogram	Plot detector response versus retention time for HPLC, GC, or ion chromatography separations. Essential for analytical method development and quality control.
Cyclic Voltammogram	Display current versus applied potential for electrochemical systems. Standard for studying redox reactions, electrode kinetics, and battery materials.
Reaction Coordinate Diagram	Illustrate energy profiles along a reaction pathway showing reactants, transition states, intermediates, and products. Fundamental for mechanistic chemistry.
Beer-Lambert Plot	Plot absorbance versus concentration to determine molar absorptivity and validate linearity. Routine for quantitative UV-Vis and colorimetric assays.
Mass Spectrum	Display relative ion abundance versus mass-to-charge ratio. Used for compound identification, fragmentation analysis, and isotope pattern matching.
Pourbaix Diagram	Map thermodynamic stability regions of aqueous species as a function of pH and electrode potential. Critical for corrosion science and electrochemistry.
Molecular Orbital Diagram	Visualize energy-level ordering and electron occupation of molecular orbitals. Illustrates bonding, antibonding, and non-bonding interactions for teaching and publications.

Related Resources

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Peak fitting, baseline correction, and spectral analysis workflows in Python.

Chemistry Plotting Guide

Best practices for formatting chemistry figures for journal submission.

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Frequently Asked Questions

How do I plot NMR spectra in Python?

Parse the FID or processed spectrum file (Bruker, JEOL, or Varian format) using nmrglue or similar libraries, then plot chemical shift (ppm) on an inverted x-axis against intensity. Include reference peak labels, integration curves if needed, and ensure the axis runs from high to low ppm as per convention. See our spectra plot guide for complete code.

What is the correct way to format a cyclic voltammogram?

Plot current (y-axis) versus applied potential (x-axis) with the scan direction clearly indicated. IUPAC convention uses positive current for oxidation. Include scan rate in the legend, label peak potentials, and use SI units (mA or microA for current, V vs. reference electrode). Multiple scan rates are typically overlaid with a consistent color scheme.

How do I create a reaction coordinate diagram with Python?

Use matplotlib to draw horizontal energy levels connected by curved or straight lines representing the reaction path. Label each stationary point (reactant, transition state, intermediate, product) with its relative energy. Spline interpolation between points produces smooth potential energy curves. Color-coding forward and reverse barriers improves clarity.

Which file formats do chemistry journals prefer for figures?

Vector formats (PDF, EPS, SVG) are preferred for spectra, diagrams, and line plots because they remain sharp at any zoom level. Raster formats (TIFF, PNG) at 300-600 DPI are acceptable for images with embedded photographs. ACS journals specifically recommend EPS or TIFF. Always check the author guidelines for your target journal.