Python Expression Visualizer

Instantly render Python math expressions as beautifully formatted equations. Supports NumPy, SymPy, SciPy, and standard Python math — works in .py files and Jupyter notebooks.

Usage

1. Select any Python math expression or line
2. Press Shift+Alt+V or Shift+option+V to open the equation preview
3. Click "Open Extended Viewer" for a larger view with Raw / Evaluated toggle

Examples

Python	Rendered
sp.integrate(f, (x, 0, 1))
np.linalg.det(A)
sp.diff(f, x, 2)
sp.Matrix([[a, b], [c, d]])
np.sqrt(x**2 + y**2)

Features

• Library-agnostic — np.trapz, sp.integrate, and scipy.integrate.quad all render as ∫
• SymPy evaluation — when SymPy is installed, shows both the raw equation and the evaluated/simplified result
• Wide coverage — trig, hyperbolic, inverse trig, integrals, derivatives, limits, sums, products, matrices, special functions (Γ, erf, Bessel, etc.), Fourier transforms, and more
• Greek letters & subscripts — theta, omega2, x_i all render correctly
• Works in Jupyter notebooks

Keybinding

You can also right-click a selection and choose "Visualize Expression" from the context menu.

Requirements

• Python + SymPy (optional) — if installed, enables the "Evaluated" view showing simplified results
• No other dependencies required — the extension works offline out of the box