Matplotlib Vertical Lines: axvline(), vlines(), and plot()
Draw Matplotlib vertical markers with axvline(), data-space segments with vlines(), and ordinary line data with plot().
Python Blog: Tutorials, Fixes, and Projects
Browse practical Python tutorials, error fixes, library guides, data science examples, and project ideas from Python Pool.
NumPy hstack(): Stack Arrays Horizontally by Shape
Use NumPy hstack() to join vectors and matrices horizontally, understand one- and two-dimensional shape rules, and avoid mismatched layouts.
NumPy vstack(): Stack Arrays Vertically and Check Shapes
Use NumPy vstack() to combine arrays by rows, understand one-dimensional promotion, validate shapes, and choose concatenate or stack when the operation differs.
NumPy tile(): Repeat Arrays, Shapes, and Broadcasting
Repeat NumPy array patterns with tile(), understand reps and shape promotion, compare repeat(), and avoid unnecessary copies for arithmetic.
NumPy squeeze(): Remove Singleton Axes Safely
Use NumPy squeeze() to remove axes of length one, select an axis deliberately, understand shape changes, and avoid dimension errors.
Matplotlib Table: Add, Style, and Format Table Cells
Create Matplotlib tables with cellText, row and column labels, widths, colors, font size, and readable layout control.
Matplotlib Arrow: Add, Style, and Annotate Arrows
Draw Matplotlib arrows with annotate and patch controls, position arrowheads correctly, and keep labels readable across plots and responsive exports.
NumPy convolve(): 1D Convolution Modes and Examples
Use NumPy convolve for one-dimensional signals, understand full same and valid modes, choose operand order, and avoid unexpected output lengths.
NumPy dot(): Dot Products, Shapes, matmul, and @
Use np.dot() correctly by checking dimensions, separating vector, matrix, and element-wise multiplication, and choosing the clearest NumPy API.
Matplotlib contourf(): Levels, Colormaps, Colorbars, and Grids
Use Matplotlib contourf() with X, Y, Z grids, levels, colormaps, colorbars, contour lines, normalization, and layout checks.