Create perfect printable semi-logarithmic graph paper for exponential data, scientific calculations, and engineering applications. Customize log cycles, linear spacing, and export as high-quality PDF or PNG.
Create perfect semi-logarithmic graph paper for exponential data analysis, scientific research, and engineering calculations. Customize log cycles, linear spacing, and export as high-quality PDF or PNG.
Perfect for plotting exponential growth, population studies, radioactive decay, and compound interest calculations where exponential relationships appear as straight lines.
Ideal for chemistry pH scales, physics measurements, biological growth rates, and any scientific data spanning multiple orders of magnitude.
Great for frequency response analysis, signal processing, Bode plots, and electrical engineering applications requiring logarithmic scaling.
Exponential functions, logarithms, growth and decay models
Population biology, chemistry kinetics, physics measurements
AP Calculus, Statistics, Engineering, and Research Methods
Select which axis should be logarithmic (Y-axis is most common). Choose the number of log cycles (3-4 works well for most data).
Set linear axis spacing and adjust colors. Watch your semi-log paper update instantly as you make changes.
Export as PDF for printing or PNG for digital use. Perfect for scientific calculations and exponential data analysis.
Create standard square grid paper for linear functions, coordinate geometry, and general mathematics.
Generate polar coordinate graph paper for circular functions and advanced mathematics.
Create isometric grid paper for 3D technical drawings and architectural sketches.
Choose log axis (Y-axis recommended), set number of cycles, and select base (10 is standard)
Click "Export PDF" for printable semi-log graph paper
Use 100% scale, no fit-to-page for accurate logarithmic scaling
Semi-log graph paper is perfect for plotting exponential data where one variable changes exponentially relative to another. When you plot exponential growth or decay on semi-log paper, it appears as a straight line, making it easy to analyze rates and make predictions. Common uses include population growth, radioactive decay, compound interest, and scientific measurements spanning multiple orders of magnitude.
Y-axis logarithmic scaling is most common and useful when your dependent variable (usually plotted on Y-axis) changes exponentially over time or another linear independent variable. Use X-axis logarithmic scaling when your independent variable spans multiple orders of magnitude, such as frequency response analysis in engineering. For most scientific applications, Y-axis logarithmic scaling is the standard choice.
The number of log cycles depends on your data range. For most applications, 3-4 cycles work well, covering 3-4 orders of magnitude (e.g., 1 to 1000 or 10 to 10,000). If your data spans from 1 to 100, use 2 cycles. For data from 0.1 to 1000, use 4 cycles. Choose enough cycles to comfortably fit your data range with some room for extrapolation.
Base 10 (common logarithm) is most widely used in science and engineering, with major divisions at 1, 10, 100, 1000, etc. Base 2 is useful for computer science and binary data, with divisions at 1, 2, 4, 8, 16, etc. Natural log (base e) is used in advanced mathematics and physics for exponential processes. For most educational and scientific purposes, base 10 is the standard choice.
Absolutely! Our semi-log graph paper generator is completely free for educational use. Teachers can download and print unlimited copies for their students. The PDF format ensures accurate scaling when printed at 100% size. Perfect for math classes, science labs, and engineering courses where students need to analyze exponential data and create professional-looking graphs.
