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1. Introduction
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PyXPlot Users' Guide
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PyXPlot Users' Guide
Index
Contents
1. Introduction
1.1 Overview
1.2 System Requirements
1.3 Installation
1.4 Credits
1.5 Legal Blurb
2. First Steps With PyXPlot
2.1 Getting Started
2.2 First Plots
2.3 Plotting Datafiles
2.4 Directing Where Output Goes
2.5 Data Styles
2.6 Setting Axis Ranges
2.7 Function Fitting
2.8 Interactive Help
2.9 Differences Between PyXPlot and Gnuplot
3. Extensions of Gnuplot's Interface
3.1 The Commandline Environment
3.2 Formatting and Terminals
3.3 Plotting
3.3.1 Configuring Axes
3.3.2 Keys and Legends
3.3.3 The linestyle keyword
3.3.4 Colour Plotting
3.3.5 General Extensions Beyond Gnuplot
3.4 Sundry Items (Arrows, Text Labels, and More)
3.4.1 Arrows
3.4.2 Text Labels
3.4.3 Gridlines
3.5 Multi-plotting
3.5.1 Speed Issues
3.6 Barcharts and Histograms
3.6.1 Basic Operation
3.6.2 Stacked Bar Charts
3.6.3 Steps
3.7 Function Splicing
3.8 Datafile Interpolation: Spline Fitting
3.9 Numerical Integration and Differentiation
3.10 Script Watching: pyxplot_watch
4. Configuring PyXPlot
4.1 Overview
4.2 Configuration Files
4.3 An Example Configuration File
4.4 Configuration Options: settings section
4.5 Configuration Options: terminal section
4.6 Recognised Colour Names
5. Examples
5.1 Example 1: Plotting Functions - A Simple First Plot
5.2 Example 2: Stacking Many Plots Together - Multiplot
5.3 Example 3: Plotting A Datafile - Using Multiple Axes
5.4 Example 4: Something Completely Different
5.5 Example 5: Multiplot - Linked Axes
5.6 Example 6: Bar Charts and Steps
5.7 Example 7: Bar Charts - Box Widths
5.8 Example 8: Fitting Functions to Data
5.9 Example 9: Simple Examples of Function Splicing
5.10 Example 10: Removal of Unwanted Axes
5.11 Example 11: The Arrows Plot Style
5.12 Output Produced by Examples
6. The fit Command: Mathematical Details
6.1 Notation
6.2 The Probability Density Function
6.3 Estimating the Error in
6.4 The Covariance Matrix
6.5 The Correlation Matrix
6.6 Finding
7. ChangeLog
Index
Dominic Ford 2006-09-09