![]() A violin plot shows the distribution of a data set using a kernel density estimate (KDE). The next graph demonstrates an array's values specifying a marker shape, size, or color for each data point:Ī violin plot, also called a bean plot, is a way to summarize the distribution of data. We displayed latitude vs longitude, selected markers mode with the filled circle marker, specified that the depth values should select colors from the BlueHot color table, and that the magnitude values should select the marker size. The color and size of each marker in the graph varies to show the depth and magnitude of earthquakes.Įach array has the same number of entries. Here are examples of the fill-to-next mode, with different positive and negative fills: Here are a few example that illustrate some of the features of Igor XY plots. You choose a standard package from the main menu bar just like built-in operations. These packages illustrate how Igor's powerful programming capabilites benefit non-programmers by allowing others to extend Igor's capabilities. Standard packages add derived types such as probability and reciprocal. Of course, you can override and tweak automatic settings to any degree desired.īuilt-in axis types are linear, log10, log2 and date/time. Igor automatically adjusts axis properties to optimize appearance and readability for the current data range and graph size. See Enhanced XY Plotting below for examples. See Layer Graphs below for an example.Ĭolor, marker size and marker style can be set as a function of an auxiliary data set. ![]() Positive and negative fills can have different fill patterns and colors. Styles involving fills (bars, fill to zero, fill to next) can choose from gray scales or patterns. You can create custom markers that can add to or replace existing markers. You can also use characters or text strings as well as arrows (for gradient diagrams) and wind barbs as markers. You can choose between transparent or opaque and can specify the precise stroke thickness. You can pick from a palette of 63 marker styles and can choose the stroke color separately from the fill. You can add your own colors or, for exacting needs, can even set the color from numeric red, green, blue, and transparency values. Display styles involving lines can pick from 18 different line styles and you can even invent your own styles using the Dashed Line editor.Ĭolors of objects (lines, markers, axes etc.) can be picked from Igor's color popup shown at right. As with all Igor dialogs, you can select from data sets anywhere in the entire workspace without leaving the dialog.Įach trace can be individually set to the desired style at any time either by double clicking to visit a dialog or by right-clicking to use a contextual menu. Individual traces can be designated to plot horizontally or vertically and you can specify individual rows or columns from a matrix. Igor's New Graph dialog allows you to create graphs with multiple axes and multiple XY pairs in a single step. See data storage for other properties Igor can associate with data sets. In addition to plotting one data column vs another, Igor has special support for evenly spaced data allowing you to plot a data column vs x values calculated from properties stored with the data itself. ![]() You can use graphs to monitor real-time data acquisition with update rates of 30 times per second even with tens of thousands of data points. Graphs with one point thick lines or dots have extra optimization for speed. XY plots include line, marker, area and bar types along with a variety of derived types such as layer and stacked bar. Wide-Angle Neutron Spin Echo Spectroscopy.
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