ezplot training manual ezplot can be downloaded from after the setup is complete, an ezplot button...
TRANSCRIPT
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EZPlot is an extensive plotting tool that is Excel Based. Excel is significantly enhanced to create many plots quickly and easily. EZplot has many unique capabilities that are covered in the manual.
EZplot:Uses Parameter Names instead of cell locations for plots and calculations
Creates Plots That You Can Interact With (Not Pictures)
Right-Click does everything (this is the only thing to remember)Uses forms (user does not need to remember any commands)
Can use command line inputs. Chart formats set by formatting a cells color, size, font
Is fast and easy to use
SupportsMultiple Y (Multiple Y Axes) PlotsContour Plots2D and 3D InterpolationPolynomial FunctionalityBackground: eZplot is a Plotting and Data Calculation Tool for Excel
eZplot Philosophy
Clearly an Excel based tool is the most flexible and user friendly environment. Most scientist, engineers, analysts etc spend a lot of time plotting in Excel even when other tools are available. EZplot is an Excel based plotting tool that improves productivity. Many plots are created quickly and easily.
EZplot capitalizes on the advantages offered by Excel, and enhances it. Plots are defined with parameter names instead of cell locations. The eZPlot sheet allows the user to interface with forms so that the user does not need to remember any commands. Commands can still be typed manually if desired. The user can manipulate plot titles and labels by either changing the plot or editing a cells font, color, size, etc
In addition, eZplot offers capabilities that are not possible in Excel. These unique capabilities include Multy_Y plots and Contour Plots. Multiple Y axes plots are created that allow for interactive changes. This is just a short list of all the capabilities that eZplot offers.
EZplot improves productivity!!!
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Overview of eZplot: An Excel Based ToolLets Begin With a Quick Overview
1 Plot Package Example: eZplot shows first plot while others generating (Many plots generated quickly)2 Multy_Y (Multiple Y axes plots)3 Contour PlottingOpen embedded files by left clicking (double click if not in slide show)
INFORMATION
Excel Contour Plots
The Excel Contour plots that are created with this routine are just like any other Excel chart. You can interact with the chart, add data series etc This program is designed to work quickly.
What is Rectangular Data?
Rectangular data is data similar to that shown on Sheet1. The data is arranged in columns on Sheet1. Imagine that the data was arranged in a table where each different X value is listed across the top and each different Y value listed down the side. Rectangular data would have Z data such that there are the same number of Z data points in each row OR in each column. A table for rectangular data could be one of the following:
Same # Y for Each X Same # X for Each Y
Example: 3 Z data Example: 3 Z data
points in each column points in each row
x1 x2 x3 x4 x1 x2 x3 x4
y1 z z z z y1 z z z 3
y2 z z z y2 z z z 3
y3 z z y3 z z z 3
y4 z z z y4 z z z 3
3 3 3 3
3 Z data points 3 Z data points
in each column in each column
Note: repeated data points can be used.
In summary, rectangular data means that there is either
1) the same number of Z data points for each different X value
or
2) the same number of Z data points for each different Y value
where each Z data point has an X and a Y value.
Why is Rectangular Data used in Contour Plotting?
One form of Contour Plotting uses rectangular data. Groups of adjacent data points are separated into four points (analogous to the points of a rectangle). The four points are averaged and this value becomes the center point of the rectangle. Lines are drawn between all of these points such that 4 triangles are created. Contour levels are then interpolated between the appropriate sides of a triangle.
Rectangular data determines that groupings of the four points that get used.
Another form of Contour plotting could use random data. In this form, triangles could be made out of adjacent data points. Different techniques can be used to determine which points get triangulated. Usually triangle points are selected such that they are the closest to one another, or within a certain radius. The points that are selected for a triangle effect the resulting contour plot. If rectangular data is used in a random data contour routine, the results can be different then what is expected since triangles can be made from rectangles in different ways.
The techniques used for contour plotting account for the influence of surrounding data points on the contour plot.
SameNumYforEachX and SameNumYforEachX
These specify how the rectangular data is arranged. This is shown in the tables in the Rectangular Data section above.
The data can either have:
1) the same number of Z data points for each different X value (SameNumYforEachX)
or
2) the same number of Z data points for each different Y value (SameNumXforEachY)
The default is SameNumYforEachX.
Makerectangular
Makerectangular is used to make rectangular data from data that is "nearly" rectangular. If there are a few points that the user is unable to provide for rectangular data, then makerectangular repeats the last data point in order to make rectangular data. The routine will only repeat points 5 times before determining that the data is not nearly rectangular enough to fix.
Contour Plot Data
Sheet1 XSheet1 YSheet1 Contour
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