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Matplotlib can create plots in a variety of output formats, such as PNG and SVG. Matplotlib mainly does 2-D plots (such as line, contour, bar, scatter, etc.), but 3-D functionality is also available. A simple SVG line plot with Matplotlib. Here is a minimal line plot (output image is shown on the right):
A contour map is a map illustrated with contour lines, for example a topographic map, which thus shows valleys and hills, and the steepness or gentleness of slopes. [4] The contour interval of a contour map is the difference in elevation between successive contour lines. [5] The gradient of the function is always perpendicular to the contour ...
Typical applications include the contour lines on topographic maps or the generation of isobars for weather maps. Marching squares takes a similar approach to the 3D marching cubes algorithm: Process each cell in the grid independently. Calculate a cell index using comparisons of the contour level(s) with the data values at the cell corners.
The 'bathtub curve' hazard function (blue, upper solid line) is a combination of a decreasing hazard of early failure (red dotted line) and an increasing hazard of wear-out failure (yellow dotted line), plus some constant hazard of random failure (green, lower solid line).
Altitude envelope (H-M diagram).Contour is load factor. Turn rate envelope, described in an E-M diagram (doghouse plot). Contour is specific excess power. A doghouse plot generally shows the relation between speed at level flight and altitude, although other variables are also possible.
[[Category:Record label templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Record label templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.
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Geometric active contour, or geodesic active contour (GAC) [8] or conformal active contours [9] employs ideas from Euclidean curve shortening evolution. Contours split and merge depending on the detection of objects in the image. These models are largely inspired by level sets, and have been extensively employed in medical image computing.