By default, Tecplot uses a color map called Small Rainbow, which is a rainbow of colors from blue to cyan to green to yellow to red. This section discusses the global color map. See Section 10- 3.2, “RGB Coloring Options.” 10 - 4 Global Color Map The colors used in flooded contour plots are determined by the global color map, controlled in the Workspace menu, or by frame-specific color options controlled in the Plot menu. This occurs if you supply all three channel variables, and for one or more points, the sum of the variables values does not equal 1.0 or the specified Value at Maximum Intensity. It is possible to have a plot that may contain colors not displayed in the legend. Notes: When two channels are selected (and one is calculated), the legend is a simple ternary plot with each corner labeled with variable name or a user-specified text string. Margin: Specify the margin between the legend text and legend box as a percentage of the text height.Fill Color (Filled only): Choose a color for the legend box fill.Box Color: Choose a color for the legend box outline.Line Thickness: Specify the line thickness as a percentage of frame height.If you choose Filled or Plain, format the box using the following controls:
11.Select which kind of box you want drawn around the legend (No Box, Filled, or Plain). When a channel has been calculated (no variable assigned), no label is shown unless the user enters text. To choose a new label for a channel, click Specify, and type in the alternate label. 10.Each channel can be labeled by the name of the assigned variable, or by text you enter. I'm just not sure how to fix the binning.238 Chapter 10. The matrix returned by histogram2d function has a shape of (12,6) because this is the number of slots between the edges. The bins are 13 for azimuths (0-360) and 7 for zeniths (0-180). The code runs but throws the following warning: Shape of x does not match that of z: found (13, 7) instead of (12, 6). Grid, ae, ze = np.histogram2d(azimuths, zeniths, bins=)įig, ax = plt.subplots(subplot_kw=dict(projection='polar')) But the arrays I pass into the contourf function are misshapen and I'm not sure how to correct this? import numpy as np I would like to plot a polar contour-map of azimuthal and zenith angles obtained from XYZ data.
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