wradlib Documentation - Bitbucket

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wradlib Documentation, Release 0.1.1 angle-axis label, not used at the moment, due to inconvenient placing defaults to ‘$Angle$’)# ($^{circ}$)’ saveto : string - path of the file in which the figure should be saved if string is empty, no figure will be saved and the plot will be sent to screen fig : matplotlib axis object if None, a new matplotlib figure will be created, otherwise we plot on given figure figsize : width , hight tuple in inches defaults to (10,6) axpos : an integer or a string correponds to the positional argument of mpl_toolkits.axisartist.SubplotHost defaults to ‘111’ TODO: if multiple plots are used, position and size of labels have to be corrected in source code colormap : string choose the colormap (“Paired” per default) classes : sequence of numerical values class boundaries for plotting unit : string the unit of the data which is plotted extend : string determines the behaviour of the colorbar: default value ‘neither’ produces a standard colorbar, ‘min’ and ‘max’ produces an arrow at the minimum or maximum end, respectively, and ‘both’ produces an arrow at both ends. If you use class boundaries for plotting, you should typically use ‘both’. Returns fig : figure object, just for testing and in the case of multiplot pl : pylab object, just for testing and in the case of multiplot 3.15.3 wradlib.vis.Grid2Basemap class wradlib.vis.Grid2Basemap(bbox, classes, unit=’‘, points={}, cmap=, shpfiles=[], **kwargs) Plot gridded data on a background map STILL UNDER DEVELOPMENT!!! This class allows to plot gridded data (e.g. PPIs, CAPPIs, composites) on a background. The background map (Basemap) can include country borders, coastlines, meridians as well as user-defined shapefiles. The plot will appear as filled contours. In order to plot user defined backgroud data such as points or shapefiles, these have to be provided in “geographical projection”, i.e. in lat/lon coordinates based on WGS84. You can use any GIS for this task. Shapefiles are then passed to the constructor by providing a list of file paths in the argument shpfiles (see Parameters). Using Grid2Basemap(...), the background map is plotted. The actual data is plotted by using the plot method. This procedure allows to repeatedly plot data on a map (e.g. a time series) without each time plotting the 88 Chapter 3. Library Reference
wradlib Documentation, Release 0.1.1 background again. This will save a huge amount of processing time if a large number of images is plotted over the same background. Parameters bbox : dictionary the bounding box of the entire map in lat/lon classes : list of floats classes of the plotting variable for which colors should be homogenoeous unit : string points : dictionary shpfiles : list of strings paths to shapefiles which will be plotted as map background cmap : name of the default colormap in case no colormap is provided in the config file Methods plot(lon, lat, data[, title, saveto]) Plot the data on the map background wradlib.vis.Grid2Basemap.plot Grid2Basemap.plot(lon, lat, data, title=’‘, saveto=None) Plot the data on the map background Parameters lon : array of longitudes lat : array of latitudes data : data array of shape (number of longitudes, number of latitudes) title : figure title saveto : string to a directory where figures should be stored plot(lon, lat, data[, title, saveto]) Plot the data on the map background wradlib.vis.Grid2Basemap.plot Grid2Basemap.plot(lon, lat, data, title=’‘, saveto=None) Plot the data on the map background Parameters lon : array of longitudes lat : array of latitudes data : data array of shape (number of longitudes, number of latitudes) title : figure title saveto : string to a directory where figures should be stored 3.15. Visualisation 89
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wradlib Documentation - Bitbucket

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