![]() ![]() ![]() quiver ( x, y, u, v, transform = vector_crs, regrid_shape = 20 ) plt. Known problem: the plot autoscaling does. To plot the coordinates specified above, we can use the following command in each corresponding pair of the elements present in x and y. This is using the new version coming from the code in quiver.py. A matplotlib quiver plot is basically something that helps in displaying the velocity vectors as arrows with the components (u, v) at the points (x, y). Please let me know if I'm not clear in what I'm asking. Demonstration of quiver and quiverkey functions. In this case we can try to use the fact that the quiver is implemented as a LineCollection which (eventually) inherits from ScalarMappable which means it knows what a colormap is and the returned artist has the method setarray. () method is used to plot a 2D field of arrows. way to get quiver (X,Y,U,V) to behave so that the vectors plotted would, for each coordinate (x,y) and corresponding (u,v), be parallel to the vector between (x,y) and (x+u, y+v) (where (x, y) and (u,v) are taken as coordinates in the axis coordinate system). 3D quiver plots are a brand-new feature in 1.4 it (and it's documentation) might still be a bit rough around the edges. title ( 'The same vector field regridded' ) ax2. Matplotlib can be used in Python scripts, the Python and IPython shell, web application servers, and various graphical user interface toolkits like Tkinter, awxPython, etc. The above command plots vectors as arrows at the coordinates. quiver ( x, y, u, v, transform = vector_crs ) ax2 = plt. A quiver plot displays the velocity vectors as arrows with components (u,v) at the points (x,y). figure ( figsize = ( 8, 10 )) x, y, u, v, vector_crs = sample_data ( shape = ( 50, 50 )) ax1 = plt. cos ( 6 * x2d / scale ) return x, y, u, v, crs def main (): plt. cos ( 2 * x2d / scale + 3 * y2d / scale ) v = 20 * np. linspace ( - scale, scale, shape ) x2d, y2d = np. linspace ( - scale, scale, shape ) y = np. The returned CRS will be a North Polar Stereographic projection, meaning that the vectors will be unevenly spaced in a PlateCarree projection. """ import matplotlib.pyplot as plt import numpy as np import cartopy.crs as ccrs def sample_data ( shape = ( 20, 30 )): """ Returns ``(x, y, u, v, crs)`` of some vector data computed mathematically. Regridding can be an effective way of visualising a vector field, particularly if the data is dense or warped. Set the scale to 1 to get your 0.2 units in x an y: x np.linspace(0,1,11) y np.linspace(1,0,11) u v np.zeros((11,11)) u5,5 0.2 plt.quiver(x, y, u, v, scale1) If you don't set scale, matplotlib uses an auto scaling algorithm based on the average vector length and the number of vectors. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK+. ![]() """ Regridding vectors with quiver - This example demonstrates the regridding functionality in quiver (there exists equivalent functionality in :meth:`.barbs`). Matplotlib is a Python library used for plotting and visualizing data. ![]()
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