4/2/2023 0 Comments Matplotlib quiverHere in the x_origin, We have used values in the list. It will be a list as coordinate in place of single values. The only change is at data initialization after matplotlib import. In this example, We will see multiple quiver plotting. In the above section, We have plotted with a single arrow. How to create Matplotlib quiver plotting with multiple arrows? import numpy as npįig, gph = plt.subplots(figsize = (5, 5)) Gph.quiver(x_origin, y_origin, x_tip, y_tip) fig, gph = plt.subplots(figsize = (5, 5)) Let’s fit the syntax with the above example. gph.quiver(x_origin, y_origin, x_tip, y_tip) In the above step, We have already initialized the data. Y_tip = 8 Step 2- Plotting Matplotlib quiver We will also initialize the coordinates of the arrow. In this step, we will import the required packages. Matplotlib quiver plotting Implementation- Step 1: Importing Packages and Data Initialization. We can also choose the colors for the quiver arrow. First for the origin and second for the tip of the arrow. In the graphical representation, it looks like an arrow. quiver() is the part of matplotlib.pyplot module. quiver plots the vectors which have magnitudes and directions. Q = ax.quiver(x, y, z, u, v, w, cmap = cmap, length=0.Matplotlib quiver is an arrow based plots. # set zero values transparent, you made them nonzero not to mess up the tip colors Repeated_mask = np.concatenate((mask.ravel(), np.repeat(mask.ravel(), 2))) # Repeat for each body line and two head lines Uvw = min_norm * uvw / norm + (1 - min_norm) * uvw / max_norm # recalculate norms so you don't divide by zero Uvw = uvw + min_norm * np.tile(mask, (3, 1, 1, 1)) / max_norm # and zero vectors become nonzero so colors of the arrow shaft and head correspond. # rescale vs for illustrative purposes, so small vectors become visible Min_norm = 0.3 # you want every arrow to be longer than this fraction of max_norm # change values that are zero to something close to zero # no quivers are plotted, colors don't match anymore # check what happens if all values are zero This changes the color, but q.set_edgecolor(c) q.set_facecolor(c) lets you insert your custom colormap. The colorbar asks explicitely for q.set_array(). Adding a small change to the last part, a colorbar can be included as well. For some reason that I don't understand, simply discarding them didn't work. My solution is to give them a nonzero length and make them transparent. These messed up the correspondence between the arrow tip colors.
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