legend

Reading the following article, I managed to put a legend outside plot. How to put the legend out of the plot code: import matplotlib.pyplot as pyplot x = [0, 1, 2, 3, 4] y = [xx*xx for xx in x] fig = pyplot.figure() ax = fig.add_subplot(111) box = ax.get_position() ax.set_position([box.x0, box.y0, box.width*0.8, box.height]) ax.plot(x, y) leg = ax.legend(['abc'], loc = 'center left', bbox_to_anchor = (1.0, 0.5)) #pyplot.show() fig.savefig('aaa.png', bbox_inches='tight') pyplot.show() displays the correct plot with a legend outside it. But when I save it as a file with fig.savefig() , the

I would like to plot a raster containing 4 different values ( 1 ) with a categorical text legend describing the categories such as 2 but with colour boxes: I've tried using legend such as : legend( 1,-20,legend = c("land","ocean/lake", "rivers","water bodies")) but I don't know how to associate one value to the displayed color. Is there a way to retrieve the colour displayed with 'plot' and to use it in the legend? The rasterVis package includes a Raster method for levelplot() , which plots categorical variables, and produces an appropriate legend: library(raster) library(rasterVis) ## Example

I got a for i=1:15 . Inside I generate a variable d=1:0.01:10 , which is the x'x axis and based on this, I create a continuous function F(d) which has 2 unique variables pitch and yaw. I then plot this using different colors in every recursion using cmap = hsv(15); . So then it is: d=1:0.01:10; cmap = hsv(15); for i=1:15 pitch = unidrnd(10); yaw = unidrnd(10); for j=1:length(d) F(j) = d(j)*3*pitch*yaw; %// some long calculation here end p1 = plot(d,F,'Linewidth', 1.0); title ('blah blah') set(p1, 'Color', cmap(i,:)); hold on; legend (['pitch,yaw:', num2str(pitch) num2str(yaw)]) end hold off;

t = 0 : 0.01 : 2 * pi; s = sin(t); c = cos(t); m = -sin(t); hold on; plot(t, s, 'r'); plot(t, c, 'b'); plot(t, m, 'g'); hold off; legend('', 'cosine', ''); There are several curves in my plotting. I want to display legend for only some of them. How do I do it? For example, how do I make only the legend for the cosine curve visible in the plotting above? When I call the legend() functions as legend('', 'cosine'); instead of adding the empty third parameter, indeed the third green line is removed from the legend. But that doesn't solve my problem, because the undesired red line stays visible.

I know that if I change the linewidth of a line, that is automatically updated in the legend. However I would like to just change the legend linewidth without affecting the plot. Brendan Wood Here's a simple example of how to do it: import numpy as np import matplotlib.pyplot as plt # make some data x = np.linspace(0, 2*np.pi) y1 = np.sin(x) y2 = np.cos(x) # plot sin(x) and cos(x) p1 = plt.plot(x, y1, 'b-', linewidth=1.0) p2 = plt.plot(x, y2, 'r-', linewidth=1.0) # make a legend for both plots leg = plt.legend([p1, p2], ['sin(x)', 'cos(x)'], loc=1) # set the linewidth of each legend object for

I'd like to create a colorbar legend for a heatmap , such that the labels are in the center of each discrete color. Example borrowed from here : import matplotlib.pyplot as plt import numpy as np from matplotlib.colors import ListedColormap #discrete color scheme cMap = ListedColormap(['white', 'green', 'blue','red']) #data np.random.seed(42) data = np.random.rand(4, 4) fig, ax = plt.subplots() heatmap = ax.pcolor(data, cmap=cMap) #legend cbar = plt.colorbar(heatmap) cbar.ax.set_yticklabels(['0','1','2','>3']) cbar.set_label('# of contacts', rotation=270) # put the major ticks at the middle of

To add a legend to a matplotlib plot, one simply runs legend() . How to remove a legend from a plot? (The closest I came to this is to run legend([]) in order to empty the legend from data. But that leaves an ugly white rectangle in the upper right corner.) As of matplotlib v1.4.0rc4 , a remove method has been added to the legend object. Usage: ax.get_legend().remove() or legend = ax.legend(...) ... legend.remove() See here for the commit where this was introduced. ERN You could use the legend's set_visible method: ax.legend().set_visible(False) draw() This is based on a answer provided to me