Reorder Legends

Question

I use the following code to plot a histogram. The legend must be presented in the reverse order. How can i do this?

colorsArr = plt.cm.BuPu(np.linspace(0, 0.5, len(C2))) p = numpy.empty(len(C2), dtype=object) plt.figure(figsize=(11,11)) prevBar = 0 for index in range(len(C2)): plt.bar(ind, C2[index], width, bottom=prevBar, color=colorsArr[index], label=C0[index]) prevBar = prevBar + C2[index] # positions of the x-axis ticks (center of the bars as bar labels) tick_pos = [i+(width/2) for i in ind] plt.ylabel('Home Category') plt.title('Affinity - Retail Details(Home category)') # set the x ticks with names plt.xticks(tick_pos, C1) plt.yticks(np.arange(0,70000,3000)) plt.legend(title="Line", loc='upper left' ) # Set a buffer around the edge plt.xlim(-width*2, width*2) plt.show() 

Answer 1

You may call

 handles, labels = ax.get_legend_handles_labels() ax.legend(handles[::-1], labels[::-1], title='Line', loc='upper left') 

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 import numpy as np import matplotlib.pyplot as plt np.random.seed(2016) C0 = list('ABCDEF') C2 = np.random.randint(20000, size=(len(C0), 3)) width = 1.0 C1 = ['foo', 'bar', 'baz'] ind = np.linspace(-width, width, len(C1)) colorsArr = plt.cm.BuPu(np.linspace(0, 0.5, len(C2))) fig = plt.figure(figsize=(11,11)) ax = fig.add_subplot(1, 1, 1) prevBar = 0 for height, color, label in zip(C2, colorsArr, C0): h = ax.bar(ind, height, width, bottom=prevBar, color=color, label=label) prevBar = prevBar + height plt.ylabel('Home Category') plt.title('Affinity - Retail Details(Home category)') # positions of the x-axis ticks (center of the bars as bar labels) tick_pos = [i+(width/2.0) for i in ind] # set the x ticks with names plt.xticks(tick_pos, C1) plt.yticks(np.arange(0,70000,3000)) handles, labels = ax.get_legend_handles_labels() ax.legend(handles[::-1], labels[::-1], title='Line', loc='upper left') plt.show() 

Answer 2

I have not tested this since I have no data, but it is based on the documentation here control legend legend .

 handles = [] for index in range(len(C2)): h = plt.bar(ind, C2[index], width, bottom=prevBar, color=colorsArr[index], label=C0[index]) handles.append(h) prevBar = prevBar + C2[index] plt.legend(title="Line", loc='upper left', handles=handles[::-1]) 

Answer 3

Use a negative number for the vertical spacing of the legend, for example:

 matplotlib.pyplot.stackplot(X, *revDataValues, linewidth=1.0, edgecolor='black') matplotlib.pyplot.legend(revNames, loc=6, bbox_to_anchor=(1.05, 0.5), labelspacing=-2.5, frameon=False, # reverse legend fontsize=9.0) 

Folded area with a modified legend