Python matplotlib.legend() Examples

The following are 5 code examples for showing how to use matplotlib.legend(). These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.

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Example 1
Project: GraphicDesignPatternByPython   Author: Relph1119   File: _base.py    License: MIT License 5 votes vote down vote up 
def get_legend(self):
        """Return the `Legend` instance, or None if no legend is defined."""
        return self.legend_
Example 2
Project: python3_ios   Author: holzschu   File: _base.py    License: BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def get_legend(self):
        """Return the `Legend` instance, or None if no legend is defined."""
        return self.legend_
Example 3
Project: coffeegrindsize   Author: jgagneastro   File: _base.py    License: MIT License 5 votes vote down vote up 
def get_legend(self):
        """Return the `Legend` instance, or None if no legend is defined."""
        return self.legend_
Example 4
Project: twitter-stock-recommendation   Author: alvarobartt   File: _base.py    License: MIT License 5 votes vote down vote up 
def get_legend(self):
        """Return the `Legend` instance, or None if no legend is defined."""
        return self.legend_
Example 5
Project: faster-rcnn-scenarios   Author: djdam   File: plot.py    License: MIT License 4 votes vote down vote up 
def plot_chart(log_file, path_to_png, mode=PLOT_MODE.NORMAL):

    mean_ap=0
    phases, detected_mean_ap = parse_log(log_file)
    if detected_mean_ap != None:
        mean_ap=detected_mean_ap

    print "Processing %s with mAP=%f" % (path_to_png, mean_ap)

    plt.figure(1, figsize=(8, 32))

    end_phase=min(len(phases), 4)
    for phase_idx in range(0,end_phase):
        phase=np.array(phases[phase_idx])
        plt.subplot(411+phase_idx)
        label = LABELS[phase_idx]
        plt.title("%s%s"%( "mAP = %f    "%mean_ap if phase_idx == 0 else "",str(label[phase_idx])))


        for x_label,y_label in FIELDS[phase_idx]:
            ## TODO: more systematic color cycle for lines
            color = [random.random(), random.random(), random.random()]
            linewidth = 0.75
            ## If there too many datapoints, do not use marker.
    ##        use_marker = False
            use_marker = True

            # if (mode==PLOT_MODE.MOVING_AVG):

            x_data = [row[x_label] for row in phase]
            y_data = [row[y_label] for row in phase]


            if mode==PLOT_MODE.MOVING_AVG:
                y_data=moving_average(y_data, 100)
            elif mode == PLOT_MODE.BOTH:
                marker = random_marker()
                plt.plot(x_data, y_data, label=label, color=color,
                         marker=marker, linewidth=linewidth)

                color = [random.random(), random.random(), random.random()]
                y_data = moving_average(y_data, 100)

            if not use_marker:
                plt.plot(x_data, y_data, label = label, color = color,
                         linewidth = linewidth)
            else:
                marker = random_marker()
                plt.plot(x_data, y_data, label = label, color = color,
                         marker = marker, linewidth = linewidth)

    #legend_loc = get_legend_loc(chart_type)
    #plt.legend(loc = legend_loc, ncol = 1) # ajust ncol to fit the space
    #plt.xlabel(x_axis_field)
    #plt.ylabel(y_axis_field)

    # plt.annotate(fontsize='xx-small')
    print "Saving...",
    plt.savefig(path_to_png, dpi=600)
    print "done"
    plt.show()