def _plot(cls, report, axes, categories, styles): # Display grid axes.grid(b=True, linestyle='-', color='0.75') has_points = False # Generate the scatter plots for category, coords in sorted(categories.items()): X, Y = zip(*coords) axes.scatter(X, Y, s=42, label=category, **styles[category]) if X and Y: has_points = True if report.xscale == 'linear' or report.yscale == 'linear': plot_size = report.missing_val * 1.01 else: plot_size = report.missing_val * 1.25 # make 5 ticks above and below 1 yticks = [] tick_step = report.ylim_top**(1/5.0) for i in xrange(-5, 6): yticks.append(tick_step**i) axes.set_yticks(yticks) axes.get_yaxis().set_major_formatter(ticker.ScalarFormatter()) axes.set_xlim(report.xlim_left or -1, report.xlim_right or plot_size) axes.set_ylim(report.ylim_bottom or -1, report.ylim_top or plot_size) for axis in [axes.xaxis, axes.yaxis]: MatplotlibPlot.change_axis_formatter( axis, report.missing_val if report.show_missing else None) return has_points
def _plot(cls, report, axes, categories, styles): # Display grid axes.grid(b=True, linestyle='-', color='0.75') has_points = False # Generate the scatter plots for category, coords in sorted(categories.items()): X, Y = zip(*coords) axes.scatter(X, Y, s=42, label=category, **styles[category]) if X and Y: has_points = True if report.xscale == 'linear' or report.yscale == 'linear': plot_size = report.missing_val * 1.01 else: plot_size = report.missing_val * 1.25 # make 5 ticks above and below 1 yticks = [] tick_step = report.ylim_top**(1/5.0) for i in xrange(-5, 6): yticks.append(tick_step**i) axes.set_yticks(yticks) axes.get_yaxis().set_major_formatter(ticker.ScalarFormatter()) axes.set_xlim(report.xlim_left or -1, report.xlim_right or plot_size) axes.set_ylim(report.ylim_bottom or -1, report.ylim_top or plot_size) for axis in [axes.xaxis, axes.yaxis]: MatplotlibPlot.change_axis_formatter(axis, report.missing_val if report.show_missing else None) return has_points
def _plot(cls, report, axes, categories, styles): # Display grid axes.grid(b=True, linestyle='-', color='0.75') has_points = False # Generate the scatter plots for category, coords in sorted(categories.items()): X, Y = zip(*coords) axes.scatter(X, Y, s=42, label=category, **styles[category]) if X and Y: has_points = True if report.xscale == 'linear' or report.yscale == 'linear': plot_size = report.missing_val * 1.01 else: plot_size = report.missing_val * 1.25 # Plot a diagonal black line. Starting at (0,0) often raises errors. axes.plot([0.001, plot_size], [0.001, plot_size], 'k') axes.set_xlim(report.xlim_left or -1, report.xlim_right or plot_size) axes.set_ylim(report.ylim_bottom or -1, report.ylim_top or plot_size) for axis in [axes.xaxis, axes.yaxis]: MatplotlibPlot.change_axis_formatter( axis, report.missing_val if report.show_missing else None) return has_points
def _plot(cls, report, axes, categories, styles): # Display grid axes.grid(b=True, linestyle='-', color='0.75') has_points = False # Generate the scatter plots for category, coords in sorted(categories.items()): X, Y = zip(*coords) axes.scatter(X, Y, s=42, label=category, **styles[category]) if X and Y: has_points = True if report.xscale == 'linear' or report.yscale == 'linear': plot_size = report.missing_val * 1.01 else: plot_size = report.missing_val * 1.25 # Plot a diagonal black line. Starting at (0,0) often raises errors. axes.plot([0.001, plot_size], [0.001, plot_size], 'k') axes.set_xlim(report.xlim_left or -1, report.xlim_right or plot_size) axes.set_ylim(report.ylim_bottom or -1, report.ylim_top or plot_size) for axis in [axes.xaxis, axes.yaxis]: MatplotlibPlot.change_axis_formatter(axis, report.missing_val if report.show_missing else None) return has_points