better ticks for slices
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4b7386ae7d
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9352ea6f6d
1 changed files with 11 additions and 2 deletions
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@ -25,6 +25,7 @@ def plot_imshow_with_reference( data_list,
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- cmap: colormap to be used for plotting
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"""
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import matplotlib.pyplot as plt
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from matplotlib import ticker
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if titles is None:
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titles = [None for f in data_list]
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@ -65,6 +66,8 @@ def plot_imshow_with_reference( data_list,
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axes[0, i].set_xticklabels(tick_labels[i])
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axes[0, i].set_yticklabels(tick_labels[i])
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axes[0, i].set_xlabel('Mpc/h')
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axes[0, i].xaxis.set_major_formatter(ticker.FormatStrFormatter('%d'))
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axes[0, i].yaxis.set_major_formatter(ticker.FormatStrFormatter('%d'))
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fig.colorbar(im, ax=axes[0, :], orientation='vertical')
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# Plot the data compared to the reference
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@ -76,6 +79,8 @@ def plot_imshow_with_reference( data_list,
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axes[1, i].set_xticklabels(tick_labels[i])
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axes[1, i].set_yticklabels(tick_labels[i])
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axes[1, i].set_xlabel('Mpc/h')
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axes[1, i].xaxis.set_major_formatter(ticker.FormatStrFormatter('%d'))
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axes[1, i].yaxis.set_major_formatter(ticker.FormatStrFormatter('%d'))
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fig.colorbar(im, ax=axes[1, :], orientation='vertical')
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# Add the score on the plots
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@ -93,6 +98,8 @@ def plot_imshow_with_reference( data_list,
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axes.set_xticklabels(tick_labels[0])
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axes.set_yticklabels(tick_labels[0])
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axes.set_xlabel('Mpc/h')
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axes.xaxis.set_major_formatter(ticker.FormatStrFormatter('%d'))
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axes.yaxis.set_major_formatter(ticker.FormatStrFormatter('%d'))
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fig.colorbar(im, ax=axes, orientation='vertical')
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else:
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@ -104,6 +111,8 @@ def plot_imshow_with_reference( data_list,
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axes[i].set_xticklabels(tick_labels[i])
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axes[i].set_yticklabels(tick_labels[i])
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axes[i].set_xlabel('Mpc/h')
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axes[i].xaxis.set_major_formatter(ticker.FormatStrFormatter('%d'))
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axes[i].yaxis.set_major_formatter(ticker.FormatStrFormatter('%d'))
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fig.colorbar(im, ax=axes[:], orientation='vertical')
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return fig, axes
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@ -171,6 +180,6 @@ if __name__ == "__main__":
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fig.suptitle(args.title)
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if args.output is not None:
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fig.savefig(args.output)
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fig.savefig(args.output,bbox_inches='tight')
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else:
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fig.savefig(args.directory+'slices.png')
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fig.savefig(args.directory+'slices.jpg',bbox_inches='tight')
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