add gui
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import matplotlib.pyplot as plt
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from postprocessor import *
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class InteractiveGUI:
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"""
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This is a matplotlib interactive session to restrain analysis to a specific area
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"""
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def onbuttonrelease(self, event):
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"""Deal with click events"""
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button = ["left", "middle", "right"]
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toolbar = plt.get_current_fig_manager().toolbar
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if toolbar.mode == "zoom rect" and event.inaxes == self.ax_col:
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print("zooming ")
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xlim = self.ax_col.get_xlim()
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ylim = self.ax_col.get_ylim()
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self.reset_mask()
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elif self.add_mask and event.inaxes == self.ax_col:
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self.plot_side()
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plt.draw()
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def onbuttonpress(self, event):
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"""Deal with click events"""
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button = ["left", "middle", "right"]
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toolbar = plt.get_current_fig_manager().toolbar
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if toolbar.mode != "":
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print(
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"You clicked on something, but toolbar is in mode {:s}.".format(
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toolbar.mode
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)
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)
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print(self.add_mask)
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if self.add_mask and toolbar.mode == "" and event.inaxes == self.ax_col:
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ix, iy = event.xdata, event.ydata
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print("Add patch {}, {}".format(ix, iy))
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xlim = self.ax_col.get_xlim()
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ylim = self.ax_col.get_ylim()
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radius = 0.05 * min(abs(xlim[1] - xlim[0]), abs(ylim[1] - ylim[0]))
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circle = mpatches.Circle(
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[ix, iy], radius, color="black", alpha=0.1, ec="none"
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)
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self.circles.append(circle)
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self.ax_col.add_artist(circle)
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self.ax_col.draw_artist(circle)
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self.patch_mask = self.patch_mask | (
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(self.xx - ix) ** 2 + (self.yy - iy) ** 2 < radius ** 2
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)
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# self.plot_side()
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def onkeypress(self, event):
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"""whenever a key is pressed"""
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if not event.inaxes:
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return
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if event.key == "t":
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self.add_mask = not self.add_mask
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print("Add mode is {}".format(self.add_mask))
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elif event.key == "r":
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self.reset_mask()
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def plot_side(self):
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if self.add_mask:
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mask = (self.patch_mask & self.mask).flatten()
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else:
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mask = self.mask.flatten()
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self.ax_gamma.clear()
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plt.sca(self.ax_gamma)
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plot_dcsdrho(self.fluct_maps, mask, tag=self.tag)
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self.ax_pdf.clear()
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plt.sca(self.ax_pdf)
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sigma_pdf(self.fluct_maps, mask, tag=self.tag, nb_bin_hist=self.args.pdf_nb_bin)
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def reset_mask(self):
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xlim = self.ax_col.get_xlim()
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ylim = self.ax_col.get_ylim()
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self.mask = (
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(self.xx >= xlim[0])
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& (self.xx <= xlim[1])
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& (self.yy >= ylim[0])
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& (self.yy <= ylim[1])
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)
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self.patch_mask = np.full(self.mask.shape, False)
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for circle in self.circles:
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circle.remove()
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self.circles = []
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self.plot_side()
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plt.draw()
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def __init__(self, num, path="./", pp_params=None):
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"""
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Interactive plotting
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"""
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pp = PostProcessor(path, num, pp_params=pp_params, tag="interactive")
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pp.pdf_coldens("z")
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fluct_map = pp.get_value("/maps/avg_map_coldens_z")
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rr = pp.get_value("/maps/rr_z")
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fig, ax = plt.subplots(2)
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im = ax[0].imshow(fluct_map, origin="lower", cmap="RdBu_r")
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cbar = plt.colorbar()
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fig.canvas.mpl_connect("button_release_event", self.onbuttonrelease)
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fig.canvas.mpl_connect("button_press_event", self.onbuttonpress)
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fig.canvas.mpl_connect("key_press_event", self.onkeypress)
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plt.tight_layout()
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plt.show()
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