add gui
This commit is contained in:
Noe Brucy
Noe Brucy
+14
-157
@@ -2,26 +2,22 @@
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import sys
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import os
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from functools import partial
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import tables
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import numpy as np
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from scipy.stats import linregress
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from numpy.polynomial.polynomial import polyfit
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from scipy.ndimage.filters import gaussian_filter1d
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from scipy import optimize
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import matplotlib as mpl
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if os.environ.get("DISPLAY", "") == "":
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print("No display found. Using non-interactive Agg backend")
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mpl.use("Agg")
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from matplotlib.patches import Polygon
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import pylab as P
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from scipy.stats import linregress
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import matplotlib.patches as mpatches
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from matplotlib.collections import PatchCollection
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from functools import partial
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from numpy.polynomial.polynomial import polyfit
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from scipy.ndimage.filters import gaussian_filter1d
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from scipy import optimize
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from comparator import *
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P.rcParams["image.cmap"] = "plasma"
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P.rcParams["savefig.dpi"] = 400
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@@ -105,6 +101,8 @@ class Plotter(Aggregator, BaseProcessor):
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# Define rules
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self.def_rules()
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self.save = None
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def _not_self_dep(self, name, dep, dep_arg, overwrite, **kwargs):
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if dep in self.comp.rules:
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done = self.comp.process(dep, dep_arg, overwrite, overwrite)
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@@ -460,7 +458,7 @@ class Plotter(Aggregator, BaseProcessor):
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coordinates="figure",
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)
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def _plot_radial(self, name, label=None, xlog=False, ylog=False):
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def _plot_radial(self, name, ax_los, label=None, xlog=False, ylog=False):
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radial_bins = self.save.get_node("/radial/radial_bins_" + ax_los).read()
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bin_centers = 0.5 * (radial_bins[1:] + radial_bins[:-1])
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@@ -481,8 +479,8 @@ class Plotter(Aggregator, BaseProcessor):
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def _plot_hist(
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self,
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name,
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ax_los,
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run,
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ax_los=None,
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run="",
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label=None,
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unit=None,
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unit_coeff=1.0,
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@@ -500,6 +498,9 @@ class Plotter(Aggregator, BaseProcessor):
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**kwargs
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):
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if not ax_los is None:
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name = name + "_" + ax_los
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node = self.save.get_node("/hist/" + name)
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if xlog is None:
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@@ -1045,147 +1046,3 @@ class Plotter(Aggregator, BaseProcessor):
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)
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super(Plotter, self).def_rules()
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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 = P.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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P.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 = P.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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P.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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P.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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P.draw()
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def __init__(self, path, run, num, path_out=None, pp_params=default_params()):
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"""
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Interactive plotting
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"""
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self.add_mask = False
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self.circles = []
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self.tag = tag
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# Get plotter object
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self.plot = Plotter(path, [run], [num], path_out, pp_params)
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im_extent = maps_disk["im_extent"]
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fig = P.figure()
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self.ax_col = P.subplot(1, 2, 1)
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coldens = maps_disk["coldens_z"]
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im = self.ax_col.imshow(
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coldens, extent=im_extent, origin="lower", norm=mpl.colors.LogNorm()
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)
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if set_lim:
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im.set_clim(0.01, 100)
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self.ax_col.set_xlabel(r"$x$")
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self.ax_col.set_ylabel(r"$y$")
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self.xx, self.yy, self.fluct_maps = disk_pdf(
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path,
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num,
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maps_disk,
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tag=self.tag,
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force=True,
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put_title=False,
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interactive=True,
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)
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coord_flat = zip(self.xx.flatten(), self.yy.flatten())
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self.ax_gamma = P.subplot(2, 2, 2)
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self.ax_pdf = P.subplot(2, 2, 4)
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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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self.plot_side()
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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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P.tight_layout()
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P.show()
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