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plotting.py
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plotting.py
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import os
import glob
import shutil
import re
import time
import math
#import pyfits
import astropy.io.fits as pyfits
import numpy as np
import pylab
import matplotlib
import matplotlib.pyplot as plt
USE_PLOT_GUI=False
from matplotlib.figure import Figure
from matplotlib.backends.backend_agg import FigureCanvasAgg
import matplotlib.ticker as mticker
import threedhst
def plot_init(square=True, xs=6, aspect=1, left=0.22, bottom=0.11, right=0.02, top=0.02, wspace=0.2, hspace=0.02, fontsize=10, NO_GUI=False, use_tex=False, invert=False):
"""
Wrapper for generating a plot window, contains input parameters for setting the
full window geometry and also handles toggling the GUI/interactive backend.
NO_GUI should be set to True if your session has no X11 connection.
"""
import unicorn
import matplotlib
rc = matplotlib.rcParams
#### If logged in to an external machine ("uni"), don't use GUI plotter
if unicorn.hostname().startswith('uni') | NO_GUI:
unicorn.plotting.USE_PLOT_GUI = False
else:
unicorn.plotting.USE_PLOT_GUI = True
# plt.rcParams['font.family'] = 'serif'
# plt.rcParams['font.serif'] = ['Times']
plt.rcParams['patch.edgecolor'] = 'None'
plt.rcParams['font.size'] = fontsize
plt.rcParams['image.origin'] = 'lower'
plt.rcParams['image.interpolation'] = 'nearest'
if use_tex:
plt.rcParams['text.usetex'] = True
plt.rcParams['font.family'] = 'serif'
plt.rcParams['font.serif'] = 'Times'
#### White on black colormap
if invert:
if isinstance(invert, str):
color = invert
else:
color = 'white'
rc['lines.color'] = color
rc['patch.edgecolor'] = color
rc['text.color'] = color
rc['axes.facecolor'] = 'black'
rc['axes.edgecolor'] = color
rc['axes.labelcolor'] = color
rc['xtick.color'] = color
rc['ytick.color'] = color
rc['grid.color'] = color
rc['figure.facecolor'] = 'black'
rc['figure.edgecolor'] = 'black'
rc['savefig.facecolor'] = 'black'
rc['savefig.edgecolor'] = 'black'
else:
rc['lines.color'] = 'black'
rc['patch.edgecolor'] = 'black'
rc['text.color'] = 'black'
rc['axes.facecolor'] = 'white'
rc['axes.edgecolor'] = 'black'
rc['axes.labelcolor'] = 'black'
rc['xtick.color'] = 'black'
rc['ytick.color'] = 'black'
rc['grid.color'] = 'black'
rc['figure.facecolor'] = 'white'
rc['figure.edgecolor'] = 'white'
rc['savefig.facecolor'] = 'white'
rc['savefig.edgecolor'] = 'white'
if square:
#xs=5
lrbt = np.array([left,right,bottom,top])*5./xs
ys = (1-lrbt[1]-lrbt[0])/(1-lrbt[3]-lrbt[2])*xs*aspect
lrbt[[2,3]] /= aspect
if USE_PLOT_GUI:
fig = plt.figure(figsize=(xs,ys), dpi=100)
else:
fig = Figure(figsize=(xs,ys), dpi=100)
fig.subplots_adjust(left=lrbt[0], bottom=lrbt[2], right=1-lrbt[1], top=1-lrbt[3], wspace=wspace, hspace=hspace)
else:
if USE_PLOT_GUI:
fig = plt.figure(figsize=(7,5), dpi=100)
else:
fig = Figure(figsize=(7,5), dpi=100)
fig.subplots_adjust(wspace=wspace, hspace=hspace,left=0.10,
bottom=0.10,right=0.99,top=0.97)
if invert:
fig.invert = True
else:
fig.invert = False
return fig
def savefig(fig, filename='figure.png', no_tex=True, dpi=100, increment=False, transparent=False):
"""
Wrapper around the `savefig` method to handle the two different backends, set whether or not
an X11/interactive connection is available.
If `increment` is set and the output filename exists, add an integer to
the filename to avoid overwriting the current figure.
"""
try:
if fig.invert:
fig.patch.set_visible(False)
for ax in fig.axes:
ax.patch.set_visible(False)
except:
pass
if increment:
if os.path.exists(filename):
spl = filename.split('.')
root, ext = '.'.join(spl[:-1]), spl[-1]
saved = glob.glob('%s.[0-9]*.%s' %(root, ext))
filename = '%s.%03d.%s' %(root, len(saved)+1, ext)
print 'Save %s' %(filename)
if USE_PLOT_GUI:
fig.savefig(filename,dpi=dpi,transparent=transparent)
else:
canvas = FigureCanvasAgg(fig)
canvas.print_figure(filename, dpi=dpi, transparent=transparent)
#
if no_tex:
plt.rcParams['text.usetex'] = False
plt.rcParams['font.family'] = 'sans-serif'
class MyLocator(mticker.MaxNLocator):
"""
Set maximum number of ticks, from
http://matplotlib.sourceforge.net/examples/pylab_examples/finance_work2.html
"""
def __init__(self, *args, **kwargs):
mticker.MaxNLocator.__init__(self, *args, **kwargs)
def __call__(self, *args, **kwargs):
return mticker.MaxNLocator.__call__(self, *args, **kwargs)
def fill_between_steps(x, y, z, ax=None, *args, **kwargs):
"""
Make `fill_between` work like linestyle='steps-mid'.
"""
so = np.argsort(x)
mid = x[so][:-1] + np.diff(x[so])/2.
xfull = np.append(np.append(x, mid), mid+np.diff(x[so])/1.e6)
yfull = np.append(np.append(y, y[:-1]), y[1:])
zfull = np.append(np.append(z, z[:-1]), z[1:])
so = np.argsort(xfull)
if ax is None:
ax = plt.gca()
ax.fill_between(xfull[so], yfull[so], zfull[so], *args, **kwargs)
def scatter_annotate(x, y, labels, xtol=None, ytol=None, ax=None,*args, **kwargs):
if ax is None:
axi = plt
else:
axi = ax
if len(labels) != len(x):
threedhst.showMessage('`x`, `y`, and `labels` inputs must be same size', warn=True)
return False
if not isinstance(labels, list):
labels = list(labels)
plt.scatter(x, y, *args, **kwargs)
af = AnnoteFinder(x, y, labels, xtol=xtol, ytol=ytol, axis=ax)
plt.connect('button_press_event', af)
return af
# Code taken from http://www.scipy.org/Cookbook/Matplotlib/Interactive_Plotting for annotating
# a plot label with some sort of label per point.
def linkAnnotationFinders(afs):
for i in range(len(afs)):
allButSelfAfs = afs[:i]+afs[i+1:]
afs[i].links.extend(allButSelfAfs)
class AnnoteFinder:
"""
callback for matplotlib to display an annotation when points are clicked on. The
point which is closest to the click and within xtol and ytol is identified.
Register this function like this:
scatter(xdata, ydata)
af = AnnoteFinder(xdata, ydata, annotes)
connect('button_press_event', af)
"""
def __init__(self, xdata, ydata, annotes, axis=None, xtol=None, ytol=None):
self.data = zip(xdata, ydata, annotes)
if xtol is None:
# xtol = ((max(xdata) - min(xdata))/float(len(xdata)))/2
xtol = (max(xdata) - min(xdata))/40.
if ytol is None:
# ytol = ((max(ydata) - min(ydata))/float(len(ydata)))/2
ytol = (max(ydata) - min(ydata))/40.
self.xtol = xtol
self.ytol = ytol
if axis is None:
self.axis = pylab.gca()
else:
self.axis= axis
self.drawnAnnotations = {}
self.links = []
def distance(self, x1, x2, y1, y2):
"""
return the distance between two points
"""
return math.hypot(x1 - x2, y1 - y2)
def __call__(self, event):
tb = pylab.get_current_fig_manager().toolbar
if not (tb.mode == ''):
return False
if (event.inaxes):
clickX = event.xdata
clickY = event.ydata
if self.axis is None or self.axis==event.inaxes:
annotes = []
for x,y,a in self.data:
if clickX-self.xtol < x < clickX+self.xtol and clickY-self.ytol < y < clickY+self.ytol :
annotes.append((self.distance(x,clickX,y,clickY),x,y, a) )
if annotes:
annotes.sort()
distance, x, y, annote = annotes[0]
self.drawAnnote(event.inaxes, x, y, annote)
for l in self.links:
l.drawSpecificAnnote(annote)
def drawAnnote(self, axis, x, y, annote):
"""
Draw the annotation on the plot
"""
if (x,y) in self.drawnAnnotations:
markers = self.drawnAnnotations[(x,y)]
for m in markers:
m.set_visible(not m.get_visible())
self.axis.figure.canvas.draw()
else:
t = axis.text(x,y, "%s" %(annote), )
print annote
m = axis.scatter([x],[y], marker='s', c='r', zorder=100)
self.drawnAnnotations[(x,y)] =(t,m)
self.axis.figure.canvas.draw()
def drawSpecificAnnote(self, annote):
annotesToDraw = [(x,y,a) for x,y,a in self.data if a==annote]
for x,y,a in annotesToDraw:
self.drawAnnote(self.axis, x, y, a)