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Copy pathLNC_plot_v2.py
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205 lines (162 loc) · 6.34 KB
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def depol_plot(fig, ax, xdata, ydata, data, fsize = 21):
import matplotlib.pyplot as plt
import matplotlib.colors as colors
#set colormap to be the same as 'jet' with the addition of white color for
#depol ratios set to identiacally zero because they couldn't be calculated
cdict = {'red': ((0,1,1),
(0.0001, 1, 0),
(0.35, 0, 0),
(0.66, 1, 1),
(0.89,1, 1),
(1, 0.5, 0.5)),
'green': ((0,1,1),
(0.0001, 1, 0),
(0.125,0, 0),
(0.375,1, 1),
(0.64,1, 1),
(0.91,0,0),
(1, 0, 0)),
'blue': ((0,1,1),
(0.0001,1,0.5),
(0.11, 1, 1),
(0.34, 1, 1),
(0.65,0, 0),
(1, 0, 0))}
my_cmap = colors.LinearSegmentedColormap('my_colormap',cdict,1064)
im = ax.imshow(data, vmin=0, vmax=0.5, cmap = my_cmap)
forceAspect(ax,ar)
altticks(ax, ydata, fsize = fsize)
ax.set_ylabel('Altitude [m]', fontsize = fsize+4, labelpad = 15)
for line in ax.yaxis.get_ticklines():
line.set_markersize(10)
line.set_markeredgewidth(1)
ax.axis('tight')
return im
def backscatter_plot(fig, ax, xdata, ydata, data, fsize = 21):
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import numpy as np
im = ax.imshow(data, norm = colors.LogNorm(vmin = 1, vmax = 10),
cmap = plt.cm.jet)
forceAspect(ax,ar)
altticks(ax, ydata, fsize = fsize, tcolor = 'w')
ax.set_ylabel('Altitude [m]', fontsize = fsize+4, labelpad = 15)
for line in ax.yaxis.get_ticklines():
line.set_markersize(10)
line.set_markeredgewidth(1)
ax.axis('tight')
return im
def forceAspect(ax,aspect=1):
im = ax.get_images()
extent = im[0].get_extent()
ax.set_aspect(abs((extent[1]-extent[0])/(extent[3]-extent[2]))/aspect)
def dateticks(ax, axisdat,hours = [], fsize = 21, tcolor = 'k'):
import matplotlib.pyplot as plt
from time import strftime
dold = axisdat[0].strftime('%d')
hold = axisdat[0].strftime('%H')
tickmarks = []
ticklabels = []
n = 0
l = len(axisdat)
for d in axisdat:
dtemp = d.strftime('%d')
if dtemp != dold:
ticklabels.append(d.strftime('%H\n%b %d'))
tickmarks.append(n)
else:
htemp = d.strftime('%H')
mtemp = d.strftime('%M')
if not hours:
if htemp != hold:
ticklabels.append(d.strftime('%H'))
tickmarks.append(n)
else:
if htemp in hours and htemp != hold:
ticklabels.append(d.strftime('%H'))
tickmarks.append(n)
hold = htemp
dold = dtemp
n += 1
plt.xticks(tickmarks,ticklabels,fontsize = fsize)
for line in ax.xaxis.get_ticklines():
line.set_color(tcolor)
line.set_markersize(10)
line.set_markeredgewidth(2)
def altticks(ax, axisdat, numticks = 5, fsize = 21, tcolor = 'k'):
import matplotlib.pyplot as plt
numpoints = len(axisdat)
step = numpoints//numticks
tickmarks = range(0,numpoints,step)
ticklabels = [str(int(t)) for t in axisdat[::step]]
plt.yticks(tickmarks,ticklabels, fontsize = fsize)
for line in ax.yaxis.get_ticklines():
line.set_color(tcolor)
line.set_markersize(10)
line.set_markeredgewidth(3)
if __name__ == '__main__':
import pandas as pan
import os
import LNC_tools_v2 as LNC
import matplotlib.pyplot as plt
import numpy as np
# os.chdir('K:\CORALNet\Data\ASCII Files')
#set date(s) for plot title
## days = list(set(t.strftime('%B %d, %Y') for t in xdata))
## days.sort()
## sdays = list(set(t.strftime('%Y%m%d') for t in xdata))
## sdays.sort()
##
## if len(days) == 1:
## titledays = days[0]
## savedays = sdays[0]
## else:
## titledays = '%s - %s'%(days[0],days[-1])
## savedays = '%s-%s'%(sdays[0],sdays[-1])
##
## title = 'Depolarization Ratio: %s'%titledays
## savetitle = 'Depolrat_%s'%savedays
#create figure and plot image of depolarization ratios
fsize = 18 #baseline font size
ar = 2.0 #aspect ratio
figheight = 12 #inches
plt.rc('font', family='serif', size=fsize)
## cbar = fig.colorbar(im, orientation = 'horizontal', pad = 0.15, aspect = 40)
## cbar.ax.tick_params(labelsize = font)
##
## t = ax.set_title(title, fontsize = fsize+10)
## t.set_y(1.1)
##
## plt.subplots_adjust(top = 0.86, bottom = 0.01, left = 0.09, right = 0.95)
##
fig = plt.figure()
h_set = ['12']
for n in range(1,3):
if n == 1:
filename = LNC.get_files('Select first file to be plotted', filetype = ('.pickle','*.pickle'))
df = pan.load(filename[1:-1])
datetime = df.index
alt = df.columns
ax = fig.add_subplot(2,1,n)
im = backscatter_plot(fig, ax, datetime,alt[::-1],df.T[::-1], fsize = fsize)
cbar = fig.colorbar(im, orientation = 'vertical', aspect = 6)
cbar.ax.tick_params(labelsize = fsize)
dateticks(ax, datetime, hours = h_set, fsize = fsize, tcolor = 'w')
ax.set_xticklabels([])
if n == 2:
filename = LNC.get_files('Select second file to be plotted', filetype = ('.pickle','*.pickle'))
df = pan.load(filename[1:-1])
datetime = df.index
alt = df.columns
ax = fig.add_subplot(2,1,n)
im = depol_plot(fig, ax, datetime,alt[::-1],df.T[::-1], fsize = fsize)
cbar = fig.colorbar(im, orientation = 'vertical', aspect = 6)
cbar.set_ticks(np.arange(0,0.6,0.1))
cbar.set_ticklabels(np.arange(0,0.6,0.1))
#set axis ranges and tickmarks based on data ranges
dateticks(ax, datetime, hours = h_set, fsize = fsize)
ax.set_xlabel('Time [PDT]',fontsize = fsize+4)
fig.autofmt_xdate()
##plt.savefig(savetitle,dpi = 100, edgecolor = 'b', bbox_inches = 'tight')
fig.set_size_inches(figheight*ar,figheight)
plt.show()