In [1]:
%matplotlib inline
import mpld3
mpld3.enable_notebook()
import matplotlib.pyplot as plt

/home/rayg/.conda/envs/shis/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-12 17:34:44.714446. Please add timezone info to timestamps.
  chunks = self.iterencode(o, _one_shot=True)
In [2]:
# import ifg.shis.rdr.valid as val
from pyfbf import Workspace
import numpy as np
W = Workspace('rdr20170411T161346end20170411T220220sdr20170411T224336')

/home/rayg/.conda/envs/shis/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-12 17:34:54.027760. Please add timezone info to timestamps.
  chunks = self.iterencode(o, _one_shot=True)
In [3]:
pitch,roll,segments,smp,sequences = W['Pitch'][:], W['Roll'][:], W['segments'][:], W['sceneMirrorPosition'][:], W['intactMirrorSequences'][:]

/home/rayg/.conda/envs/shis/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-12 17:34:56.561001. Please add timezone info to timestamps.
  chunks = self.iterencode(o, _one_shot=True)
In [4]:
gudrex = np.argwhere(smp==ord('E'))

fig = plt.figure(figsize=(15,10))
ax = fig.add_subplot(111, axisbg='#EEEEEE')
ax.grid(color='white', linestyle='solid')
# ax.plot(seg, color='blue')
ax.plot(gudrex, segments[gudrex], color='green')
# ax.legend(['test segmentize', 'original segments'])
ax.set_title('segments.int4 test for E views sh170328')

/home/rayg/.conda/envs/shis/lib/python2.7/site-packages/matplotlib/cbook.py:136: MatplotlibDeprecationWarning: The axisbg attribute was deprecated in version 2.0. Use facecolor instead.
  warnings.warn(message, mplDeprecation, stacklevel=1)
Out[4]:
<matplotlib.text.Text at 0x7ffbc1ea7550>
/home/rayg/.conda/envs/shis/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-12 17:35:04.034142. Please add timezone info to timestamps.
  chunks = self.iterencode(o, _one_shot=True)
In [5]:
' '.join(str(x) for x in sorted(set(segments)))
Out[5]:
'-1 0 3 4 5 6 7 8 9'
/home/rayg/.conda/envs/shis/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-12 17:35:43.047972. Please add timezone info to timestamps.
  chunks = self.iterencode(o, _one_shot=True)
In [6]:
fig = plt.figure(figsize=(15,10))
ax = fig.add_subplot(111, axisbg='#EEEEEE')
ax.grid(color='white', linestyle='solid')
ax.plot(roll, alpha=0.7, color='blue', linewidth=0.5)
ax.plot(pitch, alpha=0.7, color='green', linewidth=0.5)
ax.legend(['Roll', 'Pitch'])
# ax.set_title()
Out[6]:
<matplotlib.legend.Legend at 0x7ffbc1d8fe10>
/home/rayg/.conda/envs/shis/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-12 17:35:57.086752. Please add timezone info to timestamps.
  chunks = self.iterencode(o, _one_shot=True)
In [7]:
s,e = 16000,30000

fig = plt.figure(figsize=(15,10))
ax = fig.add_subplot(111, axisbg='#EEEEEE')
ax.grid(color='white', linestyle='solid')
ax.plot(roll[s:e], alpha=0.7, linewidth=0.5, color='blue')
ax.plot(roll[s:e], alpha=0.7, linewidth=0.5, color='green')
ax.plot(np.sign(segments[s:e]) * 20, linewidth=0.5, color='red')
# plot(np.require(ok[s:e], dtype=np.int32) * 25)
ax.legend(['Roll', 'Pitch', 'segments sign'])
ax.set_title('Attitude excerpt sh170328')
ax.set_xlabel('record offset')
ax.set_ylabel('degrees')
Out[7]:
<matplotlib.text.Text at 0x7ffbc1d2de10>
/home/rayg/.conda/envs/shis/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-12 17:36:10.005127. Please add timezone info to timestamps.
  chunks = self.iterencode(o, _one_shot=True)
In [8]:
unroll, turnroll, flatroll, calroll = np.array(roll), np.array(roll), np.array(roll), np.array(roll)
eview = smp==ord('E')
unroll[(segments!=0) | ~eview] = np.NAN
turnroll[(segments>=0) | ~eview] = np.NAN
flatroll[(segments<=0) | ~eview] = np.NAN
calroll[eview] = np.NAN

fig = plt.figure(figsize=(15,15))
ax = fig.add_subplot(111, axisbg='#EEEEEE')
ax.grid(color='white', linestyle='solid') 
ax.plot(calroll, alpha=0.7, linewidth=0.5, color='purple')
ax.plot(unroll, alpha=0.9, linewidth=0.5, color='red')
ax.plot(flatroll, alpha=0.9, linewidth=0.5, color='blue')
ax.plot(turnroll, alpha=0.9, linewidth=0.5, color='green')

ax.set_title('Roll for Segment-Categorized Views')
ax.legend(['not earth', 'segments==0', 'segments>0', 'segments<0'])
Out[8]:
<matplotlib.legend.Legend at 0x7ffbbab1ecd0>
/home/rayg/.conda/envs/shis/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-12 17:36:20.008397. Please add timezone info to timestamps.
  chunks = self.iterencode(o, _one_shot=True)
In [9]:
unpitch, turnpitch, flatpitch, calpitch = np.array(pitch), np.array(pitch), np.array(pitch), np.array(pitch)
eview = smp==ord('E')
unpitch[(segments!=0) | ~eview] = np.NAN
turnpitch[(segments>=0) | ~eview] = np.NAN
flatpitch[(segments<=0) | ~eview] = np.NAN
calpitch[eview] = np.NAN

fig = plt.figure(figsize=(15,15))
ax = fig.add_subplot(111, axisbg='#EEEEEE')
ax.grid(color='white', linestyle='solid')
ax.plot(calpitch, alpha=0.6, linewidth=0.5, color='purple')
ax.plot(unpitch, alpha=0.9, linewidth=0.5, color='red')
ax.plot(flatpitch, alpha=0.9, linewidth=0.5, color='blue')
ax.plot(turnpitch, alpha=0.9, linewidth=0.5, color='green')

ax.set_title('pitch for Segment-Categorized Views')
ax.legend(['not earth', 'segments==0', 'segments>0', 'segments<0'])
Out[9]:
<matplotlib.legend.Legend at 0x7ffbc1cd4e90>
/home/rayg/.conda/envs/shis/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-12 17:36:28.790018. Please add timezone info to timestamps.
  chunks = self.iterencode(o, _one_shot=True)
In [10]:
lat, lon = W['instrumentLatitude'][:], W['instrumentLongitude'][:]

unlat, turnlat, flatlat, callat = np.array(lat), np.array(lat), np.array(lat), np.array(lat)
eview = smp==ord('E')
unlat[(segments!=0) | (lat==0) | ~eview] = np.NAN
turnlat[(segments>=0) | (lat==0) | ~eview] = np.NAN
flatlat[(segments<=0) | (lat==0) | ~eview] = np.NAN
callat[eview | (lon==0)] = np.NAN

unlon, turnlon, flatlon, callon = np.array(lon), np.array(lon), np.array(lon), np.array(lon)
eview = smp==ord('E')
unlon[(segments!=0) | (lon==0) | ~eview] = np.NAN
turnlon[(segments>=0) | (lon==0) | ~eview] = np.NAN
flatlon[(segments<=0) | (lon==0) | ~eview] = np.NAN
callon[eview | (lon==0)] = np.NAN

fig = plt.figure(figsize=(15,15))
ax = fig.add_subplot(111, axisbg='#EEEEEE')
ax.grid(color='white', linestyle='solid')
ax.plot(callon, callat, alpha=0.6, linewidth=0.5, color='purple')
ax.plot(unlon, unlat, alpha=0.9, linewidth=0.5, color='red')
ax.plot(flatlon, flatlat, alpha=0.9, linewidth=0.5, color='blue')
ax.plot(turnlon, turnlat, alpha=0.9, linewidth=0.5, color='green')

ax.set_title('flight track for Segment-Categorized Views')
ax.legend(['not earth', 'segments==0', 'segments>0', 'segments<0'])
Out[10]:
<matplotlib.legend.Legend at 0x7ffbc1beeb10>
/home/rayg/.conda/envs/shis/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-12 17:36:36.782699. Please add timezone info to timestamps.
  chunks = self.iterencode(o, _one_shot=True)
In [11]:
import netCDF4 as nc4
nc = nc4.Dataset('rdr20170411T161346end20170411T220220sdr20170411T224336/dist/goes16_SHIS_20170411_161346_20170411_220220_sdr20170411T224336_rad.nc')
lat, lon, segments, eview = nc.variables['instrumentLatitude'][:], nc.variables['instrumentLongitude'][:], nc.variables['segments'][:], True

/home/rayg/.conda/envs/shis/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-12 17:38:05.556958. Please add timezone info to timestamps.
  chunks = self.iterencode(o, _one_shot=True)
In [12]:
unlat, turnlat, flatlat, callat = np.array(lat), np.array(lat), np.array(lat), np.array(lat)
unlat[(segments!=0) | (lat==0)] = np.NAN
turnlat[(segments>=0) | (lat==0)] = np.NAN
flatlat[(segments<=0) | (lat==0)] = np.NAN

unlon, turnlon, flatlon, callon = np.array(lon), np.array(lon), np.array(lon), np.array(lon)
unlon[(segments!=0) | (lon==0)] = np.NAN
turnlon[(segments>=0) | (lon==0)] = np.NAN
flatlon[(segments<=0) | (lon==0)] = np.NAN

fig = plt.figure(figsize=(15,15))
ax = fig.add_subplot(111, axisbg='#EEEEEE')
ax.grid(color='white', linestyle='solid')
ax.plot(unlon, unlat, alpha=0.9, linewidth=0.5, color='red')
ax.plot(flatlon, flatlat, alpha=0.9, linewidth=0.5, color='blue')
ax.plot(turnlon, turnlat, alpha=0.9, linewidth=0.5, color='green')

ax.set_title('NetCDF flight track for Segment-Categorized Views')
ax.legend(['segments==0', 'segments>0', 'segments<0'])
Out[12]:
<matplotlib.legend.Legend at 0x7ffbba8fcd50>
/home/rayg/.conda/envs/shis/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-12 17:38:19.937935. Please add timezone info to timestamps.
  chunks = self.iterencode(o, _one_shot=True)
In [13]:
' '.join(str(x) for x in sorted(set(segments)))
Out[13]:
'-1 3 4 5 6 7 8 9'
/home/rayg/.conda/envs/shis/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-12 17:38:44.160847. Please add timezone info to timestamps.
  chunks = self.iterencode(o, _one_shot=True)
In [14]:
fig = plt.figure(figsize=(15,15))
ax = fig.add_subplot(111, axisbg='#EEEEEE')
ax.grid(color='white', linestyle='solid')
ax.plot(segments)
Out[14]:
[<matplotlib.lines.Line2D at 0x7ffbbaa00f10>]
/home/rayg/.conda/envs/shis/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-12 17:38:46.817744. Please add timezone info to timestamps.
  chunks = self.iterencode(o, _one_shot=True)
In [15]:
s,e = 6000, 14000

fig = plt.figure(figsize=(15,15))
ax = fig.add_subplot(111, axisbg='#EEEEEE')
ax.grid(color='white', linestyle='solid')

ax.plot(unlon[s:e], unlat[s:e], alpha=0.6, linewidth=10, color='red')
ax.plot(flatlon[s:e], flatlat[s:e], alpha=0.6, linewidth=10, color='blue')
ax.plot(turnlon[s:e], turnlat[s:e], alpha=0.6, linewidth=10, color='green')

fovlat, fovlon = nc['Latitude'][:], nc['Longitude'][:]

funlat, fturnlat, fflatlat, fcallat = np.array(fovlat), np.array(fovlat), np.array(fovlat), np.array(fovlat)
funlat[(segments!=0) | (lat==0)] = np.NAN
fturnlat[(segments>=0) | (lat==0)] = np.NAN
fflatlat[(segments<=0) | (lat==0)] = np.NAN

funlon, fturnlon, fflatlon, fcallon = np.array(fovlon), np.array(fovlon), np.array(fovlon), np.array(fovlon)
funlon[(segments!=0) | (lon==0)] = np.NAN
fturnlon[(segments>=0) | (lon==0)] = np.NAN
fflatlon[(segments<=0) | (lon==0)] = np.NAN

ax.plot(funlon[s:e], funlat[s:e], '.', alpha=0.9, linewidth=0.5, color='red')
ax.plot(fflatlon[s:e], fflatlat[s:e], '.', alpha=0.9, linewidth=0.5, color='blue')
ax.plot(fturnlon[s:e], fturnlat[s:e], '.', alpha=0.9, linewidth=0.5, color='green')

ax.set_title('FOV track for Segment-Categorized Views')
ax.legend(['not earth', 'segments==0', 'segments>0', 'segments<0'])
Out[15]:
<matplotlib.legend.Legend at 0x7ffbc07aded0>
/home/rayg/.conda/envs/shis/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-12 17:38:52.174806. Please add timezone info to timestamps.
  chunks = self.iterencode(o, _one_shot=True)
In [ ]: