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plotAgHistory.py
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plotAgHistory.py
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#!/usr/local/python/bin/python
"""
Script to plot the AG residuals history
Mainly used for plots for posters etc
"""
import pymysql
import numpy as np
from matplotlib import (
cycler,
rc
)
import matplotlib.pyplot as plt
# pylint: disable=invalid-name
# pylint: disable=redefined-outer-name
camera_id = 802
night1 = '2016-03-01'
night2 = '2016-03-07'
# DATA GLOBALS
DATA_LINE_COLOR = 'black'
DATA_LINE_STYLE = '-'
DATA_LINE_WIDTH = 0.5
MODEL_LINE_COLOR = 'red'
MODEL_LINE_STYLE = '-'
MODEL_LINE_WIDTH = 0.7
# AXES GLOBALS
AXES_LINE_WIDTH = 0.5
AXES_MAJOR_TICK_LENGTH = 4
AXES_MINOR_TICK_LENGTH = AXES_MAJOR_TICK_LENGTH/2.
AXES_XTICK_DIRECTION = 'in'
AXES_YTICK_DIRECTION = 'in'
# FIGURE GLOBALS
ONE_COL_WIDTH = 3.545
TWO_COL_WIDTH = 7.09
DPI = 800
def general():
"""
General settings for all plot types. Call this first,
then call any cascading style required
"""
rc('font', family='Times New Roman', size=5)
rc('text', color='black', usetex=False)
rc('figure', dpi=DPI)
rc('axes',
xmargin=0.05,
ymargin=0.05,
linewidth=AXES_LINE_WIDTH,
labelsize=7,
prop_cycle=cycler('color', ['black']))
rc('axes.formatter', limits=(-4, 4))
rc('axes.spines', left=True, right=True)
rc('xtick',
labelsize=7,
direction=AXES_XTICK_DIRECTION)
rc('xtick.major',
size=AXES_MAJOR_TICK_LENGTH,
width=AXES_LINE_WIDTH)
rc('xtick.minor',
visible=True,
size=AXES_MINOR_TICK_LENGTH,
width=AXES_LINE_WIDTH)
rc('ytick',
labelsize=7,
direction=AXES_YTICK_DIRECTION)
rc('ytick.major',
size=AXES_MAJOR_TICK_LENGTH,
width=AXES_LINE_WIDTH)
rc('ytick.minor',
visible=True,
size=AXES_MINOR_TICK_LENGTH,
width=AXES_LINE_WIDTH)
def one_column():
"""
Two-column-width plot settings
"""
rc('figure', figsize=(ONE_COL_WIDTH, (ONE_COL_WIDTH/2)))
def two_column():
"""
Two-column-width plot settings
"""
rc('figure', figsize=(TWO_COL_WIDTH, (TWO_COL_WIDTH/2.)*0.66))
def getAgStatistics(camera_id, night1, night2):
"""
Grab the AG data from the database
"""
with pymysql.connect(host='10.2.5.32', db='ngts_ops') as cur:
qry = """
SELECT
x_error, y_error, x_delta,
y_delta, night
FROM autoguider_log as agl
INNER JOIN raw_image_list as ril
ON agl.image_id=ril.image_id
WHERE ril.camera_id = %s
AND ril.night >= %s
AND ril.night <= %s
"""
qry_args = (camera_id, night1, night2)
print(qry)
print(qry_args)
cur.execute(qry, qry_args)
results = cur.fetchall()
x_error = np.empty(len(results))
y_error = np.empty(len(results))
x_delta = np.empty(len(results))
y_delta = np.empty(len(results))
night = []
for i, row in enumerate(results):
x_error[i] = round(float(row[0])/5., 2)
y_error[i] = round(float(row[1])/5., 2)
x_delta[i] = round(float(row[2])/5., 2)
y_delta[i] = round(float(row[3])/5., 2)
night.append(row[4])
# find night boundaries
boundaries, night_str = [], []
for i in range(0, len(night)-1):
if night[i+1] != night[i]:
boundaries.append(i+1)
night_str.append(night[i].strftime("%d"))
night_str.append('07')
boundaries.append(len(night))
return x_error, y_error, x_delta, y_delta, \
night, np.array(boundaries), night_str
if __name__ == "__main__":
general()
one_column()
# grab the data, scale the number on the x axis
scaling_factor = 1000.
x_error, y_error, x_delta, y_delta, night, \
boundaries, night_str = getAgStatistics(camera_id, night1, night2)
ind = np.arange(len(x_error))/1000.
boundaries = boundaries/1000.
# set up the plots
fig, ax = plt.subplots(2, 1, sharex=True)
# plot the frame to frame error
ax[0].plot(ind, x_error, 'r.', ind, y_error, 'b.', ms=0.25, marker='.')
ax[0].set_ylabel('Error (pix)')
ax[0].legend(('X RMS: %.2f pix' % (np.std(x_error)),
'Y RMS: %.2f pix' % (np.std(y_error))),
loc='lower right', markerscale=3,
fontsize=5, scatterpoints=1,
facecolor='white', edgecolor='black')
ax[0].set_ylim(-1.1, 1.1)
ax[0].set_xlim(0, max(ind))
ax[0].yaxis.set_ticks_position('both')
ax[0].xaxis.set_ticks_position('both')
# draw night boundaries
for k in range(0, len(boundaries)):
ax[0].axvline(boundaries[k], lw=0.5, ls='dashed', color='k')
ax[0].text(boundaries[k]-1.55, 0.5, night_str[k], fontsize=5)
# plot the cumulative error
ax[1].plot(ind, x_delta, 'r.', ind, y_delta, 'b.', ms=0.25, marker='.')
ax[1].set_ylabel('Correction (pix)')
for k in range(0, len(boundaries)):
ax[1].axvline(boundaries[k], lw=0.5, ls='dashed', color='k')
ax[1].text(boundaries[k]-1.55, 2, night_str[k], fontsize=5)
ax[1].set_ylim(-16, 6)
ax[1].set_xlim(0, max(ind))
ax[1].yaxis.set_ticks_position('both')
ax[1].xaxis.set_ticks_position('both')
ax[1].set_xlabel(r'Image number ($\times10^{3}$)')
plt.subplots_adjust(left=0.13, right=0.98, top=0.97,
bottom=0.19, hspace=0.05)
fig.savefig('AgResiduals_802_March2016.png')