From c21c97794fb80954f164b08c1678e6056dd839b6 Mon Sep 17 00:00:00 2001
From: "(no author)" <(no author)@8a9318a1-56ba-4d59-b755-99d26321be01>
Date: Tue, 18 Aug 2009 22:02:33 +0000
Subject: [PATCH] added the ability to define custom display colors in the
config file
git-svn-id: https://svn.ssec.wisc.edu/repos/glance/trunk@56 8a9318a1-56ba-4d59-b755-99d26321be01
---
pyglance/glance/exconfig.py | 10 +++++++---
pyglance/glance/plot.py | 14 ++++++++++----
2 files changed, 17 insertions(+), 7 deletions(-)
diff --git a/pyglance/glance/exconfig.py b/pyglance/glance/exconfig.py
index e4548b2..5286c75 100644
--- a/pyglance/glance/exconfig.py
+++ b/pyglance/glance/exconfig.py
@@ -46,8 +46,6 @@ lat_lon_info['data_filter_function_lon_in_b'] = (insert lambda function here)
lat_lon_info['data_filter_function_lat_in_b'] = (insert lambda function here)
"""
# this value can be used to control how similar the longitude and latitude must be to be considered matching
-# if all of your longitude and latitude do not match under this epsilon, most of the comparison report will
-# not be generated, since the data would not correlate spatially
# Note: this value is only intended to allow you to avoid very small floating point errors that would make glance
# think that your data is disparate, when really it is very close together. If you put a large epsilon in here
# the various comparison plots may contain misleading data
@@ -114,7 +112,7 @@ setOfVariables['Total Totals'] = { # the key of your variable entry wi
# on amount of non-finite data
# note, this setting overrides the default
- 'display_ranges': [13.0, 14.0, 15.0, 20.0, 32.0, 40.0, 54.0, 60.0],
+ 'display_ranges': [13.0, 14.0, 15.0, 20.0, 32.0, 40.0, 54.0, 60.0],
# this array of ranges can be defined in order to control
# a custom display of color ranges in any graphs produced
# for this variable, ranges will fall between the numbers
@@ -132,10 +130,16 @@ setOfVariables['Total Totals'] = { # the key of your variable entry wi
# TODO In the future this array may have the ability to
# let you label your ranges (ie, the space between two
# boundaries) or your boundaries.
+
+ 'display_colors': ('m', 'b', 'c', 'r', 'k', 'y', 'g'),
+ # the colors that should be used to display the ranges
+ # color definition information can be found at
+ # http://matplotlib.sourceforge.net/api/colors_api.html
# data filters can be defined/overridden on a variable by variable basis
# 'data_filter_function_a': (insert lambda function here), # note: will only be applied to file A data
# 'data_filter_function_b': (insert lambda function here) # note: will only be applied to file B data
+
}
setOfVariables['Total Precipitable Water, High'] = {
'variable_name': 'imager_prof_retr_abi_total_precipitable_water_high',
diff --git a/pyglance/glance/plot.py b/pyglance/glance/plot.py
index 74f4f44..6fe5028 100644
--- a/pyglance/glance/plot.py
+++ b/pyglance/glance/plot.py
@@ -191,7 +191,7 @@ def _clean_lon_or_lat_with_mask(lon_or_lat_data, invalid_data_mask):
# set on the existing image
def _create_mapped_figure(data, latitude, longitude, title,
invalidMask=None, colorMap=None, tagData=None,
- dataRanges=None, dataRangeNames=None) :
+ dataRanges=None, dataRangeNames=None, dataRangeColors=None) :
# make a clean version of our lon/lat
latitudeClean = _clean_lon_or_lat_with_mask(latitude, invalidMask)
@@ -222,6 +222,7 @@ def _create_mapped_figure(data, latitude, longitude, title,
dataRanges[0] = dataRanges[0] - offsetToRange
dataRanges[len(dataRanges) - 1] = dataRanges[len(dataRanges) - 1] + offsetToRange
kwargs['levelsToUse'] = dataRanges
+ kwargs['colors'] = dataRangeColors # add in the list of colors (may be None)
# if we've got a color map, pass it to the list of things we want to tell the plotting function
if not (colorMap is None) :
@@ -496,7 +497,10 @@ def plot_and_save_figure_comparison(aData, bData,
dataRanges = variableRunInfo['display_ranges']
dataRangeNames = None
if ('display_range_names' in variableRunInfo) :
- dataRangeNames = variableRunInfo['display_range_names']
+ dataRangeNames = variableRunInfo['display_range_names']
+ dataColors = None
+ if ('display_colors' in variableRunInfo) :
+ dataColors = variableRunInfo['display_colors']
# from this point on, we will be forking to create child processes so we can parallelize our image and
# report generation
@@ -512,7 +516,8 @@ def plot_and_save_figure_comparison(aData, bData,
(variableDisplayName + "\nin File A"),
invalidMask=(~goodInAMask),
dataRanges=dataRanges,
- dataRangeNames=dataRangeNames)),
+ dataRangeNames=dataRangeNames,
+ dataRangeColors=dataColors)),
"\t\tsaving image of " + variableDisplayName + " for file a",
outputPath + "/" + variableName + ".A.png",
outputPath + "/" + variableName + ".A.small.png",
@@ -527,7 +532,8 @@ def plot_and_save_figure_comparison(aData, bData,
(variableDisplayName + "\nin File B"),
invalidMask=(~ goodInBMask),
dataRanges=dataRanges,
- dataRangeNames=dataRangeNames)),
+ dataRangeNames=dataRangeNames,
+ dataRangeColors=dataColors)),
"\t\tsaving image of " + variableDisplayName + " for file b",
outputPath + "/" + variableName + ".B.png",
outputPath + "/" + variableName + ".B.small.png",
--
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