http://www.mediawiki.org/wiki/Special:Code/MediaWiki/89905
Revision: 89905
Author: rfaulk
Date: 2011-06-12 01:51:11 +0000 (Sun, 12 Jun 2011)
Log Message:
-----------
Adjusted height of plots relative to max datapoint
added comments
Modified Paths:
--------------
trunk/fundraiser-statistics/fundraiser-scripts/classes/DataReporting.py
Modified:
trunk/fundraiser-statistics/fundraiser-scripts/classes/DataReporting.py
===================================================================
--- trunk/fundraiser-statistics/fundraiser-scripts/classes/DataReporting.py
2011-06-12 01:49:53 UTC (rev 89904)
+++ trunk/fundraiser-statistics/fundraiser-scripts/classes/DataReporting.py
2011-06-12 01:51:11 UTC (rev 89905)
@@ -23,6 +23,7 @@
import datetime
import MySQLdb
import pylab
+from matplotlib.lines import Line2D
import HTML
import math
@@ -229,8 +230,6 @@
class IntervalReporting(DataReporting):
-
-
"""
Constructor for IntervalReporting
@@ -257,7 +256,7 @@
"""
- <description>
+ Usage instructions for executing a report via the IntervalReporting
class
"""
def usage(self):
@@ -297,9 +296,7 @@
"""
Protected method. Execute reporting query and generate plots.
- INPUT:
-
- RETURN:
+ INPUT: The inputs define the plot arguments
"""
def _gen_plot(self, metrics, times, title, xlabel, ylabel, ranges,
subplot_index, fname, labels):
@@ -313,9 +310,9 @@
count = 0
for key in metrics.keys():
if self._plot_type_ == 'step':
- pylab.step(times[key], metrics[key], line_types[count])
+ pylab.step(times[key], metrics[key], line_types[count],
linewidth=3.0)
elif self._plot_type_ == 'line':
- pylab.plot(times[key][1:], metrics[key][1:], line_types[count])
+ pylab.plot(times[key][1:], metrics[key][1:],
line_types[count], linewidth=3.0)
count = count + 1
""" Set the figure and font size """
@@ -346,6 +343,9 @@
else:
pylab.legend(metrics.keys(),loc=2)
+ # add_line(Line2D([0.5, 0.5], [0, 1], transform=a.transAxes,
linewidth=2, color='b'))
+
+
pylab.xlabel(xlabel)
pylab.ylabel(ylabel)
@@ -404,13 +404,7 @@
<generate state> -> <post processing of state data> -> <generate plot>
INPUT:
- start_time -
- end_time -
- interval -
- query_type -
- metric_name -
- campaign -
- labels -
+ The inputs serve as query arguments
"""
def run(self, start_time, end_time, interval, metric_name, campaign,
labels):
@@ -424,10 +418,10 @@
if len(self._item_keys_) > 0:
self._counts_ = self.select_metric_keys(self._counts_)
self._times_ = self.select_metric_keys(self._times_)
-
+ print self._counts_
""" Convert Times to Integers that indicate relative times AND
normalize the intervals in case any are missing """
for key in self._times_.keys():
- self._times_[key] = TP.normalize_timestamps(self._times_[key],
False, 2)
+ self._times_[key] = TP.normalize_timestamps(self._times_[key],
False, 3)
self._times_[key], self._counts_[key] =
TP.normalize_intervals(self._times_[key], self._counts_[key], interval)
""" Normalize times """
@@ -461,7 +455,7 @@
ranges.append(0.0)
ranges.append(times_max * 1.1)
ranges.append(0.0)
- ranges.append(metrics_max * 1.1)
+ ranges.append(metrics_max * 1.5)
""" Generate plots given data """
self._gen_plot(self._counts_, self._times_, title, xlabel, ylabel,
ranges, subplot_index, fname, labels)
@@ -576,13 +570,11 @@
def _gen_box_plot(self, data, title, ylabel, subplot_index, labels, fname):
- print data
- print labels
pylab.subplot(subplot_index)
pylab.figure(num=None,figsize=[26,14])
- bp = pylab.boxplot(data)
+ bp = pylab.boxplot(data, sym='b+')
pylab.xticks(range(1, len(labels) + 1), labels)
""" Set the figure and font size """
@@ -652,7 +644,7 @@
winner = labels[0]
else:
winner = labels[1]
-
+
win_str = '\nThe winner "' + winner + '" had a %.2f%s increase.'
win_str = win_str % (percent_increase, '%')
@@ -741,7 +733,7 @@
max_mean = max(max(means_1),max(means_2))
max_sd = max(max(std_devs_1),max(std_devs_2))
max_y = float(max_mean) + float(max_sd)
- max_y = max_y + 0.1 * max_y
+ max_y = max_y + 0.5 * max_y
max_x = max(times_indices) + min(times_indices)
ranges = [0.0, max_x, 0, max_y]
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