Index: ct/tools/pyscripts/pyfact/plot_temps.py
===================================================================
--- /fact/tools/pyscripts/pyfact/plot_temps.py	(revision 14428)
+++ 	(revision )
@@ -1,99 +1,0 @@
-#!/usr/bin/python -tt
-
-##############################################
-# based on plot_trigger_rate.py by QW and TPK
-##############################################
-
-from array import array
-import os
-import re
-import sys
-import numpy as np
-import time
-
-from pyfact import SlowData
-
-#from ROOT import TCanvas, TGraph, TGraphErrors, TH2F
-#from ROOT import gStyle
-
-import matplotlib.pyplot as plt
-import matplotlib.dates
-
-filelist = []
-if len(sys.argv) > 1:
-    base_path = sys.argv[1]
-else:
-    print 'Usage:', sys.argv[0], '/your/search/path'
-
-for base,subdirs,files in os.walk(base_path):
-    for filename in files:
-        #include only run files
-        regex = re.search(r'\d\d\d\d\d\d\d\d\.FSC_CONTROL_TEMPERATURE.fits',filename)
-        #include run files and also the nightly file
-        #regex = re.search(r'FTM_CONTROL_TRIGGER_RATES',filename)
-        if regex:
-            filelist.append(os.path.join(base,filename))
-
-
-plotlist = ['T_aux', 'T_back', 'T_crate', 'T_eth', 'T_ps', 'T_sens']
-plotfmts = ['.:g',   '.:k',    '.:r',     '.:y',   '.:b',  '.:m']
-per_name = []
-
-for filename in filelist:
-
-    print filename
-
-    f = SlowData(filename)
-#     'columns': {'QoS': (1L, 4L, 'J', ''),
-#            'T_aux': (4L, 4L, 'E', 'deg'),
-#            'T_back': (4L, 4L, 'E', 'deg'),
-#            'T_crate': (8L, 4L, 'E', 'deg'),
-#            'T_eth': (4L, 4L, 'E', 'deg'),
-#            'T_ps': (8L, 4L, 'E', 'deg'),
-#            'T_sens': (31L, 4L, 'E', 'deg'),
-#            'Time': (1L, 8L, 'D', 'MJD'),
-#            't': (1L, 4L, 'E', 's')},
-
-    f.register("all")
-    
-    f.stack()
-    for row in f:
-        pass
-
-
-    for name in plotlist:
-        per_name.append(f.columns[name][0])
-
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    plt.hold(True)
-    for i,name in enumerate(plotlist):
-        for number in range(per_name[i]):
-            print name, number
-            Time = f.stacked_cols['Time']
-            data = f.stacked_cols[name][:,number]
-            med = np.median(Time)
-            # get rid of Times of the previous day.
-            Time_today = Time[np.where( Time>med-0.25 )[0]]
-            data_today = data[np.where( Time>med-0.25)[0]]
-            
-            ax.plot_date( Time_today, data_today, fmt=plotfmts[i])
-    today_str = time.strftime('%d.%m.'  ,time.gmtime(Time_today[0]*24*3600))
-    print today_str
-    plt.title('T_ps:blue  T_eth:yellow  T_aux:green  T_crate:red  T_back:black  T_sens:magenta \n'+today_str)
-    ax.xaxis.set_major_locator(
-        matplotlib.dates.HourLocator(byhour=range(24), interval=1)
-    )
-    ax.xaxis.set_major_formatter(
-        matplotlib.dates.DateFormatter('%Hh')
-    )
-
-    plt.ylim(12,41)
-    
-    if len(sys.argv) > 2:
-        plt.savefig(sys.argv[2])
-        print 'plot saved to', sys.argv[2]
-    else:
-        print "WARNING:"
-        print "plot was not saved..."
-        print "please type: plt.savefig('<filename.png>') or so ... to save it"
