In [24]:

    

df = pd.read_csv('/home/klay6683/IUVS-ITF-SW/doc/MAVEN RS Telemetry Definitions.csv')


    

In [25]:

    

df.columns = [i.lower().strip() for i in df.columns]


    

In [26]:

    

df.columns = ['_'.join(i.split()) for i in df.columns]


    

In [27]:

    

df.head()


    

    
Out[27]:






  

    

      

      
x
      
item_name
      
unnamed:_2
      
app
      
measurement_description
      
fsw_name
      
#_type
      
location
      
unnamed:_8
      
discussion
      
unnamed:_10
      
units
      
full_range
      
conversion
      
monitoring_limits
      
display
      
unnamed:_16
      
source
    
  
  

    

      
0
      
X
      
EL
      
Mnemonic
      
ID
      
NaN
      
NaN
      
NaN
      
Packet
      
(/byte:bit)
      
NaN
      
NaN
      
NaN
      
NaN
      
(Value/State[/Alarm])
      
(RL   YL   YH   RH) or DL
      
Fmt
      
Page
      
NaN
    
    

      
1
      
X
      
NaN
      
Software Status packet 0x01
      
NaN
      
NaN
      
NaN
      
NaN
      
NaN
      
NaN
      
NaN
      
NaN
      
NaN
      
NaN
      
NaN
      
NaN
      
NaN
      
NaN
      
NaN
    
    

      
2
      
NaN
      
RSP
      
VER01
      
0x01
      
APID x01 CCSDS version
      
pktType
      
U3
      
sw_stat_pkt
      
/000:0-2
      
NaN
      
NaN
      
DN
      
0
      
NaN
      
NaN
      
NaN
      
NaN
      
RSP
    
    

      
3
      
NaN
      
RSP
      
TYPE01
      
0x01
      
APID x01 CCSDS type
      
pktType
      
D1
      
sw_stat_pkt
      
/000:3
      
NaN
      
NaN
      
DN
      
0
      
0/TLM 1/CMD
      
NaN
      
NaN
      
NaN
      
RSP
    
    

      
4
      
NaN
      
RSP
      
SCFLAG01
      
0x01
      
APID x01 CCSDS secondary header flag
      
pktType
      
D1
      
sw_stat_pkt
      
/000:4
      
NaN
      
NaN
      
DN
      
1
      
0/NO_HDR 1/HDR
      
NaN
      
NaN
      
NaN
      
RSP
    
  

In [28]:

    

df.item_name.value_counts()


    

    
Out[28]:





RSP     573
RSP       4
EL        1
Name: item_name, dtype: int64

In [51]:

    

s = df.measurement_description.dropna().str.contains('emperature')


    

In [42]:

    

ind = s[s==True].index


    

In [44]:

    

df = df.loc[ind]


    

In [48]:

    

df = df.drop('x',axis=1)


    

In [52]:

    

df.measurement_description


    

    
Out[52]:





330             Science Detector Temperature
506            FUV Detector Chip Temperature
511            MUV Detector Chip Temperature
516                  Power Board Temperature
517                  Power Board Temperature
518              Processor Board Temperature
519                 FUV Detector Temperature
520              FUV Intensifier Temperature
521                 MUV Detector Temperature
522              MUV Intensifier Temperature
523                Zone 1 Heater Temperature
524                Zone 2 Heater Temperature
525                  Op 1 Heater Temperature
526                  Op 2 Heater Temperature
527                       IUVS Temperature 1
528                       IUVS Temperature 2
529                       IUVS Temperature 3
530                       IUVS Temperature 4
531                       IUVS Temperature 5
532                Grating Motor Temperature
533            Scan Mirror Motor Temperature
534    High Voltage Power Supply Temperature
Name: measurement_description, dtype: object

In [58]:

    

myiter = io.l1a_filenames("uvdark", env='production')


    

    




/maven_iuvs/production/products/level1a

In [70]:

    

myiter = io.l1a_filenames("analog", env='production')


    

    




/maven_iuvs/production/products/level1a

In [71]:

    

fnames = list(myiter)
len(fnames)


    

    
Out[71]:





0

In [60]:

    

fname = fnames[0]


    

In [61]:

    

fname


    

    
Out[61]:





'/maven_iuvs/production/products/level1a/mvn_iuv_l1a_early-orbit00003-mode001-fuvdark_20140925T121939_v02_r01.fits.gz'

In [62]:

    

l1a = io.L1AReader(fname)


    

In [66]:

    

l1a.Engineering.columns.values


    

    
Out[66]:





array(['SCI_PKT_CKSUM', 'SCI_ERR_FLAGS', 'XUV', 'LENGTH', 'IMAGE_NUMBER',
       'AVERAGE', 'CHECKSUM', 'START_TIME', 'START_TIME__SUB', 'CADENCE',
       'NUMBER', 'INT_TIME', 'MIRROR_POS', 'STEP_NUM', 'STEP_SIZE',
       'STEP_INT', 'BIN_SHIFT', 'OBS_ID', 'FUV_BAD_PIXEL_MASK',
       'MUV_BAD_PIXEL_MASK', 'DATA_COMPRESSION', 'TEST_PATTERN',
       'ON_CHIP_WINDOWING', 'BIN_TYPE', 'SCAN_MODE', 'MODE', 'TIME_FLAG',
       'BIN_SHIFT_DIR', 'SHUTTER_ON', 'SHUTTER_OFF', 'SHUTTER_NUM',
       'SET_TOTAL', 'BIN_X_ROW', 'BIN_Y_ROW', 'MCP_GAIN', 'SCI_SEG_TOTAL',
       'SCI_SEG_LENGTH', 'SCI_SEG_NUM'], dtype=object)

In [67]:

    

l1a.Integration.columns.values


    

    
Out[67]:





array(['TIMESTAMP', 'ET', 'UTC', 'MIRROR_DN', 'MIRROR_DEG', 'FOV_DEG',
       'LYA_CENTROID', 'CASE_TEMP', 'DET_TEMP'], dtype=object)

In [82]:

    

l1a.Integration.columns


    

    
Out[82]:





Index(['TIMESTAMP', 'ET', 'UTC', 'MIRROR_DN', 'MIRROR_DEG', 'FOV_DEG',
       'LYA_CENTROID', 'CASE_TEMP', 'DET_TEMP'],
      dtype='object')

In [ ]: