def __init__(self, path, debug = False):
csv_file.__init__(self, path = path, debug = debug, analyse = True, \
field_delimiter = ',', text_delimiter = '')
if debug:
if self.cols != 2:
print "\t*** Warning, the file does not contain exactly 2 data \
columns, it may not be a valid DPO2000 csv file."
model = self.getrow(0)[:2]
if (model[0] != 'Model') or (model[1][:4] != 'DPO2'):
print "\t*** Warning, row 0 of the file does not match the \
expected model number description." + linesep + \
"\tExpecting 'Model':'DPO2', got '" + \
model[0] + "':'" + model[1][:4] + "' instead."
if self.data_start != 15:
print "\t*** Warning, Data stream is thought to start at row index" + \
str(self.data_start) + ", instead of the expected 15."
# File headers should be understood by drv_csv already
metainfo = self.metainfo
# Convert the ASCII representation into numbers
format = []
format.append('Horizontal Scale')
format.append('Vertical Scale')
format.append('Sample Interval')
format.append('Record Length')
format.append('Filter Frequency')
format.append('Vertical Offset')
format.append('Probe Attenuation')
csv_file.update_metainfo(self, format, float)
# Although some of the numbers are saved in float representation they really
# ough to be int instead.
#
# Converting a float ASCII repr directly will caused an error.
# >>> int('2.500000e+03')
# Traceback (most recent call last):
# File "<stdin>", line 1, in ?
# ValueError: invalid literal for int(): 2.500000e+03
#
# Have to convert to float first:
# >>> int(float('2.500000e+03'))
# 2500
#
format_cust = []
format_cust.append('Record Length')
format_cust.append('Probe Attenuation')
csv_file.update_metainfo(self, format_cust, int)
if debug:
if metainfo['Record Length'] != self.rows - self.data_start:
print "\t*** Warning, Record Length description (" + str(metainfo['Record Length']) \
+ ") do not match the number of rows counted (" + str(self.rows - self.data_start) \
+ ") in this file. This file maybe corrupted"
self.metainfo = metainfo
return
def __init__(self, path, debug = False):
csv_file.__init__(self, path = path, debug = debug, analyse = False, \
field_delimiter = ',', text_delimiter = '')
if debug:
if self.cols != 6:
print "\t*** Warning, the file does not contain exactly 6 data \
columns, it may not be a valid TDS2000 csv file."
model = self.getrow(15)[:2]
if (model[0] != 'Model Number') or (model[1][:4] != 'TDS2'):
print "\t*** Warning, row 15 of the file does not match the \
expected model number description." + linesep + \
"\tExpecting 'Model':'DPO2', got '" + \
model[0] + "':'" + model[1][:4] + "' instead."
# Create the metainfo
metainfo = {}
info_pair = zip(self.getcolumn(0), self.getcolumn(1))
info_pair.sort(key=itemgetter(0))
for field, value in groupby(info_pair, key=itemgetter(0)):
val = map(itemgetter(1), value)[0]
if field is '':
if val is '':
# Blank lines
continue
# Orphan values
metainfo['Unknown'] = val
metainfo[field] = val
# Update the object's metainfo
self.metainfo.update(metainfo)
# Convert the ASCII representation into numbers
format = []
format.append('Horizontal Scale')
format.append('Vertical Scale')
format.append('Sample Interval')
format.append('Record Length')
format.append('Trigger Point')
format.append('Yzero')
format.append('Vertical Offset')
format.append('Probe Atten')
csv_file.update_metainfo(self, format, float)
# Although some of the numbers are saved in float representation they really
# ough to be int instead.
#
# Converting a float ASCII repr directly will caused an error.
# >>> int('2.500000e+03')
# Traceback (most recent call last):
# File "<stdin>", line 1, in ?
# ValueError: invalid literal for int(): 2.500000e+03
#
# Have to convert to float first:
# >>> int(float('2.500000e+03'))
# 2500
#
format_cust = []
format_cust.append('Record Length')
format_cust.append('Trigger Point')
csv_file.update_metainfo(self, format_cust, int)
if debug:
if self.metainfo['Record Length'] != self.rows:
print "\t*** Warning, Record Length description (" + str(self.metainfo['Record Length']) \
+ ") do not match the number of rows counted (" + str(self.rows) \
+ ") in this file. This file maybe corrupted"
return
