def load_ftir_file(self):
persist = PersistentStorage()
try:
last_path_used = persist.get_value("ftir_spectra_dir")
except KeyError:
last_path_used = ""
#get filename to open
spectrum_file = wx.FileSelector("Choose spectrum file to open",
default_path=last_path_used)
if spectrum_file == "":
return None
persist.set_value("ftir_spectra_dir", os.path.dirname(spectrum_file))
reader = csv.reader(open(spectrum_file, "rb"), dialect="excel")
wavenumber = []
absorbance = []
for line in reader:
wavenumber.append(float(line[0]))
absorbance.append(float(line[1]))
try:
return wavenumber, absorbance, spectrum_file
#TODO see return above
except Exception,e:
print e.args
wx.MessageBox("Unable to load spectrum file \'%s\'. "
"Unrecognised file format."%spectrum_file,
"AvoPlot", wx.ICON_ERROR)
return None
def load_file(self):
persist = PersistentStorage()
try:
last_path_used = persist.get_value("fit_spectra_dir")
except KeyError:
last_path_used = ""
#get filename to open
spectrum_file = wx.FileSelector("Choose spectrum file to open",
default_path=last_path_used)
if spectrum_file == "":
return None, None
persist.set_value("fit_spectra_dir", os.path.dirname(spectrum_file))
with open(spectrum_file, 'rU') as csvfile:
reader = csv.reader(csvfile, delimiter='\t')
#reader = csv.reader(open(spectrum_file, "rU"), dialect=csv.excel)
col_data = []
count = 0
while count < 29:
next(reader)
count += 1
#Skip the first 29 lines, which are header
col_headers = next(reader)
ncols = len(col_headers)
for i in range(ncols):
col_data.append(([float(x[i]) for x in reader]))
csvfile.seek(0)
count = 0
while count < 30:
next(reader)
count += 1
#now col_data is a list of lists of column data
#Make col_data accessible to the rest of the class without needing to call the load_uvvis_file method
self.col_data = col_data
try:
return col_data, spectrum_file, col_headers
except Exception, e:
print e.args
wx.MessageBox(
"Unable to load spectrum file \'%s\'. "
"Unrecognised file format." % spectrum_file, "AvoPlot",
wx.ICON_ERROR)
return None
def load_file(self):
persist = PersistentStorage()
try:
last_path_used = persist.get_value("fit_spectra_dir")
except KeyError:
last_path_used = ""
#get filename to open
spectrum_file = wx.FileSelector("Choose spectrum file to open",
default_path=last_path_used)
if spectrum_file == "":
return None, None
persist.set_value("fit_spectra_dir", os.path.dirname(spectrum_file))
with open(spectrum_file, 'rU') as csvfile:
reader = csv.reader(csvfile, delimiter='\t')
#reader = csv.reader(open(spectrum_file, "rU"), dialect=csv.excel)
col_data = []
count = 0
while count<29:
next(reader)
count += 1
#Skip the first 29 lines, which are header
col_headers = next(reader)
ncols = len(col_headers)
for i in range(ncols):
col_data.append(([float(x[i]) for x in reader]))
csvfile.seek(0)
count = 0
while count<30:
next(reader)
count += 1
#now col_data is a list of lists of column data
#Make col_data accessible to the rest of the class without needing to call the load_uvvis_file method
self.col_data = col_data
try:
return col_data, spectrum_file, col_headers
except Exception,e:
print e.args
wx.MessageBox("Unable to load spectrum file \'%s\'. "
"Unrecognised file format."%spectrum_file,
"AvoPlot", wx.ICON_ERROR)
return None
def export(self):
"""
Exports the selected data series. Called when user right clicks on the data series (see nav_panel.py).
"""
persistant_storage = PersistentStorage()
try:
last_path_used = persistant_storage.get_value(
"series_export_last_dir_used")
except KeyError:
last_path_used = ""
export_dialog = wx.FileDialog(None,
message="Export data series as...",
defaultDir=last_path_used,
defaultFile="AvoPlot Series.txt",
style=wx.SAVE | wx.FD_OVERWRITE_PROMPT,
wildcard="TXT files (*.txt)|*.txt")
if export_dialog.ShowModal() == wx.ID_OK:
path = export_dialog.GetPath()
persistant_storage.set_value("series_export_last_dir_used",
os.path.dirname(path))
xdata, ydata = self.get_data()
with open(path, 'w') as fp:
if isinstance(xdata[0], datetime):
if isinstance(ydata[0], datetime):
for i in range(len(xdata)):
fp.write("%s\t%s\n" %
(str(xdata[i]), str(ydata[i])))
else:
for i in range(len(xdata)):
fp.write("%s\t%f\n" % (str(xdata[i]), ydata[i]))
else:
if isinstance(ydata[0], datetime):
for i in range(len(xdata)):
fp.write("%f\t%s\n" % (xdata[i], str(ydata[i])))
else:
for i in range(len(xdata)):
fp.write("%f\t%f\n" % (xdata[i], ydata[i]))
export_dialog.Destroy()
def export(self):
"""
Exports the selected data series. Called when user right clicks on the data series (see nav_panel.py).
"""
persistant_storage = PersistentStorage()
try:
last_path_used = persistant_storage.get_value("series_export_last_dir_used")
except KeyError:
last_path_used = ""
export_dialog = wx.FileDialog(None, message="Export data series as...",
defaultDir=last_path_used, defaultFile="AvoPlot Series.txt",
style=wx.SAVE|wx.FD_OVERWRITE_PROMPT, wildcard = "TXT files (*.txt)|*.txt")
if export_dialog.ShowModal() == wx.ID_OK:
path = export_dialog.GetPath()
persistant_storage.set_value("series_export_last_dir_used", os.path.dirname(path))
xdata, ydata = self.get_data()
with open(path, 'w') as fp:
if isinstance(xdata[0], datetime):
if isinstance(ydata[0], datetime):
for i in range(len(xdata)):
fp.write("%s\t%s\n" %(str(xdata[i]), str(ydata[i])))
else:
for i in range(len(xdata)):
fp.write("%s\t%f\n" %(str(xdata[i]), ydata[i]))
else:
if isinstance(ydata[0], datetime):
for i in range(len(xdata)):
fp.write("%f\t%s\n" %(xdata[i], str(ydata[i])))
else:
for i in range(len(xdata)):
fp.write("%f\t%f\n" %(xdata[i], ydata[i]))
export_dialog.Destroy()
def get_data_series(self):
persistant_storage = PersistentStorage()
try:
last_path_used = persistant_storage.get_value("fromfile_last_dir_used")
except KeyError:
last_path_used = ""
#get filename to open
file_to_open = wx.FileSelector("Choose file to open", default_path=last_path_used)
if file_to_open == "":
return
persistant_storage.set_value("fromfile_last_dir_used", os.path.dirname(file_to_open))
wx.BeginBusyCursor()
try:
contents = loader.load_file(file_to_open)
series_select_dialog = TxtFileDataSeriesSelectFrame(self.get_parent(), contents)
finally:
wx.EndBusyCursor()
if series_select_dialog.ShowModal() == wx.ID_OK:
return series_select_dialog.get_series()
def load_uvvis_file(self):
persist = PersistentStorage()
try:
last_path_used = persist.get_value("uvvis_spectra_dir")
except KeyError:
last_path_used = ""
# get filename to open
spectrum_file = wx.FileSelector("Choose spectrum file to open", default_path=last_path_used)
if spectrum_file == "":
return None, None
persist.set_value("uvvis_spectra_dir", os.path.dirname(spectrum_file))
with open(spectrum_file, "rU") as csvfile:
dialect = csv.Sniffer().sniff(csvfile.read(1024))
csvfile.seek(0)
reader = csv.reader(csvfile, dialect)
# reader = csv.reader(open(spectrum_file, "rU"), dialect=csv.excel)
col_data = []
col_name = []
col_name_and_data = []
next(reader)
next(reader)
next(reader)
next(reader)
# Skip the first 4 lines, which are header
ncols = len(next(reader))
# This reads the 5th line, assigns its length to ncols & moves to the 6th line.
for i in range(ncols):
col_data.append(([float(x[i]) for x in reader]))
csvfile.seek(0)
next(reader)
next(reader)
next(reader)
next(reader)
next(reader)
# now col_data is a list of lists of column data
# TODO - NAME EACH SUBPLOT WITH ITS COLUMN HEADING
for i in range(ncols):
csvfile.seek(0)
next(reader)
next(reader)
col_name_and_data.append(([str(x[i]) for x in reader]))
col_name.append(col_name_and_data[i][0])
col_name.pop(0)
# Make col_data and col_name accessible to the rest of the class without needing to call the load_uvvis_file method
self.col_data = col_data
self.col_name = col_name
try:
return col_data, col_name, spectrum_file
except Exception, e:
print e.args
wx.MessageBox(
"Unable to load spectrum file '%s'. " "Unrecognised file format." % spectrum_file,
"AvoPlot",
wx.ICON_ERROR,
)
return None
def load_uvvis_file(self):
persist = PersistentStorage()
try:
last_path_used = persist.get_value("uvvis_spectra_dir")
except KeyError:
last_path_used = ""
#get filename to open
spectrum_file = wx.FileSelector("Choose spectrum file to open",
default_path=last_path_used)
if spectrum_file == "":
return None, None
persist.set_value("uvvis_spectra_dir", os.path.dirname(spectrum_file))
with open(spectrum_file, 'rU') as csvfile:
dialect = csv.Sniffer().sniff(csvfile.read(1024))
csvfile.seek(0)
reader = csv.reader(csvfile, dialect)
#reader = csv.reader(open(spectrum_file, "rU"), dialect=csv.excel)
col_data = []
col_name = []
col_name_and_data = []
next(reader)
next(reader)
next(reader)
next(reader)
#Skip the first 4 lines, which are header
ncols = len(next(reader))
#This reads the 5th line, assigns its length to ncols & moves to the 6th line.
for i in range(ncols):
col_data.append(([float(x[i]) for x in reader]))
csvfile.seek(0)
next(reader)
next(reader)
next(reader)
next(reader)
next(reader)
#now col_data is a list of lists of column data
#TODO - NAME EACH SUBPLOT WITH ITS COLUMN HEADING
for i in range(ncols):
csvfile.seek(0)
next(reader)
next(reader)
col_name_and_data.append(([str(x[i]) for x in reader]))
col_name.append(col_name_and_data[i][0])
col_name.pop(0)
#Make col_data and col_name accessible to the rest of the class without needing to call the load_uvvis_file method
self.col_data = col_data
self.col_name = col_name
try:
return col_data, col_name, spectrum_file
except Exception,e:
print e.args
wx.MessageBox("Unable to load spectrum file \'%s\'. "
"Unrecognised file format."%spectrum_file,
"AvoPlot", wx.ICON_ERROR)
return None
