class Importer(dataio.Importer):
extensions = ['sif']
author = "Niklas Volbers"
blurb = "SloppyPlot Internal Format"
filemode = 'b'
column_props = pList(types=dict)
def read_table_from_stream(self, fd):
raise RuntimeError("Please call 'read_table_from_file'.")
def read_table_from_file(self, fd):
if not isinstance(fd, basestring):
raise RuntimeError("You must supply a filename.")
nc = CDF(fd)
# global attributes
#attr = nc.attributes(full=1) # unused
dims = nc.dimensions(full=1)
ncols = len(nc.variables())
# create new table according to dimension information
self.table = Table(nrows=0, ncols=ncols)
# vars => columns
j = 0
for column in self.table.get_columns():
v = nc.var(j)
column.data = array(v[:])
# Read attributes from netCDF file. This _should_ only
# be the key right now.
attributes = v.attributes(full=1)
for k,v in attributes.iteritems():
column.set_value(k, v[0])
# Set properties which can be passed via 'column_props'.
for k,v in self.column_props[j].iteritems():
column.set_value(k,v)
j += 1
nc.close()
self.table.update_cols()
self.table.update_rows()
return self.table
class Importer(dataio.Importer):
extensions = ['sif']
author = "Niklas Volbers"
blurb = "SloppyPlot Internal Format"
filemode = 'b'
def read_table_from_stream(self, fd):
raise RuntimeError("Please call 'read_table_from_file'.")
def read_table_from_file(self, fd):
if not isinstance(fd, basestring):
raise RuntimeError("You must supply a filename.")
nc = CDF(fd)
# global attributes
#attr = nc.attributes(full=1) # unused
dims = nc.dimensions(full=1)
ncols = len(nc.variables())
# create new table according to dimension information
self.table = Table(rowcount=0, colcount=ncols)
# vars => columns
j = 0
for column in self.table.get_columns():
v = nc.var(j)
column.data = array(v[:])
attributes = v.attributes(full=1)
for k,v in attributes.iteritems():
column.set_value(k, v[0])
j += 1
nc.close()
self.table.update_cols()
self.table.update_rows()
return self.table
