try:
reader = DatParser(params.filename)
return (
result.format(
count=sum(
1 for channel in reader.channels
if channel.enabled),
names=','.join(
channel.name for channel in reader.channels
if channel.enabled),
x_size=reader.x_size,
y_size=reader.y_size,
comments=reader.comments,
),
True
)
except IOError as exc:
return ('I/O error when opening file: {}'.format(exc), False)
except Error as exc:
return ('File does not appear to be a valid DAT file: {}'.format(exc), False)
def doImport(self, params):
reader = DatParser(params.filename)
return [
ImportDataset2D(channel.name, channel.data)
for channel in reader.channels
]
importpluginregistry.append(ImportPluginDat)
reader = RasParser(params.filename,
params.field_results.get('channels'))
return (
result.format(
count=sum(
1 for channel in reader.channels
if channel.enabled),
names=','.join(
channel.name for channel in reader.channels
if channel.enabled),
x_size=reader.x_size,
y_size=reader.y_size,
comments=reader.comments),
True
)
except IOError as exc:
return ('I/O error when opening file: {}'.format(exc), False)
except Error as exc:
return ('File does not appear to be a valid RAS file: {}'.format(exc), False)
def doImport(self, params):
reader = RasParser(params.filename,
params.field_results.get('channels'))
return [
ImportDataset2D(channel.name, channel.data)
for channel in reader.channels
if channel.enabled
]
importpluginregistry.append(ImportPluginRas)
"""
try:
reader = RasParser(params.filename,
params.field_results.get('channels'))
return (result.format(count=sum(1 for channel in reader.channels
if channel.enabled),
names=','.join(channel.name
for channel in reader.channels
if channel.enabled),
x_size=reader.x_size,
y_size=reader.y_size,
comments=reader.comments), True)
except IOError as exc:
return ('I/O error when opening file: {}'.format(exc), False)
except Error as exc:
return (
'File does not appear to be a valid RAS file: {}'.format(exc),
False)
def doImport(self, params):
reader = RasParser(params.filename,
params.field_results.get('channels'))
return [
ImportDataset2D(channel.name, channel.data)
for channel in reader.channels if channel.enabled
]
importpluginregistry.append(ImportPluginRas)
data = [row for row in cursor]
# Transpose the data from a list of row-tuples to a list of columns
data = [
[row[i] for row in data]
for i, col in enumerate(cursor.description)]
# Figure out the dataset name and type for each column
names = sanitize_names(col[0] for col in cursor.description)
classes = [
ImportDatasetText if any(isinstance(value, basestring) for value in column) else ImportDataset1D
for column in data]
result = []
for (name, cls, column) in zip(names, classes, data):
if cls is ImportDataset1D:
result.append(ImportDataset1D(
name, data=[
# Import NULL values as NaN in numeric datasets
float('NaN') if value is None else float(value)
for value in column]))
else:
result.append(ImportDatasetText(
name, data=[
# Import NULL values as blank strings in text datasets
'' if value is None else value
for value in column]))
return result
importpluginregistry.append(ImportPluginSQLite)
first_col += 1
else:
names = [
'row{}'.format(i)
for i in range(first_row, last_row + 1)]
data = [
[cell for cell in sheet.row(row)[first_col:last_col + 1]]
for row in range(first_row, last_row + 1)]
names = sanitize_names(names)
classes = [
ImportDatasetText if any(cell.ctype == xlrd.XL_CELL_TEXT for cell in col) else ImportDataset1D
for col in data]
result = []
for (name, cls, column) in zip(names, classes, data):
if cls is ImportDataset1D:
result.append(ImportDataset1D(
name, data=[
# Import non-numeric cells as NaN
float(cell.value) if cell.ctype == xlrd.XL_CELL_NUMBER else float('NaN')
for cell in column]))
else:
result.append(ImportDatasetText(
name, data=[
cell.value if cell.ctype == xlrd.XL_CELL_TEXT else ''
for cell in column]))
return result
importpluginregistry.append(ImportPluginExcel)
