def on_save_as(self):
dialog = DefaultFileDialog(parent = self.window.control,
action = 'save as',
default_suffix = "flow",
wildcard = (FileDialog.create_wildcard("Cytoflow workflow", "*.flow") + ';' + #@UndefinedVariable
FileDialog.create_wildcard("All files", "*"))) #@UndefinedVariable
if dialog.open() == OK:
save_yaml(self.model.workflow, dialog.path)
self.filename = dialog.path
self.model.modified = False
self.window.title = "Cytoflow - " + self.filename
def on_notebook(self):
"""
Shows a dialog to export the workflow to an Jupyter notebook
"""
dialog = DefaultFileDialog(parent = self.window.control,
action = 'save as',
default_suffix = "ipynb",
wildcard = (FileDialog.create_wildcard("Jupyter notebook", "*.ipynb") + ';' + #@UndefinedVariable
FileDialog.create_wildcard("All files", "*"))) # @UndefinedVariable
if dialog.open() == OK:
save_notebook(self.model.workflow, dialog.path)
def _on_export(self):
dialog = DefaultFileDialog(parent = None,
action = 'save as',
default_suffix = "csv",
wildcard = (FileDialog.create_wildcard("CSV", "*.csv") + ';' + #@UndefinedVariable
FileDialog.create_wildcard("All files", "*"))) #@UndefinedVariable
if dialog.open() != OK:
return
data = pd.DataFrame(index = self.result.index)
data[self.result.name] = self.result
self._export_data(data, self.result.name, dialog.path)
def _on_export(self):
dialog = DefaultFileDialog(
parent=None,
action='save as',
default_suffix="csv",
wildcard=(
FileDialog.create_wildcard("CSV", "*.csv") +
';' + #@UndefinedVariable
FileDialog.create_wildcard("All files",
"*"))) #@UndefinedVariable
if dialog.open() != OK:
return
data = pd.DataFrame(index=self.result.index)
data[self.result.name] = self.result
if self.subset:
data = data.query(self.subset)
names = list(data.index.names)
for name in names:
unique_values = data.index.get_level_values(name).unique()
if len(unique_values) == 1:
data.index = data.index.droplevel(name)
facets = [
x for x in [
self.row_facet, self.subrow_facet, self.column_facet,
self.subcolumn_facet
] if x
]
if set(facets) != set(data.index.names):
raise util.CytoflowViewError(
"Must use all the statistic indices as variables or facets: {}"
.format(data.index.names))
row_groups = data.index.get_level_values(self.row_facet).unique() \
if self.row_facet else [None]
subrow_groups = data.index.get_level_values(self.subrow_facet).unique() \
if self.subrow_facet else [None]
col_groups = data.index.get_level_values(self.column_facet).unique() \
if self.column_facet else [None]
subcol_groups = data.index.get_level_values(self.subcolumn_facet).unique() \
if self.subcolumn_facet else [None]
row_offset = (self.column_facet != "") + (self.subcolumn_facet != "")
col_offset = (self.row_facet != "") + (self.subrow_facet != "")
num_rows = len(row_groups) * len(subrow_groups) + row_offset
num_cols = len(col_groups) * len(subcol_groups) + col_offset
t = np.empty((num_rows, num_cols), dtype=np.object_)
# make the main table
for (ri, r) in enumerate(row_groups):
for (rri, rr) in enumerate(subrow_groups):
for (ci, c) in enumerate(col_groups):
for (cci, cc) in enumerate(subcol_groups):
row_idx = ri * len(subrow_groups) + rri + row_offset
col_idx = ci * len(subcol_groups) + cci + col_offset
# agg_idx = [x for x in (r, rr, c, cc) if x is not None]
# agg_idx = tuple(agg_idx)
# if len(agg_idx) == 1:
# agg_idx = agg_idx[0]
# t[row_idx, col_idx] = self.result.get(agg_idx)
# this is not pythonic, but i'm tired
agg_idx = []
for data_idx in data.index.names:
if data_idx == self.row_facet:
agg_idx.append(r)
elif data_idx == self.subrow_facet:
agg_idx.append(rr)
elif data_idx == self.column_facet:
agg_idx.append(c)
elif data_idx == self.subcolumn_facet:
agg_idx.append(cc)
agg_idx = tuple(agg_idx)
if len(agg_idx) == 1:
agg_idx = agg_idx[0]
try:
text = "{:g}".format(
data.loc[agg_idx][self.result.name])
except ValueError:
text = data.loc[agg_idx][self.result.name]
t[row_idx, col_idx] = self.result.get(agg_idx)
# row headers
if self.row_facet:
for (ri, r) in enumerate(row_groups):
row_idx = ri * len(subrow_groups) + row_offset
text = "{0} = {1}".format(self.row_facet, r)
t[row_idx, 0] = text
# subrow headers
if self.subrow_facet:
for (ri, r) in enumerate(row_groups):
for (rri, rr) in enumerate(subrow_groups):
row_idx = ri * len(subrow_groups) + rri + row_offset
text = "{0} = {1}".format(self.subrow_facet, rr)
t[row_idx, 1] = text
# column headers
if self.column_facet:
for (ci, c) in enumerate(col_groups):
col_idx = ci * len(subcol_groups) + col_offset
text = "{0} = {1}".format(self.column_facet, c)
t[0, col_idx] = text
# column headers
if self.subcolumn_facet:
for (ci, c) in enumerate(col_groups):
for (cci, cc) in enumerate(subcol_groups):
col_idx = ci * len(subcol_groups) + cci + col_offset
text = "{0} = {1}".format(self.subcolumn_facet, c)
t[1, col_idx] = text
np.savetxt(dialog.path, t, delimiter=",", fmt="%s")