class DataSourcePanel(wx.Panel):
'''
A panel with controls for selecting the source data for a histogramplot
'''
def __init__(self, parent, figpanel, **kwargs):
wx.Panel.__init__(self, parent, **kwargs)
# the panel to draw charts on
self.SetBackgroundColour('white') # color for the background of panel
self.figpanel = figpanel
sizer = wx.BoxSizer(wx.VERTICAL)
self.table_choice = ui.TableComboBox(self, -1, style=wx.CB_READONLY)
self.x_choice = ComboBox(self,
-1,
size=(200, -1),
choices=[''],
style=wx.CB_READONLY)
self.x_choice.Select(0)
self.bins_input = wx.SpinCtrl(self, -1, '100')
self.bins_input.SetRange(1, 400)
self.x_scale_choice = ComboBox(
self,
-1,
choices=[LINEAR_SCALE, LOG_SCALE, LOG2_SCALE],
style=wx.CB_READONLY)
self.x_scale_choice.Select(0)
self.y_scale_choice = ComboBox(self,
-1,
choices=[LINEAR_SCALE, LOG_SCALE],
style=wx.CB_READONLY)
self.y_scale_choice.Select(0)
self.filter_choice = ui.FilterComboBox(self, style=wx.CB_READONLY)
self.filter_choice.Select(0)
self.gate_choice = ui.GateComboBox(self, style=wx.CB_READONLY)
self.gate_choice.set_gatable_columns([self.x_column])
self.update_chart_btn = wx.Button(self, -1, "Update Chart")
self.update_column_fields()
sz = wx.BoxSizer(wx.HORIZONTAL)
sz.Add(wx.StaticText(self, -1, "x-axis:"), 0, wx.TOP, 4)
sz.AddSpacer((2, -1))
sz.Add(self.table_choice, 1, wx.EXPAND)
sz.AddSpacer((3, -1))
sz.Add(self.x_choice, 2, wx.EXPAND)
sizer.Add(sz, 1, wx.EXPAND)
sizer.AddSpacer((-1, 2))
sz = wx.BoxSizer(wx.HORIZONTAL)
sz.Add(wx.StaticText(self, -1, "x-scale:"), 0, wx.TOP, 4)
sz.AddSpacer((2, -1))
sz.Add(self.x_scale_choice, 1, wx.EXPAND)
sz.AddSpacer((5, -1))
sz.Add(wx.StaticText(self, -1, "y-scale:"), 0, wx.TOP, 4)
sz.AddSpacer((2, -1))
sz.Add(self.y_scale_choice, 1, wx.EXPAND)
sz.AddSpacer((5, -1))
sz.Add(wx.StaticText(self, -1, "bins:"), 0, wx.TOP, 4)
sz.AddSpacer((2, -1))
sz.Add(self.bins_input)
sizer.Add(sz, 1, wx.EXPAND)
sizer.AddSpacer((-1, 2))
sz = wx.BoxSizer(wx.HORIZONTAL)
sz.Add(wx.StaticText(self, -1, "filter:"), 0, wx.TOP, 4)
sz.AddSpacer((2, -1))
sz.Add(self.filter_choice, 1, wx.EXPAND)
sz.AddSpacer((5, -1))
sz.Add(wx.StaticText(self, -1, "gate:"), 0, wx.TOP, 4)
sz.AddSpacer((2, -1))
sz.Add(self.gate_choice, 1, wx.EXPAND)
sizer.Add(sz, 1, wx.EXPAND)
sizer.AddSpacer((-1, 2))
sizer.Add(self.update_chart_btn)
wx.EVT_COMBOBOX(self.table_choice, -1, self.on_table_selected)
wx.EVT_BUTTON(self.update_chart_btn, -1, self.update_figpanel)
self.gate_choice.addobserver(self.on_gate_selected)
self.SetSizer(sizer)
self.Show(1)
@property
def x_column(self):
return sql.Column(
self.table_choice.GetString(self.table_choice.GetSelection()),
self.x_choice.GetString(self.x_choice.GetSelection()))
@property
def filter(self):
return self.filter_choice.get_filter_or_none()
def on_table_selected(self, evt):
table = self.table_choice.Value
if table == ui.TableComboBox.OTHER_TABLE:
t = ui.get_other_table_from_user(self)
if t is not None:
self.table_choice.Items = self.table_choice.Items[:-1] + [
t
] + self.table_choice.Items[-1:]
self.table_choice.Select(self.table_choice.Items.index(t))
else:
self.table_choice.Select(0)
return
self.update_column_fields()
def on_gate_selected(self, gate_name):
self.update_gate_helper()
def update_gate_helper(self):
gate_name = self.gate_choice.get_gatename_or_none()
if gate_name:
self.figpanel.gate_helper.set_displayed_gate(
p.gates[gate_name], self.x_column, None)
else:
self.figpanel.gate_helper.disable()
def update_column_fields(self):
tablename = self.table_choice.GetString(
self.table_choice.GetSelection())
fieldnames = self.get_numeric_columns_from_table(tablename)
self.x_choice.Clear()
self.x_choice.AppendItems(fieldnames)
self.x_choice.SetSelection(0)
def get_numeric_columns_from_table(self, table):
''' Fetches names of numeric columns for the given table. '''
measurements = db.GetColumnNames(table)
types = db.GetColumnTypes(table)
return [
m for m, t in zip(measurements, types) if t in [float, int, long]
]
def _plotting_per_object_data(self):
return (p.object_table and p.object_table
in [self.x_column.table, self.x_column.table]
or (self.x_column.table != p.image_table
and db.adjacent(p.object_table, self.x_column.table)))
def update_figpanel(self, evt=None):
self.gate_choice.set_gatable_columns([self.x_column])
points = self._load_points()
bins = int(self.bins_input.GetValue())
self.figpanel.set_x_label(self.x_column.col)
self.figpanel.set_x_scale(
self.x_scale_choice.GetString(self.x_scale_choice.GetSelection()))
self.figpanel.set_y_scale(
self.y_scale_choice.GetString(self.y_scale_choice.GetSelection()))
self.figpanel.setpoints(points, bins)
self.update_gate_helper()
self.figpanel.draw()
def _load_points(self):
q = sql.QueryBuilder()
select = [self.x_column]
q.set_select_clause(select)
if self.filter is not None:
q.add_filter(self.filter)
return np.array(db.execute(str(q))).T[0]
def save_settings(self):
'''save_settings is called when saving a workspace to file.
returns a dictionary mapping setting names to values encoded as strings
'''
d = {
'table':
self.table_choice.GetString(self.table_choice.GetSelection()),
'x-axis':
self.x_choice.GetString(self.x_choice.GetSelection()),
'bins':
self.bins_input.GetValue(),
'x-scale':
self.x_scale_choice.GetString(self.x_scale_choice.GetSelection()),
'y-scale':
self.y_scale_choice.GetString(self.y_scale_choice.GetSelection()),
'filter':
self.filter_choice.GetString(self.filter_choice.GetSelection()),
'x-lim':
self.figpanel.subplot.get_xlim(),
'y-lim':
self.figpanel.subplot.get_ylim(),
}
if self.gate_choice.get_gatename_or_none():
d['gate'] = self.gate_choice.GetString(
self.gate_choice.GetSelection())
return d
def load_settings(self, settings):
'''load_settings is called when loading a workspace from file.
settings - a dictionary mapping setting names to values encoded as
strings.
'''
if 'table' in settings:
self.table_choice.SetStringSelection(settings['table'])
self.update_column_fields()
if 'x-axis' in settings:
self.x_choice.SetStringSelection(settings['x-axis'])
if 'bins' in settings:
self.bins_input.SetValue(int(settings['bins']))
if 'x-scale' in settings:
self.x_scale_choice.SetStringSelection(settings['x-scale'])
if 'y-scale' in settings:
self.y_scale_choice.SetStringSelection(settings['y-scale'])
if 'filter' in settings:
self.filter_choice.SetStringSelection(settings['filter'])
self.update_figpanel()
if 'x-lim' in settings:
self.figpanel.subplot.set_xlim(eval(settings['x-lim']))
if 'y-lim' in settings:
self.figpanel.subplot.set_ylim(eval(settings['y-lim']))
if 'gate' in settings:
self.gate_choice.SetStringSelection(settings['gate'])
self.figpanel.gate_helper.set_displayed_gate(
p.gates[settings['gate']], self.x_column, None)
self.figpanel.draw()
class DataSourcePanel(wx.Panel):
'''
A panel with controls for selecting the source data for a boxplot
'''
def __init__(self, parent, figpanel, **kwargs):
wx.Panel.__init__(self, parent, **kwargs)
# the panel to draw charts on
self.SetBackgroundColour('white') # color for the background of panel
self.figpanel = figpanel
sizer = wx.BoxSizer(wx.VERTICAL)
self.x_columns = [] # column names to plot if selecting multiple columns
self.table_choice = ui.TableComboBox(self, -1, style=wx.CB_READONLY)
self.x_choice = ComboBox(self, -1, size=(200,-1))
self.x_multiple = wx.Button(self, -1, 'select multiple')
self.group_choice = ComboBox(self, -1, choices=[NO_GROUP]+p._groups_ordered, style=wx.CB_READONLY)
self.group_choice.Select(0)
self.filter_choice = ui.FilterComboBox(self, style=wx.CB_READONLY)
self.filter_choice.Select(0)
self.update_chart_btn = wx.Button(self, -1, "Update Chart")
self.update_column_fields()
sz = wx.BoxSizer(wx.HORIZONTAL)
sz.Add(wx.StaticText(self, -1, "table:"), 0, wx.TOP, 4)
sz.AddSpacer((3,-1))
sz.Add(self.table_choice, 1, wx.EXPAND)
sz.AddSpacer((3,-1))
sz.Add(wx.StaticText(self, -1, "measurement:"), 0, wx.TOP, 4)
sz.AddSpacer((3,-1))
sz.Add(self.x_choice, 2, wx.EXPAND)
sz.AddSpacer((3,-1))
sz.Add(self.x_multiple, 0, wx.EXPAND|wx.TOP, 2)
sizer.Add(sz, 1, wx.EXPAND)
sizer.AddSpacer((-1,3))
sz = wx.BoxSizer(wx.HORIZONTAL)
sz.Add(wx.StaticText(self, -1, "group x-axis by:"), 0, wx.TOP, 4)
sz.AddSpacer((3,-1))
sz.Add(self.group_choice, 1, wx.EXPAND)
sizer.Add(sz, 1, wx.EXPAND)
sizer.AddSpacer((-1,3))
sz = wx.BoxSizer(wx.HORIZONTAL)
sz.Add(wx.StaticText(self, -1, "filter:"), 0, wx.TOP, 4)
sz.AddSpacer((3,-1))
sz.Add(self.filter_choice, 1, wx.EXPAND)
sizer.Add(sz, 1, wx.EXPAND)
sizer.AddSpacer((-1,3))
sizer.Add(self.update_chart_btn)
wx.EVT_BUTTON(self.x_multiple, -1, self.on_select_multiple)
wx.EVT_COMBOBOX(self.table_choice, -1, self.on_table_selected)
wx.EVT_COMBOBOX(self.x_choice, -1, self.on_column_selected)
wx.EVT_BUTTON(self.update_chart_btn, -1, self.update_figpanel)
self.SetSizer(sizer)
self.Show(1)
def on_select_multiple(self, evt):
tablename = self.table_choice.GetString(self.table_choice.GetSelection())
column_names = self.get_numeric_columns_from_table(tablename)
dlg = wx.MultiChoiceDialog(self,
'Select the columns you would like to plot',
'Select Columns', column_names)
dlg.SetSelections([column_names.index(v) for v in self.x_columns])
if (dlg.ShowModal() == wx.ID_OK):
self.x_choice.SetValue(SELECT_MULTIPLE)
self.x_columns = [column_names[i] for i in dlg.GetSelections()]
self.group_choice.Disable()
self.group_choice.SetStringSelection(NO_GROUP)
def on_table_selected(self, evt):
table = self.table_choice.Value
if table == ui.TableComboBox.OTHER_TABLE:
t = ui.get_other_table_from_user(self)
if t is not None:
self.table_choice.Items = self.table_choice.Items[:-1] + [t] + self.table_choice.Items[-1:]
self.table_choice.Select(self.table_choice.Items.index(t))
else:
self.table_choice.Select(0)
return
self.group_choice.Enable()
self.x_columns = []
self.update_column_fields()
def on_column_selected(self, evt):
self.group_choice.Enable()
def update_column_fields(self):
tablename = self.table_choice.GetString(self.table_choice.GetSelection())
fieldnames = self.get_numeric_columns_from_table(tablename)
self.x_choice.Clear()
self.x_choice.AppendItems(fieldnames)
self.x_choice.SetSelection(0)
def get_numeric_columns_from_table(self, table):
''' Fetches names of numeric columns for the given table. '''
measurements = db.GetColumnNames(table)
types = db.GetColumnTypes(table)
return [m for m,t in zip(measurements, types) if t in [float, int, long]]
def update_figpanel(self, evt=None):
table = self.table_choice.Value
fltr = self.filter_choice.get_filter_or_none()
grouping = self.group_choice.Value
if self.x_choice.Value == SELECT_MULTIPLE:
points_dict = {}
for col in self.x_columns:
pts = self.loadpoints(table, col, fltr, NO_GROUP)
for k in pts.keys(): assert k not in points_dict.keys()
points_dict.update(pts)
else:
col = self.x_choice.Value
points_dict = self.loadpoints(table, col, fltr, grouping)
# Check if the user is creating a plethora of plots by accident
if 100 >= len(points_dict) > 25:
res = wx.MessageDialog(self, 'Are you sure you want to show %s box '
'plots on one axis?'%(len(points_dict)),
'Warning', style=wx.YES_NO|wx.NO_DEFAULT
).ShowModal()
if res != wx.ID_YES:
return
elif len(points_dict) > 100:
wx.MessageBox('Sorry, boxplot can not show more than 100 plots on\n'
'a single axis. Your current settings would plot %d.\n'
'Try using a filter to narrow your query.'
%(len(points_dict)), 'Too many groups to plot')
return
self.figpanel.setpoints(points_dict)
if self.group_choice.Value != NO_GROUP:
self.figpanel.set_x_axis_label(grouping)
self.figpanel.set_y_axis_label(self.x_choice.Value)
self.figpanel.draw()
def loadpoints(self, tablename, col, fltr=None, grouping=NO_GROUP):
'''
Returns a dict mapping x label values to lists of values from col
'''
q = sql.QueryBuilder()
select = [sql.Column(tablename, col)]
if grouping != NO_GROUP:
dm = datamodel.DataModel.getInstance()
group_cols = dm.GetGroupColumnNames(grouping, include_table_name=True)
select += [sql.Column(*col.split('.')) for col in group_cols]
q.set_select_clause(select)
if fltr is not None:
q.add_filter(fltr)
res = db.execute(str(q))
res = np.array(res, dtype=object)
# replaces Nones with NaNs
for row in res:
if row[0] is None:
row[0] = np.nan
points_dict = {}
if self.group_choice.Value != NO_GROUP:
for row in res:
groupkey = tuple(row[1:])
points_dict[groupkey] = points_dict.get(groupkey, []) + [row[0]]
else:
points_dict = {col : [r[0] for r in res]}
return points_dict
def save_settings(self):
'''
Called when saving a workspace to file.
returns a dictionary mapping setting names to values encoded as strings
'''
if self.x_choice.Value == SELECT_MULTIPLE:
cols = self.x_columns
else:
cols = [self.x_choice.GetString(self.x_choice.GetSelection())]
return {'table' : self.table_choice.Value,
'x-axis' : ','.join(cols),
'filter' : self.filter_choice.Value,
'x-lim' : self.figpanel.subplot.get_xlim(),
'y-lim' : self.figpanel.subplot.get_ylim(),
## 'grouping': self.group_choice.Value,
## 'version': '1',
}
def load_settings(self, settings):
'''load_settings is called when loading a workspace from file.
settings - a dictionary mapping setting names to values encoded as
strings.
'''
## if 'version' not in settings:
## settings['grouping'] = NO_GROUP
## settings['version'] = '1'
if 'table' in settings:
self.table_choice.SetStringSelection(settings['table'])
self.update_column_fields()
if 'x-axis' in settings:
cols = map(str.strip, settings['x-axis'].split(','))
if len(cols) == 1:
self.x_choice.SetStringSelection(cols[0])
else:
self.x_choice.SetValue(SELECT_MULTIPLE)
self.x_columns = cols
if 'filter' in settings:
self.filter_choice.SetStringSelection(settings['filter'])
self.update_figpanel()
if 'x-lim' in settings:
self.figpanel.subplot.set_xlim(eval(settings['x-lim']))
if 'y-lim' in settings:
self.figpanel.subplot.set_ylim(eval(settings['y-lim']))
self.figpanel.draw()