def show_thumbnail_montage(self, wellkey, pos):
images = db.execute(
'SELECT %s FROM %s WHERE %s ORDER BY %s' %
(','.join(p.image_thumbnail_cols), p.image_table,
dbconnect.GetWhereClauseForWells([wellkey]), p.image_id))
if images == []:
return
imsets = []
for channels in images:
try:
pngs = [Image.open(StringIO(im), 'r') for im in channels]
except IOError as e:
pngs = [
Image.open(StringIO(b64decode(im)), 'r') for im in channels
]
imsets += [[
np.fromstring(png.tobytes(), dtype='uint8').reshape(
png.size[1], png.size[0]).astype('float32') / 255
for png in pngs
]]
n_channels = len(imsets[0])
composite = []
for i in xrange(n_channels):
# composite each channel separately
composite += [
imagetools.tile_images([imset[i] for imset in imsets])
]
bmp = imagetools.MergeToBitmap(composite, p.image_channel_colors)
popup = BitmapPopup(self, bmp, pos=pos)
popup.Show()
def UpdateBitmap(self):
self.bitmap = imagetools.MergeToBitmap(self.images,
chMap=self.chMap,
brightness=self.brightness,
scale=self.scale,
contrast=self.contrast)
self.Refresh()
def __init__(self,
images,
channel_map,
parent,
scale=1.0,
brightness=1.0,
contrast=None):
"""
images -- list of numpy arrays
channel_map -- list of strings naming the color to map each channel
onto, e.g., ['red', 'green', 'blue']
parent -- parent window to the wx.Panel
scale -- factor to scale image by
brightness -- factor to scale image pixel intensities by
"""
self.chMap = channel_map
self.toggleChMap = channel_map[:]
self.images = images
# Displayed bitmap
self.bitmap = imagetools.MergeToBitmap(images,
chMap=channel_map,
scale=scale,
brightness=brightness,
contrast=contrast)
wx.Panel.__init__(self, parent, wx.NewId(), size=self.bitmap.Size)
self.scale = scale
self.brightness = brightness
self.contrast = contrast
self.selected = False
self.Bind(wx.EVT_PAINT, self.OnPaint)
def OnPaint(self, evt=None):
dc = wx.PaintDC(self)
dc.Clear()
dc.BeginDrawing()
w_win, h_win = (float(self.Size[0]), float(self.Size[1]))
cols_data, rows_data = (self.data.shape[1], self.data.shape[0])
# calculate the well radius
r = min(w_win / (cols_data + 1.) / 2., h_win /
(rows_data + 1.) / 2.) - 0.5
# calculate start position to draw at so image is centered.
w_data, h_data = ((cols_data + 1) * 2. * (r + 0.5),
(rows_data + 1) * 2. * (r + 0.5))
self.xo, self.yo = (0., 0.)
if w_win / h_win < w_data / h_data:
self.yo = (h_win - h_data) / 2
else:
self.xo = (w_win - w_data) / 2
# Set font size to fit
font = dc.GetFont()
if r > 14:
font.SetPixelSize((12, 24))
elif r > 6:
font.SetPixelSize((r - 2, (r - 2) * 2))
else:
font.SetPixelSize((3, 6))
wtext, htext = font.GetPixelSize()[0] * 2, font.GetPixelSize()[1]
dc.SetFont(font)
db = dbconnect.DBConnect.getInstance()
bmp = {}
imgs = {}
if self.well_disp == IMAGE:
if p.plate_id:
wells_and_images = db.execute(
'SELECT %s, %s FROM %s WHERE %s="%s" GROUP BY %s' %
(p.well_id, p.image_id, p.image_table, p.plate_id,
self.plate, p.well_id))
else:
wells_and_images = db.execute(
'SELECT %s, %s FROM %s GROUP BY %s' %
(p.well_id, p.image_id, p.image_table, p.well_id))
for well, im in wells_and_images:
imgs[well] = (im, )
elif self.well_disp == THUMBNAIL:
assert p.image_thumbnail_cols, 'No thumbnail columns are defined in the database. Platemap cannot be drawn.'
if p.plate_id:
wells_and_images = db.execute(
'SELECT %s, %s FROM %s WHERE %s="%s" GROUP BY %s' %
(p.well_id, ','.join(p.image_thumbnail_cols),
p.image_table, p.plate_id, self.plate, p.well_id))
else:
wells_and_images = db.execute(
'SELECT %s, %s FROM %s GROUP BY %s' % (p.well_id, ','.join(
p.image_thumbnail_cols), p.image_table, p.well_id))
for wims in wells_and_images:
try:
ims = [Image.open(StringIO(im), 'r') for im in wims[1:]]
except IOError as e:
ims = [
Image.open(StringIO(b64decode(im)), 'r')
for im in wims[1:]
]
ims = [
np.fromstring(im.tobytes(), dtype='uint8').reshape(
im.size[1], im.size[0]).astype('float32') / 255
for im in ims
]
imgs[wims[0]] = ims
py = self.yo
for y in range(rows_data + 1):
texty = py + (2. * r - htext) / 2.
px = self.xo
for x in range(cols_data + 1):
textx = px + (2. * r - wtext) / 2.
# Draw column headers
if y == 0 and x != 0:
dc.DrawText(self.col_labels[x - 1], textx, texty)
# Draw row headers
elif y != 0 and x == 0:
dc.DrawText(self.row_labels[y - 1], textx, texty)
px += 2 * r + 1
py += 2 * r + 1
py = self.yo
font.SetPixelSize((4, 8))
dc.SetFont(font)
for y in range(rows_data + 1):
texty = py + (2. * r - htext) / 2.
px = self.xo
for x in range(cols_data + 1):
textx = px + (2. * r - wtext) / 2.
# Draw wells
if y > 0 and x > 0:
if (y - 1, x - 1) in self.selection:
# thick black outline for selected wells
dc.SetPen(wx.Pen("BLACK", 5))
elif tuple(self.well_keys[y - 1][x - 1]) in self.outlined:
# thick gray outline for selected wells
dc.SetPen(wx.Pen("BLACK", 2, style=self.outline_style))
else:
# normal outline
dc.SetPen(wx.Pen("GRAY", 0.5))
color = np.array(
self.colormap(
self.data_scaled[y - 1][x - 1])[:3]) * 255
# NaNs get no color
if np.isnan(self.data[y - 1][x - 1]):
dc.SetBrush(wx.Brush(color, style=wx.TRANSPARENT))
else:
dc.SetBrush(wx.Brush(color))
# Draw Well Display
if self.well_disp == ROUNDED:
dc.DrawRoundedRectangle(px + 1, py + 1, r * 2, r * 2,
r * 0.75)
elif self.well_disp == CIRCLE:
dc.DrawCircle(px + r + 1, py + r + 1, r)
elif self.well_disp == SQUARE:
dc.DrawRectangle(px + 1, py + 1, r * 2, r * 2)
elif self.well_disp == THUMBNAIL:
wellkey = self.GetWellKeyAtCoord(px + r, py + r)
well = wellkey[-1]
if imgs.has_key(well):
size = imgs[well][0].shape
scale = r * 2. / max(size)
bmp[well] = imagetools.MergeToBitmap(
imgs[well],
p.image_channel_colors,
scale=scale)
dc.DrawBitmap(bmp[well], px + 1, py + 1)
elif self.well_disp == IMAGE:
p.image_buffer_size = p.plate_shape[0] * p.plate_shape[
1]
wellkey = self.GetWellKeyAtCoord(px + r, py + r)
well = wellkey[-1]
if imgs.has_key(well):
ims = imagetools.FetchImage(imgs[well])
size = ims[0].shape
scale = r * 2. / max(size)
bmp[well] = imagetools.MergeToBitmap(
ims, p.image_channel_colors, scale=scale)
dc.DrawBitmap(bmp[well], px + 1, py + 1)
# Draw text data
if self.text_data is not None:
if type(self.text_data[y - 1][x - 1]) == str:
dc.DrawText(str(self.text_data[y - 1][x - 1]),
px + 3, py + r)
else:
dc.SetPen(wx.Pen("GRAY", 1))
dc.DrawLine(px + 3, py + 3, px + r * 2 - 2,
py + r * 2 - 2)
dc.DrawLine(px + 3, py + r * 2 - 2, px + r * 2 - 2,
py + 3)
# Draw X
elif np.isnan(self.data[y - 1][x - 1]):
dc.SetPen(wx.Pen("GRAY", 1))
dc.DrawLine(px + 3, py + 3, px + r * 2 - 2,
py + r * 2 - 2)
dc.DrawLine(px + 3, py + r * 2 - 2, px + r * 2 - 2,
py + 3)
px += 2 * r + 1
py += 2 * r + 1
dc.EndDrawing()
return dc
class PlateMapPanel(wx.Panel):
'''
A Panel that displays a plate layout with wells that are colored by their
data (in the range [0,1]). The panel provides mechanisms for selection,
color mapping, setting row & column labels, and reshaping the layout.
'''
def __init__(self, parent, data, well_keys, shape=None,
colormap='jet', well_disp=ROUNDED, data_range=None,
toggle_selection_mode=False, **kwargs):
'''
ARGUMENTS:
parent -- wx parent window
data -- a numpy array of numeric values
KEYWORD ARGUMENTS:
shape -- a 2-tuple to reshape the data to (must fit the data)
well_keys -- list of keys for each well eg: (plate, well)
colormap -- a colormap name from matplotlib.cm
well_disp -- ROUNDED, CIRCLE, SQUARE, THUMBNAIL or IMAGE
data_range -- 2-tuple containing the min and max values that the data
should be normalized to. Otherwise the min and max will be taken
from the data (ignoring NaNs).
'''
wx.Panel.__init__(self, parent, **kwargs)
self.chMap = p.image_channel_colors
self.plate = None
self.tip = wx.ToolTip('')
self.tip.Enable(False)
self.SetToolTip(self.tip)
self.hideLabels = False
self.selection = set([])
self.outlined = []
self.repaint = False
self.outline_style = wx.SHORT_DASH
self.well_selection_handlers = [] # funcs to call when a well is selected
self.SetColorMap(colormap)
self.well_disp = well_disp
self.toggle_selection_mode = toggle_selection_mode
self.SetData(data, shape, data_range=data_range)
self.well_keys = np.ones(np.prod(self.data.shape), dtype=np.object)
for i in xrange(len(self.well_keys)):
self.well_keys[i] = ('Unknown Plate','Unknown Well')
self.well_keys = self.well_keys.reshape(self.data.shape)
for key in well_keys:
self.well_keys[DataModel.getInstance().get_well_position_from_name(key[-1])] = key
## for i, key in enumerate(well_keys):
## if i % self.data.shape[1] == 0:
## self.well_keys += [[]]
## self.well_keys[-1] += [key]
if self.data.shape[0] <= len(abc):
self.row_labels = ['%2s'%c for c in abc[:self.data.shape[0]]]
else:
self.row_labels = ['%02d'%(i+1) for i in range(self.data.shape[0])]
self.col_labels = ['%02d'%i for i in range(1,self.data.shape[1]+1)]
# minimum 5 sq. pixels per cell
self.SetMinSize((self.data.shape[1] * 10.0, self.data.shape[0] * 10.0))
self.Bind(wx.EVT_PAINT, self.OnPaint)
self.Bind(wx.EVT_SIZE, self.OnSize)
self.Bind(wx.EVT_IDLE, self.OnIdle)
self.Bind(wx.EVT_LEFT_DOWN, self.OnLClick)
self.Bind(wx.EVT_MOTION, self.OnMotion)
self.Bind(wx.EVT_LEFT_DCLICK, self.OnDClick)
self.Bind(wx.EVT_RIGHT_UP, self.OnRClick)
def SetData(self, data, shape=None, data_range=None, clip_interval=None, clip_mode='rescale'):
'''
data -- An iterable containing numeric values. It's shape will be used
to layout the plate unless overridden by the shape parameter
shape -- If passed, this will be used to reshape the data. (rows,cols)
'''
self.text_data = None
self.data = np.array(data).astype('float32')
if shape is not None:
self.data = self.data.reshape(shape)
self.SetClipInterval(clip_interval, data_range, clip_mode)
def SetTextData(self, data):
'''data -- An iterable containing values to be printed on top of each
well. The length of this must match the size of the platemap.
'''
self.text_data = np.array(data)
assert self.data.size == self.text_data.size
self.text_data = self.text_data.reshape(self.data.shape)
def SetClipInterval(self, clip_interval, data_range=None, clip_mode='rescale'):
'''
Rescales/clips the colormap to fit a new range.
clip_interval -- iterable pair of values to clip/rescale colors to
data_range -- 2-tuple containing the extents that the data should be
normalized to. Otherwise the extents will be taken from the data.
clip_mode -- whether to rescale the colormap to fit the interval,
or to simply clip the values.
'''
if data_range is None:
data_range = (np.nanmin(self.data), np.nanmax(self.data))
self.data_range = data_range
if clip_interval is None:
clip_interval = data_range
if clip_interval[0] == clip_interval[1] or data_range[0] == data_range[1]:
self.data_scaled = self.data - data_range[0] + 0.5
else:
# TODO: Set max, min values to inf, -inf and draw these differently on paint
if clip_mode == 'rescale':
self.data_scaled = (self.data - clip_interval[0]) / (clip_interval[1] - clip_interval[0])
elif clip_mode == 'clip':
self.data_scaled = (self.data - data_range[0]) / (data_range[1] - data_range[0])
scaled_interval = (clip_interval - data_range[0]) / (data_range[1] - data_range[0])
self.data_scaled[self.data_scaled < scaled_interval[0]] = 0.
self.data_scaled[self.data_scaled > scaled_interval[1]] = 1.
self.Refresh()
def SetColLabels(self, labels):
assert len(labels) >= self.data.shape[1]
self.col_labels = ['%2s'%c for c in labels]
self.Refresh()
def SetRowLabels(self, labels):
assert len(labels) >= self.data.shape[0]
self.row_labels = ['%2s'%c for c in labels]
self.Refresh()
def SetWellDisplay(self, well_disp):
'''
well_disp in PlatMapPanel.ROUNDED,
PlatMapPanel.CIRCLE,
PlatMapPanel.SQUARE
'''
self.well_disp = well_disp
self.Refresh()
def SetColorMap(self, map):
''' map: the name of a matplotlib.colors.LinearSegmentedColormap instance '''
self.colormap = matplotlib.cm.get_cmap(map)
self.Refresh()
def SetWellKeys(self, keys):
''' keys - a 2D array of keys uniquely identifying each well in the plate.'''
self.well_keys = keys
def SetOutlinedWells(self, well_keys):
'''well_keys: list of the well keys to flag'''
self.outlined = list(set(well_keys))
self.repaint = True
def OutlineWells(self, well_keys):
self.outlined = list(set(self.outlined + well_keys))
self.repaint = True
def UnOutlineWells(self, well_keys):
self.outlined = list(set(self.outlined) - set(well_keys))
self.repaint = True
def SelectWell(self, well):
''' well: 2-tuple of integers indexing a well position (row,col)'''
self.selection = set([well])
self.Refresh()
def ToggleSelected(self, well):
''' well: 2-tuple of integers indexing a well position (row,col)'''
if well in self.selection:
self.selection.remove(well)
else:
self.selection.add(well)
self.Refresh()
def GetWellAtCoord(self, x, y):
'''
returns a 2 tuple of integers indexing a well position
or None if there is no well at the given position.
'''
if not hasattr(self, 'xo'):
return None
r = min(self.Size[0]/(self.data.shape[1]+1.)/2.,
self.Size[1]/(self.data.shape[0]+1.)/2.) - 0.5
i = int((x-2-self.xo)/(r*2+1))
j = int((y-2-self.yo)/(r*2+1))
if 0<i<=self.data.shape[1] and 0<j<=self.data.shape[0]:
return (j-1,i-1)
else:
return None
def GetWellLabelAtCoord(self, x, y):
'''
returns the well label at the given x,y position
'''
loc = self.GetWellAtCoord(x,y)
if self.well_keys is not None and loc is not None:
row, col = loc
return str(self.well_keys[row][col][-1])
else:
return None
def GetWellKeyAtCoord(self, x, y):
'''
returns the well key at the given x,y position
'''
loc = self.GetWellAtCoord(x,y)
if self.well_keys is not None and loc is not None:
row, col = loc
return self.well_keys[row][col]
else:
return None
def GetWellKeys(self):
return [tuple(wk) for wk in self.well_keys]
def get_selected_well_keys(self):
return [tuple(self.well_keys[row][col]) for row, col in self.selection]
def OnPaint(self, evt=None):
dc = wx.PaintDC(self)
dc.Clear()
dc.BeginDrawing()
w_win, h_win = (float(self.Size[0]), float(self.Size[1]))
cols_data, rows_data = (self.data.shape[1], self.data.shape[0])
# calculate the well radius
r = min(w_win/(cols_data+1.)/2.,
h_win/(rows_data+1.)/2.) - 0.5
# calculate start position to draw at so image is centered.
w_data, h_data = ((cols_data+1)*2.*(r+0.5), (rows_data+1)*2.*(r+0.5))
self.xo, self.yo = (0., 0.)
if w_win/h_win < w_data/h_data:
self.yo = (h_win-h_data)/2
else:
self.xo = (w_win-w_data)/2
# Set font size to fit
font = dc.GetFont()
if r>14:
font.SetPixelSize((12,24))
elif r>6:
font.SetPixelSize((r-2,(r-2)*2))
else:
font.SetPixelSize((3,6))
wtext, htext = font.GetPixelSize()[0]*2, font.GetPixelSize()[1]
dc.SetFont(font)
db = dbconnect.DBConnect.getInstance()
bmp = {}
imgs = {}
if self.well_disp == IMAGE:
if p.plate_id:
wells_and_images = db.execute('SELECT %s, %s FROM %s WHERE %s="%s" GROUP BY %s'%(
p.well_id, p.image_id, p.image_table, p.plate_id, self.plate,
p.well_id))
else:
wells_and_images = db.execute('SELECT %s, %s FROM %s GROUP BY %s'%(
p.well_id, p.image_id, p.image_table, p.well_id))
for well, im in wells_and_images:
imgs[well] = (im, )
elif self.well_disp == THUMBNAIL:
assert p.image_thumbnail_cols, 'No thumbnail columns are defined in the database. Platemap cannot be drawn.'
if p.plate_id:
wells_and_images = db.execute('SELECT %s, %s FROM %s WHERE %s="%s" GROUP BY %s'%(
p.well_id, ','.join(p.image_thumbnail_cols), p.image_table,
p.plate_id, self.plate, p.well_id))
else:
wells_and_images = db.execute('SELECT %s, %s FROM %s GROUP BY %s'%(
p.well_id, ','.join(p.image_thumbnail_cols), p.image_table, p.well_id))
for wims in wells_and_images:
try:
ims = [Image.open(StringIO(im), 'r') for im in wims[1:]]
except IOError, e:
ims = [Image.open(StringIO(b64decode(im)), 'r') for im in wims[1:]]
ims = [np.fromstring(im.tostring(), dtype='uint8').reshape(im.size[1], im.size[0]).astype('float32') / 255
for im in ims]
imgs[wims[0]] = ims
py = self.yo
for y in range(rows_data+1):
texty = py+(2.*r - htext)/2.
px = self.xo
for x in range(cols_data+1):
textx = px+(2.*r - wtext)/2.
# Draw column headers
if y==0 and x!=0:
dc.DrawText(self.col_labels[x-1], textx, texty)
# Draw row headers
elif y!=0 and x==0:
dc.DrawText(self.row_labels[y-1], textx, texty)
px += 2*r+1
py += 2*r+1
py = self.yo
font.SetPixelSize((4,8))
dc.SetFont(font)
for y in range(rows_data+1):
texty = py+(2.*r - htext)/2.
px = self.xo
for x in range(cols_data+1):
textx = px+(2.*r - wtext)/2.
# Draw wells
if y>0 and x>0:
if (y-1, x-1) in self.selection:
# thick black outline for selected wells
dc.SetPen(wx.Pen("BLACK",5))
elif tuple(self.well_keys[y-1][x-1]) in self.outlined:
# thick gray outline for selected wells
dc.SetPen(wx.Pen("BLACK",2, style=self.outline_style))
else:
# normal outline
dc.SetPen(wx.Pen("GRAY",0.5))
color = np.array(self.colormap(self.data_scaled[y-1][x-1])[:3]) * 255
# NaNs get no color
if np.isnan(self.data[y-1][x-1]):
dc.SetBrush(wx.Brush(color, style=wx.TRANSPARENT))
else:
dc.SetBrush(wx.Brush(color))
# Draw Well Display
if self.well_disp == ROUNDED:
dc.DrawRoundedRectangle(px+1, py+1, r*2, r*2, r*0.75)
elif self.well_disp == CIRCLE:
dc.DrawCircle(px+r+1, py+r+1, r)
elif self.well_disp == SQUARE:
dc.DrawRectangle(px+1, py+1, r*2, r*2)
elif self.well_disp == THUMBNAIL:
wellkey = self.GetWellKeyAtCoord(px+r, py+r)
well = wellkey[-1]
if imgs.has_key(well):
size = imgs[well][0].shape
scale = r*2./max(size)
bmp[well] = imagetools.MergeToBitmap(imgs[well], p.image_channel_colors, scale=scale)
dc.DrawBitmap(bmp[well], px+1, py+1)
elif self.well_disp == IMAGE:
p.image_buffer_size = p.plate_shape[0] * p.plate_shape[1]
wellkey = self.GetWellKeyAtCoord(px+r, py+r)
well = wellkey[-1]
if imgs.has_key(well):
ims = imagetools.FetchImage(imgs[well])
size = ims[0].shape
scale = r*2./max(size)
bmp[well] = imagetools.MergeToBitmap(ims, p.image_channel_colors, scale=scale)
dc.DrawBitmap(bmp[well], px+1, py+1)
# Draw text data
if self.text_data is not None:
if type(self.text_data[y-1][x-1]) == str:
dc.DrawText(str(self.text_data[y-1][x-1]), px+3, py+r)
else:
dc.SetPen(wx.Pen("GRAY",1))
dc.DrawLine(px+3, py+3, px+r*2-2, py+r*2-2)
dc.DrawLine(px+3, py+r*2-2, px+r*2-2, py+3)
# Draw X
elif np.isnan(self.data[y-1][x-1]):
dc.SetPen(wx.Pen("GRAY",1))
dc.DrawLine(px+3, py+3, px+r*2-2, py+r*2-2)
dc.DrawLine(px+3, py+r*2-2, px+r*2-2, py+3)
px += 2*r+1
py += 2*r+1
dc.EndDrawing()
return dc
imsets = []
for channels in images:
try:
pngs = [Image.open(StringIO(im), 'r') for im in channels]
except IOError, e:
pngs = [Image.open(StringIO(b64decode(im)), 'r') for im in channels]
imsets += [[np.fromstring(png.tostring(), dtype='uint8').reshape(png.size[1], png.size[0]).astype('float32') / 255
for png in pngs]]
n_channels = len(imsets[0])
composite = []
for i in xrange(n_channels):
# composite each channel separately
composite += [imagetools.tile_images([imset[i] for imset in imsets])]
bmp = imagetools.MergeToBitmap(composite, p.image_channel_colors)
popup = BitmapPopup(self, bmp, pos=pos)
popup.Show()
if __name__ == "__main__":
app = wx.PySimpleApp()
data = np.arange(5600.)
a = np.zeros((40,140))
i = 0
for r, row in enumerate(a):
if r % 2 == 0:
a[r] = data[i:i+140]
else:
