class at_graph(Frame):
def __init__(self, parent):
Frame.__init__(self, parent)
self.parent = parent
self.u = utils('atoutput.pkl')
self.km = dict()
self.price = dict()
self.km[0] = (min(self.u.all_km), max(self.u.all_km))
self.price[0] = (min(self.u.all_price), max(self.u.all_price))
self.zoom_level = 0
try:
self.parent.title("Auto trader results")
self.is_standalone = True
except:
self.is_standalone = False
self.style = Style()
self.style.theme_use("classic")
# Assume the parent is the root widget; make the frame take up the
# entire widget size.
print self.is_standalone
if self.is_standalone:
self.w, self.h = map(int,
self.parent.geometry().split('+')[0].split('x'))
self.w, self.h = 800, 800
else:
self.w, self.h = 600, 600
self.c = None
# Are they hovering over a data point?
self.is_hovering = False
# Filter the description strings: lower and whiten any non-matching
# data point.
self.filter = ''
self.re = list()
self.replot()
def replot(self, zlfrac=None):
"""Replot the graph. If zlfrac is not None, then it should be a
fractional value between 0 and 1; this is used to do smooth zooming,
which doesn't plot the axes (it only redraws the car points)."""
if self.c is not None:
self.c.destroy()
self.c = Canvas(self, height=self.h, width=self.w, bd=1, bg='#f3f5f9')
self.c.grid(sticky=S, pady=1, padx=1)
zl = self.zoom_level
if zlfrac is not None:
z1l, z1h = self.zoom_price_start
z2l, z2h = self.zoom_price_end
price_low = z1l + (z2l - z1l) * zlfrac
price_high = z1h + (z2h - z1h) * zlfrac
z1l, z1h = self.zoom_km_start
z2l, z2h = self.zoom_km_end
km_low = z1l + (z2l - z1l) * zlfrac
km_high = z1h + (z2h - z1h) * zlfrac
self.axis((price_low, price_high), 'y', draw=False)
self.axis((km_low, km_high), 'x', draw=False)
self.car_points(draw=False)
else:
self.axis(self.price[zl], 'y')
self.axis(self.km[zl], 'x')
self.car_points()
self.pack(fill=BOTH, expand=1)
def xyp(self, x, y):
"Given x in km and y in $, return canvas position (xp, yp)."
xp = int(math.floor((1.0 * x - self.x1) / (self.x2 - self.x1) \
* (self.xp2 - self.xp1) + self.xp1 + 0.5))
yp = int(math.floor((1.0 * y - self.y1) / (self.y2 - self.y1) \
* (self.yp2 - self.yp1) + self.yp1 + 0.5))
return (xp, yp)
def axis(self, arange, ax, draw=True):
"Add an axis ax='x' or 'y', with arange=(min, max) values."
if draw:
a1, a2, ast = self.u.axis(*arange)
else:
a1, a2 = arange
ast = (a2 - a1) * 0.2
nt = int(math.floor((a2 - a1) / ast + 0.5)) + 1
st_offset = 50
# Remember the min and max axis values, along with the canvas points
# that correspond to each location (xp1 and xp2). This allows us to
# calculate where on the canvas a particular (x, y) value falls.
if ax == 'x':
self.x1, self.x2 = a1, a2
self.xp1, self.xp2 = st_offset, self.w - st_offset
self.xtick = [a1 + i * ast for i in range(nt)]
# Remember where the midpoint of the axis is, relative to canvas.
self.xmid = (self.xp1 + self.xp2) / 2
else:
self.y1, self.y2 = a1, a2
self.yp1, self.yp2 = self.h - st_offset, st_offset
self.ytick = [a1 + i * ast for i in range(nt)]
# Remember where the midpoint of the axis is, relative to canvas.
self.ymid = (self.yp1 + self.yp2) / 2
# Figure out tick labels.
atick = ['%g' % ((a1 + i * ast) / 1000) for i in range(nt)]
# Figure out maximum decimal places on all tick labels, and ensure
# they all have that many decimal places.
max_dec = max(map(lambda x: 0 if '.' not in x
else len(x.split('.')[1]), atick))
if max_dec > 0:
atick = map(lambda x: x + '.' + '0'*max_dec if '.' not in x
else x + '0'*(max_dec - len(x.split('.')[1])), atick)
yst, xst = self.h - st_offset, st_offset
# Draw axis line proper, and axis label.
if draw:
if ax == 'x':
self.c.create_line(xst, yst, self.w - st_offset, yst)
xp = (xst + self.w - st_offset) / 2
self.c.create_text(xp, yst + 30, text='Mileage (km x 1000)')
else:
self.c.create_line(xst, yst, xst, st_offset)
self.c.create_text(xst, st_offset - 30, text='Price')
self.c.create_text(xst, st_offset - 15, text='($000)')
tick_anchor = [N, E][ax == 'y']
tick_x, tick_y = xst, yst
tick_step = ([self.w, self.h][ax == 'y'] - st_offset * 2 * 1.0) / \
(nt - 1)
label_offset = 3
for i1, tick in enumerate(atick):
x_of, y_of = -label_offset, label_offset
if ax == 'y':
y_of = int(-i1 * tick_step)
else:
x_of = int(i1 * tick_step)
if draw:
self.c.create_text(tick_x + x_of, tick_y + y_of,
text=tick, anchor=tick_anchor)
x_mini, y_mini = 0, 0
x_maxi, y_maxi = 0, 0
if ax == 'y':
x_of += label_offset
x_mini, x_maxi = 8, self.w - st_offset * 2
# Remember what y coord this grid line is at.
if i1 == 0:
self.y_grid = []
self.y_grid.append(tick_y + y_of)
else:
y_of -= label_offset
y_mini, y_maxi = -8, st_offset * 2 - self.h
# Remember what x coord this grid line is at.
if i1 == 0:
self.x_grid = []
self.x_grid.append(tick_x + x_of)
if draw:
# Draw the little solid tick, next to the axis.
self.c.create_line(tick_x + x_of, tick_y + y_of,
tick_x + x_of + x_mini, tick_y + y_of + y_mini)
# Draw a dashed grid line, across the entire graph.
self.c.create_line(tick_x + x_of, tick_y + y_of,
tick_x + x_of + x_maxi, tick_y + y_of + y_maxi,
dash=(1, 3))
def car_points(self, draw=True):
"Plot the cars themselves."
# 199 215 151 151 199 224 230 162 157 250 224 167 178 165 192 249 200 216 204 204 204 191 173 158
color_order = ['#c7d797', '#97c7e0', '#e6a29d', '#fae0a7', '#b2a5c0',
'#f9c8d8', '#bfad9e', '#cccccc']
#color_order = ['#98df8a', '#dbdb8d', '#aec7e8', '#c9acd4', '#f7b6d2',
# '#ffbb80', '#dc9b8d', '#e9ab17', '#dddddd']
# Those colors above aren't saturated enough. Saturate them more.
color_order = map(lambda x: resaturate(x, -80), color_order)
# Change color depending on year.
cy = dict()
for i1, year in enumerate(reversed(sorted(set(self.u.all_year)))):
cy[year] = color_order[-1]
if i1 < len(color_order):
cy[year] = color_order[i1]
i1 = -1
# Tuples of (index into self.u.all_* arrays, x position, y position).
self.ov_dict = dict()
if draw:
self.c.focus_set()
self.c.bind('<Button-1>', func=self.zoom)
self.c.bind('<Button-2>', func=self.unzoom)
self.c.bind('<Left>', func=self.left_key)
self.c.bind('<Right>', func=self.right_key)
self.c.bind('<Up>', func=self.up_key)
self.c.bind('<Down>', func=self.down_key)
legend = set()
osz = 3 + self.zoom_level * 1
# Total vehicle count, and vehicles which pass the filter count.
self.vcount = self.fcount = 0
for year, km, price in zip(self.u.all_year, self.u.all_km,
self.u.all_price):
x, y = self.xyp(km, price)
i1 += 1
if x < self.x_grid[0] or x > self.x_grid[-1] or \
y > self.y_grid[0] or y < self.y_grid[-1]:
continue
self.vcount += 1
legend.add((year, cy[year]))
filtered = False
if not re.search(self.filter, self.u.all_descr[i1], re.I):
filtered = True
# If a data point is filtered out, make its outline reflect its
# model year, and fill it with white.
#
# Else, make its outline and fill color reflect the model year, and
# upon mouseover, make it entirely red.
ov = self.c.create_oval(x-osz, y-osz, x+osz, y+osz,
outline=cy[year],
activeoutline=['red', cy[year]][filtered],
fill=[cy[year], 'white'][filtered],
activefill=['red', 'white'][filtered],
)
self.ov_dict[ov] = (i1, x, y, cy[year], filtered)
# If a data point is filtered out, mousing over it does nothing,
# and also, lower it behind everything else.
if filtered:
self.c.lower(ov)
else:
self.fcount += 1
if draw:
use_tag = 'Tag %d' % i1
self.c.addtag_withtag(use_tag, ov)
self.c.tag_bind(use_tag, sequence='<Enter>',
func=self.mouseover)
self.c.tag_bind(use_tag, sequence='<Leave>',
func=self.mouseoff)
self.c.tag_bind(use_tag, sequence='<Button-1>',
func=self.select)
if draw:
# OK, add a legend for every year that's displayed.
i1 = 0
for yr, color in reversed(sorted(legend)):
xp, yp = self.x_grid[-1] + 10, self.y_grid[-1] + 15 * i1
self.c.create_oval(xp-osz, yp-osz, xp+osz, yp+osz,
outline=color, fill=color)
self.c.create_text(xp + 8, yp, text=str(yr), anchor=W)
i1 += 1
# And, add a title.
tistr = 'Vehicle count: %d' % self.vcount
if self.fcount != self.vcount:
tistr = 'Filtered vehicle count: %d' % self.fcount
xp = (self.x_grid[0] + self.x_grid[-1]) / 2
yp = self.y_grid[-1] - 30
self.c.create_text(xp, yp, text=tistr, font=('Helvetica', '16'))
zstr1 = 'Click on a blank graph location to zoom in'
zstr2 = 'Right click to zoom out'
if self.zoom_level == 0:
zstr = zstr1
elif self.zoom_level == 2:
zstr = zstr2
else:
zstr = zstr1 + ', or r' + zstr2[1:]
self.c.create_text(xp, yp + 16, text=zstr, font=('Helvetica', '14'))
def mouseover(self, event):
oval = event.widget.find_closest(event.x, event.y)[0]
# XXX Sometimes, the closest widget is an axis grid line, not an oval.
# Need to handle this correctly eventually.
if oval not in self.ov_dict:
return
self.is_hovering = True
ind, x, y, color, filtered = self.ov_dict[oval]
# Figure out how high the box needs to be by creating the text off-
# graph, then getting its bbox and deleting it.
w = 200
de_text = self.u.all_descr[ind]
deobj = self.c.create_text(self.w + 3, self.h + 3, text=de_text,
anchor=N+W, width=w-6, font=('Helvetica', '14'))
bbox = self.c.bbox(deobj)
self.c.delete(deobj)
h = 18 + bbox[3] - bbox[1]
border = 5
if x > self.xmid:
x -= (w + border)
else:
x += border
if y > self.ymid:
y -= (h + border)
else:
y += border
self.re = list()
self.re.append(self.c.create_rectangle(x, y, x + w, y + h,
fill=resaturate(color, 50)))
pr_text = '$%s' % self.u.commafy(self.u.all_price[ind])
self.re.append(self.c.create_text(x + 3, y + 3, text=pr_text,
anchor=N+W, font=('Helvetica', '10')))
km_text = '%skm' % self.u.commafy(self.u.all_km[ind])
self.re.append(self.c.create_text(x + w - 3, y + 3, text=km_text,
anchor=N+E, font=('Helvetica', '10')))
wh_text = self.u.all_wherestr[ind]
if wh_text[0].isdigit():
wh_text += ' away'
self.re.append(self.c.create_text(x + w/2, y + 3, text=wh_text,
anchor=N, font=('Helvetica', '10')))
self.re.append(self.c.create_text(x + 3, y + 16, text=de_text,
anchor=N+W, width=w-6, font=('Helvetica', '14')))
def set_filter(self, st):
"Given a string 'st', filter ovals whose description doesn't match."
self.filter = st
self.replot()
def mouseoff(self, event):
"Code for mousing off a data point."
# The tooptip rectangle and all its sub-objects need to be destroyed.
map(self.c.delete, self.re)
# Also, need to note that we're no longer over an oval -- that way,
# Button-1 events will cause a zoom, rather than launching a web page.
self.is_hovering = False
def _zoom_animation(self):
import time
from math import tanh
scale = 5
for i1 in range(-scale, scale+1):
self.replot(zlfrac=0.5 + 0.5*tanh(i1*2.0/scale)/tanh(2.0))
self.c.update()
def zoom(self, event):
# Only zoom in if we're actually within the graph boundaries.
if event.x <= self.x_grid[0] or event.x > self.x_grid[-1]:
return
if event.y >= self.y_grid[0] or event.y < self.y_grid[-1]:
return
# Don't zoom if we're hovering over a data point: let the web browser
# event handler operate.
if self.is_hovering:
return
# Don't zoom in more than twice.
if self.zoom_level >= 2:
return
# Find the grid square which we're inside.
for i1 in range(len(self.x_grid) - 1):
if event.x <= self.x_grid[i1 + 1]:
xgrid = i1 + 1
break
for i1 in range(len(self.y_grid) - 1):
if event.y >= self.y_grid[i1 + 1]:
ygrid = i1 + 1
break
self.zoom_level += 1
zl = self.zoom_level
# Make the limits of the new graph be those of the grid square which
# was clicked inside.
self.km[zl] = (self.xtick[xgrid-1], self.xtick[xgrid])
self.price[zl] = (self.ytick[ygrid-1], self.ytick[ygrid])
if zl == 1:
self.zoom_price_start = self.u.axis(*self.price[0])[:2]
self.zoom_km_start = self.u.axis(*self.km[0])[:2]
else:
self.zoom_price_start = self.price[zl - 1]
self.zoom_km_start = self.km[zl - 1]
self.zoom_price_end = self.price[zl]
self.zoom_km_end = self.km[zl]
self._zoom_animation()
self.replot()
def unzoom(self, event):
# If already at maximum zoom, nothing to be done.
if self.zoom_level == 0:
return
# If not clicking inside graph boundaries, don't unzoom.
if event.x <= self.x_grid[0] or event.x > self.x_grid[-1]:
return
if event.y >= self.y_grid[0] or event.y < self.y_grid[-1]:
return
self.zoom_level -= 1
zl = self.zoom_level
self.zoom_price_start = self.price[zl + 1]
self.zoom_km_start = self.km[zl + 1]
if zl == 0:
self.zoom_price_end = self.u.axis(*self.price[0])[:2]
self.zoom_km_end = self.u.axis(*self.km[0])[:2]
else:
self.zoom_price_end = self.price[zl]
self.zoom_km_end = self.km[zl]
self._zoom_animation()
self.replot()
def left_key(self, event):
zl = self.zoom_level
if zl == 0:
return
# If at left edge already, don't scroll.
kz = self.km[zl]
if self.km[0][0] > kz[0]:
return
self.zoom_price_start = self.zoom_price_end = self.price[zl]
self.zoom_km_start = kz
self.km[zl] = (kz[0] - (kz[1] - kz[0]), kz[0])
self.zoom_km_end = self.km[zl]
self._zoom_animation()
self.replot()
def right_key(self, event):
zl = self.zoom_level
if zl == 0:
return
# If at right edge already, don't scroll.
kz = self.km[zl]
if self.km[0][1] < kz[1]:
return
self.zoom_price_start = self.zoom_price_end = self.price[zl]
self.zoom_km_start = kz
self.km[zl] = (kz[1], kz[1] + (kz[1] - kz[0]))
self.zoom_km_end = self.km[zl]
self._zoom_animation()
self.replot()
def down_key(self, event):
zl = self.zoom_level
if zl == 0:
return
# If at bottom edge already, don't scroll.
pz = self.price[zl]
if self.price[0][0] > pz[0]:
return
self.zoom_km_start = self.zoom_km_end = self.km[zl]
self.zoom_price_start = pz
self.price[zl] = (pz[0] - (pz[1] - pz[0]), pz[0])
self.zoom_price_end = self.price[zl]
self._zoom_animation()
self.replot()
def up_key(self, event):
zl = self.zoom_level
if zl == 0:
return
# If at top edge already, don't scroll.
pz = self.price[zl]
if self.price[0][1] < pz[1]:
return
self.zoom_km_start = self.zoom_km_end = self.km[zl]
self.zoom_price_start = pz
self.price[zl] = (pz[1], pz[1] + (pz[1] - pz[0]))
self.zoom_price_end = self.price[zl]
self._zoom_animation()
self.replot()
def select(self, event):
"Open a web page, when a data point has been clicked on."
oval = event.widget.find_closest(event.x, event.y)[0]
# XXX As above, sometimes the closest widget is a grid line, not an
# oval. Need to handle this correctly, eventually.
if oval not in self.ov_dict:
return
ind, xp, yp, color, filtered = self.ov_dict[oval]
webbrowser.open(self.u.all_alink[ind])
class histogramWidget:
BACKGROUND = "#222222"
EDGE_HISTOGRAM_COLOR = "#999999"
NODE_HISTOGRAM_COLOR = "#555555"
TOOLTIP_COLOR="#FFFF55"
PADDING = 8
CENTER_WIDTH = 1
CENTER_COLOR = "#444444"
ZERO_GAP = 1
UPDATE_WIDTH = 9
UPDATE_COLOR = "#FFFFFF"
HANDLE_WIDTH = 5
HANDLE_COLOR = "#FFFFFF"
HANDLE_LENGTH = (HEIGHT-2*PADDING)
TICK_COLOR = "#FFFFFF"
TICK_WIDTH = 10
TICK_FACTOR = 2
LOG_BASE = 10.0
def __init__(self, parent, x, y, width, height, data, logScale=False, callback=None):
self.canvas = Canvas(parent,background=histogramWidget.BACKGROUND, highlightbackground=histogramWidget.BACKGROUND,width=width,height=height)
self.canvas.place(x=x,y=y,width=width,height=height,bordermode="inside")
self.logScale = logScale
self.callback = callback
self.edgeBars = []
self.nodeBars = []
self.binValues = []
self.numBins = len(data) - 1
self.currentBin = self.numBins # start the slider at the highest bin
edgeRange = 0.0
nodeRange = 0.0
for values in data.itervalues():
if values[0] > edgeRange:
edgeRange = values[0]
if values[1] > nodeRange:
nodeRange = values[1]
edgeRange = float(edgeRange) # ensure that it will yield floats when used in calculations...
nodeRange = float(nodeRange)
if logScale:
edgeRange = math.log(edgeRange,histogramWidget.LOG_BASE)
nodeRange = math.log(nodeRange,histogramWidget.LOG_BASE)
# calculate the center line - but don't draw it yet
self.center_x = histogramWidget.PADDING
if self.logScale:
self.center_x += histogramWidget.TICK_WIDTH+histogramWidget.PADDING
self.center_y = height/2
self.center_x2 = width-histogramWidget.PADDING
self.center_y2 = self.center_y + histogramWidget.CENTER_WIDTH
# draw the histograms with background-colored baseline rectangles (these allow tooltips to work on very short bars with little area)
self.bar_interval = float(self.center_x2 - self.center_x) / (self.numBins+1)
bar_x = self.center_x
edge_y2 = self.center_y-histogramWidget.PADDING
edge_space = edge_y2-histogramWidget.PADDING
node_y = self.center_y2+histogramWidget.PADDING
node_space = (height-node_y)-histogramWidget.PADDING
thresholds = sorted(data.iterkeys())
for threshold in thresholds:
self.binValues.append(threshold)
edgeWeight = data[threshold][0]
nodeWeight = data[threshold][1]
if logScale:
if edgeWeight > 0:
edgeWeight = math.log(edgeWeight,histogramWidget.LOG_BASE)
else:
edgeWeight = 0
if nodeWeight > 0:
nodeWeight = math.log(nodeWeight,histogramWidget.LOG_BASE)
else:
nodeWeight = 0
bar_x2 = bar_x + self.bar_interval
edge_y = histogramWidget.PADDING + int(edge_space*(1.0-edgeWeight/edgeRange))
edge = self.canvas.create_rectangle(bar_x,edge_y,bar_x2,edge_y2,fill=histogramWidget.EDGE_HISTOGRAM_COLOR,width=0)
baseline = self.canvas.create_rectangle(bar_x,edge_y2+histogramWidget.ZERO_GAP,bar_x2,edge_y2+histogramWidget.PADDING,fill=histogramWidget.BACKGROUND,width=0)
self.canvas.addtag_withtag("Threshold: %f" % threshold,edge)
self.canvas.addtag_withtag("No. Edges: %i" % data[threshold][0],edge)
self.canvas.tag_bind(edge,"<Enter>",self.updateToolTip)
self.canvas.tag_bind(edge,"<Leave>",self.updateToolTip)
self.edgeBars.append(edge)
self.canvas.addtag_withtag("Threshold: %f" % threshold,baseline)
self.canvas.addtag_withtag("No. Edges: %i" % data[threshold][0],baseline)
self.canvas.tag_bind(baseline,"<Enter>",self.updateToolTip)
self.canvas.tag_bind(baseline,"<Leave>",self.updateToolTip)
node_y2 = node_y + int(node_space*(nodeWeight/nodeRange))
node = self.canvas.create_rectangle(bar_x,node_y,bar_x2,node_y2,fill=histogramWidget.NODE_HISTOGRAM_COLOR,width=0)
baseline = self.canvas.create_rectangle(bar_x,node_y-histogramWidget.PADDING,bar_x2,node_y-histogramWidget.ZERO_GAP,fill=histogramWidget.BACKGROUND,width=0)
self.canvas.addtag_withtag("Threshold: %f" % threshold,node)
self.canvas.addtag_withtag("No. Nodes: %i" % data[threshold][1],node)
self.canvas.tag_bind(node,"<Enter>",self.updateToolTip)
self.canvas.tag_bind(node,"<Leave>",self.updateToolTip)
self.nodeBars.append(node)
self.canvas.addtag_withtag("Threshold: %f" % threshold,baseline)
self.canvas.addtag_withtag("No. Nodes: %i" % data[threshold][1],baseline)
self.canvas.tag_bind(baseline,"<Enter>",self.updateToolTip)
self.canvas.tag_bind(baseline,"<Leave>",self.updateToolTip)
bar_x = bar_x2
# now draw the center line
self.centerLine = self.canvas.create_rectangle(self.center_x,self.center_y,self.center_x2,self.center_y2,fill=histogramWidget.CENTER_COLOR,width=0)
# draw the tick marks if logarithmic
if self.logScale:
tick_x = histogramWidget.PADDING
tick_x2 = histogramWidget.PADDING+histogramWidget.TICK_WIDTH
start_y = edge_y2
end_y = histogramWidget.PADDING
dist = start_y-end_y
while dist > 1:
dist /= histogramWidget.TICK_FACTOR
self.canvas.create_rectangle(tick_x,end_y+dist-1,tick_x2,end_y+dist,fill=histogramWidget.TICK_COLOR,width=0)
start_y = node_y
end_y = height-histogramWidget.PADDING
dist = end_y-start_y
while dist > 1:
dist /= histogramWidget.TICK_FACTOR
self.canvas.create_rectangle(tick_x,end_y-dist,tick_x2,end_y-dist+1,fill=histogramWidget.TICK_COLOR,width=0)
# draw the update bar
bar_x = self.currentBin*self.bar_interval + self.center_x
bar_x2 = self.center_x2
bar_y = self.center_y-histogramWidget.UPDATE_WIDTH/2
bar_y2 = bar_y+histogramWidget.UPDATE_WIDTH
self.updateBar = self.canvas.create_rectangle(bar_x,bar_y,bar_x2,bar_y2,fill=histogramWidget.UPDATE_COLOR,width=0)
# draw the handle
handle_x = self.currentBin*self.bar_interval-histogramWidget.HANDLE_WIDTH/2+self.center_x
handle_x2 = handle_x+histogramWidget.HANDLE_WIDTH
handle_y = self.center_y-histogramWidget.HANDLE_LENGTH/2
handle_y2 = handle_y+histogramWidget.HANDLE_LENGTH
self.handleBar = self.canvas.create_rectangle(handle_x,handle_y,handle_x2,handle_y2,fill=histogramWidget.HANDLE_COLOR,width=0)
self.canvas.tag_bind(self.handleBar, "<Button-1>",self.adjustHandle)
self.canvas.tag_bind(self.handleBar, "<B1-Motion>",self.adjustHandle)
self.canvas.tag_bind(self.handleBar, "<ButtonRelease-1>",self.adjustHandle)
parent.bind("<Left>",lambda e: self.nudgeHandle(e,-1))
parent.bind("<Right>",lambda e: self.nudgeHandle(e,1))
# init the tooltip as nothing
self.toolTipBox = self.canvas.create_rectangle(0,0,0,0,state="hidden",fill=histogramWidget.TOOLTIP_COLOR,width=0)
self.toolTip = self.canvas.create_text(0,0,state="hidden",anchor="nw")
self.canvas.bind("<Enter>",self.updateToolTip)
self.canvas.bind("<Leave>",self.updateToolTip)
def adjustHandle(self, event):
newBin = int(self.numBins*(event.x-self.center_x)/float(self.center_x2-self.center_x)+0.5)
if newBin == self.currentBin or newBin < 0 or newBin > self.numBins:
return
self.canvas.move(self.handleBar,(newBin-self.currentBin)*self.bar_interval,0)
self.currentBin = newBin
if self.callback != None:
self.callback(self.binValues[newBin])
def nudgeHandle(self, event, distance):
temp = self.currentBin+distance
if temp < 0 or temp > self.numBins:
return
self.canvas.move(self.handleBar,distance*self.bar_interval,0)
self.currentBin += distance
if self.callback != None:
self.callback(self.binValues[self.currentBin])
def update(self, currentBins):
currentBar = self.canvas.coords(self.updateBar)
self.canvas.coords(self.updateBar,currentBins*self.bar_interval+self.center_x,currentBar[1],currentBar[2],currentBar[3])
def updateToolTip(self, event):
allTags = self.canvas.gettags(self.canvas.find_overlapping(event.x,event.y,event.x+1,event.y+1))
if len(allTags) == 0:
self.canvas.itemconfig(self.toolTipBox,state="hidden")
self.canvas.itemconfig(self.toolTip,state="hidden")
return
outText = ""
for t in allTags:
if t == "current":
continue
outText += t + "\n"
outText = outText[:-1] # strip the last return
self.canvas.coords(self.toolTip,event.x+20,event.y)
self.canvas.itemconfig(self.toolTip,state="normal",text=outText,anchor="nw")
# correct if our tooltip is off screen
textBounds = self.canvas.bbox(self.toolTip)
if textBounds[2] >= WIDTH-2*histogramWidget.PADDING:
self.canvas.itemconfig(self.toolTip, anchor="ne")
self.canvas.coords(self.toolTip,event.x-20,event.y)
if textBounds[3] >= HEIGHT-2*histogramWidget.PADDING:
self.canvas.itemconfig(self.toolTip, anchor="se")
elif textBounds[3] >= HEIGHT-2*histogramWidget.PADDING:
self.canvas.itemconfig(self.toolTip, anchor="sw")
# draw the box behind it
self.canvas.coords(self.toolTipBox,self.canvas.bbox(self.toolTip))
self.canvas.itemconfig(self.toolTipBox, state="normal")
