from kivy.uix.button import Button
from kivy.uix.popup import Popup
from kivy.uix.label import Label
from kivy.uix.boxlayout import BoxLayout
import threading
import time
class myApp(App):
def build(self):
self.btn = Button(text='Run')
self.btn.bind(on_press = self.open_popup)
self.box = BoxLayout()
self.box.add_widget(self.btn)
self.popup = Popup(title='',content=Label(text='Loading'))
return self.box
def open_popup(self, instance):
self.popup.open()
t = threading.Thread(target=self.do_stuff).start()
def do_stuff(self):
self.box.clear_widgets()
self.box.add_widget(MyGraph())
self.popup.dismiss()
################################################################################
#From Kivy-garden /garden.graph
from math import radians
from kivy.uix.widget import Widget
from kivy.uix.stencilview import StencilView
from kivy.properties import NumericProperty, BooleanProperty,\
BoundedNumericProperty, StringProperty, ListProperty, ObjectProperty,\
DictProperty, AliasProperty
from kivy.clock import Clock
from kivy.graphics import Mesh, Color, Rectangle
from kivy.graphics import Fbo
from kivy.graphics.transformation import Matrix
from kivy.graphics.texture import Texture
from kivy.event import EventDispatcher
from kivy.lang import Builder
from kivy import metrics
from math import log10, floor, ceil
np = None
def identity(x):
return x
def exp10(x):
return 10 ** x
Builder.load_string('''
#:kivy 1.1.0
<RotateLabel>:
canvas.before:
PushMatrix
MatrixInstruction:
matrix: self.transform
canvas.after:
PopMatrix
''')
class RotateLabel(Label):
transform = ObjectProperty(Matrix())
class Graph(Widget):
'''Graph class, see module documentation for more information.
'''
# triggers a full reload of graphics
_trigger = ObjectProperty(None)
# triggers only a repositioning of objects due to size/pos updates
_trigger_size = ObjectProperty(None)
# triggers only a update of colors, e.g. tick_color
_trigger_color = ObjectProperty(None)
# holds widget with the x-axis label
_xlabel = ObjectProperty(None)
# holds widget with the y-axis label
_ylabel = ObjectProperty(None)
# holds all the x-axis tick mark labels
_x_grid_label = ListProperty([])
# holds all the y-axis tick mark labels
_y_grid_label = ListProperty([])
# the mesh drawing all the ticks/grids
_mesh_ticks = ObjectProperty(None)
# the mesh which draws the surrounding rectangle
_mesh_rect = ObjectProperty(None)
# a list of locations of major and minor ticks. The values are not
# but is in the axis min - max range
_ticks_majorx = ListProperty([])
_ticks_minorx = ListProperty([])
_ticks_majory = ListProperty([])
_ticks_minory = ListProperty([])
tick_color = ListProperty([.25, .25, .25, 1])
'''Color of the grid/ticks, default to 1/4. grey.
'''
background_color = ListProperty([0, 0, 0, 0])
'''Color of the background, defaults to transparent
'''
border_color = ListProperty([1, 1, 1, 1])
'''Color of the border, defaults to white
'''
label_options = DictProperty()
'''Label options that will be passed to `:class:`kivy.uix.Label`.
'''
def __init__(self, **kwargs):
super(Graph, self).__init__(**kwargs)
with self.canvas:
self._fbo = Fbo(size=self.size, with_stencilbuffer=False)
with self._fbo:
self._background_color = Color(*self.background_color)
self._background_rect = Rectangle(size=self.size)
self._mesh_ticks_color = Color(*self.tick_color)
self._mesh_ticks = Mesh(mode='lines')
self._mesh_rect_color = Color(*self.border_color)
self._mesh_rect = Mesh(mode='line_strip')
with self.canvas:
Color(1, 1, 1)
self._fbo_rect = Rectangle(size=self.size, texture=self._fbo.texture)
mesh = self._mesh_rect
mesh.vertices = [0] * (5 * 4)
mesh.indices = range(5)
self._plot_area = StencilView()
self.add_widget(self._plot_area)
t = self._trigger = Clock.create_trigger(self._redraw_all)
ts = self._trigger_size = Clock.create_trigger(self._redraw_size)
tc = self._trigger_color = Clock.create_trigger(self._update_colors)
self.bind(center=ts, padding=ts, precision=ts, plots=ts, x_grid=ts,
y_grid=ts, draw_border=ts)
self.bind(xmin=t, xmax=t, xlog=t, x_ticks_major=t, x_ticks_minor=t,
xlabel=t, x_grid_label=t, ymin=t, ymax=t, ylog=t,
y_ticks_major=t, y_ticks_minor=t, ylabel=t, y_grid_label=t,
font_size=t, label_options=t)
self.bind(tick_color=tc, background_color=tc, border_color=tc)
self._trigger()
def add_widget(self, widget):
if widget is self._plot_area:
canvas = self.canvas
self.canvas = self._fbo
super(Graph, self).add_widget(widget)
if widget is self._plot_area:
self.canvas = canvas
def remove_widget(self, widget):
if widget is self._plot_area:
canvas = self.canvas
self.canvas = self._fbo
super(Graph, self).remove_widget(widget)
if widget is self._plot_area:
self.canvas = canvas
def _get_ticks(self, major, minor, log, s_min, s_max):
if major and s_max > s_min:
if log:
s_min = log10(s_min)
s_max = log10(s_max)
# count the decades in min - max. This is in actual decades,
# not logs.
n_decades = floor(s_max - s_min)
# for the fractional part of the last decade, we need to
# convert the log value, x, to 10**x but need to handle
# differently if the last incomplete decade has a decade
# boundary in it
if floor(s_min + n_decades) != floor(s_max):
n_decades += 1 - (10 ** (s_min + n_decades + 1) - 10 **
s_max) / 10 ** floor(s_max + 1)
else:
n_decades += ((10 ** s_max - 10 ** (s_min + n_decades)) /
10 ** floor(s_max + 1))
# this might be larger than what is needed, but we delete
# excess later
n_ticks_major = n_decades / float(major)
n_ticks = int(floor(n_ticks_major * (minor if minor >=
1. else 1.0))) + 2
# in decade multiples, e.g. 0.1 of the decade, the distance
# between ticks
decade_dist = major / float(minor if minor else 1.0)
points_minor = [0] * n_ticks
points_major = [0] * n_ticks
k = 0 # position in points major
k2 = 0 # position in points minor
# because each decade is missing 0.1 of the decade, if a tick
# falls in < min_pos skip it
min_pos = 0.1 - 0.00001 * decade_dist
s_min_low = floor(s_min)
# first real tick location. value is in fractions of decades
# from the start we have to use decimals here, otherwise
# floating point inaccuracies results in bad values
start_dec = ceil((10 ** Decimal(s_min - s_min_low - 1)) /
Decimal(decade_dist)) * decade_dist
count_min = (0 if not minor else
floor(start_dec / decade_dist) % minor)
start_dec += s_min_low
count = 0 # number of ticks we currently have passed start
while True:
# this is the current position in decade that we are.
# e.g. -0.9 means that we're at 0.1 of the 10**ceil(-0.9)
# decade
pos_dec = start_dec + decade_dist * count
pos_dec_low = floor(pos_dec)
diff = pos_dec - pos_dec_low
zero = abs(diff) < 0.001 * decade_dist
if zero:
# the same value as pos_dec but in log scale
pos_log = pos_dec_low
else:
pos_log = log10((pos_dec - pos_dec_low
) * 10 ** ceil(pos_dec))
if pos_log > s_max:
break
count += 1
if zero or diff >= min_pos:
if minor and not count_min % minor:
points_major[k] = pos_log
k += 1
else:
points_minor[k2] = pos_log
k2 += 1
count_min += 1
#n_ticks = len(points)
else:
# distance between each tick
tick_dist = major / float(minor if minor else 1.0)
n_ticks = int(floor((s_max - s_min) / tick_dist) + 1)
points_major = [0] * int(floor((s_max - s_min) / float(major))
+ 1)
points_minor = [0] * (n_ticks - len(points_major) + 1)
k = 0 # position in points major
k2 = 0 # position in points minor
for m in range(0, n_ticks):
if minor and m % minor:
points_minor[k2] = m * tick_dist + s_min
k2 += 1
else:
points_major[k] = m * tick_dist + s_min
k += 1
del points_major[k:]
del points_minor[k2:]
else:
points_major = []
points_minor = []
return points_major, points_minor
def _update_labels(self):
xlabel = self._xlabel
ylabel = self._ylabel
x = self.x
y = self.y
width = self.width
height = self.height
padding = self.padding
x_next = padding + x
y_next = padding + y
xextent = width + x
yextent = height + y
ymin = self.ymin
ymax = self.ymax
xmin = self.xmin
precision = self.precision
x_overlap = False
y_overlap = False
# set up x and y axis labels
if xlabel:
xlabel.text = self.xlabel
xlabel.texture_update()
xlabel.size = xlabel.texture_size
xlabel.color = [0,0,0,1] #### Label color and bold
xlabel.bold = True
xlabel.font_size = 28
xlabel.pos = int(x + width / 2. - xlabel.width / 2.), int(padding + y)
y_next += padding + xlabel.height
if ylabel:
ylabel.text = self.ylabel
ylabel.texture_update()
ylabel.size = ylabel.texture_size
ylabel.x = padding + x - (ylabel.width / 2. - ylabel.height / 2.)
x_next += padding + ylabel.height
xpoints = self._ticks_majorx
xlabels = self._x_grid_label
for i in range(len(xlabels)):
xlabels[i].color = [0,0,0,1]
xlabels[i].bold = True
xlabels[i].font_size = 24
xlabel_grid = self.x_grid_label
ylabel_grid = self.y_grid_label
ypoints = self._ticks_majory
ylabels = self._y_grid_label
# now x and y tick mark labels
if len(ylabels) and ylabel_grid:
# horizontal size of the largest tick label, to have enough room
funcexp = exp10 if self.ylog else identity
funclog = log10 if self.ylog else identity
ylabels[0].text = precision % funcexp(ypoints[0])
ylabels[0].texture_update()
y1 = ylabels[0].texture_size
y_start = y_next + (padding + y1[1] if len(xlabels) and xlabel_grid
else 0) + \
(padding + y1[1] if not y_next else 0)
yextent = y + height - padding - y1[1] / 2.
ymin = funclog(ymin)
ratio = (yextent - y_start) / float(funclog(ymax) - ymin)
y_start -= y1[1] / 2.
y1 = y1[0]
for k in range(len(ylabels)):
ylabels[k].text = precision % funcexp(ypoints[k])
ylabels[k].texture_update()
ylabels[k].size = ylabels[k].texture_size
y1 = max(y1, ylabels[k].texture_size[0])
ylabels[k].pos = tuple(map(int, (x_next, y_start +
(ypoints[k] - ymin) * ratio)))
if len(ylabels) > 1 and ylabels[0].top > ylabels[1].y:
y_overlap = True
else:
x_next += y1 + padding
if len(xlabels) and xlabel_grid:
funcexp = exp10 if self.xlog else identity
funclog = log10 if self.xlog else identity
# find the distance from the end that'll fit the last tick label
xlabels[0].text = precision % funcexp(xpoints[-1])
xlabels[0].texture_update()
xextent = x + width - xlabels[0].texture_size[0] / 2. - padding
# find the distance from the start that'll fit the first tick label
if not x_next:
xlabels[0].text = precision % funcexp(xpoints[0])
xlabels[0].texture_update()
x_next = padding + xlabels[0].texture_size[0] / 2.
xmin = funclog(xmin)
ratio = (xextent - x_next) / float(funclog(self.xmax) - xmin)
right = -1
for k in range(len(xlabels)):
xlabels[k].text = precision % funcexp(xpoints[k])
# update the size so we can center the labels on ticks
xlabels[k].texture_update()
xlabels[k].size = xlabels[k].texture_size
xlabels[k].pos = tuple(map(int, (x_next + (xpoints[k] - xmin)
* ratio - xlabels[k].texture_size[0] / 2., y_next)))
if xlabels[k].x < right:
x_overlap = True
break
right = xlabels[k].right
if not x_overlap:
y_next += padding + xlabels[0].texture_size[1]
# now re-center the x and y axis labels
if xlabel:
xlabel.x = int(x_next + (xextent - x_next) / 2. - xlabel.width / 2.)
if ylabel:
ylabel.y = int(y_next + (yextent - y_next) / 2. - ylabel.height / 2.)
t = Matrix().translate(ylabel.center[0], ylabel.center[1], 0)
t = t.multiply(Matrix().rotate(-radians(270), 0, 0, 1))
ylabel.transform = t.multiply(
Matrix().translate(
-int(ylabel.center_x),
-int(ylabel.center_y),
0))
if x_overlap:
for k in range(len(xlabels)):
xlabels[k].text = ''
if y_overlap:
for k in range(len(ylabels)):
ylabels[k].text = ''
return x_next - x, y_next - y, xextent - x, yextent - y
def _update_ticks(self, size):
# re-compute the positions of the bounding rectangle
mesh = self._mesh_rect
vert = mesh.vertices
if self.draw_border:
s0, s1, s2, s3 = size
vert[0] = s0
vert[1] = s1
vert[4] = s2
vert[5] = s1
vert[8] = s2
vert[9] = s3
vert[12] = s0
vert[13] = s3
vert[16] = s0
vert[17] = s1
else:
vert[0:18] = [0 for k in range(18)]
mesh.vertices = vert
# re-compute the positions of the x/y axis ticks
mesh = self._mesh_ticks
vert = mesh.vertices
start = 0
xpoints = self._ticks_majorx
ypoints = self._ticks_majory
xpoints2 = self._ticks_minorx
ypoints2 = self._ticks_minory
ylog = self.ylog
xlog = self.xlog
xmin = self.xmin
xmax = self.xmax
if xlog:
xmin = log10(xmin)
xmax = log10(xmax)
ymin = self.ymin
ymax = self.ymax
if ylog:
xmin = log10(ymin)
ymax = log10(ymax)
if len(xpoints):
top = size[3] if self.x_grid else metrics.dp(12) + size[1]
ratio = (size[2] - size[0]) / float(xmax - xmin)
for k in range(start, len(xpoints) + start):
vert[k * 8] = size[0] + (xpoints[k - start] - xmin) * ratio
vert[k * 8 + 1] = size[1]
vert[k * 8 + 4] = vert[k * 8]
vert[k * 8 + 5] = top
start += len(xpoints)
if len(xpoints2):
top = metrics.dp(8) + size[1]
ratio = (size[2] - size[0]) / float(xmax - xmin)
for k in range(start, len(xpoints2) + start):
vert[k * 8] = size[0] + (xpoints2[k - start] - xmin) * ratio
vert[k * 8 + 1] = size[1]
vert[k * 8 + 4] = vert[k * 8]
vert[k * 8 + 5] = top
start += len(xpoints2)
if len(ypoints):
top = size[2] if self.y_grid else metrics.dp(12) + size[0]
ratio = (size[3] - size[1]) / float(ymax - ymin)
for k in range(start, len(ypoints) + start):
vert[k * 8 + 1] = size[1] + (ypoints[k - start] - ymin) * ratio
vert[k * 8 + 5] = vert[k * 8 + 1]
vert[k * 8] = size[0]
vert[k * 8 + 4] = top
start += len(ypoints)
if len(ypoints2):
top = metrics.dp(8) + size[0]
ratio = (size[3] - size[1]) / float(ymax - ymin)
for k in range(start, len(ypoints2) + start):
vert[k * 8 + 1] = size[1] + (ypoints2[k - start] - ymin) * ratio
vert[k * 8 + 5] = vert[k * 8 + 1]
vert[k * 8] = size[0]
vert[k * 8 + 4] = top
mesh.vertices = vert
def _update_plots(self, size):
ylog = self.ylog
xlog = self.xlog
xmin = self.xmin
xmax = self.xmax
ymin = self.ymin
ymax = self.ymax
for plot in self.plots:
plot._update(xlog, xmin, xmax, ylog, ymin, ymax, size)
def _update_colors(self, *args):
self._mesh_ticks_color.rgba = tuple(self.tick_color)
self._background_color.rgba = tuple(self.background_color)
self._mesh_rect_color.rgba = tuple(self.border_color)
def _redraw_all(self, *args):
# add/remove all the required labels
font_size = self.font_size
if self.xlabel:
if not self._xlabel:
xlabel = Label(font_size=font_size, **self.label_options)
self.add_widget(xlabel)
self._xlabel = xlabel
else:
xlabel = self._xlabel
if xlabel:
self.remove_widget(xlabel)
self._xlabel = None
grids = self._x_grid_label
xpoints_major, xpoints_minor = self._get_ticks(self.x_ticks_major,
self.x_ticks_minor,
self.xlog, self.xmin,
self.xmax)
self._ticks_majorx = xpoints_major
self._ticks_minorx = xpoints_minor
if not self.x_grid_label:
n_labels = 0
else:
n_labels = len(xpoints_major)
for k in range(n_labels, len(grids)):
self.remove_widget(grids[k])
del grids[n_labels:]
grid_len = len(grids)
grids.extend([None] * (n_labels - len(grids)))
for k in range(grid_len, n_labels):
grids[k] = Label(font_size=font_size, **self.label_options)
self.add_widget(grids[k])
if self.ylabel:
if not self._ylabel:
ylabel = RotateLabel(font_size=font_size, **self.label_options)
self.add_widget(ylabel)
self._ylabel = ylabel
else:
ylabel = self._ylabel
if ylabel:
self.remove_widget(ylabel)
self._ylabel = None
grids = self._y_grid_label
ypoints_major, ypoints_minor = self._get_ticks(self.y_ticks_major,
self.y_ticks_minor,
self.ylog, self.ymin,
self.ymax)
self._ticks_majory = ypoints_major
self._ticks_minory = ypoints_minor
if not self.y_grid_label:
n_labels = 0
else:
n_labels = len(ypoints_major)
for k in range(n_labels, len(grids)):
self.remove_widget(grids[k])
del grids[n_labels:]
grid_len = len(grids)
grids.extend([None] * (n_labels - len(grids)))
for k in range(grid_len, n_labels):
grids[k] = Label(font_size=font_size, **self.label_options)
self.add_widget(grids[k])
mesh = self._mesh_ticks
n_points = (len(xpoints_major) + len(xpoints_minor) +
len(ypoints_major) + len(ypoints_minor))
mesh.vertices = [0] * (n_points * 8)
mesh.indices = [k for k in range(n_points * 2)]
self._redraw_size()
def _redraw_size(self, *args):
# size a 4-tuple describing the bounding box in which we can draw
# graphs, it's (x0, y0, x1, y1), which correspond with the bottom left
# and top right corner locations, respectively
size = self._update_labels()
self._plot_area.pos = (size[0], size[1])
self._plot_area.size = (size[2] - size[0], size[3] - size[1])
self._fbo.size = self.size
self._fbo_rect.texture = self._fbo.texture
self._fbo_rect.size = self.size
self._fbo_rect.pos = self.pos
self._background_rect.size = self.size
self._update_ticks(size)
self._update_plots(size)
def _clear_buffer(self, *largs):
fbo = self._fbo
fbo.bind()
fbo.clear_buffer()
fbo.release()
def add_plot(self, plot):
'''Add a new plot to this graph.
:Parameters:
`plot`:
Plot to add to this graph.
>>> graph = Graph()
>>> plot = MeshLinePlot(mode='line_strip', color=[1, 0, 0, 1])
>>> plot.points = [(x / 10., sin(x / 50.)) for x in range(-0, 101)]
>>> graph.add_plot(plot)
'''
if plot in self.plots:
return
add = self._plot_area.canvas.add
for instr in plot.get_drawings():
add(instr)
plot.bind(on_clear_plot=self._clear_buffer)
self.plots.append(plot)
def remove_plot(self, plot):
'''Remove a plot from this graph.
:Parameters:
`plot`:
Plot to remove from this graph.
>>> graph = Graph()
>>> plot = MeshLinePlot(mode='line_strip', color=[1, 0, 0, 1])
>>> plot.points = [(x / 10., sin(x / 50.)) for x in range(-0, 101)]
>>> graph.add_plot(plot)
>>> graph.remove_plot(plot)
'''
if plot not in self.plots:
return
remove = self._plot_area.canvas.remove
for instr in plot.get_drawings():
remove(instr)
plot.unbind(on_clear_plot=self._clear_buffer)
self.plots.remove(plot)
def collide_plot(self, x, y):
'''Determine if the given coordinates fall inside the plot area.
:Parameters:
`x, y`:
The coordinates to test (in window coords).
'''
adj_x, adj_y = x - self._plot_area.pos[0], y - self._plot_area.pos[1]
return 0 <= adj_x <= self._plot_area.size[0] \
and 0 <= adj_y <= self._plot_area.size[1]
def to_data(self, x, y):
'''Convert window coords to data coords.
:Parameters:
`x, y`:
The coordinates to convert (in window coords).
'''
adj_x = float(x - self._plot_area.pos[0])
adj_y = float(y - self._plot_area.pos[1])
norm_x = adj_x / self._plot_area.size[0]
norm_y = adj_y / self._plot_area.size[1]
if self.xlog:
xmin, xmax = log10(self.xmin), log10(self.xmax)
conv_x = 10.**(norm_x * (xmax - xmin) + xmin)
else:
conv_x = norm_x * (self.xmax - self.xmin) + self.xmin
if self.ylog:
ymin, ymax = log10(self.ymin), log10(self.ymax)
conv_y = 10.**(norm_y * (ymax - ymin) + ymin)
else:
conv_y = norm_y * (self.ymax - self.ymin) + self.ymin
return [conv_x, conv_y]
xmin = NumericProperty(0.)
'''The x-axis minimum value.
If :data:`xlog` is True, xmin must be larger than zero.
:data:`xmin` is a :class:`~kivy.properties.NumericProperty`, defaults to 0.
'''
xmax = NumericProperty(100.)
'''The x-axis maximum value, larger than xmin.
:data:`xmax` is a :class:`~kivy.properties.NumericProperty`, defaults to 0.
'''
xlog = BooleanProperty(False)
'''Determines whether the x-axis should be displayed logarithmically (True)
or linearly (False).
:data:`xlog` is a :class:`~kivy.properties.BooleanProperty`, defaults
to False.
'''
x_ticks_major = BoundedNumericProperty(0, min=0)
'''Distance between major tick marks on the x-axis.
Determines the distance between the major tick marks. Major tick marks
start from min and re-occur at every ticks_major until :data:`xmax`.
If :data:`xmax` doesn't overlap with a integer multiple of ticks_major,
no tick will occur at :data:`xmax`. Zero indicates no tick marks.
If :data:`xlog` is true, then this indicates the distance between ticks
in multiples of current decade. E.g. if :data:`xmin` is 0.1 and
ticks_major is 0.1, it means there will be a tick at every 10th of the
decade, i.e. 0.1 ... 0.9, 1, 2... If it is 0.3, the ticks will occur at
0.1, 0.3, 0.6, 0.9, 2, 5, 8, 10. You'll notice that it went from 8 to 10
instead of to 20, that's so that we can say 0.5 and have ticks at every
half decade, e.g. 0.1, 0.5, 1, 5, 10, 50... Similarly, if ticks_major is
1.5, there will be ticks at 0.1, 5, 100, 5,000... Also notice, that there's
always a major tick at the start. Finally, if e.g. :data:`xmin` is 0.6
and this 0.5 there will be ticks at 0.6, 1, 5...
:data:`x_ticks_major` is a
:class:`~kivy.properties.BoundedNumericProperty`, defaults to 0.
'''
x_ticks_minor = BoundedNumericProperty(0, min=0)
'''The number of sub-intervals that divide x_ticks_major.
Determines the number of sub-intervals into which ticks_major is divided,
if non-zero. The actual number of minor ticks between the major ticks is
ticks_minor - 1. Only used if ticks_major is non-zero. If there's no major
tick at xmax then the number of minor ticks after the last major
tick will be however many ticks fit until xmax.
If self.xlog is true, then this indicates the number of intervals the
distance between major ticks is divided. The result is the number of
multiples of decades between ticks. I.e. if ticks_minor is 10, then if
ticks_major is 1, there will be ticks at 0.1, 0.2...0.9, 1, 2, 3... If
ticks_major is 0.3, ticks will occur at 0.1, 0.12, 0.15, 0.18... Finally,
as is common, if ticks major is 1, and ticks minor is 5, there will be
ticks at 0.1, 0.2, 0.4... 0.8, 1, 2...
:data:`x_ticks_minor` is a
:class:`~kivy.properties.BoundedNumericProperty`, defaults to 0.
'''
x_grid = BooleanProperty(False)
'''Determines whether the x-axis has tick marks or a full grid.
If :data:`x_ticks_major` is non-zero, then if x_grid is False tick marks
will be displayed at every major tick. If x_grid is True, instead of ticks,
a vertical line will be displayed at every major tick.
:data:`x_grid` is a :class:`~kivy.properties.BooleanProperty`, defaults
to False.
'''
x_grid_label = BooleanProperty(False)
'''Whether labels should be displayed beneath each major tick. If true,
each major tick will have a label containing the axis value.
:data:`x_grid_label` is a :class:`~kivy.properties.BooleanProperty`,
defaults to False.
'''
xlabel = StringProperty('')
'''The label for the x-axis. If not empty it is displayed in the center of
the axis.
:data:`xlabel` is a :class:`~kivy.properties.StringProperty`,
defaults to ''.
'''
ymin = NumericProperty(0.)
'''The y-axis minimum value.
If :data:`ylog` is True, ymin must be larger than zero.
:data:`ymin` is a :class:`~kivy.properties.NumericProperty`, defaults to 0.
'''
ymax = NumericProperty(100.)
'''The y-axis maximum value, larger than ymin.
:data:`ymax` is a :class:`~kivy.properties.NumericProperty`, defaults to 0.
'''
ylog = BooleanProperty(False)
'''Determines whether the y-axis should be displayed logarithmically (True)
or linearly (False).
:data:`ylog` is a :class:`~kivy.properties.BooleanProperty`, defaults
to False.
'''
y_ticks_major = BoundedNumericProperty(0, min=0)
'''Distance between major tick marks. See :data:`x_ticks_major`.
:data:`y_ticks_major` is a
:class:`~kivy.properties.BoundedNumericProperty`, defaults to 0.
'''
y_ticks_minor = BoundedNumericProperty(0, min=0)
'''The number of sub-intervals that divide ticks_major.
See :data:`x_ticks_minor`.
:data:`y_ticks_minor` is a
:class:`~kivy.properties.BoundedNumericProperty`, defaults to 0.
'''
y_grid = BooleanProperty(False)
'''Determines whether the y-axis has tick marks or a full grid. See
:data:`x_grid`.
:data:`y_grid` is a :class:`~kivy.properties.BooleanProperty`, defaults
to False.
'''
y_grid_label = BooleanProperty(False)
'''Whether labels should be displayed beneath each major tick. If true,
each major tick will have a label containing the axis value.
:data:`y_grid_label` is a :class:`~kivy.properties.BooleanProperty`,
defaults to False.
'''
ylabel = StringProperty('')
'''The label for the y-axis. If not empty it is displayed in the center of
the axis.
:data:`ylabel` is a :class:`~kivy.properties.StringProperty`,
defaults to ''.
'''
padding = NumericProperty('5dp')
'''Padding distances between the labels, axes titles and graph, as
well between the widget and the objects near the boundaries.
:data:`padding` is a :class:`~kivy.properties.NumericProperty`, defaults
to 5dp.
'''
font_size = NumericProperty('15sp')
'''Font size of the labels.
:data:`font_size` is a :class:`~kivy.properties.NumericProperty`, defaults
to 15sp.
'''
precision = StringProperty('%g')
'''Determines the numerical precision of the tick mark labels. This value
governs how the numbers are converted into string representation. Accepted
values are those listed in Python's manual in the
"String Formatting Operations" section.
:data:`precision` is a :class:`~kivy.properties.StringProperty`, defaults
to '%g'.
'''
draw_border = BooleanProperty(True)
'''Whether a border is drawn around the canvas of the graph where the
plots are displayed.
:data:`draw_border` is a :class:`~kivy.properties.BooleanProperty`,
defaults to True.
'''
plots = ListProperty([])
'''Holds a list of all the plots in the graph. To add and remove plots
from the graph use :data:`add_plot` and :data:`add_plot`. Do not add
directly edit this list.
:data:`plots` is a :class:`~kivy.properties.ListProperty`,
defaults to [].
'''
class Plot(EventDispatcher):
'''Plot class, see module documentation for more information.
:Events:
`on_clear_plot`
Fired before a plot updates the display and lets the fbo know that
it should clear the old drawings.
..versionadded:: 0.4
'''
__events__ = ('on_clear_plot', )
# most recent values of the params used to draw the plot
params = DictProperty({'xlog': False, 'xmin': 0, 'xmax': 100,
'ylog': False, 'ymin': 0, 'ymax': 100,
'size': (0, 0, 0, 0)})
color = ListProperty([1, 1, 1, 1])
'''Color of the plot.
'''
points = ListProperty([])
'''List of (x, y) points to be displayed in the plot.
The elements of points are 2-tuples, (x, y). The points are displayed
based on the mode setting.
:data:`points` is a :class:`~kivy.properties.ListProperty`, defaults to
[].
'''
def __init__(self, **kwargs):
super(Plot, self).__init__(**kwargs)
self.ask_draw = Clock.create_trigger(self.draw)
self.bind(params=self.ask_draw, points=self.ask_draw)
self._drawings = self.create_drawings()
# this function is called by graph whenever any of the parameters
# change. The plot should be recalculated then.
# log, min, max indicate the axis settings.
# size a 4-tuple describing the bounding box in which we can draw
# graphs, it's (x0, y0, x1, y1), which correspond with the bottom left
# and top right corner locations, respectively.
def update(self, xlog, xmin, xmax, ylog, ymin, ymax, size):
self.params.update({
'xlog': xlog, 'xmin': xmin, 'xmax': xmax, 'ylog': ylog,
'ymin': ymin, 'ymax': ymax, 'size': size})
# returns a string which is unique and is the group name given to all the
# instructions returned by _get_drawings. Graph uses this to remove
# these instructions when needed.
def get_group(self):
return ''
# returns a list of canvas instructions that will be added to the graph's
# canvas.
def get_drawings(self):
if isinstance(self._drawings, (tuple, list)):
return self._drawings
return []
# method called once to create all the canvas instructions needed for the
# plot
def create_drawings(self):
pass
# draw the plot according to the params. It dispatches on_clear_plot
# so derived classes should call super before updating.
def draw(self, *largs):
self.dispatch('on_clear_plot')
def iterate_points(self):
'''Iterate on all the points adjusted to the graph settings
'''
params = self._params
funcx = log10 if params['xlog'] else lambda x: x
funcy = log10 if params['ylog'] else lambda x: x
xmin = funcx(params['xmin'])
ymin = funcy(params['ymin'])
size = params['size']
ratiox = (size[2] - size[0]) / float(funcx(params['xmax']) - xmin)
ratioy = (size[3] - size[1]) / float(funcy(params['ymax']) - ymin)
for x, y in self.points:
yield (
(funcx(x) - xmin) * ratiox + size[0],
(funcy(y) - ymin) * ratioy + size[1])
def on_clear_plot(self, *largs):
pass
# compatibility layer
_update = update
_get_drawings = get_drawings
_params = params
class LinePlot(Plot):
'''LinePlot draws using a standard Line object.
'''
'''Args:
line_width (float) - the width of the graph line
'''
def __init__(self, **kwargs):
self._line_width = kwargs.get('line_width', 1)
super(LinePlot, self).__init__(**kwargs)
def create_drawings(self):
from kivy.graphics import Line, RenderContext
self._grc = RenderContext(
use_parent_modelview=True,
use_parent_projection=True)
with self._grc:
self._gcolor = Color(*self.color)
self._gline = Line(points=[], cap='none', width=self._line_width, joint='round')
return [self._grc]
def draw(self, *args):
super(LinePlot, self).draw(*args)
# flatten the list
points = []
for x, y in self.iterate_points():
points += [x, y]
self._gline.points = points
################################################################################
class MyGraph(Graph):
def __init__(self):
super(MyGraph, self).__init__()
plot_points = []
for i in range(1000):
plot_points.append((i, i))
self.plot = LinePlot(points=plot_points, color=[0,.5,0,1], line_width=3)
self.add_plot(self.plot)
if __name__ == '__main__':
myApp().run()