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# -*- coding: latin-1 -*-
"""
simpleplot (November 1st, 2013)
Replace the simpleplot module of CodeSkulptor.
Require matplotlib_
(`Unofficial Windows Binaries`_)
(and must be installed separately).
Piece of SimpleGUICS2Pygame.
https://bitbucket.org/OPiMedia/simpleguics2pygame
GPLv3 --- Copyright (C) 2013 Olivier Pirson
http://www.opimedia.be/
.. _matplotlib: http://matplotlib.org/
.. _`Unofficial Windows Binaries`: http://www.lfd.uci.edu/~gohlke/pythonlibs/#matplotlib
"""
try
:
import
matplotlib
.
pyplot
except
Exception
as
e
:
import
os
if
os
.
environ
.
get
(
'READTHEDOCS'
,
None
)
!=
'True'
:
raise
Exception
(
'matplotlib not installed! '
+
str
(
e
))
#
# Private global constant
##########################
_COLORS
=
(
'#edc240'
,
'#afd8f8'
,
'#cb4b4b'
,
'#4da74d'
,
'#9440ed'
,
'#bd9b33'
,
'#8cacc6'
,
'#a23c3c'
,
'#3d853d'
,
'#7633bd'
,
'#ffe84c'
,
'#d2ffff'
,
'#f35a5a'
,
'#5cc85c'
,
'#b14cff'
,
'#8e7426'
,
'#698194'
,
'#792d2d'
,
'#2e642e'
,
'#58268e'
,
'#ffff59'
,
'#f4ffff'
,
'#ff6969'
,
'#6be96b'
,
'#cf59ff'
,
'#5e4d19'
,
'#455663'
,
'#511d1d'
,
'#1e421e'
,
'#3b195e'
,
'#ffff66'
,
'#ffffff'
)
"""
Color used for each graph.
**(Not available in SimpleGUI of CodeSkulptor.)**
"""
#
# Functions
############
def
_block
():
"""
If some plot windows are open
then block the program until closing all windows.
**(Not available in SimpleGUI of CodeSkulptor.)**
"""
matplotlib
.
pyplot
.
show
()
def
plot_bars
(
framename
,
width
,
height
,
xlabel
,
ylabel
,
datasets
,
legends
=
None
,
_block
=
False
,
_filename
=
None
):
"""
Open a window titled `framename`
and plot graphes with `datasets` data.
`xlabel` and `ylabel` are labels of x-axis and y-axis.
`datasets` must be a sequence of data.
Each data must be:
* Sequence of pair x, y.
Each point (x, y) is represented by a vertical bar of height y.
* Or dict x: y.
Each point (x, y) is represented by a vertical bar of height y.
If `legends` is not None
then it must be a sequence of legend of each graph.
If `_block`
then block the program until closing the window
else continue and close the window when program stop.
**(Option not available in SimpleGUI of CodeSkulptor.)**
If `_filename` is not None
then save the image to this file.
**(Option not available in SimpleGUI of CodeSkulptor.)**
:param framename: str
:param width: int > 0
:param height: int > 0
:param xlabel: str
:param ylabel: str
:param datasets: (list or tuple)
of (((list or tuple) of ([int or float, int or float]
or (int or float, int or float)))
or (dict (int or float): (int or float)))
:param legends: None or ((list or tuple) of same length as datasets)
:param _block: False
:param _filename: None or str
"""
assert
isinstance
(
framename
,
str
),
type
(
framename
)
assert
isinstance
(
width
,
int
),
type
(
width
)
assert
width
>
0
,
width
assert
isinstance
(
height
,
int
),
type
(
height
)
assert
height
>
0
,
height
assert
isinstance
(
xlabel
,
str
),
type
(
xlabel
)
assert
isinstance
(
ylabel
,
str
),
type
(
ylabel
)
assert
isinstance
(
datasets
,
list
)
or
isinstance
(
datasets
,
tuple
), \
type
(
datasets
)
if
__debug__
:
for
dataset
in
datasets
:
assert
isinstance
(
dataset
,
list
)
or
isinstance
(
dataset
,
tuple
) \
or
isinstance
(
dataset
,
dict
),
type
(
datasets
)
for
x
,
y
in
(
dataset
.
items
()
if
isinstance
(
dataset
,
dict
)
else
dataset
):
assert
isinstance
(
x
,
int
)
or
isinstance
(
x
,
float
), (
type
(
x
),
x
)
assert
isinstance
(
y
,
int
)
or
isinstance
(
y
,
float
), (
type
(
y
),
y
)
assert
((
legends
is
None
)
or
isinstance
(
legends
,
list
)
or
isinstance
(
legends
,
tuple
)),
type
(
legends
)
assert
(
legends
is
None
)
or
(
len
(
legends
)
==
len
(
datasets
)),
legends
assert
isinstance
(
_block
,
bool
),
type
(
_block
)
assert
(
_filename
is
None
)
or
isinstance
(
_filename
,
str
),
type
(
_filename
)
fig
=
matplotlib
.
pyplot
.
figure
()
fig
.
set_size_inches
(
width
//
fig
.
get_dpi
(),
height
//
fig
.
get_dpi
(),
forward
=
True
)
fig
.
canvas
.
set_window_title
(
framename
)
matplotlib
.
pyplot
.
title
(
framename
)
from
os
.
path
import
sep
icon_path
=
__file__
.
split
(
sep
)[:
-
1
]
try
:
icon_path
.
extend
((
'_img'
,
'SimpleGUICS2Pygame_32x32.ico'
))
matplotlib
.
pyplot
.
get_current_fig_manager
().
window
.
wm_iconbitmap
(
sep
.
join
(
icon_path
))
except
:
pass
matplotlib
.
pyplot
.
xlabel
(
xlabel
)
matplotlib
.
pyplot
.
ylabel
(
ylabel
)
matplotlib
.
pyplot
.
grid
()
bar_width
=
0.8
/
len
(
datasets
)
for
i
,
dataset
in
enumerate
(
datasets
):
bar_lefts
,
bar_heights
=
zip
(
*
(
sorted
(
dataset
.
items
())
if
isinstance
(
dataset
,
dict
)
else
dataset
))
matplotlib
.
pyplot
.
bar
([
x
+
bar_width
*
i
for
x
in
bar_lefts
],
bar_heights
,
width
=
bar_width
,
color
=
_COLORS
[
i
%
len
(
_COLORS
)],
edgecolor
=
_COLORS
[
i
%
len
(
_COLORS
)],
figure
=
fig
,
alpha
=
0.5
)
ymin
,
ymax
=
matplotlib
.
pyplot
.
ylim
()
matplotlib
.
pyplot
.
ylim
(
ymin
,
ymax
+
1
)
if
legends
is
not
None
:
matplotlib
.
pyplot
.
legend
(
legends
,
loc
=
'upper right'
)
matplotlib
.
pyplot
.
show
(
block
=
_block
)
if
_filename
is
not
None
:
matplotlib
.
pyplot
.
savefig
(
_filename
)
def
plot_lines
(
framename
,
width
,
height
,
xlabel
,
ylabel
,
datasets
,
points
=
False
,
legends
=
None
,
_block
=
False
,
_filename
=
None
):
"""
Open a window titled `framename`
and plot graphes with `datasets` data.
`xlabel` and `ylabel` are labels of x-axis and y-axis.
`datasets` must be a sequence of data.
Each data must be:
* Sequence of pair x, y.
Each point (x, y) is plotted (in given order)
and connected with line to previous and next points.
* Or dict x: y.
Each point (x, y) is plotted (in ascending order of x value)
and connected with line to previous and next points.
If `points`
then each point is highlighted by a small disc
(a small circle in CodeSkulptor).
If `legends` is not None
then it must be a sequence of legend of each graph.
If `_block`
then block the program until closing the window
else continue and close the window when program stop.
**(Option not available in SimpleGUI of CodeSkulptor.)**
If `_filename` is not None
then save the image to this file.
**(Option not available in SimpleGUI of CodeSkulptor.)**
:param framename: str
:param width: int > 0
:param height: int > 0
:param xlabel: str
:param ylabel: str
:param datasets: (list or tuple)
of (((list or tuple) of ([int or float, int or float]
or (int or float, int or float)))
or (dict (int or float): (int or float)))
:param points: bool
:param legends: None or ((list or tuple) of same length as datasets)
:param _block: False
:param _filename: None or str
"""
assert
isinstance
(
framename
,
str
),
type
(
framename
)
assert
isinstance
(
width
,
int
),
type
(
width
)
assert
width
>
0
,
width
assert
isinstance
(
height
,
int
),
type
(
height
)
assert
height
>
0
,
height
assert
isinstance
(
xlabel
,
str
),
type
(
xlabel
)
assert
isinstance
(
ylabel
,
str
),
type
(
ylabel
)
assert
isinstance
(
datasets
,
list
)
or
isinstance
(
datasets
,
tuple
), \
type
(
datasets
)
if
__debug__
:
for
dataset
in
datasets
:
assert
isinstance
(
dataset
,
list
)
or
isinstance
(
dataset
,
tuple
) \
or
isinstance
(
dataset
,
dict
),
type
(
datasets
)
for
x
,
y
in
(
dataset
.
items
()
if
isinstance
(
dataset
,
dict
)
else
dataset
):
assert
isinstance
(
x
,
int
)
or
isinstance
(
x
,
float
), (
type
(
x
),
x
)
assert
isinstance
(
y
,
int
)
or
isinstance
(
y
,
float
), (
type
(
y
),
y
)
assert
isinstance
(
points
,
bool
),
type
(
points
)
assert
((
legends
is
None
)
or
isinstance
(
legends
,
list
)
or
isinstance
(
legends
,
tuple
)),
type
(
legends
)
assert
(
legends
is
None
)
or
(
len
(
legends
)
==
len
(
datasets
)),
legends
assert
isinstance
(
_block
,
bool
),
type
(
_block
)
assert
(
_filename
is
None
)
or
isinstance
(
_filename
,
str
),
type
(
_filename
)
fig
=
matplotlib
.
pyplot
.
figure
()
fig
.
set_size_inches
(
width
//
fig
.
get_dpi
(),
height
//
fig
.
get_dpi
(),
forward
=
True
)
fig
.
canvas
.
set_window_title
(
framename
)
matplotlib
.
pyplot
.
title
(
framename
)
from
os
.
path
import
sep
icon_path
=
__file__
.
split
(
sep
)[:
-
1
]
try
:
icon_path
.
extend
((
'_img'
,
'SimpleGUICS2Pygame_32x32.ico'
))
matplotlib
.
pyplot
.
get_current_fig_manager
().
window
.
wm_iconbitmap
(
sep
.
join
(
icon_path
))
except
:
pass
matplotlib
.
pyplot
.
xlabel
(
xlabel
)
matplotlib
.
pyplot
.
ylabel
(
ylabel
)
matplotlib
.
pyplot
.
grid
()
for
i
,
dataset
in
enumerate
(
datasets
):
matplotlib
.
pyplot
.
plot
(
*
zip
(
*
(
sorted
(
dataset
.
items
())
if
isinstance
(
dataset
,
dict
)
else
dataset
)),
color
=
_COLORS
[
i
%
len
(
_COLORS
)],
figure
=
fig
,
marker
=
(
'o'
if
points
else
None
))
ymin
,
ymax
=
matplotlib
.
pyplot
.
ylim
()
matplotlib
.
pyplot
.
ylim
(
ymin
-
1
,
ymax
+
1
)
if
legends
is
not
None
:
matplotlib
.
pyplot
.
legend
(
legends
,
loc
=
'upper right'
)
matplotlib
.
pyplot
.
show
(
block
=
_block
)
if
_filename
is
not
None
:
matplotlib
.
pyplot
.
savefig
(
_filename
)
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