matplotlib Code

550 lines (544 with data), 10.3 kB

y
plot([1,2,3])\
hist(randn(10000), 100)
import numarray
import Numeric
import Tkinter
plot([1,2,3])
cd 3d/ 
ls
run mplot3d.py
run surface.py
cd tex/talks/scipy05/examples/ 
ls
run animate_circles.py 
ls
pwd
cd talk/examples/ 
ls
cd 3d/ 
run surface.py
cd /Users/jdhunter/python/projects/matplotlib/examples
run simple_plot.py
run image_demo.py 
type image_demo.py 
cat image_demo.py
contour(X,Y,Z,levels=7)
run image_demo.py 
contour(X,Y,Z,levels=7)
whos
Z = Z2-Z1
contour(X,Y,Z,levels=7)
set(_, linewidths=(8,)
)
setp(_, linewidths=(8,))
_oh
levels, colls = _oh[5]
setp(colls, linewidths=3)
setp(colls, linewidth=3)
help colormap
hot
gray
close
run image_demo.py 
contour(X,Y,Z,levels=7)
hot
axes.collections
a = gca()
a.collections
a.collections = []
draw()
levs, colls = contour(X,Y,Z,levels=7)
setp(colls, linewidth=3)
setp(colls, linestyle='--')
setp(colls, linestyle='dashed')
jet
jet??
bg?
color?
ax = plot(rand(100), rand(100))
ax = subplot(111)
line, = plot(rand(100), rand(100), 'go')
clf
markers, = plot(rand(100), rand(100), 'go')
clf
markers, = plot(rand(100)-.5, rand(100)-.5, 'go')
line, = plot([0,0], [0,1], animated=True)
axis([-.5,.5,-.5,.5])
ax.set_autoscale_on(False)
canvas = ax.figure.canvas
for i in range(100):
    theta = i/100.*2*pi
    x = cos(theta)
    y = sin(theta)
    canvas.restore_region(bg)
    line.set_data([0,x].[0,y])
for i in range(100):
    theta = i/100.*2*pi
    x = cos(theta)
    y = sin(theta)
    canvas.restore_region(bg)
    line.set_data([0,x], [0,y])
    ax.draw_artist(line)
    canvas.blit(bbox)
    
bc = canvas.copy_from_bbox(ax.bbox)
bg = canvas.copy_from_bbox(ax.bbox)
bg
for i in range(100):
    theta = i/100.*2*pi
    x, y = cos(theta), sin(theta)
    canvas.blit(bbox)
    canvas.restore_region(bg)
    line.set_data([0,x], [0,y])
    ax.draw_artist(line)
    canvas.blit(bbox)
    
for i in range(100):
    x, y = cos(theta), sin(theta)
    canvas.restore_region(bg)
    line.set_data([0,x], [0,y])
    ax.draw_artist(line)
    canvas.blit(ax.bbox)
    
canvas.restore_region(bg)
canvas.blit(ax.bbox)
for i in range(100):
    theta = i/100.*2*pi
    x, y = cos(theta), sin(theta)
    canvas.restore_region(bg)
    line.set_data([0,x], [0,y])
    ax.draw_artist(line)
    canvas.blit(ax.bbox)
    
logging
cd python/projects/matplotlib/examples/ 
cd /Users/jdhunter/talk/examples/ 
run rotate.py
run rotate_gui.py
run wireframe.p
run wireframe.py
run surface.py
run scatter3.py
def move(event): if event.inaxes: print event.xdata, event.ydata
def move(event):
    if event.inaxes is not None: priint event.x, event.xdata
def move(event):
    if event.inaxes is not None: print event.x, event.xdata
    
plot(rand(100))
cid = connect('motion_notify_event', move)
disconnect(cid)
close
run poly_editor.py 
ls
run check_buttons.py 
ls
run cursor.py 
ls
run radio_buttons.py 
run sliders.py 
lw
run span_selector.py 
ls
run rectangle_selector.py 
ls
rm *~
ls
run buttons.py 
polar?
theta = arange(0, 2*pi, 0.01)
r = arange(len(theta))+0.
polar(theta, r)
close
polar(theta, r)
ax = subplot(111, polar=True)
polar(theta, r)
close
polar(theta, r)
cd /Users/jdhunter/python/projects/matplotlib/examples/ 
run polar_demo.py 
help(ax)
clf
ax = subplot(111)
help(ax)
help(Axes)
help(XAxis)
help(Axis)
ax.xaxis?
ax.xaxis??
from matplotlib.axis import XAxis
help(XAxis)
la
ax.xaxis.get_major_ticks()
help(XTick)
help(matplotlib.axis.XTick)
help(matplotlib.lines.Line2D)
ls
rm *~
ls
ax1 = subplot(111)
close
ax1 = subplot(211)
ax2 = subplot(212)
clf
ax1 = subplot(211)
ax2 = subplot(212, sharex=ax1)
t = arange(0,2,0.01)
s1 = sin(2*pi*t); s2 = sin(4*pi*t)
ax1.plot(t,s1)
ax2.plot(t,s2)
draw()
pwd
from IPython.demo import Demo
d = Demo('rotate.py')
d
help(canvas.copy_from_bbox)
help(canvas)
d = Demo('rotate.py')
from IPython.demo import Demo
d = Demo('rotate.py')
d
d.again 
d
d.again
d = Demo('rotate.py')
d
close
d = Demo('rotate.py')
d
from IPython.demo import Demo
d = Demo('rotate.py')
d
1/2
from IPython.demo import Demo
d = Demo('rotate.py')
d
close
d = Demo('rotate.py')
d
d.again
close
ls
run animate_circles.py 
ls
rm *~
ls
run simple.py
plot([1,2,3])
close
run simple.py
from IPython.demo import Demo
d = Demo('shared_axis_demo.py')
d
d = Demo('shared_axis_demo.py')
d
d = Demo('shared_axis_demo.py')
d(1)
d
close
d.again
close
d = Demo('shared_axis_demo.py')
d
xticks((-1,1))
close
ls
cd ..
ls
cd e
cd ev
cd events/ 
ls
pwd
hist(randn(10000), 100)
title('Hi mom')
title(r'$\mu=20; \gamma=30$')
imshow(rand(30,40))
CLF
clf
imshow(rand(30,40), interpolation='nearest', cmap=cm.hot)
colorbar
spring
t = arange(0,3,0.01)
line, = plot(t, sin(2*pi*t), 'g-')
setp(line)
getp(line)
setp(line, color='r', lw=4)
import numarray
numarray.array((1, 's', 0.0), typecode='O')
numarray.array((1, 's', 0.0), typecode=numarray.Object)
numarray.array((1, 's', 0.0), typecode=numarray.ObjectType)
numarray.array((1, 's', 0.0), typecode=numarray.Object)
contour?
ls
cd /Users/jdhunter/talk/examples/ 
ls
cd /Users/jdhunter/python/projects/matplotlib/examples/ 
run image_demo.py 
Z
contour(x,y,Z)
hoy
hot
clabel?
clabel(inline=True)
clabel?
clabel(Z, inline=True)
close
levs, colls = contour(X,Y,Z,levels=7)
close
run image_demo.py 
cat image_demo.py 
ls
levs, colls = contour(X,Y,Z,levels=7)
clabel(colls, inline=True)
jet
min(Z.flat)
max(Z.flat)
ax = gca()
ax.collections = []
ax.texts = []
draw()
ax.collections = []; ax.artists = []; draw()
levs, colls = contour(X,Y,Z,levels=(-.1, 0, .4, .6, 1))
levs, colls = contour(X,Y,Z,levels=(-.1, 0, .4, .6, 1), colors='r')
ax.collections = []; ax.artists = []; draw()
levs, colls = contour(X,Y,Z,levels=(-.1, 0, .4, .6, 1), colors='r')
levs, colls = contour(X,Y,Z,levels=7)
clabel(colls, inline=True)
ax.collections = []; ax.artists = []; draw()
levs, colls = contour(X,Y,Z,levels=7)
clabel(colls[::2], inline=True)
close
run contour_demo.py
run contourf_demo.py
run contour_image.py 
rm -f *.png
ls
%pycat image_demo.py 
%pycat image_demo
%pycat image_demo.py
pycat image_demo
%pycat image_demo.py
plot([1,2,3])
savefig('test', dpi=100)
savefig('test', dpi=600)
savefig('test', dpi=100)
savefig('test2', dpi=600)
1000./6.45
1000./17.47
run hist
run histd
run histtest.py 
import rexec
help(rexec)
import logging
logging.basicConfig 
import logging
b = logging.basicConfig()
b.format
b.filemode = 'w'
help logging.basicConfig 
logging.Formatter ?
formatter = logging.Formatter ()
formatter
help logging.Formatter 
f = logging.Formatter ()
f
help load
plot([1,2,3])
grid()
title('hi mom')
plot([1,2,3])
grid()
plot([1,2,3])
grid()
plot([1,2,3])
grid()
fig = figure()
fig.canvas.__file__
plot([1,2,3])
grid()
plot([1,2,3])
grid()
plot([1,2,3])
grid()
plot([1,2,3])
from tkFileDialog import asksaveasfilename as ask
fname = ask(title='hi mom')
fname
grid()
plot([1,2,3])
from tkFileDialog import asksaveasfilename as ask
fname = ask(title='hi mom')
from matplotlib._pylab_helpers import Gcf()
from matplotlib._pylab_helpers import Gcf
Gcf.figs
plot([1,2,3])
from matplotlib._pylab_helpers import Gcf
Gcf.figs
from tkFileDialog import asksaveasfilename as ask
fname = ask(title='hi mom')
Gcf.figs
plot([1,2,3])
from tkFileDialog import asksaveasfilename as ask
fname = ask(title='hi mom')
from matplotlib._pylab_helpers import Gcf
Gcf.figs
plot([1,2,3])
from tkFileDialog import asksaveasfilename as ask
fname = ask(title='hi mom')
plot([1,2,3])
from tkFileDialog import asksaveasfilename as ask
fname = ask(title='hi mom')
hist(rand(10000), 100)
hist(randn(10000), 100);
close()
clf()
pwd
ls
plot(*rand(2,100), 'o')
plot(*rand(2,100), markerstyle='o')
plot(*rand(2,100))
close
run -i stock_scatter.py
run -t stock_scatter.py
run -p stock_scatter.py
rls
ls
run stock_scatter.py
run -i stock_scatter.py
p = points[0]
p.dailyreturn.shape
nx.mlab.corrcoef(p.dailyreturn[1:], p.dailyreturn[:-1])
p.dailyreturn[:-1].shape
p.dailyreturn[1:].shape
nx.mlab.corrcoef(p.dailyreturn[1:].copy(), p.dailyreturn[:-1].copy())
s1 = p.dailyreturn[:-1]
s2 = p.dailyreturn[1:]
nx.cov(s1,s2)
nx.mlab.cov(s1, s2)
s1[:0]
s1[:1]
s1[:10]
nx.mlab.corrcoef(s1,s2)
c = nx.mlab.cov(s1,s2)
c
d = doag(c)
d = diag(c)
s1 = p.dailyreturn[:-1]
s2 = p.dailyreturn[1:]
s1 *s2
s1 = p.dailyreturn[:-1].copy()
s2 = p.dailyreturn[1:].copy()
nx.mlab.cov(s1, s2)
x = nx.mlab.rand(10)
y = nx.mlab.rand(10)
nx.mlab.cov(x,y)
run stock_scatter.py
p = points[0]
fig = figure()
p.plotraw(fig)
run stock_scatter.py
p = points[0]
p.date[:10]
p.dailydata.date[:10]
p.dailydata.close[:10]
p.dailydata.ticker
run stock_scatter.py
p = points[0]
fig = figure()
p.plotraw(fig)
draw()
p.plotraw(fig); draw()
run -i stock_scatter.py
close('all')
p = points[0]
p.plotraw(fig); draw()
draw()
close('all')
fig = figure()
p.plotraw(fig); draw()
run -i stock_scatter.py
close('all')
run -i stock_scatter.py
close('all')
run -i stock_scatter.py
d = datetime.datetime.now().date()
d.strftime('%Y')
d.strftime('%b %Y')
close('all')
d.strftime('%b %Y')
run -i stock_scatter.py
run stock_scatter.py
pwd
cd scripts/ 
run stock_scatter.py 
run -i stock_scatter.py 
close('all')
run stock_scatter.py 
run stock_scatter.py
close('all')
run stock_scatter.py
close('all')
run stock_scatter.py
run -i stock_scatter.py
close('all')
run -i stock_scatter.py
close('all')
run -i stock_scatter.py
close('all')
run -i stock_scatter.py
cl;2A
close('all')
xy = nx.array([1,2])
y = nx.array(2,10)
y = nx.mlab.rand(2,10)
xy-y
xy
y
y = nx.mlab.rand(10,2)
xy-y
y
xy-y
y-xy
run -i stock_scatter2.py
close('all')
run -i stock_scatter.py
close('all')
run -i stock_scatter2.py
run -i stock_scatter.py
from numpy.fft import fft
from numpy import rand
from numpy.lib.mlab import rand
import matplotlib.numerix as nx
nx.fft
nx.fft.fft
import numarray
numarray.rand
numarray.mlab.rand
numarray.linear_algebra.mlab.rand
pwd
cd mpl/examples/ 
ls
pycat image_demo.py
x = y = arange(-3,3,0.05)
X, Y = meshgrid(X, Y)
X, Y = meshgrid(x, y)
Z1 = bivariate_normal(X, Y, 1, 1, 0, 0)
help bivariate_normal 
Z1@ = bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
Z = Z2-Z1
imshow(Z)
clf()
imshow(Z, cmap=cm.gray, extent=(-3,3,-3,3))
CS = contour(X, Y, Z, cmap=cm.hot)
clf()
imshow(Z, cmap=cm.gray, extent=(-3,3,-3,3), origin='lower')
CS = contour(X, Y, Z, cmap=cm.hot, origin='lower')
clabel(CS)
colorbar()
cd mpl/examples/ 
ls
pwd
cd scripts/ 
run stock_scatter.py
pwd
run stock_scatter.py
run -i stock_scatter2.py