Revision: 4061
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4061&view=rev
Author: jdh2358
Date: 2007-10-29 11:52:41 -0700 (Mon, 29 Oct 2007)
Log Message:
-----------
fixed some examples bugs
Modified Paths:
--------------
trunk/matplotlib/examples/keypress_demo.py
trunk/matplotlib/examples/units/bar_unit_demo.py
trunk/matplotlib/lib/matplotlib/axes.py
trunk/matplotlib/lib/matplotlib/mlab.py
trunk/matplotlib/lib/matplotlib/patches.py
Modified: trunk/matplotlib/examples/keypress_demo.py
===================================================================
--- trunk/matplotlib/examples/keypress_demo.py 2007-10-29 18:37:17 UTC (rev
4060)
+++ trunk/matplotlib/examples/keypress_demo.py 2007-10-29 18:52:41 UTC (rev
4061)
@@ -1,21 +1,23 @@
#!/usr/bin/env python
"""
Show how to connect to keypress events
-
-Note, on the wx backend on some platforms (eg linux), you have to
-first click on the figure before the keypress events are activated.
-If you know how to fix this, please email us!
"""
-from pylab import *
+import numpy as n
+from pylab import figure, show
def press(event):
print 'press', event.key
- if event.key=='g':
- grid()
- draw()
+ if event.key=='x':
+ visible = xl.get_visible()
+ xl.set_visible(not visible)
+ fig.canvas.draw()
-connect('key_press_event', press)
+fig = figure()
+ax = fig.add_subplot(111)
-title('press g to toggle grid')
-plot(rand(12), rand(12), 'go')
+fig.canvas.mpl_connect('key_press_event', press)
+
+ax.plot(n.random.rand(12), n.random.rand(12), 'go')
+xl = ax.set_xlabel('easy come, easy go')
+
show()
Modified: trunk/matplotlib/examples/units/bar_unit_demo.py
===================================================================
--- trunk/matplotlib/examples/units/bar_unit_demo.py 2007-10-29 18:37:17 UTC
(rev 4060)
+++ trunk/matplotlib/examples/units/bar_unit_demo.py 2007-10-29 18:52:41 UTC
(rev 4061)
@@ -4,15 +4,16 @@
N = 5
menMeans = (150*cm, 160*cm, 146*cm, 172*cm, 155*cm)
-menStd = (20*cm, 30*cm, 32*cm, 10*cm, 20*cm)
+menStd = ( 20*cm, 30*cm, 32*cm, 10*cm, 20*cm)
fig = figure()
ax = fig.add_subplot(111)
ind = nx.arange(N) # the x locations for the groups
-width = 0.35 # the width of the bars
+width = 0.35 # the width of the bars
p1 = ax.bar(ind, menMeans, width, color='r', bottom=0*cm, yerr=menStd)
+
womenMeans = (145*cm, 149*cm, 172*cm, 165*cm, 200*cm)
womenStd = (30*cm, 25*cm, 20*cm, 31*cm, 22*cm)
p2 = ax.bar(ind+width, womenMeans, width, color='y', bottom=0*cm,
yerr=womenStd)
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2007-10-29 18:37:17 UTC (rev
4060)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2007-10-29 18:52:41 UTC (rev
4061)
@@ -1173,6 +1173,8 @@
# Otherwise, it will compute the bounds of it's current data
# and the data in xydata
xys = npy.asarray(xys)
+
+
self.dataLim.update_numerix_xy(xys, -1)
@@ -3242,22 +3244,7 @@
patches = []
- # lets do some conversions now
- if self.xaxis is not None:
- xconv = self.xaxis.converter
- if xconv is not None:
- units = self.xaxis.get_units()
- left = xconv.convert( left, units )
- width = xconv.convert( width, units )
- if self.yaxis is not None:
- yconv = self.yaxis.converter
- if yconv is not None :
- units = self.yaxis.get_units()
- bottom = yconv.convert( bottom, units )
- height = yconv.convert( height, units )
-
-
if align == 'edge':
pass
elif align == 'center':
@@ -3645,23 +3632,24 @@
a list of error bar cap lines, the third element is a list of
line collections for the horizontal and vertical error ranges
"""
+
self._process_unit_info(xdata=x, ydata=y, kwargs=kwargs)
if not self._hold: self.cla()
- # make sure all the args are iterable arrays
- if not iterable(x): x = npy.array([x])
- else: x = npy.asarray(x)
+ # make sure all the args are iterable; use lists not arrays to
preserve units
+ if not iterable(x):
+ x = [x]
- if not iterable(y): y = npy.array([y])
- else: y = npy.asarray(y)
+ if not iterable(y):
+ y = [y]
if xerr is not None:
- if not iterable(xerr): xerr = npy.array([xerr])
- else: xerr = npy.asarray(xerr)
+ if not iterable(xerr):
+ xerr = [xerr]
if yerr is not None:
- if not iterable(yerr): yerr = npy.array([yerr])
- else: yerr = npy.asarray(yerr)
+ if not iterable(yerr):
+ yerr = [yerr]
l0 = None
@@ -3677,7 +3665,9 @@
if 'lw' in kwargs:
lines_kw['lw']=kwargs['lw']
- if not iterable(lolims): lolims = npy.array([lolims]*len(x), bool)
+ # arrays fine here, they are booleans and hence not units
+ if not iterable(lolims):
+ lolims = npy.asarray([lolims]*len(x), bool)
else: lolims = npy.asarray(lolims, bool)
if not iterable(uplims): uplims = npy.array([uplims]*len(x), bool)
@@ -3699,12 +3689,14 @@
plot_kw['mew']=kwargs['mew']
if xerr is not None:
- if len(xerr.shape) == 1:
- left = x-xerr
- right = x+xerr
+ if iterable(xerr) and len(xerr)==2:
+ # using list comps rather than arrays to preserve units
+ left = [thisx-thiserr for (thisx, thiserr) in zip(x,xerr[0])]
+ right = [thisx+thiserr for (thisx, thiserr) in zip(x,xerr[1])]
else:
- left = x-xerr[0]
- right = x+xerr[1]
+ # using list comps rather than arrays to preserve units
+ left = [thisx-thiserr for (thisx, thiserr) in zip(x,xerr)]
+ right = [thisx+thiserr for (thisx, thiserr) in zip(x,xerr)]
barcols.append( self.hlines(y, left, right, **lines_kw ) )
if capsize > 0:
@@ -3723,12 +3715,14 @@
caplines.extend( self.plot(right, y, 'k|', **plot_kw) )
if yerr is not None:
- if len(yerr.shape) == 1:
- lower = y-yerr
- upper = y+yerr
+ if iterable(yerr) and len(yerr)==2:
+ # using list comps rather than arrays to preserve units
+ lower = [thisy-thiserr for (thisy, thiserr) in zip(y,yerr[0])]
+ upper = [thisy+thiserr for (thisy, thiserr) in zip(y,yerr[1])]
else:
- lower = y-yerr[0]
- upper = y+yerr[1]
+ # using list comps rather than arrays to preserve units
+ lower = [thisy-thiserr for (thisy, thiserr) in zip(y,yerr)]
+ upper = [thisy+thiserr for (thisy, thiserr) in zip(y,yerr)]
barcols.append( self.vlines(x, lower, upper, **lines_kw) )
if capsize > 0:
Modified: trunk/matplotlib/lib/matplotlib/mlab.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/mlab.py 2007-10-29 18:37:17 UTC (rev
4060)
+++ trunk/matplotlib/lib/matplotlib/mlab.py 2007-10-29 18:52:41 UTC (rev
4061)
@@ -1455,7 +1455,116 @@
for row in r:
writer.writerow(map(str, row))
fh.close()
+
+try:
+ import pyExcelerator as excel
+except ImportError:
+ pass
+else:
+ class Format:
+ xlstyle = None
+ def convert(self, x):
+ return x
+
+ class FormatFloat(Format):
+ def __init__(self, precision=4):
+ self.xlstyle = excel.XFStyle()
+ zeros = ''.join(['0']*precision)
+ self.xlstyle.num_format_str = '#,##0.%s;[RED]-#,##0.%s'%(zeros,
zeros)
+
+ class FormatInt(Format):
+ convert = int
+ def __init__(self):
+
+ self.xlstyle = excel.XFStyle()
+ self.xlstyle.num_format_str = '#,##;[RED]-#,##'
+
+ class FormatPercent(Format):
+ def __init__(self, precision=4):
+ self.xlstyle = excel.XFStyle()
+ zeros = ''.join(['0']*precision)
+ self.xlstyle.num_format_str = '0.%s%;[RED]-0.%s%'%(zeros, zeros)
+
+ class FormatThousands(FormatFloat):
+ def __init__(self, precision=1):
+ FormatFloat.__init__(self, precision)
+
+ def convert(self, x):
+ return x/1e3
+
+ class FormatMillions(FormatFloat):
+ def __init__(self, precision=1):
+ FormatFloat.__init__(self, precision)
+
+ def convert(self, x):
+ return x/1e6
+
+ class FormatDate(Format):
+ def __init__(self, fmt='%Y-%m-%d'):
+ self.fmt = fmt
+
+ def convert(self, val):
+ return val.strftime(self.fmt)
+
+ class FormatDatetime(Format):
+ def __init__(self, fmt='%Y-%m-%d %H:%M:%S'):
+ self.fmt = fmt
+
+ def convert(self, val):
+ return val.strftime(self.fmt)
+
+ class FormatObject(Format):
+
+ def convert(self, x):
+ return str(x)
+
+ def rec2excel(ws, r, formatd=None, rownum=0):
+ """
+ save record array r to excel pyExcelerator worksheet ws
+ starting at rownum
+
+ formatd is a dictionary mapping dtype name -> Format instances
+ """
+
+ if formatd is None:
+ formatd = dict()
+
+ formats = []
+ for i, name in enumerate(r.dtype.names):
+ dt = r.dtype[name]
+ format = formatd.get(name)
+ if format is None:
+ format = rec2excel.formatd.get(dt.type, FormatObject())
+
+ ws.write(rownum, i, name)
+ formats.append(format)
+
+ rownum+=1
+
+ ind = npy.arange(len(r.dtype.names))
+ for row in r:
+ for i in ind:
+ val = row[i]
+ format = formats[i]
+ val = format.convert(val)
+ if format.xlstyle is None:
+ ws.write(rownum, i, val)
+ else:
+ ws.write(rownum, i, val, format.xlstyle)
+ rownum += 1
+ rec2excel.formatd = {
+ npy.int16 : FormatInt(),
+ npy.int32 : FormatInt(),
+ npy.int64 : FormatInt(),
+ npy.float32 : FormatFloat(),
+ npy.float64 : FormatFloat(),
+ npy.object_ : FormatObject(),
+ npy.string_ : Format(),
+ }
+
+
+
# some record array helpers
def rec_append_field(rec, name, arr, dtype=None):
'return a new record array with field name populated with data from array
arr'
Modified: trunk/matplotlib/lib/matplotlib/patches.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/patches.py 2007-10-29 18:37:17 UTC (rev
4060)
+++ trunk/matplotlib/lib/matplotlib/patches.py 2007-10-29 18:52:41 UTC (rev
4061)
@@ -350,8 +350,10 @@
Return the vertices of the rectangle
"""
x, y = self.xy
- left, right = self.convert_xunits((x, x + self.width))
- bottom, top = self.convert_yunits((y, y + self.height))
+ left = self.convert_xunits(x)
+ right = self.convert_xunits(x + self.width)
+ bottom = self.convert_yunits(y)
+ top = self.convert_yunits(y+self.height)
return ( (left, bottom), (left, top),
(right, top), (right, bottom),
@@ -806,8 +808,15 @@
def get_verts(self):
xcenter, ycenter = self.center
+ width, height = self.width, self.height
- width, height = self.width, self.height
+ xcenter = self.convert_xunits(xcenter)
+ width = self.convert_xunits(width)
+ ycenter = self.convert_yunits(ycenter)
+ height = self.convert_xunits(height)
+
+
+
angle = self.angle
theta = npy.arange(0.0, 360.0, 1.0)*npy.pi/180.0
@@ -820,8 +829,6 @@
[npy.sin(rtheta), npy.cos(rtheta)],
])
- x = self.convert_xunits(x)
- y = self.convert_yunits(y)
x, y = npy.dot(R, npy.array([x, y]))
x += xcenter
@@ -857,6 +864,8 @@
x, y = self.center
x = self.convert_xunits(x)
y = self.convert_yunits(y)
+ w = self.convert_xunits(self.width)/2.
+ h = self.convert_yunits(self.height)/2.
theta = self.angle * npy.pi/180.
T = npy.array([
@@ -864,10 +873,8 @@
[0, 1, y],
[0, 0, 1]])
- w, h = self.width/2, self.height/2.
- w = self.convert_xunits(w)
- h = self.convert_yunits(h)
+
S = npy.array([
[w, 0, 0],
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