John Hunter wrote:
On Sat, Jul 19, 2008 at 8:58 PM, Ryan May <[EMAIL PROTECTED]> wrote:
Hi,
In integrating my barbs work, I'm having trouble that causes a circular
import. I used delete_masked_points from axes. The problem here is that
axes imports quiver (where I put barbs) which then has to (in some form)
import axes to get delete_masked_points. Anyone have something I'm
missing here? Or can I move delete_masked_points to a better location?
mlab or cbook would be fine
JDH
Take this one instead. I missed some imports on the last one (oops).
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--- axes.py (revision 5793)
+++ axes.py (working copy)
@@ -1,5 +1,5 @@
from __future__ import division, generators
-import math, sys, warnings, datetime, new, types
+import math, sys, warnings, datetime, new
import numpy as np
from numpy import ma
@@ -31,45 +31,6 @@
is_string_like = cbook.is_string_like
-def delete_masked_points(*args):
- """
- Find all masked points in a set of arguments, and return
- the arguments with only the unmasked points remaining.
-
- This will also delete any points that are not finite (nan or inf).
-
- The overall mask is calculated from any masks that are present.
- If a mask is found, any argument that does not have the same
- dimensions is left unchanged; therefore the argument list may
- include arguments that can take string or array values, for
- example.
-
- Array arguments must have the same length; masked arguments must
- be one-dimensional.
-
- Written as a helper for scatter, but may be more generally
- useful.
- """
- masks = [ma.getmaskarray(x) for x in args if hasattr(x, 'mask')]
- isfinite = [np.isfinite(x) for x in args]
- masks.extend( [~x for x in isfinite if not isinstance(x,types.NotImplementedType)] )
- if len(masks) == 0:
- return args
- mask = reduce(np.logical_or, masks)
- margs = []
- for x in args:
- if (not is_string_like(x)
- and iterable(x)
- and len(x) == len(mask)):
- if (hasattr(x, 'get_compressed_copy')):
- compressed_x = x.get_compressed_copy(mask)
- else:
- compressed_x = ma.masked_array(x, mask=mask).compressed()
- margs.append(compressed_x)
- else:
- margs.append(x)
- return margs
-
def _process_plot_format(fmt):
"""
Process a matlab(TM) style color/line style format string. Return a
@@ -4827,7 +4788,7 @@
self._process_unit_info(xdata=x, ydata=y, kwargs=kwargs)
- x, y, s, c = delete_masked_points(x, y, s, c)
+ x, y, s, c = cbook.delete_masked_points(x, y, s, c)
# The inherent ambiguity is resolved in favor of color
# mapping, not interpretation as rgb or rgba.
@@ -5091,7 +5052,7 @@
self._process_unit_info(xdata=x, ydata=y, kwargs=kwargs)
- x, y = delete_masked_points(x, y)
+ x, y = cbook.delete_masked_points(x, y)
# Set the size of the hexagon grid
if iterable(gridsize):
--- cbook.py (revision 5793)
+++ cbook.py (working copy)
@@ -3,9 +3,10 @@
from the Python Cookbook -- hence the name cbook
"""
from __future__ import generators
-import re, os, errno, sys, StringIO, traceback, locale, threading
+import re, os, errno, sys, StringIO, traceback, locale, threading, types
import time, datetime
import numpy as np
+from numpy import ma
from weakref import ref
major, minor1, minor2, s, tmp = sys.version_info
@@ -1165,8 +1166,46 @@
else:
os.remove(path)
+def delete_masked_points(*args):
+ """
+ Find all masked points in a set of arguments, and return
+ the arguments with only the unmasked points remaining.
+ This will also delete any points that are not finite (nan or inf).
+ The overall mask is calculated from any masks that are present.
+ If a mask is found, any argument that does not have the same
+ dimensions is left unchanged; therefore the argument list may
+ include arguments that can take string or array values, for
+ example.
+
+ Array arguments must have the same length; masked arguments must
+ be one-dimensional.
+
+ Written as a helper for scatter, but may be more generally
+ useful.
+ """
+ masks = [ma.getmaskarray(x) for x in args if hasattr(x, 'mask')]
+ isfinite = [np.isfinite(x) for x in args]
+ masks.extend( [~x for x in isfinite if not isinstance(x,types.NotImplementedType)] )
+ if len(masks) == 0:
+ return args
+ mask = reduce(np.logical_or, masks)
+ margs = []
+ for x in args:
+ if (not is_string_like(x)
+ and iterable(x)
+ and len(x) == len(mask)):
+ if (hasattr(x, 'get_compressed_copy')):
+ compressed_x = x.get_compressed_copy(mask)
+ else:
+ compressed_x = ma.masked_array(x, mask=mask).compressed()
+ margs.append(compressed_x)
+ else:
+ margs.append(x)
+ return margs
+
+
# a dict to cross-map linestyle arguments
_linestyles = [('-', 'solid'),
('--', 'dashed'),
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