Revision: 5938
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=5938&view=rev
Author: jswhit
Date: 2008-07-31 18:38:56 +0000 (Thu, 31 Jul 2008)
Log Message:
-----------
use 'import numpy as np'
Modified Paths:
--------------
trunk/toolkits/basemap/lib/mpl_toolkits/basemap/netcdftime.py
trunk/toolkits/basemap/lib/mpl_toolkits/basemap/proj.py
Modified: trunk/toolkits/basemap/lib/mpl_toolkits/basemap/netcdftime.py
===================================================================
--- trunk/toolkits/basemap/lib/mpl_toolkits/basemap/netcdftime.py
2008-07-31 15:37:56 UTC (rev 5937)
+++ trunk/toolkits/basemap/lib/mpl_toolkits/basemap/netcdftime.py
2008-07-31 18:38:56 UTC (rev 5938)
@@ -1,7 +1,8 @@
"""
Performs conversions of netCDF time coordinate data to/from datetime objects.
"""
-import math, numpy, re, time
+import math, re, time
+import numpy as np
from datetime import datetime as real_datetime
_units = ['days','hours','minutes','seconds','day','hour','minute','second']
@@ -629,7 +630,7 @@
except:
isscalar = True
if not isscalar:
- date = numpy.array(date)
+ date = np.array(date)
shape = date.shape
if self.calendar in
['julian','standard','gregorian','proleptic_gregorian']:
if isscalar:
@@ -656,7 +657,7 @@
else:
jdelta = [_360DayFromDate(d)-self._jd0 for d in date.flat]
if not isscalar:
- jdelta = numpy.array(jdelta)
+ jdelta = np.array(jdelta)
# convert to desired units, add time zone offset.
if self.units in ['second','seconds']:
jdelta = jdelta*86400. + self.tzoffset*60.
@@ -669,7 +670,7 @@
if isscalar:
return jdelta
else:
- return numpy.reshape(jdelta,shape)
+ return np.reshape(jdelta,shape)
def num2date(self,time_value):
"""
@@ -681,8 +682,8 @@
Resolution is 1 second.
-Works for scalars, sequences and numpy arrays.
-Returns a scalar if input is a scalar, else returns a numpy array.
+Works for scalars, sequences and np arrays.
+Returns a scalar if input is a scalar, else returns a np array.
The datetime instances returned by C{num2date} are 'real' python datetime
objects if the date falls in the Gregorian calendar (i.e.
@@ -699,7 +700,7 @@
except:
isscalar = True
if not isscalar:
- time_value = numpy.array(time_value)
+ time_value = np.array(time_value)
shape = time_value.shape
# convert to desired units, remove time zone offset.
if self.units in ['second','seconds']:
@@ -734,7 +735,7 @@
if isscalar:
return date
else:
- return numpy.reshape(numpy.array(date),shape)
+ return np.reshape(np.array(date),shape)
def _parse_date(origin):
"""Parses a date string and returns a tuple
Modified: trunk/toolkits/basemap/lib/mpl_toolkits/basemap/proj.py
===================================================================
--- trunk/toolkits/basemap/lib/mpl_toolkits/basemap/proj.py 2008-07-31
15:37:56 UTC (rev 5937)
+++ trunk/toolkits/basemap/lib/mpl_toolkits/basemap/proj.py 2008-07-31
18:38:56 UTC (rev 5938)
@@ -1,4 +1,4 @@
-import numpy as npy
+import numpy as np
import pyproj
import math
@@ -92,15 +92,15 @@
self._proj4 = pyproj.Proj(projparams)
# find major and minor axes of ellipse defining map proj region.
delta = 0.01
- lats = npy.arange(0,90,delta)
+ lats = np.arange(0,90,delta)
lon_0 = projparams['lon_0']
- lons = lon_0*npy.ones(len(lats),'d')
+ lons = lon_0*np.ones(len(lats),'d')
x, y = self._proj4(lons, lats)
yi = (y > 1.e20).tolist()
ny = yi.index(1)-1
height = y[ny]
- lons = npy.arange(lon_0,lon_0+90,delta)
- lats = npy.zeros(len(lons),'d')
+ lons = np.arange(lon_0,lon_0+90,delta)
+ lats = np.zeros(len(lons),'d')
x, y = self(lons, lats)
xi = (x > 1.e20).tolist()
nx = xi.index(1)-1
@@ -264,8 +264,8 @@
"""
dx = (self.urcrnrx-self.llcrnrx)/(nx-1)
dy = (self.urcrnry-self.llcrnry)/(ny-1)
- x = self.llcrnrx+dx*npy.indices((ny,nx),npy.float32)[1,:,:]
- y = self.llcrnry+dy*npy.indices((ny,nx),npy.float32)[0,:,:]
+ x = self.llcrnrx+dx*np.indices((ny,nx),np.float32)[1,:,:]
+ y = self.llcrnry+dy*np.indices((ny,nx),np.float32)[0,:,:]
lons, lats = self(x, y, inverse=True)
if returnxy:
return lons, lats, x, y
@@ -280,9 +280,9 @@
"""
dx = (self.urcrnrx-self.llcrnrx)/(nx-1)
dy = (self.urcrnry-self.llcrnry)/(ny-1)
- xy = npy.empty((ny,nx,2), npy.float64)
- xy[...,0] = self.llcrnrx+dx*npy.indices((ny,nx),npy.float32)[1,:,:]
- xy[...,1] = self.llcrnry+dy*npy.indices((ny,nx),npy.float32)[0,:,:]
+ xy = np.empty((ny,nx,2), np.float64)
+ xy[...,0] = self.llcrnrx+dx*np.indices((ny,nx),np.float32)[1,:,:]
+ xy[...,1] = self.llcrnry+dy*np.indices((ny,nx),np.float32)[0,:,:]
lonlat = self(xy, inverse=True)
if returnxy:
return lonlat, xy
@@ -329,9 +329,9 @@
t2 = time.clock()
print 'compute lats/lons for all points on AWIPS 221 grid (%sx%s)' %(nx,ny)
print 'max/min lons'
- print min(npy.ravel(lons)),max(npy.ravel(lons))
+ print min(np.ravel(lons)),max(np.ravel(lons))
print 'max/min lats'
- print min(npy.ravel(lats)),max(npy.ravel(lats))
+ print min(np.ravel(lats)),max(np.ravel(lats))
print 'took',t2-t1,'secs'
print 'Same thing but with a single 3-D array'
t1 = time.clock()
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