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[Matplotlib-checkins] SF.net SVN: matplotlib: [3556] trunk/matplotlib/lib/matplotlib/ticker.py
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From: <ef...@us...> - 2007-07-18 07:38:11
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Revision: 3556
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=3556&view=rev
Author: efiring
Date: 2007-07-18 00:38:05 -0700 (Wed, 18 Jul 2007)
Log Message:
-----------
Standardized imports in ticker.py
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/ticker.py
Modified: trunk/matplotlib/lib/matplotlib/ticker.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/ticker.py 2007-07-17 22:33:42 UTC (rev 3555)
+++ trunk/matplotlib/lib/matplotlib/ticker.py 2007-07-18 07:38:05 UTC (rev 3556)
@@ -111,14 +111,17 @@
from __future__ import division
import sys, os, re, time, math, warnings
-from mlab import linspace
+import numpy as npy
+import matplotlib as mpl
from matplotlib import verbose, rcParams
-from numpy import absolute, arange, array, asarray, floor, log, logical_and, nonzero, ones, take, zeros
-from matplotlib.numerix.mlab import amin, amax, std, mean
-from matplotlib.mlab import frange
-from cbook import strip_math
-from transforms import nonsingular, Value, Interval
+from matplotlib import cbook
+from matplotlib import mlab
+from matplotlib import transforms as mtrans
+
+
+
+
class TickHelper:
viewInterval = None
@@ -147,8 +150,8 @@
cases where the Intervals do not need to be updated
automatically.
'''
- self.dataInterval = Interval(Value(vmin), Value(vmax))
- self.viewInterval = Interval(Value(vmin), Value(vmax))
+ self.dataInterval = mtrans.Interval(mtrans.Value(vmin), mtrans.Value(vmax))
+ self.viewInterval = mtrans.Interval(mtrans.Value(vmin), mtrans.Value(vmax))
class Formatter(TickHelper):
"""
@@ -330,7 +333,7 @@
sciNotStr = r'{\times}'+self.format_data(10**self.orderOfMagnitude)
else:
sciNotStr = u'\xd7'+'1e%d'% self.orderOfMagnitude
- if self._useMathText or self._usetex:
+ if self._useMathText or self._usetex:
return ''.join(('$',sciNotStr,offsetStr,'$'))
else: return ''.join((sciNotStr,offsetStr))
else: return ''
@@ -352,16 +355,16 @@
if locs is None or not len(locs) or range == 0:
self.offset = 0
return
- ave_loc = mean(locs)
+ ave_loc = npy.mean(locs)
if ave_loc: # dont want to take log10(0)
- ave_oom = math.floor(math.log10(mean(absolute(locs))))
+ ave_oom = math.floor(math.log10(npy.mean(npy.absolute(locs))))
range_oom = math.floor(math.log10(range))
- if absolute(ave_oom-range_oom) >= 3: # four sig-figs
+ if npy.absolute(ave_oom-range_oom) >= 3: # four sig-figs
if ave_loc < 0:
- self.offset = math.ceil(amax(locs)/10**range_oom)*10**range_oom
+ self.offset = math.ceil(npy.max(locs)/10**range_oom)*10**range_oom
else:
- self.offset = math.floor(amin(locs)/10**(range_oom))*10**(range_oom)
+ self.offset = math.floor(npy.min(locs)/10**(range_oom))*10**(range_oom)
else: self.offset = 0
def _set_orderOfMagnitude(self,range):
@@ -370,7 +373,7 @@
if not self._scientific:
self.orderOfMagnitude = 0
return
- locs = absolute(self.locs)
+ locs = npy.absolute(self.locs)
if self.offset: oom = math.floor(math.log10(range))
else:
if locs[0] > locs[-1]: val = locs[0]
@@ -388,7 +391,7 @@
# set the format string to format all the ticklabels
# The floating point black magic (adding 1e-15 and formatting
# to 8 digits) may warrant review and cleanup.
- locs = (array(self.locs)-self.offset) / 10**self.orderOfMagnitude+1e-15
+ locs = (npy.asarray(self.locs)-self.offset) / 10**self.orderOfMagnitude+1e-15
sigfigs = [len(str('%1.8f'% loc).split('.')[1].rstrip('0')) \
for loc in locs]
sigfigs.sort()
@@ -397,7 +400,7 @@
def pprint_val(self, x):
xp = (x-self.offset)/10**self.orderOfMagnitude
- if absolute(xp) < 1e-8: xp = 0
+ if npy.absolute(xp) < 1e-8: xp = 0
return self.format % xp
def _formatSciNotation(self, s):
@@ -464,7 +467,7 @@
def format_data(self,value):
self.labelOnlyBase = False
- value = strip_math(self.__call__(value))
+ value = cbook.strip_math(self.__call__(value))
self.labelOnlyBase = True
return value
@@ -570,7 +573,7 @@
def autoscale(self):
'autoscale the view limits'
self.verify_intervals()
- return nonsingular(*self.dataInterval.get_bounds())
+ return mtrans.nonsingular(*self.dataInterval.get_bounds())
def pan(self, numsteps):
'Pan numticks (can be positive or negative)'
@@ -611,7 +614,7 @@
def __call__(self):
'Return the locations of the ticks'
dmin, dmax = self.dataInterval.get_bounds()
- return arange(dmin + self.offset, dmax+1, self._base)
+ return npy.arange(dmin + self.offset, dmax+1, self._base)
class FixedLocator(Locator):
@@ -684,7 +687,7 @@
if self.numticks==0: return []
- ticklocs = linspace(vmin, vmax, self.numticks)
+ ticklocs = npy.linspace(vmin, vmax, self.numticks)
return ticklocs
@@ -712,7 +715,7 @@
vmin = math.floor(scale*vmin)/scale
vmax = math.ceil(scale*vmax)/scale
- return nonsingular(vmin, vmax)
+ return mtrans.nonsingular(vmin, vmax)
def closeto(x,y):
@@ -776,9 +779,8 @@
if vmax<vmin:
vmin, vmax = vmax, vmin
vmin = self._base.ge(vmin)
-
- locs = frange(vmin, vmax+0.001*self._base.get_base(), self._base.get_base())
-
+ base = self._base.get_base()
+ locs = mlab.frange(vmin, vmax+0.001*base, base)
return locs
def autoscale(self):
@@ -796,7 +798,7 @@
vmin -=1
vmax +=1
- return nonsingular(vmin, vmax)
+ return mtrans.nonsingular(vmin, vmax)
def scale_range(vmin, vmax, n = 1, threshold=100):
dv = abs(vmax - vmin)
@@ -858,20 +860,20 @@
if self._trim:
extra_bins = int(divmod((best_vmax - vmax), step)[0])
nbins -= extra_bins
- return (arange(nbins+1) * step + best_vmin + offset)
+ return (npy.arange(nbins+1) * step + best_vmin + offset)
def __call__(self):
self.verify_intervals()
vmin, vmax = self.viewInterval.get_bounds()
- vmin, vmax = nonsingular(vmin, vmax, expander = 0.05)
+ vmin, vmax = mtrans.nonsingular(vmin, vmax, expander = 0.05)
return self.bin_boundaries(vmin, vmax)
def autoscale(self):
self.verify_intervals()
dmin, dmax = self.dataInterval.get_bounds()
- dmin, dmax = nonsingular(dmin, dmax, expander = 0.05)
- return take(self.bin_boundaries(dmin, dmax), [0,-1])
+ dmin, dmax = mtrans.nonsingular(dmin, dmax, expander = 0.05)
+ return npy.take(self.bin_boundaries(dmin, dmax), [0,-1])
def decade_down(x, base=10):
@@ -915,7 +917,7 @@
if subs is None:
self._subs = None # autosub
else:
- self._subs = array(subs)+0.0
+ self._subs = npy.asarray(subs)+0.0
def _set_numticks(self):
self.numticks = 15 # todo; be smart here; this is just for dev
@@ -936,9 +938,9 @@
numdec = math.floor(vmax)-math.ceil(vmin)
if self._subs is None: # autosub
- if numdec>10: subs = array([1.0])
- elif numdec>6: subs = arange(2.0, b, 2.0)
- else: subs = arange(2.0, b)
+ if numdec>10: subs = npy.array([1.0])
+ elif numdec>6: subs = npy.arange(2.0, b, 2.0)
+ else: subs = npy.arange(2.0, b)
else:
subs = self._subs
@@ -946,10 +948,11 @@
while numdec/stride+1 > self.numticks:
stride += 1
- for decadeStart in b**arange(math.floor(vmin),math.ceil(vmax)+stride, stride):
+ for decadeStart in b**npy.arange(math.floor(vmin),
+ math.ceil(vmax)+stride, stride):
ticklocs.extend( subs*decadeStart )
- return array(ticklocs)
+ return npy.array(ticklocs)
def autoscale(self):
'Try to choose the view limits intelligently'
@@ -970,7 +973,7 @@
if vmin==vmax:
vmin = decade_down(vmin,self._base)
vmax = decade_up(vmax,self._base)
- return nonsingular(vmin, vmax)
+ return mtrans.nonsingular(vmin, vmax)
class AutoLocator(MaxNLocator):
def __init__(self):
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