python-reportlab 2.5-1.1build1 / usr / share / pyshared / reportlab / graphics / charts / utils.py

#Copyright ReportLab Europe Ltd. 2000-2004
#see license.txt for license details
#history http://www.reportlab.co.uk/cgi-bin/viewcvs.cgi/public/reportlab/trunk/reportlab/graphics/charts/utils.py

__version__=''' $Id: utils.py 3746 2010-07-21 10:32:55Z rgbecker $ '''
__doc__="Utilities used here and there."
from time import mktime, gmtime, strftime

### Dinu's stuff used in some line plots (likely to vansih).

def mkTimeTuple(timeString):
    "Convert a 'dd/mm/yyyy' formatted string to a tuple for use in the time module."

    list = [0] * 9
    dd, mm, yyyy = map(int, timeString.split('/'))
    list[:3] = [yyyy, mm, dd]

    return tuple(list)


def str2seconds(timeString):
    "Convert a number of seconds since the epoch into a date string."

    return mktime(mkTimeTuple(timeString))


def seconds2str(seconds):
    "Convert a date string into the number of seconds since the epoch."

    return strftime('%Y-%m-%d', gmtime(seconds))


### Aaron's rounding function for making nice values on axes.

from math import log10

def nextRoundNumber(x):
    """Return the first 'nice round number' greater than or equal to x

    Used in selecting apropriate tick mark intervals; we say we want
    an interval which places ticks at least 10 points apart, work out
    what that is in chart space, and ask for the nextRoundNumber().
    Tries the series 1,2,5,10,20,50,100.., going up or down as needed.
    """

    #guess to nearest order of magnitude
    if x in (0, 1):
        return x

    if x < 0:
        return -1.0 * nextRoundNumber(-x)
    else:
        lg = int(log10(x))

        if lg == 0:
            if x < 1:
                base = 0.1
            else:
                base = 1.0
        elif lg < 0:
            base = 10.0 ** (lg - 1)
        else:
            base = 10.0 ** lg    # e.g. base(153) = 100
        # base will always be lower than x

        if base >= x:
            return base * 1.0
        elif (base * 2) >= x:
            return base * 2.0
        elif (base * 5) >= x:
            return base * 5.0
        else:
            return base * 10.0


### Robin's stuff from rgb_ticks.

from math import log10, floor

_intervals=(.1, .2, .25, .5)
_j_max=len(_intervals)-1


def find_interval(lo,hi,I=5):
    'determine tick parameters for range [lo, hi] using I intervals'

    if lo >= hi:
        if lo==hi:
            if lo==0:
                lo = -.1
                hi =  .1
            else:
                lo = 0.9*lo
                hi = 1.1*hi
        else:
            raise ValueError, "lo>hi"
    x=(hi - lo)/float(I)
    b= (x>0 and (x<1 or x>10)) and 10**floor(log10(x)) or 1
    b = b
    while 1:
        a = x/b
        if a<=_intervals[-1]: break
        b = b*10

    j = 0
    while a>_intervals[j]: j = j + 1

    while 1:
        ss = _intervals[j]*b
        n = lo/ss
        l = int(n)-(n<0)
        n = ss*l
        x = ss*(l+I)
        a = I*ss
        if n>0:
            if a>=hi:
                n = 0.0
                x = a
        elif hi<0:
            a = -a
            if lo>a:
                n = a
                x = 0
        if hi<=x and n<=lo: break
        j = j + 1
        if j>_j_max:
            j = 0
            b = b*10
    return n, x, ss, lo - n + x - hi


def find_good_grid(lower,upper,n=(4,5,6,7,8,9), grid=None):
    if grid:
        t = divmod(lower,grid)[0] * grid
        hi, z = divmod(upper,grid)
        if z>1e-8: hi = hi+1
        hi = hi*grid
    else:
        try:
            n[0]
        except TypeError:
            n = xrange(max(1,n-2),max(n+3,2))

        w = 1e308
        for i in n:
            z=find_interval(lower,upper,i)
            if z[3]<w:
                t, hi, grid = z[:3]
                w=z[3]
    return t, hi, grid


def ticks(lower, upper, n=(4,5,6,7,8,9), split=1, percent=0, grid=None, labelVOffset=0):
    '''
    return tick positions and labels for range lower<=x<=upper
    n=number of intervals to try (can be a list or sequence)
    split=1 return ticks then labels else (tick,label) pairs
    '''
    t, hi, grid = find_good_grid(lower, upper, n, grid)
    power = floor(log10(grid))
    if power==0: power = 1
    w = grid/10.**power
    w = int(w)!=w

    if power > 3 or power < -3:
        format = '%+'+repr(w+7)+'.0e'
    else:
        if power >= 0:
            digits = int(power)+w
            format = '%' + repr(digits)+'.0f'
        else:
            digits = w-int(power)
            format = '%'+repr(digits+2)+'.'+repr(digits)+'f'

    if percent: format=format+'%%'
    T = []
    n = int(float(hi-t)/grid+0.1)+1
    if split:
        labels = []
        for i in xrange(n):
            v = t+grid*i
            T.append(v)
            labels.append(format % (v+labelVOffset))
        return T, labels
    else:
        for i in xrange(n):
            v = t+grid*i
            T.append((v, format % (v+labelVOffset)))
        return T

def findNones(data):
    m = len(data)
    if None in data:
        b = 0
        while b<m and data[b] is None:
            b += 1
        if b==m: return data
        l = m-1
        while data[l] is None:
            l -= 1
        l+=1
        if b or l: data = data[b:l]
        I = [i for i in xrange(len(data)) if data[i] is None]
        for i in I:
            data[i] = 0.5*(data[i-1]+data[i+1])
        return b, l, data
    return 0,m,data

def pairFixNones(pairs):
    Y = [x[1] for x in pairs]
    b,l,nY = findNones(Y)
    m = len(Y)
    if b or l<m or nY!=Y:
        if b or l<m: pairs = pairs[b:l]
        pairs = [(x[0],y) for x,y in zip(pairs,nY)]
    return pairs

def maverage(data,n=6):
    data = (n-1)*[data[0]]+data
    data = [float(sum(data[i-n:i]))/n for i in xrange(n,len(data)+1)]
    return data

def pairMaverage(data,n=6):
    return [(x[0],s) for x,s in zip(data, maverage([x[1] for x in data],n))]

import weakref
from reportlab.graphics.shapes import transformPoint, transformPoints, inverse, Ellipse
from reportlab.lib.utils import flatten
class DrawTimeCollector(object):
    '''
    generic mechanism for collecting information about nodes at the time they are about to be drawn
    '''
    def __init__(self,formats=['gif']):
        self._nodes = weakref.WeakKeyDictionary()
        self.clear()
        self._pmcanv = None
        self.formats = formats
        self.disabled = False

    def clear(self):
        self._info = []
        self._info_append = self._info.append

    def record(self,func,node,*args,**kwds):
        self._nodes[node] = (func,args,kwds)
        node.__dict__['_drawTimeCallback'] = self

    def __call__(self,node,canvas,renderer):
        func = self._nodes.get(node,None)
        if func:
            func, args, kwds = func
            i = func(node,canvas,renderer, *args, **kwds)
            if i is not None: self._info_append(i)

    @staticmethod
    def rectDrawTimeCallback(node,canvas,renderer,**kwds):
        A = getattr(canvas,'ctm',None)
        if not A: return
        x1 = node.x
        y1 = node.y
        x2 = x1 + node.width
        y2 = y1 + node.height

        D = kwds.copy()
        D['rect']=DrawTimeCollector.transformAndFlatten(A,((x1,y1),(x2,y2)))
        return D

    @staticmethod
    def transformAndFlatten(A,p):
        ''' transform an flatten a list of points
        A   transformation matrix
        p   points [(x0,y0),....(xk,yk).....]
        '''
        if tuple(A)!=(1,0,0,1,0,0):
            iA = inverse(A)
            p = transformPoints(iA,p)
        return tuple(flatten(p))

    @property
    def pmcanv(self):
        if not self._pmcanv:
            import renderPM
            self._pmcanv = renderPM.PMCanvas(1,1)
        return self._pmcanv

    def wedgeDrawTimeCallback(self,node,canvas,renderer,**kwds):
        A = getattr(canvas,'ctm',None)
        if not A: return
        if isinstance(node,Ellipse):
            c = self.pmcanv
            c.ellipse(node.cx, node.cy, node.rx,node.ry)
            p = c.vpath
            p = [(x[1],x[2]) for x in p]
        else:
            p = node.asPolygon().points
            p = [(p[i],p[i+1]) for i in xrange(0,len(p),2)]

        D = kwds.copy()
        D['poly'] = self.transformAndFlatten(A,p)
        return D

    def save(self,fnroot):
        '''
        save the current information known to this collector
        fnroot is the root name of a resource to name the saved info
        override this to get the right semantics for your collector
        '''
        import pprint
        f=open(fnroot+'.default-collector.out','w')
        try:
            pprint.pprint(self._info,f)
        finally:
            f.close()