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00001 """
Some io tools for excel -- requires pypyExcelerator

Example usage:

    import matplotlib.mlab as mlab
    import matplotlib.toolkits.exceltools as exceltools
    r = mlab.csv2rec('somefile.csv', checkrows=0)

    formatd = dict(
        weight = mlab.FormatFloat(2),
        change = mlab.FormatPercent(2),
        cost   = mlab.FormatThousands(2),

    exceltools.rec2excel(r, 'test.xls', formatd=formatd)
    mlab.rec2csv(r, 'test.csv', formatd=formatd)

import copy
import numpy as npy
import pyExcelerator as excel
import matplotlib.cbook as cbook
import matplotlib.mlab as mlab

00029 def xlformat_factory(format):
    copy the format, perform any overrides, and attach an xlstyle instance
    copied format is returned
    format = copy.deepcopy(format)

    xlstyle = excel.XFStyle()
    if isinstance(format, mlab.FormatPercent):
       zeros = ''.join(['0']*format.precision)
       xlstyle.num_format_str = '0.%s%%;[RED]-0.%s%%'%(zeros, zeros)
       format.scale = 1.
    elif isinstance(format, mlab.FormatFloat):
        zeros = ''.join(['0']*format.precision)
        xlstyle.num_format_str = '#,##0.%s;[RED]-#,##0.%s'%(zeros, zeros)
    elif isinstance(format, mlab.FormatInt):
        xlstyle.num_format_str = '#,##;[RED]-#,##'
        xlstyle = None

    format.xlstyle = xlstyle

    return format

00055 def rec2excel(r, ws, formatd=None, rownum=0, colnum=0):
    save record array r to excel pyExcelerator worksheet ws
    starting at rownum.  if ws is string like, assume it is a
    filename and save to it

    start writing at rownum, colnum

    formatd is a dictionary mapping dtype name -> mlab.Format instances

    The next rownum after writing is returned

    autosave = False
    if cbook.is_string_like(ws):
        filename = ws
        wb = excel.Workbook()
        ws = wb.add_sheet('worksheet')
        autosave = True

    if formatd is None:
        formatd = dict()

    formats = []
    font = excel.Font()
    font.bold = True

    stylehdr = excel.XFStyle()
    stylehdr.font = font

    for i, name in enumerate(r.dtype.names):
        dt = r.dtype[name]
        format = formatd.get(name)
        if format is None:
            format = mlab.defaultformatd.get(dt.type, mlab.FormatObj())

        format = xlformat_factory(format)
        ws.write(rownum, colnum+i, name, stylehdr)


    ind = npy.arange(len(r.dtype.names))
    for row in r:
        for i in ind:
            val = row[i]
            format = formats[i]
            val = format.toval(val)
            if format.xlstyle is None:
                ws.write(rownum, colnum+i, val)
                if mlab.safe_isnan(val):
                    ws.write(rownum, colnum+i, 'NaN')
                    ws.write(rownum, colnum+i, val, format.xlstyle)
        rownum += 1

    if autosave:
    return rownum

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