def __call__(self, column):
ind = []
dsu = []
for rownum, thisiter in enumerate(self.parent.iters):
val = model.get_value(thisiter, self.i)
try: val = float(val.strip().rstrip('%'))
except ValueError: pass
if mlab.safe_isnan(val): val = npy.inf # force nan to sort uniquely
dsu.append((val, rownum))
dsu.sort()
if not self.num%2: dsu.reverse()
vals, otherind = list(zip(*dsu))
ind.extend(otherind)
self.parent.model.reorder(ind)
newiters = []
for i in ind:
newiters.append(self.parent.iters[i])
self.parent.iters = newiters[:]
for i, thisiter in enumerate(self.parent.iters):
key = tuple([self.parent.model.get_value(thisiter, j) for j in range(len(colheaders))])
self.parent.rownumd[i] = key
self.num+=1
def __call__(self, column):
ind = []
dsu = []
for rownum, thisiter in enumerate(self.parent.iters):
val = model.get_value(thisiter, self.i)
try:
val = float(val.strip().rstrip('%'))
except ValueError:
pass
if mlab.safe_isnan(val):
val = npy.inf # force nan to sort uniquely
dsu.append((val, rownum))
dsu.sort()
if not self.num % 2: dsu.reverse()
vals, otherind = zip(*dsu)
ind.extend(otherind)
self.parent.model.reorder(ind)
newiters = []
for i in ind:
newiters.append(self.parent.iters[i])
self.parent.iters = newiters[:]
for i, thisiter in enumerate(self.parent.iters):
key = tuple([
self.parent.model.get_value(thisiter, j)
for j in range(len(colheaders))
])
self.parent.rownumd[i] = key
self.num += 1
def rec2excel(r,
ws,
formatd=None,
rownum=0,
colnum=0,
nanstr='NaN',
infstr='Inf'):
"""
save record array r to excel xlwt 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
nanstr is the string that mpl will put into excel for np.nan value
The next rownum after writing is returned
"""
autosave = False
if isinstance(ws, six.string_types):
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)
formats.append(format)
rownum += 1
ind = np.arange(len(r.dtype.names))
for row in r:
for i in ind:
val = row[i]
format = formats[i]
val = format.toval(val)
if mlab.safe_isnan(val):
ws.write(rownum, colnum + i, nanstr)
elif mlab.safe_isinf(val):
sgn = np.sign(val)
if sgn > 0: s = infstr
else: s = '-%s' % infstr
ws.write(rownum, colnum + i, s)
elif format.xlstyle is None:
ws.write(rownum, colnum + i, val)
else:
ws.write(rownum, colnum + i, val, format.xlstyle)
rownum += 1
if autosave:
wb.save(filename)
return rownum
def rec2excel(r, ws, formatd=None, rownum=0, colnum=0, nanstr='NaN', infstr='Inf'):
"""
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
nanstr is the string that mpl will put into excel for np.nan value
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)
formats.append(format)
rownum+=1
ind = np.arange(len(r.dtype.names))
for row in r:
for i in ind:
val = row[i]
format = formats[i]
val = format.toval(val)
if mlab.safe_isnan(val):
ws.write(rownum, colnum+i, nanstr)
elif mlab.safe_isinf(val):
sgn = np.sign(val)
if sgn<0: s = infstr
else: s = '-%s'%infstr
ws.write(rownum, colnum+i, s)
elif format.xlstyle is None:
ws.write(rownum, colnum+i, val)
else:
ws.write(rownum, colnum+i, val, format.xlstyle)
rownum += 1
if autosave:
wb.save(filename)
return rownum
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)
formats.append(format)
rownum+=1
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)
else:
if mlab.safe_isnan(val):
ws.write(rownum, colnum+i, 'NaN')
elif mlab.safe_isinf(val):
if val<0: sign='-'
else: sign='+'
ws.write(rownum, colnum+i, '%sInf'%sign)
else:
ws.write(rownum, colnum+i, val, format.xlstyle)
rownum += 1
if autosave:
wb.save(filename)
return rownum