def _parse_char_metrics(fh):
"""
Return a character metric dictionary. Keys are the ASCII num of
the character, values are a (*wx*, *name*, *bbox*) tuple, where
*wx* is the character width, *name* is the postscript language
name, and *bbox* is a (*llx*, *lly*, *urx*, *ury*) tuple.
This function is incomplete per the standard, but thus far parses
all the sample afm files tried.
"""
ascii_d = {}
name_d = {}
while 1:
line = fh.readline()
if not line:
break
line = line.rstrip().decode('ascii') # Convert from byte-literal
if line.startswith('EndCharMetrics'):
return ascii_d, name_d
# Split the metric line into a dictonary, keyed by metric identifiers
vals = filter(lambda s: len(s) > 0, line.split(';'))
vals = dict(map(lambda s: tuple(s.strip().split(' ', 1)), vals))
# There may be other metrics present, but only these are needed
if any([id not in vals.keys() for id in ('C', 'WX', 'N', 'B')]):
raise RuntimeError('Bad char metrics line: %s' % line)
num = _to_int(vals['C'])
wx = _to_float(vals['WX'])
name = vals['N']
bbox = _to_list_of_floats(vals['B'])
bbox = list(map(int, bbox))
# Workaround: If the character name is 'Euro', give it the
# corresponding character code, according to WinAnsiEncoding (see PDF
# Reference).
if name == 'Euro':
num = 128
if num != -1:
ascii_d[num] = (wx, name, bbox)
name_d[name] = (wx, bbox)
raise RuntimeError('Bad parse')
def _parse_char_metrics(fh):
"""
Return a character metric dictionary. Keys are the ASCII num of
the character, values are a (*wx*, *name*, *bbox*) tuple, where
*wx* is the character width, *name* is the postscript language
name, and *bbox* is a (*llx*, *lly*, *urx*, *ury*) tuple.
This function is incomplete per the standard, but thus far parses
all the sample afm files tried.
"""
ascii_d = {}
name_d = {}
while 1:
line = fh.readline()
if not line:
break
line = line.rstrip().decode('ascii') # Convert from byte-literal
if line.startswith('EndCharMetrics'):
return ascii_d, name_d
# Split the metric line into a dictonary, keyed by metric identifiers
vals = filter(lambda s: len(s) > 0, line.split(';'))
vals = dict(map(lambda s: tuple(s.strip().split(' ', 1)), vals))
# There may be other metrics present, but only these are needed
if any([id not in vals.keys() for id in ('C', 'WX', 'N', 'B')]):
raise RuntimeError('Bad char metrics line: %s' % line)
num = _to_int(vals['C'])
wx = _to_float(vals['WX'])
name = vals['N']
bbox = _to_list_of_floats(vals['B'])
bbox = list(map(int, bbox))
# Workaround: If the character name is 'Euro', give it the
# corresponding character code, according to WinAnsiEncoding (see PDF
# Reference).
if name == 'Euro':
num = 128
if num != -1:
ascii_d[num] = (wx, name, bbox)
name_d[name] = (wx, bbox)
raise RuntimeError('Bad parse')
def __init__(self, fig, *args, **kwargs):
"""
*fig* is a :class:`matplotlib.figure.Figure` instance.
*args* is the tuple (*numRows*, *numCols*, *plotNum*), where
the array of subplots in the figure has dimensions *numRows*,
*numCols*, and where *plotNum* is the number of the subplot
being created. *plotNum* starts at 1 in the upper left
corner and increases to the right.
If *numRows* <= *numCols* <= *plotNum* < 10, *args* can be the
decimal integer *numRows* * 100 + *numCols* * 10 + *plotNum*.
"""
self.figure = fig
if len(args) == 1:
if isinstance(args[0], SubplotSpec):
self._subplotspec = args[0]
else:
try:
s = str(int(args[0]))
rows, cols, num = list(map(int, s))
except ValueError:
raise ValueError(
'Single argument to subplot must be a 3-digit '
'integer')
self._subplotspec = GridSpec(rows, cols)[num - 1]
# num - 1 for converting from MATLAB to python indexing
elif len(args) == 3:
rows, cols, num = args
rows = int(rows)
cols = int(cols)
if isinstance(num, tuple) and len(num) == 2:
num = [int(n) for n in num]
self._subplotspec = GridSpec(rows, cols)[num[0] - 1:num[1]]
else:
if num < 1 or num > rows*cols:
raise ValueError(
"num must be 1 <= num <= {maxn}, not {num}".format(
maxn=rows*cols, num=num))
self._subplotspec = GridSpec(rows, cols)[int(num) - 1]
# num - 1 for converting from MATLAB to python indexing
else:
raise ValueError('Illegal argument(s) to subplot: %s' % (args,))
self.update_params()
# _axes_class is set in the subplot_class_factory
self._axes_class.__init__(self, fig, self.figbox, **kwargs)
def __init__(self, fig, *args, **kwargs):
"""
*fig* is a :class:`matplotlib.figure.Figure` instance.
*args* is the tuple (*numRows*, *numCols*, *plotNum*), where
the array of subplots in the figure has dimensions *numRows*,
*numCols*, and where *plotNum* is the number of the subplot
being created. *plotNum* starts at 1 in the upper left
corner and increases to the right.
If *numRows* <= *numCols* <= *plotNum* < 10, *args* can be the
decimal integer *numRows* * 100 + *numCols* * 10 + *plotNum*.
"""
self.figure = fig
if len(args) == 1:
if isinstance(args[0], SubplotSpec):
self._subplotspec = args[0]
else:
try:
s = str(int(args[0]))
rows, cols, num = list(map(int, s))
except ValueError:
raise ValueError(
'Single argument to subplot must be a 3-digit '
'integer')
self._subplotspec = GridSpec(rows, cols)[num - 1]
# num - 1 for converting from MATLAB to python indexing
elif len(args) == 3:
rows, cols, num = args
rows = int(rows)
cols = int(cols)
if isinstance(num, tuple) and len(num) == 2:
num = [int(n) for n in num]
self._subplotspec = GridSpec(rows, cols)[num[0] - 1:num[1]]
else:
if num < 1 or num > rows*cols:
raise ValueError(
"num must be 1 <= num <= {maxn}, not {num}".format(
maxn=rows*cols, num=num))
self._subplotspec = GridSpec(rows, cols)[int(num) - 1]
# num - 1 for converting from MATLAB to python indexing
else:
raise ValueError('Illegal argument(s) to subplot: %s' % (args,))
self.update_params()
# _axes_class is set in the subplot_class_factory
self._axes_class.__init__(self, fig, self.figbox, **kwargs)
def __init__(self, fig, *args, **kwargs):
"""
*fig* is a :class:`matplotlib.figure.Figure` instance.
*args* is the tuple (*numRows*, *numCols*, *plotNum*), where
the array of subplots in the figure has dimensions *numRows*,
*numCols*, and where *plotNum* is the number of the subplot
being created. *plotNum* starts at 1 in the upper left
corner and increases to the right.
If *numRows* <= *numCols* <= *plotNum* < 10, *args* can be the
decimal integer *numRows* * 100 + *numCols* * 10 + *plotNum*.
"""
self.figure = fig
if len(args) == 1:
if isinstance(args[0], SubplotSpec):
self._subplotspec = args[0]
else:
try:
s = str(int(args[0]))
rows, cols, num = list(map(int, s))
except ValueError:
raise ValueError(
'Single argument to subplot must be a 3-digit integer')
self._subplotspec = GridSpec(rows, cols)[num - 1]
# num - 1 for converting from MATLAB to python indexing
elif len(args) == 3:
rows, cols, num = args
rows = int(rows)
cols = int(cols)
if isinstance(num, tuple) and len(num) == 2:
num = [int(n) for n in num]
self._subplotspec = GridSpec(rows, cols)[num[0] - 1:num[1]]
else:
self._subplotspec = GridSpec(rows, cols)[int(num) - 1]
# num - 1 for converting from MATLAB to python indexing
else:
raise ValueError('Illegal argument(s) to subplot: %s' % (args, ))
# total = rows*cols
# num -= 1 # convert from matlab to python indexing
# # i.e., num in range(0,total)
# if num >= total:
# raise ValueError( 'Subplot number exceeds total subplots')
# self._rows = rows
# self._cols = cols
# self._num = num
# self.update_params()
# sets self.fixbox
self.update_params()
pos = self.figbox.bounds
horizontal = kwargs.pop("horizontal", [])
vertical = kwargs.pop("vertical", [])
aspect = kwargs.pop("aspect", None)
anchor = kwargs.pop("anchor", "C")
if kwargs:
raise Exception("")
Divider.__init__(self,
fig,
pos,
horizontal,
vertical,
aspect=aspect,
anchor=anchor)
def __init__(self, fig, *args, **kwargs):
"""
Parameters
----------
fig : :class:`matplotlib.figure.Figure`
args : tuple (*numRows*, *numCols*, *plotNum*)
The array of subplots in the figure has dimensions *numRows*,
*numCols*, and *plotNum* is the number of the subplot
being created. *plotNum* starts at 1 in the upper left
corner and increases to the right.
If *numRows* <= *numCols* <= *plotNum* < 10, *args* can be the
decimal integer *numRows* * 100 + *numCols* * 10 + *plotNum*.
"""
self.figure = fig
if len(args) == 1:
if isinstance(args[0], SubplotSpec):
self._subplotspec = args[0]
else:
try:
s = str(int(args[0]))
rows, cols, num = list(map(int, s))
except ValueError:
raise ValueError(
'Single argument to subplot must be a 3-digit integer')
self._subplotspec = GridSpec(rows, cols)[num-1]
# num - 1 for converting from MATLAB to python indexing
elif len(args) == 3:
rows, cols, num = args
rows = int(rows)
cols = int(cols)
if isinstance(num, tuple) and len(num) == 2:
num = [int(n) for n in num]
self._subplotspec = GridSpec(rows, cols)[num[0]-1:num[1]]
else:
self._subplotspec = GridSpec(rows, cols)[int(num)-1]
# num - 1 for converting from MATLAB to python indexing
else:
raise ValueError('Illegal argument(s) to subplot: %s' % (args,))
# total = rows*cols
# num -= 1 # convert from matlab to python indexing
# # i.e., num in range(0,total)
# if num >= total:
# raise ValueError( 'Subplot number exceeds total subplots')
# self._rows = rows
# self._cols = cols
# self._num = num
# self.update_params()
# sets self.fixbox
self.update_params()
pos = self.figbox.bounds
horizontal = kwargs.pop("horizontal", [])
vertical = kwargs.pop("vertical", [])
aspect = kwargs.pop("aspect", None)
anchor = kwargs.pop("anchor", "C")
if kwargs:
raise Exception("")
Divider.__init__(self, fig, pos, horizontal, vertical,
aspect=aspect, anchor=anchor)
def test_auto_date_locator():
def _create_auto_date_locator(date1, date2):
locator = mdates.AutoDateLocator()
locator.create_dummy_axis()
locator.set_view_interval(mdates.date2num(date1),
mdates.date2num(date2))
return locator
d1 = datetime.datetime(1990, 1, 1)
results = (
[
datetime.timedelta(weeks=52 * 200),
[
'1990-01-01 00:00:00+00:00', '2010-01-01 00:00:00+00:00',
'2030-01-01 00:00:00+00:00', '2050-01-01 00:00:00+00:00',
'2070-01-01 00:00:00+00:00', '2090-01-01 00:00:00+00:00',
'2110-01-01 00:00:00+00:00', '2130-01-01 00:00:00+00:00',
'2150-01-01 00:00:00+00:00', '2170-01-01 00:00:00+00:00'
]
],
[
datetime.timedelta(weeks=52),
[
'1990-01-01 00:00:00+00:00', '1990-02-01 00:00:00+00:00',
'1990-03-01 00:00:00+00:00', '1990-04-01 00:00:00+00:00',
'1990-05-01 00:00:00+00:00', '1990-06-01 00:00:00+00:00',
'1990-07-01 00:00:00+00:00', '1990-08-01 00:00:00+00:00',
'1990-09-01 00:00:00+00:00', '1990-10-01 00:00:00+00:00',
'1990-11-01 00:00:00+00:00', '1990-12-01 00:00:00+00:00'
]
],
[
datetime.timedelta(days=141),
[
'1990-01-05 00:00:00+00:00', '1990-01-26 00:00:00+00:00',
'1990-02-16 00:00:00+00:00', '1990-03-09 00:00:00+00:00',
'1990-03-30 00:00:00+00:00', '1990-04-20 00:00:00+00:00',
'1990-05-11 00:00:00+00:00'
]
],
[
datetime.timedelta(days=40),
[
'1990-01-03 00:00:00+00:00', '1990-01-10 00:00:00+00:00',
'1990-01-17 00:00:00+00:00', '1990-01-24 00:00:00+00:00',
'1990-01-31 00:00:00+00:00', '1990-02-07 00:00:00+00:00'
]
],
[
datetime.timedelta(hours=40),
[
'1990-01-01 00:00:00+00:00', '1990-01-01 04:00:00+00:00',
'1990-01-01 08:00:00+00:00', '1990-01-01 12:00:00+00:00',
'1990-01-01 16:00:00+00:00', '1990-01-01 20:00:00+00:00',
'1990-01-02 00:00:00+00:00', '1990-01-02 04:00:00+00:00',
'1990-01-02 08:00:00+00:00', '1990-01-02 12:00:00+00:00',
'1990-01-02 16:00:00+00:00'
]
],
[
datetime.timedelta(minutes=20),
[
'1990-01-01 00:00:00+00:00', '1990-01-01 00:05:00+00:00',
'1990-01-01 00:10:00+00:00', '1990-01-01 00:15:00+00:00',
'1990-01-01 00:20:00+00:00'
]
],
[
datetime.timedelta(seconds=40),
[
'1990-01-01 00:00:00+00:00', '1990-01-01 00:00:05+00:00',
'1990-01-01 00:00:10+00:00', '1990-01-01 00:00:15+00:00',
'1990-01-01 00:00:20+00:00', '1990-01-01 00:00:25+00:00',
'1990-01-01 00:00:30+00:00', '1990-01-01 00:00:35+00:00',
'1990-01-01 00:00:40+00:00'
]
],
[
datetime.timedelta(microseconds=1500),
[
'1989-12-31 23:59:59.999507+00:00',
'1990-01-01 00:00:00+00:00',
'1990-01-01 00:00:00.000502+00:00',
'1990-01-01 00:00:00.001005+00:00',
'1990-01-01 00:00:00.001508+00:00'
]
],
)
for t_delta, expected in results:
d2 = d1 + t_delta
locator = _create_auto_date_locator(d1, d2)
assert_equal(list(map(str, mdates.num2date(locator()))), expected)
def test_auto_date_locator():
def _create_auto_date_locator(date1, date2):
locator = mdates.AutoDateLocator()
locator.create_dummy_axis()
locator.set_view_interval(mdates.date2num(date1),
mdates.date2num(date2))
return locator
d1 = datetime.datetime(1990, 1, 1)
results = ([datetime.timedelta(weeks=52 * 200),
['1990-01-01 00:00:00+00:00', '2010-01-01 00:00:00+00:00',
'2030-01-01 00:00:00+00:00', '2050-01-01 00:00:00+00:00',
'2070-01-01 00:00:00+00:00', '2090-01-01 00:00:00+00:00',
'2110-01-01 00:00:00+00:00', '2130-01-01 00:00:00+00:00',
'2150-01-01 00:00:00+00:00', '2170-01-01 00:00:00+00:00']
],
[datetime.timedelta(weeks=52),
['1990-01-01 00:00:00+00:00', '1990-02-01 00:00:00+00:00',
'1990-03-01 00:00:00+00:00', '1990-04-01 00:00:00+00:00',
'1990-05-01 00:00:00+00:00', '1990-06-01 00:00:00+00:00',
'1990-07-01 00:00:00+00:00', '1990-08-01 00:00:00+00:00',
'1990-09-01 00:00:00+00:00', '1990-10-01 00:00:00+00:00',
'1990-11-01 00:00:00+00:00', '1990-12-01 00:00:00+00:00']
],
[datetime.timedelta(days=141),
['1990-01-05 00:00:00+00:00', '1990-01-26 00:00:00+00:00',
'1990-02-16 00:00:00+00:00', '1990-03-09 00:00:00+00:00',
'1990-03-30 00:00:00+00:00', '1990-04-20 00:00:00+00:00',
'1990-05-11 00:00:00+00:00']
],
[datetime.timedelta(days=40),
['1990-01-03 00:00:00+00:00', '1990-01-10 00:00:00+00:00',
'1990-01-17 00:00:00+00:00', '1990-01-24 00:00:00+00:00',
'1990-01-31 00:00:00+00:00', '1990-02-07 00:00:00+00:00']
],
[datetime.timedelta(hours=40),
['1990-01-01 00:00:00+00:00', '1990-01-01 04:00:00+00:00',
'1990-01-01 08:00:00+00:00', '1990-01-01 12:00:00+00:00',
'1990-01-01 16:00:00+00:00', '1990-01-01 20:00:00+00:00',
'1990-01-02 00:00:00+00:00', '1990-01-02 04:00:00+00:00',
'1990-01-02 08:00:00+00:00', '1990-01-02 12:00:00+00:00',
'1990-01-02 16:00:00+00:00']
],
[datetime.timedelta(minutes=20),
['1990-01-01 00:00:00+00:00', '1990-01-01 00:05:00+00:00',
'1990-01-01 00:10:00+00:00', '1990-01-01 00:15:00+00:00',
'1990-01-01 00:20:00+00:00']
],
[datetime.timedelta(seconds=40),
['1990-01-01 00:00:00+00:00', '1990-01-01 00:00:05+00:00',
'1990-01-01 00:00:10+00:00', '1990-01-01 00:00:15+00:00',
'1990-01-01 00:00:20+00:00', '1990-01-01 00:00:25+00:00',
'1990-01-01 00:00:30+00:00', '1990-01-01 00:00:35+00:00',
'1990-01-01 00:00:40+00:00']
],
[datetime.timedelta(microseconds=1500),
['1989-12-31 23:59:59.999507+00:00',
'1990-01-01 00:00:00+00:00',
'1990-01-01 00:00:00.000502+00:00',
'1990-01-01 00:00:00.001005+00:00',
'1990-01-01 00:00:00.001508+00:00']
],
)
for t_delta, expected in results:
d2 = d1 + t_delta
locator = _create_auto_date_locator(d1, d2)
assert_equal(list(map(str, mdates.num2date(locator()))),
expected)
