Package qubx :: Module select

Module select

Charts and stats

QUB Express is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

QUB Express is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License, named LICENSE.txt, in the QUB Express program directory. If not, see <http://www.gnu.org/licenses/>.

Version: 1.3.0

Classes

[hide private]

CriteriaDialog

HistPlot

OnePlot

SelectCursor

SelectFace

SelectPlot

TwoPlot

XMeansCursor

XMeansPlot

Functions

[hide private]

AllPointsHistogram(yy, bin_count)

FieldLabel(table, field_name, is_log)

distance(x1, y1, x2, y2)
Returns the Euclidean distance between (x1, y1) and (x2, y2).

make_bins(lo, hi, n)
Returns (bins, bin_width) as (numpy.array[n], float).

rect_increasing(x0, y0, x1, y1)

rows_meeting_criteria(table, expr, row_count=None)

Variables

[hide private]

ALLOW_THREADS = 1

BUFSIZE = 10000

CENTROID_ALPHA = 0.2

CLIP = 0

COLOR_ACTIONS = ('select.actions', (0, 1, 0, 1))

COLOR_EMPTY_BG = ('select.empty.bg', (1, 1, 1, 1))

COLOR_EMPTY_BTN = ('select.empty.btn', (0.7, 0, 0.1, 1))

COLOR_EMPTY_TEXT = ('select.empty.text', (0.1, 0, 0, 1))

COLOR_PRESETS = ('select.presets', (0.3, 0.3, 1, 1))

CRITERIA_HELP = 'Enter a boolean expression such as\n (...

DRAG_ALPHA = 0.25

DRAG_BORDER_ALPHA = 0.5

ERR_CALL = 3

ERR_DEFAULT = 0

ERR_DEFAULT2 = 2084

ERR_IGNORE = 0

ERR_LOG = 5

ERR_PRINT = 4

ERR_RAISE = 2

ERR_WARN = 1

FLOATING_POINT_SUPPORT = 1

FPE_DIVIDEBYZERO = 1

FPE_INVALID = 8

FPE_OVERFLOW = 2

FPE_UNDERFLOW = 4

False_ = False

Inf = inf

Infinity = inf

MAXDIMS = 32

MENU_STRAYDIUS = 2

MENU_TIMEOUT = 360

NAN = nan

NINF = -inf

NZERO = -0.0

NaN = nan

PINF = inf

PZERO = 0.0

RAISE = 2

RECENT_COUNT = 5

SHIFT_DIVIDEBYZERO = 0

SHIFT_INVALID = 9

SHIFT_OVERFLOW = 3

SHIFT_UNDERFLOW = 6

ScalarType = (<type 'int'>, <type 'float'>, <type 'complex'>, ...

ShowDropped = False

True_ = True

UFUNC_BUFSIZE_DEFAULT = 10000

UFUNC_PYVALS_NAME = 'UFUNC_PYVALS'

UNSET_VALUE = 86738.82583

VERSION = '1.3.9'

WRAP = 1

XMEANS_WEIGHT_HELP = 'Enter an expression such as\n Wei...

__package__ = 'qubx'

absolute = <ufunc 'absolute'>

add = <ufunc 'add'>

arccos = <ufunc 'arccos'>

arccosh = <ufunc 'arccosh'>

arcsin = <ufunc 'arcsin'>

arcsinh = <ufunc 'arcsinh'>

arctan = <ufunc 'arctan'>

arctan2 = <ufunc 'arctan2'>

arctanh = <ufunc 'arctanh'>

bitwise_and = <ufunc 'bitwise_and'>

bitwise_not = <ufunc 'invert'>

bitwise_or = <ufunc 'bitwise_or'>

bitwise_xor = <ufunc 'bitwise_xor'>

c_ = <numpy.lib.index_tricks.CClass object at 0x914c64c>

cast = {<type 'numpy.int64'>: <function <lambda> at 0x90c81b4>...

ceil = <ufunc 'ceil'>

conj = <ufunc 'conjugate'>

conjugate = <ufunc 'conjugate'>

cos = <ufunc 'cos'>

cosh = <ufunc 'cosh'>

deg2rad = <ufunc 'deg2rad'>

degrees = <ufunc 'degrees'>

divide = <ufunc 'divide'>

e = 2.71828182846

equal = <ufunc 'equal'>

exp = <ufunc 'exp'>

exp2 = <ufunc 'exp2'>

expm1 = <ufunc 'expm1'>

fabs = <ufunc 'fabs'>

floor = <ufunc 'floor'>

floor_divide = <ufunc 'floor_divide'>

fmax = <ufunc 'fmax'>

fmin = <ufunc 'fmin'>

fmod = <ufunc 'fmod'>

frexp = <ufunc 'frexp'>

greater = <ufunc 'greater'>

greater_equal = <ufunc 'greater_equal'>

hypot = <ufunc 'hypot'>

index_exp = <numpy.lib.index_tricks.IndexExpression object at ...

inf = inf

infty = inf

invert = <ufunc 'invert'>

isfinite = <ufunc 'isfinite'>

isinf = <ufunc 'isinf'>

isnan = <ufunc 'isnan'>

ldexp = <ufunc 'ldexp'>

left_shift = <ufunc 'left_shift'>

less = <ufunc 'less'>

less_equal = <ufunc 'less_equal'>

little_endian = True

log = <ufunc 'log'>

log10 = <ufunc 'log10'>

log1p = <ufunc 'log1p'>

logaddexp = <ufunc 'logaddexp'>

logaddexp2 = <ufunc 'logaddexp2'>

logical_and = <ufunc 'logical_and'>

logical_not = <ufunc 'logical_not'>

logical_or = <ufunc 'logical_or'>

logical_xor = <ufunc 'logical_xor'>

main_globals = {'GInitiallyUnowned': <class 'gtk.__main__.GIni...

maximum = <ufunc 'maximum'>

mgrid = <numpy.lib.index_tricks.nd_grid object at 0x914c52c>

minimum = <ufunc 'minimum'>

mod = <ufunc 'remainder'>

modf = <ufunc 'modf'>

multiply = <ufunc 'multiply'>

name_float = 'a number'

name_int = 'an integer'

nan = nan

nbytes = {<type 'numpy.int64'>: 8, <type 'numpy.int16'>: 2, <t...

negative = <ufunc 'negative'>

newaxis = None
hash(x)

not_equal = <ufunc 'not_equal'>

ogrid = <numpy.lib.index_tricks.nd_grid object at 0x914c54c>

ones_like = <ufunc 'ones_like'>

pi = 3.14159265359

power = <ufunc 'power'>

r_ = <numpy.lib.index_tricks.RClass object at 0x914c5cc>

rad2deg = <ufunc 'rad2deg'>

radians = <ufunc 'radians'>

reciprocal = <ufunc 'reciprocal'>

remainder = <ufunc 'remainder'>

right_shift = <ufunc 'right_shift'>

rint = <ufunc 'rint'>

s_ = <numpy.lib.index_tricks.IndexExpression object at 0x914c7ec>

sctypeDict = {0: <type 'numpy.bool_'>, 1: <type 'numpy.int8'>,...

sctypeNA = {'?': 'Bool', 'B': 'UInt8', 'Bool': <type 'numpy.bo...

sctypes = {'complex': [<type 'numpy.complex64'>, <type 'numpy....

sign = <ufunc 'sign'>

signbit = <ufunc 'signbit'>

sin = <ufunc 'sin'>

sinh = <ufunc 'sinh'>

sqrt = <ufunc 'sqrt'>

square = <ufunc 'square'>

subtract = <ufunc 'subtract'>

tan = <ufunc 'tan'>

tanh = <ufunc 'tanh'>

true_divide = <ufunc 'true_divide'>

trunc = <ufunc 'trunc'>

typeDict = {0: <type 'numpy.bool_'>, 1: <type 'numpy.int8'>, 2...

typeNA = {'?': 'Bool', 'B': 'UInt8', 'Bool': <type 'numpy.bool...

typecodes = {'All': '?bhilqpBHILQPfdgFDGSUVO', 'AllFloat': 'fd...

Variables Details

[hide private]

CRITERIA_HELP

Value:

'''Enter a boolean expression such as
        (Group == 1) and (Amp_1 > 2.0)

These names are available:
     field_name                    -- val. of field in this row; repla
ce spaces with underscores; match capitalization
     row["field name"]             -- value of field in this row
     field_mean("field name")      -- mean value of field
...

ScalarType

Value:

(<type 'int'>,
 <type 'float'>,
 <type 'complex'>,
 <type 'long'>,
 <type 'bool'>,
 <type 'str'>,
 <type 'unicode'>,
 <type 'buffer'>,
...

XMEANS_WEIGHT_HELP

Value:

'''Enter an expression such as
        Weight
 or     1.0 / Std_1
 or     Std_1 and (1.0 / Std_1) or 0.0        (avoids division by zero
)

These names are available:
     field_name                    -- val. of field in this row; repla
...

cast

Value:

{<type 'numpy.int64'>: <function <lambda> at 0x90c81b4>, <type 'numpy.
int16'>: <function <lambda> at 0x90c81ec>, <type 'numpy.object_'>: <fu
nction <lambda> at 0x90c8224>, <type 'numpy.uint32'>: <function <lambd
a> at 0x90c825c>, <type 'numpy.bool_'>: <function <lambda> at 0x90c829
4>, <type 'numpy.float96'>: <function <lambda> at 0x90c82cc>, <type 'n
umpy.int32'>: <function <lambda> at 0x90c8304>, <type 'numpy.string_'>
: <function <lambda> at 0x90c833c>, <type 'numpy.uint32'>: <function <
lambda> at 0x90c8374>, <type 'numpy.complex64'>: <function <lambda> at
...

index_exp

Value:

<numpy.lib.index_tricks.IndexExpression object at 0x914c7ac>

main_globals

Value:

{'GInitiallyUnowned': <class 'gtk.__main__.GInitiallyUnowned'>,
 '__builtins__': <module '__builtin__' (built-in)>,
 '__doc__': None,
 '__file__': '/usr/bin/epydoc',
 '__name__': '__main__',
 '__package__': None,
 'cli': <function cli at 0x87bf3e4>,
 'os': <module 'os' from '/usr/lib/python2.6/os.pyc'>,
...

nbytes

Value:

{<type 'numpy.int64'>: 8, <type 'numpy.int16'>: 2, <type 'numpy.object
_'>: 4, <type 'numpy.uint32'>: 4, <type 'numpy.bool_'>: 1, <type 'nump
y.float96'>: 12, <type 'numpy.int32'>: 4, <type 'numpy.string_'>: 0, <
type 'numpy.uint32'>: 4, <type 'numpy.complex64'>: 8, <type 'numpy.uni
code_'>: 0, <type 'numpy.uint64'>: 8, <type 'numpy.int8'>: 1, <type 'n
umpy.complex128'>: 16, <type 'numpy.uint8'>: 1, <type 'numpy.void'>: 0
, <type 'numpy.float32'>: 4, <type 'numpy.complex192'>: 24, <type 'num
py.uint16'>: 2, <type 'numpy.int32'>: 4, <type 'numpy.float64'>: 8}

sctypeDict

Value:

{0: <type 'numpy.bool_'>,
 1: <type 'numpy.int8'>,
 2: <type 'numpy.uint8'>,
 3: <type 'numpy.int16'>,
 4: <type 'numpy.uint16'>,
 5: <type 'numpy.int32'>,
 6: <type 'numpy.uint32'>,
 7: <type 'numpy.int32'>,
...

sctypeNA

Value:

{'?': 'Bool',
 'B': 'UInt8',
 'Bool': <type 'numpy.bool_'>,
 'Complex32': <type 'numpy.complex64'>,
 'Complex64': <type 'numpy.complex128'>,
 'Complex96': <type 'numpy.complex192'>,
 'D': 'Complex64',
 'F': 'Complex32',
...

sctypes

Value:

{'complex': [<type 'numpy.complex64'>,
             <type 'numpy.complex128'>,
             <type 'numpy.complex192'>],
 'float': [<type 'numpy.float32'>,
           <type 'numpy.float64'>,
           <type 'numpy.float96'>],
 'int': [<type 'numpy.int8'>,
         <type 'numpy.int16'>,
...

typeDict

Value:

{0: <type 'numpy.bool_'>,
 1: <type 'numpy.int8'>,
 2: <type 'numpy.uint8'>,
 3: <type 'numpy.int16'>,
 4: <type 'numpy.uint16'>,
 5: <type 'numpy.int32'>,
 6: <type 'numpy.uint32'>,
 7: <type 'numpy.int32'>,
...

typeNA

Value:

{'?': 'Bool',
 'B': 'UInt8',
 'Bool': <type 'numpy.bool_'>,
 'Complex32': <type 'numpy.complex64'>,
 'Complex64': <type 'numpy.complex128'>,
 'Complex96': <type 'numpy.complex192'>,
 'D': 'Complex64',
 'F': 'Complex32',
...

typecodes

Value:

{'All': '?bhilqpBHILQPfdgFDGSUVO',
 'AllFloat': 'fdgFDG',
 'AllInteger': 'bBhHiIlLqQpP',
 'Character': 'c',
 'Complex': 'FDG',
 'Float': 'fdg',
 'Integer': 'bhilqp',
 'UnsignedInteger': 'BHILQP'}