from numpy import array
# ============= standard library imports ========================
# ============= local library imports ==========================
from pychron.experiment.utilities.identifier import ANALYSIS_MAPPING_INTS, \
ANALYSIS_MAPPING_UNDERSCORE_KEY
TICKS = array(sorted(ANALYSIS_MAPPING_INTS.values()))
class StaticTickGenerator(AbstractTickGenerator):
def get_ticks(self, *args, **kw):
return TICKS
KEYS = [
v[0] for v in sorted(ANALYSIS_MAPPING_INTS.items(), key=lambda x: x[1])
]
TICK_KEYS = [ANALYSIS_MAPPING_UNDERSCORE_KEY[v] for v in KEYS]
def tick_formatter(x):
try:
v = TICK_KEYS[int(x)]
except IndexError:
v = ''
return v
def analysis_type_formatter(x):
try:
v = KEYS[int(x)]
from enable.tools.drag_tool import DragTool
from numpy import array, where
from traits.api import HasTraits, Instance, List, Int, Bool, on_trait_change, Button, Str, Any, Float, Event
from traitsui.api import View, Controller, UItem, HGroup, VGroup, Item, spring
from pychron.core.helpers.iterfuncs import groupby_key
from pychron.experiment.utilities.identifier import ANALYSIS_MAPPING_INTS
from pychron.graph.graph import Graph
from pychron.graph.tools.analysis_inspector import AnalysisPointInspector
from pychron.graph.tools.point_inspector import PointInspectorOverlay
from pychron.graph.tools.rect_selection_tool import RectSelectionTool, RectSelectionOverlay
from pychron.pychron_constants import BLANK_TYPES
REVERSE_ANALYSIS_MAPPING = {
v: k.replace('_', ' ')
for k, v in ANALYSIS_MAPPING_INTS.items()
}
def get_analysis_type(x):
return REVERSE_ANALYSIS_MAPPING[math.floor(x)]
def analysis_type_func(analyses, mapping, offset=True):
"""
convert analysis type to number
if offset is True
use analysis_mapping_ints to convert atype to integer
then add a fractional value to indicate position in list
e.g first unknown 1, second unknown 1.1
from traitsui.api import View, Controller, UItem, HGroup, CheckListEditor, VGroup, Item, HSplit
from chaco.tools.api import RangeSelection, RangeSelectionOverlay
from chaco.scales.api import CalendarScaleSystem
from chaco.scales_tick_generator import ScalesTickGenerator
from chaco.tools.broadcaster import BroadcasterTool
# ============= standard library imports ========================
from numpy import array
import math
# ============= local library imports ==========================
from pychron.graph.graph import Graph
from pychron.processing.plotters.series.ticks import tick_formatter, StaticTickGenerator, TICKS
from pychron.experiment.utilities.identifier import ANALYSIS_MAPPING_INTS, ANALYSIS_MAPPING
from pychron.graph.tools.analysis_inspector import AnalysisPointInspector
from pychron.graph.tools.point_inspector import PointInspectorOverlay
REVERSE_ANALYSIS_MAPPING = {v: k.replace('_', ' ') for k, v in ANALYSIS_MAPPING_INTS.items()}
def get_analysis_type(x):
return REVERSE_ANALYSIS_MAPPING[math.floor(x)]
def analysis_type_func(analyses, offset=True):
"""
convert analysis type to number
if offset is True
use analysis_mapping_ints to convert atype to integer
then add a fractional value to indicate position in list
e.g first unknown 1, second unknown 1.1
fractional value is normalized to 1 so that there is no overlap
from chaco.ticks import AbstractTickGenerator
from numpy import array
# ============= standard library imports ========================
# ============= local library imports ==========================
from pychron.experiment.utilities.identifier import ANALYSIS_MAPPING_INTS, \
ANALYSIS_MAPPING_UNDERSCORE_KEY
TICKS = array(sorted(ANALYSIS_MAPPING_INTS.values()))
class StaticTickGenerator(AbstractTickGenerator):
def get_ticks(self, *args, **kw):
return TICKS
KEYS = [v[0] for v in sorted(list(ANALYSIS_MAPPING_INTS.items()), key=lambda x: x[1])]
TICK_KEYS = [ANALYSIS_MAPPING_UNDERSCORE_KEY[v] for v in KEYS]
def tick_formatter(x):
try:
v = TICK_KEYS[int(x)]
except IndexError:
v = ''
return v
def analysis_type_formatter(x):
try:
v = KEYS[int(x)]
except IndexError:
