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Added features increasing user friendliness of the software

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This commit is contained in:
Cian Hughes
2022-02-21 17:22:39 +00:00
parent 87af564c9c
commit caae863be5
5 changed files with 562 additions and 218 deletions
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81
Data/Calibration.py Normal file
View File

@@ -0,0 +1,81 @@
class CalCurve():
def __init__(self):
self.name = "None"
self.formula = "y=x"
def __call__(self, x):
return x
def __str__(self):
return self.name
class AlSi7Mg(CalCurve):
def __init__(self):
self.name = "AlSi7Mg"
self.formula = "N/A"
def __call__(self, x):
return x
class Al6061(CalCurve):
def __init__(self):
self.name = "Al6061"
self.formula = "T=(V+84.66)/1.45"
def __call__(self, x):
return (x + 84.661) / 1.4516
class _15_5PH(CalCurve):
def __init__(self):
self.name = "15-5PH Stainless Steel"
self.formula = "N/A"
def __call__(self, x):
return x
class H13(CalCurve):
def __init__(self):
self.name = "H13 Tool Steel"
self.formula = "N/A"
def __call__(self, x):
return x
class Inconel625(CalCurve):
def __init__(self):
self.name = "Inconel 625"
self.formula = "N/A"
def __call__(self, x):
return x
class Inconel718(CalCurve):
def __init__(self):
self.name = "Inconel 718"
self.formula = "N/A"
def __call__(self, x):
return x
class Custom(CalCurve):
def __init__(self):
self.name = "Custom"
self.formula = "y=mx+c"
def __call__(self, x):
return x

64
Data/ThresholdFunctions.py Normal file
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@@ -0,0 +1,64 @@
import operator as __op
class __Base():
def __init__(self):
self.name = "None"
def __str__(self):
return self.name
class Greater(__Base):
def __init__(self):
self.name = ">"
def __call__(self, *args):
return __op.gt(*args)
class GreaterOrEqual(__Base):
def __init__(self):
self.name = "≥"
def __call__(self, *args):
return __op.ge(*args)
class Equal(__Base):
def __init__(self):
self.name = "="
def __call__(self, *args):
return __op.eq(*args)
class NotEqual(__Base):
def __init__(self):
self.name = "≠"
def __call__(self, *args):
return __op.ne(*args)
class LessOrEqual(__Base):
def __init__(self):
self.name = "≤"
def __call__(self, *args):
return __op.le(*args)
class Less(__Base):
def __init__(self):
self.name = "<"
def __call__(self, *args):
return __op.lt(*args)

134
Main/Main_Desktop.py
View File

@@ -8,9 +8,9 @@ from kivy.uix.screenmanager import Screen
# Other python module imports
from Common.MTPy_Modified import MT_Modded as MeltpoolTomography
from Common.threading_decorators import run_in_thread
from Data import Calibration, ThresholdFunctions
from pathlib import Path
from types import SimpleNamespace
import operator as op
from types import SimpleNamespace, FunctionType
from ast import literal_eval
from contextlib import redirect_stdout
@@ -32,7 +32,8 @@ class Main(Screen):
shared_io_choosers = ["io_chooser_dataloading",
"io_chooser_buildplate",
"io_chooser_sampledetection",
"io_chooser_persample"]
"io_chooser_persample",
"io_chooser_datasheet"]
shared_io_choosers = [self.ids[x] for x in shared_io_choosers]
# Link progress bars in document to their associated functions
self.mtpy.progress_bars["read_layers"] = self.ids.read_layers_progbar
@@ -48,24 +49,21 @@ class Main(Screen):
# self.mtpy.progress_bars["threshold_all_layers"] = self.ids.avgtemp_threshold_progbar # noqa
self.mtpy.progress_bars["temp_data_to_csv"] = self.ids.kmeans_separate_samples_progbar # noqa
# Starting items in cache
starting_cache = {"shared_io_choosers": shared_io_choosers,
"in_path": str(Path("~").expanduser()), # path to input data
"out_path": str(Path("~").expanduser()), # path to output data
"last_loaded_path": False, # path to last loaded
"calibration_curve": False, # last cal curve used
"static_fileformats": # Allowed static formats
("png", "pdf", "ps", "eps", "svg"),
"thresh_functions": # Threshold functions available
{
">": op.gt,
"≥": op.ge,
"=": op.eq,
"≠": op.ne,
"≤": op.le,
"<": op.lt,
},
"progress_bars": self.mtpy.progress_bars}
starting_cache = {
# Shared variables
"shared_io_choosers": shared_io_choosers,
"in_path": str(Path("~").expanduser()), # path to input data
"out_path": str(Path("~").expanduser()), # path to output data
"last_loaded_path": False, # path to last loaded
"calibration_curve": False, # last cal curve used
# Dropdown population lists
"printer_types": ("None", "3D Systems", "Aconity", "GE Additive", "Renishaw", "Stratasys"),
"calibration_curves": [v() for k, v in Calibration.__dict__.items() if "__" not in k],
"static_fileformats": ("png", "pdf", "ps", "eps", "svg"), # Allowed static formats
"thresh_functions": [v() for k, v in ThresholdFunctions.__dict__.items() if "__" not in k],
# Progress Bars
"progress_bars": self.mtpy.progress_bars
}
self.cache = SimpleNamespace(**starting_cache)
# Make sure each shared io chooser is aware of others and parent app
for chooser in self.cache.shared_io_choosers:
@@ -73,11 +71,21 @@ class Main(Screen):
[x for x in self.cache.shared_io_choosers if x != chooser]
chooser.cache.parent_app = self
# Next, populate dropdowns
# First, the dropdowns for matplotlib filetype options
self.ids.layers_to_figures_filetype_dropdown.populate_dropdown(
self.cache.static_fileformats)
self.ids.avgtemp_thresh_function_dropdown.populate_dropdown(
self.cache.thresh_functions.keys())
# The dropdown for selecting the printer type
self.ids.printer_type_dropdown.populate_dropdown(self.cache.printer_types)
# The dropdown for calibration curves
self.ids.calibration_curve_dropdown.populate_dropdown(self.cache.calibration_curves)
# The dropdowns for matplotlib filetype options
static_filetype_dropdowns = (
self.ids.layers_to_figures_filetype_dropdown,
self.ids.layers_to_3dplot_filetype_dropdown,
self.ids.samples_to_figures_filetype_dropdown,
self.ids.samples_to_3dplot_filetype_dropdown,
)
for dropdown in static_filetype_dropdowns:
dropdown.populate_dropdown(self.cache.static_fileformats)
# The dropdowns for the thresholding functions
self.ids.avgtemp_thresh_function_dropdown.populate_dropdown(self.cache.thresh_functions)
# Property returns a string summarising the status of data processing
@property
@@ -149,9 +157,9 @@ class Main(Screen):
elif c in ("(", "{", "["):
neststring += c
elif c in (")", "}", "]"):
if (c == ")" and neststring[-1] == "(" or
c == "}" and neststring[-1] == "{" or
c == "]" and neststring[-1] == "["):
if (c == ")" and neststring[-1] == "("
or c == "}" and neststring[-1] == "{"
or c == "]" and neststring[-1] == "["):
neststring = neststring[:-1]
parsed.append(paramstring[prev_split:])
@@ -164,6 +172,18 @@ class Main(Screen):
return parsed
# Parses layer selection into a layer filter
def parse_filter(self, filterstring: str) -> FunctionType:
filterstring = filterstring.strip()
if filterstring.isdigit():
return lambda x: x == int(filterstring)
elif ":" in filterstring:
return lambda x: x in range(*(int(y) for y in filterstring.split(":")))
elif "," in filterstring:
return lambda x: x in (int(y) for y in filterstring.split(","))
else:
return lambda x: True
# This function loads input data only if not already loaded
@run_in_thread
def load_data(self):
@@ -177,16 +197,23 @@ class Main(Screen):
# NOTE: relies on eval! Function may be dangerous
@run_in_thread
def apply_calibration_curve(self):
equation = self.ids.calibration_curve.text
equation = equation.replace(" ", "")
if ((equation != self.cache.calibration_curve) and
(equation != "y=x") and
(equation[:2] == "y=")):
def func(x):
return eval(equation[2:])
self.mtpy.apply_calibration_curve(func)
self.cache.calibration_curve = equation
self.update_data_status()
cal_curve_selection = self.ids.calibration_curve_dropdown.current_selection
if (cal_curve_selection.name == "Custom"):
equation = self.ids.calibration_curve.text
equation = equation.replace(" ", "")
if ((equation != self.cache.calibration_curve)
and (equation != "y=x")
and (equation[:2] == "y=")):
def func(x):
return eval(equation[2:])
self.mtpy.apply_calibration_curve(func)
self.cache.calibration_curve = equation
self.update_data_status()
else:
if cal_curve_selection is not self.cache.calibration_curve:
self.mtpy.apply_calibration_curve(cal_curve_selection)
self.cache.calibration_curve = cal_curve_selection
self.update_data_status()
# A wrapper function translating application state into a call to the
# mtpy function layers_to_figures
@@ -200,10 +227,8 @@ class Main(Screen):
plot_w = self.ids.layers_to_figures_plot_w.active
colorbar = self.ids.layers_to_figures_colorbar.active
# then parse kwarg params
figureparams = self.parse_kwargs(
self.ids.layers_to_figures_figureparams.text)
scatterparams = self.parse_kwargs(
self.ids.layers_to_figures_plotparams.text)
figureparams = self.parse_kwargs(self.ids.layers_to_figures_figureparams.text)
scatterparams = self.parse_kwargs(self.ids.layers_to_figures_plotparams.text)
self.mtpy.layers_to_figures(self.cache.out_path,
filetype=filetype,
plot_w=plot_w,
@@ -224,9 +249,9 @@ class Main(Screen):
colorbar = self.ids.layers_to_3dplot_colorbar.active
# then parse kwarg params
figureparams = self.parse_kwargs(
self.ids.layers_to_3dplot_figureparams.text)
self.ids.layers_to_3dplot_figureparams.text)
plotparams = self.parse_kwargs(
self.ids.layers_to_3dplot_plotparams.text)
self.ids.layers_to_3dplot_plotparams.text)
self.mtpy.layers_to_3dplot(self.cache.out_path,
filetype=filetype,
plot_w=plot_w,
@@ -267,9 +292,9 @@ class Main(Screen):
colorbar = self.ids.samples_to_figures_colorbar.active
# then parse kwarg params
figureparams = self.parse_kwargs(
self.ids.samples_to_figures_figureparams.text)
self.ids.samples_to_figures_figureparams.text)
scatterparams = self.parse_kwargs(
self.ids.samples_to_figures_plotparams.text)
self.ids.samples_to_figures_plotparams.text)
self.mtpy.samples_to_figures(self.cache.out_path,
filetype=filetype,
plot_w=plot_w,
@@ -290,9 +315,9 @@ class Main(Screen):
colorbar = self.ids.samples_to_3dplot_colorbar.active
# then parse kwarg params
figureparams = self.parse_kwargs(
self.ids.samples_to_3dplot_figureparams.text)
self.ids.samples_to_3dplot_figureparams.text)
plotparams = self.parse_kwargs(
self.ids.samples_to_3dplot_plotparams.text)
self.ids.samples_to_3dplot_plotparams.text)
self.mtpy.samples_to_3dplot(self.cache.out_path,
filetype=filetype,
plot_w=plot_w,
@@ -382,4 +407,13 @@ class Main(Screen):
# This function generates datasheets
@run_in_thread
def temp_data_to_csv(self):
self.mtpy.temp_data_to_csv(f"{self.cache.out_path}")
confidence_interval = self.ids.temp_data_to_csv_confinterval
confidence_interval = confidence_interval.strip()
if confidence_interval.isdigit():
confidence_interval = float(confidence_interval)
else:
confidence_interval = 0.95
self.mtpy.temp_data_to_csv(f"{self.cache.out_path}",
layers=self.ids.temp_data_to_csv_layers,
samples=self.ids.temp_data_to_csv_samples,
confidence_interval=confidence_interval)

54
Templates/dropdown_button.py
View File

@@ -7,30 +7,41 @@ from kivy.uix.dropdown import DropDown
class DropdownButton(Button):
def __init__(self, option_list=None, **kwargs):
# ensure "text" kwarg isnt present
def __init__(self,
option_list=None,
default_selection=None,
bound_textfields={},
**kwargs):
# ensure "test" kwarg isnt present
if "test" in kwargs:
kwargs.pop("test")
# Add default args if they're not specifically assigned
self.defaultkwargs = \
{"background_color": [x*0.75 for x in self.background_color],
{"background_color": [x * 0.75 for x in self.background_color],
}
for keyword, arg in self.defaultkwargs.items():
if keyword not in kwargs:
kwargs[keyword] = arg
# self.bound_textfields is a dict of objects as keys,
# values are either the name of textfield to update or tuple containing
# the textfield name AND a function that maps the selection to a new string
self.bound_textfields = bound_textfields
self.kwargs = kwargs
super(DropdownButton, self).__init__(**self.kwargs)
# Create lambdas for callbacks
self.__bind_button = lambda btn: self.dropdown_list.select(btn.text)
self.__update_label = lambda instance, x: setattr(self, "text", x)
if option_list is not None:
self.populate_dropdown(option_list)
if type(default_selection) == str:
self.current_selection = self.objects_dict[default_selection]
else:
self.current_selection = default_selection
# Populates dropdown with contents of list given
def populate_dropdown(self, option_list):
kwargs = self.kwargs.copy()
kwargs["size_hint_y"] = None
@@ -42,11 +53,32 @@ class DropdownButton(Button):
self.dropdown_list = None
self.dropdown_list = DropDown()
for x in option_list:
self.objects_dict = {str(x): x for x in option_list}
for x in self.objects_dict.keys():
button = Button(text=x, **kwargs)
# button = Button(text=x, size_hint_y=None, height=50)
button.bind(on_release=self.__bind_button)
button.bind(on_release=self._bind_button)
self.dropdown_list.add_widget(button)
self.bind(on_release=self.dropdown_list.open)
self.dropdown_list.bind(on_select=self.__update_label)
self.dropdown_list.bind(on_select=self._select_item)
# Function to bind button to dropdown
def _bind_button(self, btn):
self.dropdown_list.select(btn.text)
def _update_label(self, instance, x):
setattr(self, "text", x)
# This function runs whenever an item from the dropdown is selected
def _select_item(self, instance, selection):
self.current_selection = self.objects_dict[selection]
self._update_label(instance, selection)
self.update_bound_textfields(selection)
def update_bound_textfields(self, text):
for object, field in self.bound_textfields.items():
if type(field) == str:
setattr(object, field, text)
elif type(field) == tuple:
setattr(object, field[0], field[1](text))

447
Templates/melter_desktop.kv
View File

@@ -42,33 +42,40 @@
size_hint_x: 0.25
text: "Load Pyrometry Data"
on_press: root.load_data()
# A dropdown for selecting printer type
# TODO: make this actually do something
DropdownButton:
text: "None"
size_hint_x: 0.25
id: printer_type_dropdown
ProgressBar:
id: read_layers_progbar
size_hint_x: 0.75
size_hint_x: 0.5
value: 0
# A button that applies the calibration curve
Button:
text: "Apply Calibration Curve"
size_hint_x: 0.25
width: 120
width: 60
on_press: root.apply_calibration_curve()
StackLayout:
size_hint_x: 0.25
size_hint_y: 0.5
cols: 1
rows: 2
# Containing a description of what the field points to
Label:
halign: "right"
text: "Calibration Curve"
width: 160
# A dropdown for selecting preprogrammed/custom calibrations
DropdownButton:
text: "None"
id: calibration_curve_dropdown
width: 80
bound_textfields: {calibration_curve: ("hint_text", lambda _: getattr(self.current_selection, "formula"))}
# A textbox for cal curve equation entry
TextInput:
halign: "center"
valign: "center"
id: calibration_curve
readonly: False
hint_text: "y = x"
hint_text: "y=x"
ProgressBar:
id: cal_curve_progbar
size_hint_x: 0.5
@@ -319,43 +326,58 @@
#:set num_functions 3
#:set spacer_y_hint ((1-(row_y_hint*num_functions*2))/(num_functions-1))
# First function on this panel (layers_to_figures) begins here
# This button will be a dropdown
DropdownButton:
id: layers_to_figures_filetype_dropdown
text: "select file type\n(png)"
size_hint_x: 0.25
size_hint_y: row_y_hint
# Right of the dropdown will be a suite of options
# Panel of options for static 2d figures
StackLayout:
orientation: "tb-lr"
size_hint_x: 0.75
size_hint_x: 1.
size_hint_y: row_y_hint
# Checkboxes for toggling plot colouring and colourbars
CheckBox:
id: layers_to_figures_plot_w
active: True
size_hint_x: 0.1
# First function on this panel (layers_to_figures) begins here
# This button will be a dropdown
DropdownButton:
id: layers_to_figures_filetype_dropdown
text: "select file type (png)"
size_hint_x: 0.25
size_hint_y: 0.5
CheckBox:
id: layers_to_figures_colorbar
active: True
size_hint_x: 0.1
GridLayout:
rows: 1
size_hint_x: 0.25
size_hint_y: 0.5
Label:
text: "Colour by temperature"
size_hint_x: 0.4
# Checkboxes for toggling plot colouring and colourbars
CheckBox:
id: layers_to_figures_plot_w
active: True
size_hint_x: 0.1
size_hint_y: 0.5
Label:
text: "Heatmap"
size_hint_x: 0.4
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
CheckBox:
id: layers_to_figures_colorbar
active: True
size_hint_x: 0.1
size_hint_y: 0.5
Label:
text: "Colourbar"
size_hint_x: 0.4
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
# Text input for layer/sample filters
TextInput:
id: layers_to_figures_layerfilter
size_hint_x: 0.25
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
Label:
text: "Display colourbar"
size_hint_x: 0.4
hint_text: "Layer filter..."
TextInput:
id: layers_to_figures_samplefilter
size_hint_x: 0.25
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
hint_text: "Sample filter..."
# And text input for other figure parameters
TextInput:
id: layers_to_figures_figureparams
@@ -386,42 +408,56 @@
size_hint_y: spacer_y_hint
# Second function on this panel (layers_to_3dplot) begins here
# This button will be a dropdown
DropdownButton:
id: layers_to_3dplot_filetype_dropdown
text: "select file type\n(png)"
size_hint_x: 0.25
size_hint_y: row_y_hint
# Right of the dropdown will be a suite of options
StackLayout:
orientation: "tb-lr"
size_hint_x: 0.75
size_hint_x: 1.
size_hint_y: row_y_hint
# Checboxes for toggling plot colouring and colourbars
CheckBox:
id: layers_to_3dplot_plot_w
active: True
size_hint_x: 0.1
# This button will be a dropdown
DropdownButton:
id: layers_to_3dplot_filetype_dropdown
text: "select file type (png)"
size_hint_x: 0.25
size_hint_y: 0.5
CheckBox:
id: layers_to_3dplot_colorbar
active: True
size_hint_x: 0.1
# Checkboxes for toggling plot colouring and colourbars
GridLayout:
rows: 1
size_hint_x: 0.25
size_hint_y: 0.5
Label:
text: "Colour by temperature"
size_hint_x: 0.4
CheckBox:
id: layers_to_3dplot_plot_w
active: True
size_hint_x: 0.1
size_hint_y: 0.5
Label:
text: "Heatmap"
size_hint_x: 0.4
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
CheckBox:
id: layers_to_3dplot_colorbar
active: True
size_hint_x: 0.1
size_hint_y: 0.5
Label:
text: "Colourbar"
size_hint_x: 0.4
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
# Text input for layer/sample filters
TextInput:
id: layers_to_3dplot_layerfilter
size_hint_x: 0.25
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
Label:
text: "Display colourbar"
size_hint_x: 0.4
hint_text: "Layer filter..."
TextInput:
id: layers_to_3dplot_samplefilter
size_hint_x: 0.25
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
hint_text: "Sample filter..."
# And text input for other figure parameters
TextInput:
id: layers_to_3dplot_figureparams
@@ -451,7 +487,7 @@
size_hint_x: 1.0
size_hint_y: spacer_y_hint
# Second function on this panel (layers_to_3dplot) begins here
# Third function on this panel (layers_to_3dplot_interactive) begins here
# First part of this panel will be a suite of options
StackLayout:
orientation: "lr-tb"
@@ -459,10 +495,9 @@
size_hint_y: row_y_hint
# Checkboxes for toggling plot colouring and colourbars
# and downsampling factor input
#:set one_third 1/3
Label:
text: "Downsampling: "
size_hint_x: 0.75 * one_third
text: "Downsampling:"
size_hint_x: 0.167
size_hint_y: 0.5
text_size: self.size
halign: "right"
@@ -470,16 +505,26 @@
TextInput:
id: layers_to_3dplot_interactive_downsampling
hint_text: "1"
size_hint_x: 0.25 * one_third
size_hint_x: 0.083
size_hint_y: 0.5
TextInput:
id: layers_to_3dplot_interactive_layerfilter
size_hint_x: 0.375
size_hint_y: 0.5
hint_text: "Layer Filter..."
TextInput:
id: layers_to_3dplot_interactive_samplefilter
size_hint_x: 0.375
size_hint_y: 0.5
hint_text: "Sample Filter..."
CheckBox:
id: layers_to_3dplot_interactive_plot_w
active: True
size_hint_x: 0.25 * one_third
size_hint_x: 0.025
size_hint_y: 0.5
Label:
text: "Colour by temperature"
size_hint_x: 0.75 * one_third
text: "Heatmap"
size_hint_x: 0.1
size_hint_y: 0.5
text_size: self.size
halign: "left"
@@ -487,18 +532,18 @@
CheckBox:
id: layers_to_3dplot_interactive_sliceable
active: True
size_hint_x: 0.25 * one_third
size_hint_x: 0.025
size_hint_y: 0.5
Label:
text: "Sliceable model"
size_hint_x: 0.75 * one_third
text: "Sliceable"
size_hint_x: 0.1
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
TextInput:
id: layers_to_3dplot_interactive_plotparams
size_hint_x: 1.
size_hint_x: 0.75
size_hint_y: 0.5
hint_text: "Plot parameters..."
# This button is a progress bar trigger that tracks the
@@ -539,43 +584,58 @@
#:set num_functions 3
#:set spacer_y_hint ((1-(row_y_hint*num_functions*2))/(num_functions-1))
# First function on this panel (layers_to_figures) begins here
# This button will be a dropdown
DropdownButton:
id: samples_to_figures_filetype_dropdown
text: "select file type\n(png)"
size_hint_x: 0.25
size_hint_y: row_y_hint
# Right of the dropdown will be a suite of options
# Panel of options for static 2d figures
StackLayout:
orientation: "tb-lr"
size_hint_x: 0.75
size_hint_x: 1.
size_hint_y: row_y_hint
# Checkboxes for toggling plot colouring and colourbars
CheckBox:
id: samples_to_figures_plot_w
active: True
size_hint_x: 0.1
# First function on this panel (layers_to_figures) begins here
# This button will be a dropdown
DropdownButton:
id: samples_to_figures_filetype_dropdown
text: "select file type (png)"
size_hint_x: 0.25
size_hint_y: 0.5
CheckBox:
id: samples_to_figures_colorbar
active: True
size_hint_x: 0.1
GridLayout:
rows: 1
size_hint_x: 0.25
size_hint_y: 0.5
Label:
text: "Colour by temperature"
size_hint_x: 0.4
# Checkboxes for toggling plot colouring and colourbars
CheckBox:
id: samples_to_figures_plot_w
active: True
size_hint_x: 0.1
size_hint_y: 0.5
Label:
text: "Heatmap"
size_hint_x: 0.4
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
CheckBox:
id: samples_to_figures_colorbar
active: True
size_hint_x: 0.1
size_hint_y: 0.5
Label:
text: "Colourbar"
size_hint_x: 0.4
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
# Text input for layer/sample filters
TextInput:
id: samples_to_figures_layerfilter
size_hint_x: 0.25
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
Label:
text: "Display colourbar"
size_hint_x: 0.4
hint_text: "Layer filter..."
TextInput:
id: samples_to_figures_samplefilter
size_hint_x: 0.25
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
hint_text: "Sample filter..."
# And text input for other figure parameters
TextInput:
id: samples_to_figures_figureparams
@@ -606,42 +666,56 @@
size_hint_y: spacer_y_hint
# Second function on this panel (layers_to_3dplot) begins here
# This button will be a dropdown
DropdownButton:
id: samples_to_3dplot_filetype_dropdown
text: "select file type\n(png)"
size_hint_x: 0.25
size_hint_y: row_y_hint
# Right of the dropdown will be a suite of options
StackLayout:
orientation: "tb-lr"
size_hint_x: 0.75
size_hint_x: 1.
size_hint_y: row_y_hint
# Checboxes for toggling plot colouring and colourbars
CheckBox:
id: samples_to_3dplot_plot_w
active: True
size_hint_x: 0.1
# This button will be a dropdown
DropdownButton:
id: samples_to_3dplot_filetype_dropdown
text: "select file type (png)"
size_hint_x: 0.25
size_hint_y: 0.5
CheckBox:
id: samples_to_3dplot_colorbar
active: True
size_hint_x: 0.1
GridLayout:
rows: 1
size_hint_x: 0.25
size_hint_y: 0.5
Label:
text: "Colour by temperature"
size_hint_x: 0.4
# Checkboxes for toggling plot colouring and colourbars
CheckBox:
id: samples_to_3dplot_plot_w
active: True
size_hint_x: 0.1
size_hint_y: 0.5
Label:
text: "Heatmap"
size_hint_x: 0.4
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
CheckBox:
id: samples_to_3dplot_colorbar
active: True
size_hint_x: 0.1
size_hint_y: 0.5
Label:
text: "Colourbar"
size_hint_x: 0.4
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
# Text input for layer/sample filters
TextInput:
id: samples_to_3dplot_layerfilter
size_hint_x: 0.25
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
Label:
text: "Display colourbar"
size_hint_x: 0.4
hint_text: "Layer filter..."
TextInput:
id: samples_to_3dplot_samplefilter
size_hint_x: 0.25
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
hint_text: "Sample filter..."
# And text input for other figure parameters
TextInput:
id: samples_to_3dplot_figureparams
@@ -671,7 +745,7 @@
size_hint_x: 1.0
size_hint_y: spacer_y_hint
# Second function on this panel (layers_to_3dplot) begins here
# Third function on this panel (layers_to_3dplot_interactive) begins here
# First part of this panel will be a suite of options
StackLayout:
orientation: "lr-tb"
@@ -679,10 +753,9 @@
size_hint_y: row_y_hint
# Checkboxes for toggling plot colouring and colourbars
# and downsampling factor input
#:set one_third 1/3
Label:
text: "Downsampling: "
size_hint_x: 0.75 * one_third
text: "Downsampling:"
size_hint_x: 0.167
size_hint_y: 0.5
text_size: self.size
halign: "right"
@@ -690,16 +763,26 @@
TextInput:
id: samples_to_3dplot_interactive_downsampling
hint_text: "1"
size_hint_x: 0.25 * one_third
size_hint_x: 0.083
size_hint_y: 0.5
TextInput:
id: samples_to_3dplot_interactive_layerfilter
size_hint_x: 0.375
size_hint_y: 0.5
hint_text: "Layer Filter..."
TextInput:
id: samples_to_3dplot_interactive_samplefilter
size_hint_x: 0.375
size_hint_y: 0.5
hint_text: "Sample Filter..."
CheckBox:
id: samples_to_3dplot_interactive_plot_w
active: True
size_hint_x: 0.25 * one_third
size_hint_x: 0.025
size_hint_y: 0.5
Label:
text: "Colour by temperature"
size_hint_x: 0.75 * one_third
text: "Heatmap"
size_hint_x: 0.1
size_hint_y: 0.5
text_size: self.size
halign: "left"
@@ -707,18 +790,18 @@
CheckBox:
id: samples_to_3dplot_interactive_sliceable
active: True
size_hint_x: 0.25 * one_third
size_hint_x: 0.025
size_hint_y: 0.5
Label:
text: "Sliceable model"
size_hint_x: 0.75 * one_third
text: "Sliceable"
size_hint_x: 0.1
size_hint_y: 0.5
text_size: self.size
halign: "left"
valign: "middle"
TextInput:
id: samples_to_3dplot_interactive_plotparams
size_hint_x: 1.
size_hint_x: 0.75
size_hint_y: 0.5
hint_text: "Plot parameters..."
# This button is a progress bar trigger that tracks the
@@ -744,25 +827,75 @@
# First item is an InputOutputChooser
InputOutputChooser:
id: io_chooser_persample
id: io_chooser_datasheet
size_hint_x: 1.0
pos_hint: {"x": 0., "y": 0.875}
# Button, below, is in a simple grid layout
GridLayout:
StackLayout:
orientation: "lr-tb"
size_hint_x: 0.9
size_hint_y: 0.15
pos_hint: {"x": 0.05, "y": 0.6}
rows: 1
size_hint_y: 0.1875
pos_hint: {"x": 0.05, "y": 0.5}
# rows: 2
# Checkboxes to turn on/off layer-by-layer and sample-by-sample stats
CheckBox:
id: temp_data_to_csv_layers
active: True
size_hint_x: 0.025
size_hint_y: 0.33
Label:
text: "Layers"
size_hint_x: 0.1
size_hint_y: 0.33
text_size: self.size
halign: "left"
valign: "middle"
CheckBox:
id: temp_data_to_csv_samples
active: True
size_hint_x: 0.025
size_hint_y: 0.33
Label:
text: "Samples"
size_hint_x: 0.1
size_hint_y: 0.33
text_size: self.size
halign: "left"
valign: "middle"
# Text input for setting confidence interval
Label:
text: "Confidence Interval"
size_hint_x: 0.125
size_hint_y: 0.33
text_size: self.size
halign: "right"
valign: "middle"
TextInput:
id: temp_data_to_csv_confinterval
size_hint_x: 0.075
size_hint_y: 0.33
hint_text: "0.95"
# Text input for layer/sample filters
TextInput:
id: temp_data_to_csv_layerfilter
size_hint_x: 0.25
size_hint_y: 0.33
hint_text: "Layer filter..."
TextInput:
id: temp_data_to_csv_samplefilter
size_hint_x: 0.25
size_hint_y: 0.33
hint_text: "Sample filter..."
# This button is a progress bar trigger that tracks the
# generation of datasheets
Button:
text: "Generate\nDatasheets"
size_hint_x: 0.25
size_hint_y: 1
size_hint_y: 0.67
on_press: root.temp_data_to_csv()
ProgressBar:
id: temp_data_to_csv_progbar
size_hint_x: 0.75
size_hint_y: 1
size_hint_y: 0.67
value: 0