[plot] works for 1 and 2d categories

This commit is contained in:
Jan Grewe 2021-04-02 20:06:18 +02:00
parent 41ccbfb0a1
commit d77b0b9e9a
3 changed files with 107 additions and 127 deletions

View File

@ -1,12 +1,10 @@
from nixview.util import dataview
from nixview.util.enums import PlotterTypes from nixview.util.enums import PlotterTypes
from PyQt5.QtWidgets import QGroupBox, QHBoxLayout, QLabel, QPushButton, QSizePolicy, QSlider, QVBoxLayout, QWidget from PyQt5.QtWidgets import QGroupBox, QHBoxLayout, QLabel, QPushButton, QSizePolicy, QSlider, QVBoxLayout, QWidget
from PyQt5.QtCore import pyqtSignal, Qt from PyQt5.QtCore import pyqtSignal, Qt
import matplotlib import matplotlib
matplotlib.use('Qt5Agg') matplotlib.use('Qt5Agg')
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas, NavigationToolbar2QT as NavigationToolbar from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure from matplotlib.figure import Figure
import nixio as nix
import numpy as np import numpy as np
try: try:
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
@ -50,7 +48,6 @@ class MplCanvas(FigureCanvas):
self._figure.canvas.mpl_connect('axes_leave_event', self.on_leave_axes) self._figure.canvas.mpl_connect('axes_leave_event', self.on_leave_axes)
self._figure.canvas.mpl_connect('pick_event', self.on_pick) self._figure.canvas.mpl_connect('pick_event', self.on_pick)
def on_enter_figure(self, event): def on_enter_figure(self, event):
# print('enter_figure', event.canvas.figure) # print('enter_figure', event.canvas.figure)
# event.canvas.figure.patch.set_facecolor('red') # event.canvas.figure.patch.set_facecolor('red')
@ -62,7 +59,7 @@ class MplCanvas(FigureCanvas):
# event.canvas.figure.patch.set_facecolor('grey') # event.canvas.figure.patch.set_facecolor('grey')
# event.canvas.draw() # event.canvas.draw()
pass pass
def on_enter_axes(self, event): def on_enter_axes(self, event):
# print('enter_axes', event.inaxes) # print('enter_axes', event.inaxes)
# event.inaxes.patch.set_facecolor('yellow') # event.inaxes.patch.set_facecolor('yellow')
@ -84,7 +81,7 @@ class MplCanvas(FigureCanvas):
#def clear(self): #def clear(self):
# self.clear() # self.clear()
#@property #@property
#def enter_figure(self): #def enter_figure(self):
# return self._fig # return self._fig
@ -116,7 +113,7 @@ class EventPlotter(Plotter):
def __init__(self, file_handler, item, data_view, xdim=-1, parent=None): def __init__(self, file_handler, item, data_view, xdim=-1, parent=None):
super().__init__(file_handler, item, data_view, parent) super().__init__(file_handler, item, data_view, parent)
self.dim_count = len(self._dataview.full_shape) self.dim_count = len(self._dataview.full_shape)
if xdim == -1: if xdim == -1:
self.xdim = self._item.best_xdim self.xdim = self._item.best_xdim
else: else:
@ -149,22 +146,22 @@ class EventPlotter(Plotter):
@property @property
def horizontal_pan_position(self): def horizontal_pan_position(self):
return self._view_xmax/self._abs_xmax return self._view_xmax/self._abs_xmax
def horizontal_pan_to_position(self, new_position, zoomlevel): def horizontal_pan_to_position(self, new_position, zoomlevel):
new_xmax = int(np.min([np.ceil(new_position * self._abs_xmax), self._abs_xmax])) new_xmax = int(np.min([np.ceil(new_position * self._abs_xmax), self._abs_xmax]))
segment_length = zoomlevel * self._abs_xmax segment_length = zoomlevel * self._abs_xmax
start = np.max([0, new_xmax - segment_length]) start = np.max([0, new_xmax - segment_length])
while not self._dataview.fully_loaded and new_xmax < self._dataview.current_shape[self.xdim]: while not self._dataview.fully_loaded and new_xmax < self._dataview.current_shape[self.xdim]:
self._dataview.request_more() self._dataview.request_more()
self.plot(start, zoomlevel) self.plot(start, zoomlevel)
def plot(self, start=0, zoomlevel=1.0): def plot(self, start=0, zoomlevel=1.0):
if zoomlevel > 1: if zoomlevel > 1:
zoomlevel = 1.0 zoomlevel = 1.0
self._segment_length = zoomlevel * self._abs_xmax self._segment_length = zoomlevel * self._abs_xmax
self._zoom_level = zoomlevel self._zoom_level = zoomlevel
if self.dim_count == 1: if self.dim_count == 1:
return self.plot_1d(start) return self.plot_1d(start)
else: else:
@ -196,7 +193,7 @@ class EventPlotter(Plotter):
self.figure.canvas.draw_idle() self.figure.canvas.draw_idle()
# self.axis.set_ylim([np.min(y_values), np.max(y_values)]) # self.axis.set_ylim([np.min(y_values), np.max(y_values)])
self.axis.set_xlim([x_values[0], x_values[-1]]) self.axis.set_xlim([x_values[0], x_values[-1]])
self.axis.set_ylim([0.5, 1.5]) self.axis.set_ylim([0.5, 1.5])
self.axis.set_yticks([1.]) self.axis.set_yticks([1.])
self.axis.set_yticklabels([]) self.axis.set_yticklabels([])
@ -207,82 +204,55 @@ class EventPlotter(Plotter):
class CategoryPlotter(Plotter): class CategoryPlotter(Plotter):
def __init__(self, data_array, xdim=-1): def __init__(self, file_handler, item, data_view, parent=None):
self.array = data_array super().__init__(file_handler, item, data_view, parent)
self.dim_count = len(self._dataview.full_shape)
self._xdim = self._item.best_xdim
self.bars = [] self.bars = []
"""
if xdim == -1:
self.xdim = guess_best_xdim(self.array)
elif xdim > 2:
raise ValueError("CategoryPlotter: xdim is larger than 2! "
"Cannot plot that kind of data")
else:
self.xdim = xdim
"""
def plot(self, axis=None): def plot(self):
if axis is None: if len(self._dataview.full_shape) == 1:
self.fig = plt.figure()
self.axis = self.fig.add_axes([0.15, .2, 0.8, 0.75])
self.axis.set_title(self.array.name)
else:
self.fig = axis.figure
self.axis = axis
if len(self.array.dimensions) == 1:
return self.plot_1d() return self.plot_1d()
elif len(self.array.dimensions) == 2: elif len(self._dataview.full_shape) == 2:
return self.plot_2d() return self.plot_2d()
else: else:
return None return None
def plot_1d(self): def plot_1d(self):
data = self.array[:]
dim = self.array.dimensions[self.xdim]
categories = None categories = None
if dim.dimension_type == nix.DimensionType.Set: ylabel = create_label(self._item)
categories = list(dim.labels) categories = self._file_handler.request_axis(self._item.block_id, self._item.id, self._item.best_xdim, self._item.shape[self._item.best_xdim])
else: if categories is None or len(categories) == 0:
return None categories = ["Cat-%i" % i for i in range(len(categories))]
if categories is None: ylabel = create_label(self._item)
categories = ["Cat-%i" % i for i in range(len(data))]
ylabel = create_label(self.array) self.bars.append(self.axis.bar(range(1, len(categories) + 1), self._dataview._buffer, tick_label=categories))
if len(categories) == 0:
raise ValueError("Cannot plot a bar chart without any labels")
self.bars.append(self.axis.bar(range(1, len(categories)+1), data,
tick_label=categories))
self.axis.set_ylabel(ylabel) self.axis.set_ylabel(ylabel)
return self.axis return self.axis
def plot_2d(self): def plot_2d(self):
data = self.array[:]
if self.xdim == 1:
data = data.T
categories = None categories = None
dim = self.array.dimensions[self.xdim] ylabel = create_label(self._item)
if dim.dimension_type == nix.DimensionType.Set: data = self._dataview._buffer
categories = list(dim.labels) if self._item.best_xdim == 1:
if len(categories) == 0: data = data.T
categories = ["Cat-%i" % i for i in range(data.shape[self.xdim])] categories = self._file_handler.request_axis(self._item.block_id, self._item.id, self._item.best_xdim, self._item.shape[self._item.best_xdim])
if categories is None or len(categories) == 0:
dim = self.array.dimensions[1-self.xdim] categories = ["Cat-%i" % i for i in range(self._item.shape[self._item.best_xdim])]
series_names = []
if dim.dimension_type == nix.DimensionType.Set: series = self._file_handler.request_axis(self._item.block_id, self._item.id, 1 - self._item.best_xdim, self._item.shape[1 - self._item.best_xdim])
series_names = list(dim.labels) if len(series) == 0:
if len(series_names) == 0: series = ["Series-%i" % i for i in range(self._item.shape[1 - self._item.best_xdim])]
series_names = ["Series-%i" % i
for i in range(data.shape[1-self.xdim])] ylabel = create_label(self._item)
bar_width = 1/len(series) * 0.75
bar_width = 1/data.shape[1] * 0.75 for i in range(len(series)):
for i in range(data.shape[1]): x_values = np.arange(len(categories)) + i * bar_width
x_values = np.arange(data.shape[0]) + i * bar_width self.bars.append(self.axis.bar(x_values, data[:, i], width=bar_width, align="center")[0])
self.bars.append(self.axis.bar(x_values, data[:, i], self.axis.set_xticks(np.arange(len(categories)) + len(series) * bar_width/2)
width=bar_width,
align="center")[0])
self.axis.set_xticks(np.arange(data.shape[0]) +
data.shape[1] * bar_width/2)
self.axis.set_xticklabels(categories) self.axis.set_xticklabels(categories)
self.axis.legend(self.bars, series_names, loc=1) self.axis.legend(self.bars, series, loc=1)
return self.axis self.axis.set_ylabel(ylabel)
class ImagePlotter(Plotter): class ImagePlotter(Plotter):
@ -359,7 +329,7 @@ class LinePlotter(Plotter):
self._segment_length = 0 self._segment_length = 0
# self.axis.callbacks.connect('xlim_changed', self.on_xlims_change) # self.axis.callbacks.connect('xlim_changed', self.on_xlims_change)
# self.axis.callbacks.connect('ylim_changed', self.on_ylims_change) # self.axis.callbacks.connect('ylim_changed', self.on_ylims_change)
@property @property
def is_full_view(self): def is_full_view(self):
full = self._data_xmin == self._view_xmin and self._data_xmax == self._view_xmax full = self._data_xmin == self._view_xmin and self._data_xmax == self._view_xmax
@ -368,7 +338,7 @@ class LinePlotter(Plotter):
@property @property
def can_pan_horizontally(self): def can_pan_horizontally(self):
return self.can_pan_left or self.can_pan_right return self.can_pan_left or self.can_pan_right
@property @property
def can_pan_left(self): def can_pan_left(self):
return self._view_xmin > self._abs_xmin return self._view_xmin > self._abs_xmin
@ -380,7 +350,7 @@ class LinePlotter(Plotter):
@property @property
def horizontal_pan_position(self): def horizontal_pan_position(self):
return self._view_xmax/self._abs_xmax return self._view_xmax/self._abs_xmax
def horizontal_pan_to_position(self, new_position, zoomlevel): def horizontal_pan_to_position(self, new_position, zoomlevel):
new_xmax = int(np.min([np.ceil(new_position * self._abs_xmax), self._abs_xmax])) new_xmax = int(np.min([np.ceil(new_position * self._abs_xmax), self._abs_xmax]))
segment_length = zoomlevel * self._abs_xmax segment_length = zoomlevel * self._abs_xmax
@ -389,13 +359,13 @@ class LinePlotter(Plotter):
self._dataview.request_more() self._dataview.request_more()
self.plot(start, zoomlevel) self.plot(start, zoomlevel)
def on_zoom_in(self, new_position): def on_zoom_in(self, new_position):
print("plotter ZOOM In!", new_position) print("plotter ZOOM In!", new_position)
def on_zoom_out(self, new_position): def on_zoom_out(self, new_position):
print("plotter ZOOM out!", new_position) print("plotter ZOOM out!", new_position)
def plot(self, start=0, zoomlevel=1.0): def plot(self, start=0, zoomlevel=1.0):
if zoomlevel > 1: if zoomlevel > 1:
zoomlevel = 1.0 zoomlevel = 1.0
@ -413,11 +383,11 @@ class LinePlotter(Plotter):
self._data_xmin = display_x_min self._data_xmin = display_x_min
if self._data_xmax is None or display_xmax > self._data_xmax: if self._data_xmax is None or display_xmax > self._data_xmax:
self._data_xmax = display_xmax self._data_xmax = display_xmax
def _update_current_view(self, current_xmin, current_xmax): def _update_current_view(self, current_xmin, current_xmax):
self._view_xmax = current_xmax self._view_xmax = current_xmax
self._view_xmin = current_xmin self._view_xmin = current_xmin
def __draw_1d(self, start, end): def __draw_1d(self, start, end):
""" draw the data from start to end index. """ draw the data from start to end index.
@ -519,7 +489,7 @@ class PlotScreen(QWidget):
self._create_plot_controls() self._create_plot_controls()
self.layout().addWidget(close_btn) self.layout().addWidget(close_btn)
self._data_view = None self._data_view = None
self._software_slide = False self._software_slide = False
self.plotter = None self.plotter = None
@ -616,3 +586,11 @@ class PlotScreen(QWidget):
self.plotter = EventPlotter(self._file_handler, item, self._data_view) self.plotter = EventPlotter(self._file_handler, item, self._data_view)
self._container.set_plotter(self.plotter) self._container.set_plotter(self.plotter)
self.plotter.plot() self.plotter.plot()
elif item.suggested_plotter == PlotterTypes.CategoryPlotter:
self._zoom_slider.setEnabled(False)
self._pan_slider.setEnabled(False)
self.plotter = CategoryPlotter(self._file_handler, item, self._data_view)
self._container.set_plotter(self.plotter)
self.plotter.plot()
else:
self._container.set_plotter(None)

View File

@ -28,10 +28,10 @@ class DataView():
for i, x in enumerate(zip(self._offset, valid_count)): for i, x in enumerate(zip(self._offset, valid_count)):
if i == self._cut_dim: if i == self._cut_dim:
new_ofst[i] = sum(x) new_ofst[i] = sum(x)
self._offset = tuple(new_ofst) self._offset = tuple(new_ofst)
self._fetched_data = tuple([sum(x) for x in zip(self._fetched_data, valid_count)]) self._fetched_data = tuple([sum(x) for x in zip(self._fetched_data, valid_count)])
def init_chunking(self): def init_chunking(self):
"""decides on the chunks size for reading. Heuristic is based on the dimensionality of the data and the "best xdim" if available. """decides on the chunks size for reading. Heuristic is based on the dimensionality of the data and the "best xdim" if available.
If data is 2D the best xdim is loaded in chunks (if necessary) while the other is fully loaded. For 3D and more it is the last dimension that is cut. If the number of data points in the first n-1 dimensions exceeds the maximum chunksize (settings) an error will be thrown. If data is 2D the best xdim is loaded in chunks (if necessary) while the other is fully loaded. For 3D and more it is the last dimension that is cut. If the number of data points in the first n-1 dimensions exceeds the maximum chunksize (settings) an error will be thrown.
@ -59,16 +59,15 @@ class DataView():
self._buffer = np.empty(self._full_shape) self._buffer = np.empty(self._full_shape)
except: except:
raise ValueError("Error reserving buffer! Cannot handle so many data points!") #FIXME raise ValueError("Error reserving buffer! Cannot handle so many data points!") #FIXME
print("init buffer")
@property @property
def fully_loaded(self): def fully_loaded(self):
return np.all(self._buffer is not None and self._fetched_data == self._full_shape) return np.all(self._buffer is not None and self._fetched_data == self._full_shape)
@property @property
def full_shape(self): def full_shape(self):
return self._full_shape return self._full_shape
@property @property
def current_shape(self): def current_shape(self):
return self._fetched_data return self._fetched_data
@ -79,4 +78,3 @@ class DataView():
r += " max chunk size: " + str(self._count) r += " max chunk size: " + str(self._count)
r += " is fully loaded: " + str(self.fully_loaded) r += " is fully loaded: " + str(self.fully_loaded)
return r return r

View File

@ -8,6 +8,7 @@ from nixview.util.enums import NodeType, PlotterTypes
class Singleton(type): class Singleton(type):
_instances = {} _instances = {}
def __call__(cls, *args, **kwargs): def __call__(cls, *args, **kwargs):
if cls not in cls._instances: if cls not in cls._instances:
cls._instances[cls] = super(Singleton, cls).__call__(*args, **kwargs) cls._instances[cls] = super(Singleton, cls).__call__(*args, **kwargs)
@ -19,29 +20,29 @@ class EntityBuffer():
def __init__(self) -> None: def __init__(self) -> None:
super().__init__() super().__init__()
self._buffer = {} self._buffer = {}
def put(self, entity): def put(self, entity):
if not hasattr(entity, "id"): if not hasattr(entity, "id"):
return return
id = entity.id id = entity.id
if id not in self._buffer.keys(): if id not in self._buffer.keys():
self._buffer[id] = entity self._buffer[id] = entity
def has(self, id): def has(self, id):
return id in self._buffer.keys() return id in self._buffer.keys()
def get(self, id): def get(self, id):
if self.has(id): if self.has(id):
return self._buffer[id] return self._buffer[id]
else: else:
return None return None
def clear(self): def clear(self):
self._buffer.clear() self._buffer.clear()
class FileHandler(metaclass=Singleton): class FileHandler(metaclass=Singleton):
def __init__(self) -> None: def __init__(self) -> None:
super().__init__() super().__init__()
self._filename = None self._filename = None
@ -50,24 +51,24 @@ class FileHandler(metaclass=Singleton):
self._entity_buffer = EntityBuffer() self._entity_buffer = EntityBuffer()
self._file_descriptor = None self._file_descriptor = None
self._file_version = None self._file_version = None
def open(self, filename): def open(self, filename):
self.close() self.close()
if not os.path.exists(filename): if not os.path.exists(filename):
return False, "File %s could not be found!" % filename return False, "File %s could not be found!" % filename
try: try:
self._nix_file = nix.File.open(filename, nix.FileMode.ReadOnly) self._nix_file = nix.File.open(filename, nix.FileMode.ReadOnly)
self._filename = filename self._filename = filename
self._file_descriptor = FileDescriptor(self.filename, self._nix_file.format, self._nix_file.version, self._file_descriptor = FileDescriptor(self.filename, self._nix_file.format, self._nix_file.version,
self._nix_file.created_at, self._nix_file.updated_at, os.path.getsize(self.filename)/1e+6) self._nix_file.created_at, self._nix_file.updated_at, os.path.getsize(self.filename) / 1e+6)
self.file_descriptor.block_count = len(self._nix_file.blocks) self.file_descriptor.block_count = len(self._nix_file.blocks)
for b in self._nix_file.blocks: for b in self._nix_file.blocks:
self.file_descriptor.data_array_count += len(b.data_arrays) self.file_descriptor.data_array_count += len(b.data_arrays)
self.file_descriptor.group_count += len(b.groups) self.file_descriptor.group_count += len(b.groups)
self.file_descriptor.tag_count += len(b.tags) self.file_descriptor.tag_count += len(b.tags)
self.file_descriptor.tag_count += len(b.multi_tags) self.file_descriptor.tag_count += len(b.multi_tags)
if hasattr(b, "data_frames"): if hasattr(b, "data_frames"):
self.file_descriptor.data_frame_count += len(b.data_frames) self.file_descriptor.data_frame_count += len(b.data_frames)
self._file_version = self._nix_file.version self._file_version = self._nix_file.version
return True, "Successfully opened file %s." % filename.split(os.sep)[-1] return True, "Successfully opened file %s." % filename.split(os.sep)[-1]
@ -92,11 +93,11 @@ class FileHandler(metaclass=Singleton):
@property @property
def is_valid(self): def is_valid(self):
return self._nix_file is not None and self._nix_file.is_open() return self._nix_file is not None and self._nix_file.is_open()
@property @property
def filename(self): def filename(self):
return self._filename return self._filename
def valid_count(self, shape, offset, count): def valid_count(self, shape, offset, count):
valid_count = np.empty(len(shape), dtype=int) valid_count = np.empty(len(shape), dtype=int)
for i, (o, c) in enumerate(zip(offset, count)): for i, (o, c) in enumerate(zip(offset, count)):
@ -105,13 +106,13 @@ class FileHandler(metaclass=Singleton):
else: else:
valid_count[i] = c valid_count[i] = c
return valid_count return valid_count
def count_is_valid(self, shape, offset, count): def count_is_valid(self, shape, offset, count):
res = True res = True
for s, o, c in zip(shape, offset, count): for s, o, c in zip(shape, offset, count):
res = res and o + c <= s res = res and o + c <= s
return res return res
def request_data(self, entity_descriptor, offset=None, count=None): def request_data(self, entity_descriptor, offset=None, count=None):
entity = self._entity_buffer.get(entity_descriptor.id) entity = self._entity_buffer.get(entity_descriptor.id)
if entity is None: if entity is None:
@ -131,7 +132,7 @@ class FileHandler(metaclass=Singleton):
else: else:
item = ItemDescriptor(fs.name, fs.id, fs.type, definition=fs.definition, entity_type=NodeType.Section) item = ItemDescriptor(fs.name, fs.id, fs.type, definition=fs.definition, entity_type=NodeType.Section)
return item return item
def request_metadata(self, root_id=None, depth=1): def request_metadata(self, root_id=None, depth=1):
"""[summary] """[summary]
@ -145,19 +146,19 @@ class FileHandler(metaclass=Singleton):
self._entity_buffer.put(s) self._entity_buffer.put(s)
sub_sections.append(ItemDescriptor(s.name, s.id, s.type, definition=s.definition, entity_type=NodeType.Section)) sub_sections.append(ItemDescriptor(s.name, s.id, s.type, definition=s.definition, entity_type=NodeType.Section))
return sub_sections return sub_sections
def get_properties(section): def get_properties(section):
props = [] props = []
for p in section.props: for p in section.props:
value = "" value = ""
if self._file_version < (1,1,1): if self._file_version < (1, 1, 1):
vals = p.values vals = p.values
if len(vals) > 1: if len(vals) > 1:
value += "[" value += "["
value += ",".join(map(str, [v.value for v in vals])) value += ",".join(map(str, [v.value for v in vals]))
value += "]" value += "]"
else: else:
value = str(vals[0].value) value = str(vals[0].value)
else: else:
vals = p.values vals = p.values
value += "[" value += "["
@ -207,7 +208,7 @@ class FileHandler(metaclass=Singleton):
point_or_segment = "segment" if e.extent else "point" point_or_segment = "segment" if e.extent else "point"
start = str(e.position) start = str(e.position)
end = ("to " + str(tuple(np.array(e.position) + np.array(e.extent)))) if e.extent else "" end = ("to " + str(tuple(np.array(e.position) + np.array(e.extent)))) if e.extent else ""
itd.value = "tags %s %s %s" %(point_or_segment, start, end) itd.value = "tags %s %s %s" % (point_or_segment, start, end)
# TODO set the value to something meaningful for the various entity types # TODO set the value to something meaningful for the various entity types
return infos return infos
@ -219,7 +220,7 @@ class FileHandler(metaclass=Singleton):
if not b: if not b:
b = self._nix_file.blocks[id] b = self._nix_file.blocks[id]
return b return b
def request_data_arrays(self, block_id): def request_data_arrays(self, block_id):
b = self.get_block(block_id) b = self.get_block(block_id)
return self._entity_info(b.data_arrays, block_id, NodeType.DataArray) return self._entity_info(b.data_arrays, block_id, NodeType.DataArray)
@ -262,10 +263,11 @@ class FileHandler(metaclass=Singleton):
dimensions = [] dimensions = []
for i, d in enumerate(da.dimensions): for i, d in enumerate(da.dimensions):
dim_name = "%i. dim: %s" % (i+1, d.label if hasattr(d, "label") else "") dim_name = "%i. dim: %s" % (i+1, d.label if hasattr(d, "label") else "")
dim_type= "%s %s" % (d.dimension_type, "dimension") dim_type = "%s %s" % (d.dimension_type, "dimension")
unit = d.unit if hasattr(d, "unit") else None unit = d.unit if hasattr(d, "unit") else None
label = d.label if hasattr(d, "label") else None label = d.label if hasattr(d, "label") else None
dimensions.append(ItemDescriptor(dim_name, type=dim_type, entity_type=NodeType.Dimension, block_id=block_id, unit=unit, label=label)) dimensions.append(ItemDescriptor(dim_name, type=dim_type, entity_type=NodeType.Dimension,
block_id=block_id, unit=unit, label=label))
return dimensions return dimensions
def request_axis(self, block_id, array_id, dimension_index, count, start=0): def request_axis(self, block_id, array_id, dimension_index, count, start=0):
@ -273,6 +275,7 @@ class FileHandler(metaclass=Singleton):
if da is None: if da is None:
b = self.get_block(block_id) b = self.get_block(block_id)
da = b.data_arrays[array_id] da = b.data_arrays[array_id]
dim = da.dimensions[dimension_index] dim = da.dimensions[dimension_index]
if dim.dimension_type == nix.DimensionType.Set: if dim.dimension_type == nix.DimensionType.Set:
labels = dim.labels labels = dim.labels
@ -280,7 +283,7 @@ class FileHandler(metaclass=Singleton):
raise ValueError("Invalid argument for start or count for SetDimension") raise ValueError("Invalid argument for start or count for SetDimension")
axis = labels[start:start + count] axis = labels[start:start + count]
if len(labels) == 0: if len(labels) == 0:
axis = list(map(str, range(start, start+count))) axis = list(map(str, range(start, start+count)))
else: else:
axis = np.asarray(dim.axis(count, start)) axis = np.asarray(dim.axis(count, start))
return axis return axis
@ -311,7 +314,7 @@ class FileHandler(metaclass=Singleton):
for src in srcs: for src in srcs:
sources.extend(get_subsources(src)) sources.extend(get_subsources(src))
return sources return sources
def guess_best_xdim(self, array): def guess_best_xdim(self, array):
data_extent = array.shape data_extent = array.shape
if len(data_extent) > 2: if len(data_extent) > 2:
@ -320,23 +323,24 @@ class FileHandler(metaclass=Singleton):
if len(data_extent) == 1: if len(data_extent) == 1:
return 0 return 0
d1 = array.dimensions[0] d0 = array.dimensions[0]
d2 = array.dimensions[1] d1 = array.dimensions[1]
shape = array.data_extent
if d1.dimension_type == nix.DimensionType.Sample: if d0.dimension_type == nix.DimensionType.Sample:
return 0 return 0
elif d2.dimension_type == nix.DimensionType.Sample: elif d1.dimension_type == nix.DimensionType.Sample:
return 1 return 1
else: else:
if (d1.dimension_type == nix.DimensionType.Set) and \ if (d0.dimension_type == nix.DimensionType.Set) and \
(d2.dimension_type == nix.DimensionType.Range): (d1.dimension_type == nix.DimensionType.Range):
return 1 return 1
elif (d1.dimension_type == nix.DimensionType.Range) and \ elif (d0.dimension_type == nix.DimensionType.Set) and \
(d2.dimension_type == nix.DimensionType.Set): (d1.dimension_type == nix.DimensionType.Set):
return 0 return int(np.argmax(shape))
else: else:
return 0 return 0
def suggested_plotter(self, array): def suggested_plotter(self, array):
if len(array.dimensions) > 3: if len(array.dimensions) > 3:
print("cannot handle more than 3D") print("cannot handle more than 3D")
@ -358,19 +362,19 @@ class FileHandler(metaclass=Singleton):
elif dim_count == 2: elif dim_count == 2:
if dim_types[0] == nix.DimensionType.Sample: if dim_types[0] == nix.DimensionType.Sample:
if dim_types[1] == nix.DimensionType.Sample or \ if dim_types[1] == nix.DimensionType.Sample or \
dim_types[1] == nix.DimensionType.Range: dim_types[1] == nix.DimensionType.Range:
return PlotterTypes.ImagePlotter return PlotterTypes.ImagePlotter
else: else:
return PlotterTypes.LinePlotter return PlotterTypes.LinePlotter
elif dim_types[0] == nix.DimensionType.Range: elif dim_types[0] == nix.DimensionType.Range:
if dim_types[1] == nix.DimensionType.Sample or \ if dim_types[1] == nix.DimensionType.Sample or \
dim_types[1] == nix.DimensionType.Range: dim_types[1] == nix.DimensionType.Range:
return PlotterTypes.ImagePlotter return PlotterTypes.ImagePlotter
else: else:
return PlotterTypes.LinePlotter return PlotterTypes.LinePlotter
elif dim_types[0] == nix.DimensionType.Set: elif dim_types[0] == nix.DimensionType.Set:
if dim_types[1] == nix.DimensionType.Sample or \ if dim_types[1] == nix.DimensionType.Sample or \
dim_types[1] == nix.DimensionType.Range: dim_types[1] == nix.DimensionType.Range:
return PlotterTypes.LinePlotter return PlotterTypes.LinePlotter
else: else:
return PlotterTypes.CategoryPlotter return PlotterTypes.CategoryPlotter