def draw(self, context):
layout = self.layout
metadata_index = context.scene.data_list_index
metadata_list = context.scene.data_list
# valid index is ensured by invoke method
metadata = metadata_list[metadata_index]
col = layout.column(align=True)
col.enabled = False
col.label(text=f'Name: {metadata.name}')
col.label(text=f'Filepath: {metadata.filepath}')
col.label(text=f'Info: {metadata.data_info}')
row = layout.row(align=True)
row.prop(self, 'should_scroll_left', text='', icon='TRIA_LEFT')
row.prop(self, 'max_displayed_cols', text='Displayed Columns')
row.prop(self, 'should_scroll_right', text='', icon='TRIA_RIGHT')
data_manager = DataManager()
# TODO: not super fast, but gets the job done
parsed_data = data_manager.get_parsed_data()
self.handle_property_input(parsed_data)
row = layout.row()
start_index = self.start_col_index
max_index = start_index + self.max_displayed_cols - 1
for i in range(len(parsed_data[1])):
if i < start_index or i > max_index:
continue
col = row.column()
for j in range(len(parsed_data)):
col.label(text=str(parsed_data[j][i]))
def execute(self, context):
data_manager = DataManager()
line_n = data_manager.load_data(self.filepath)
report_type = {'INFO'}
if line_n == 0:
report_type = {'WARNING'}
self.report(report_type, f'File: {self.filepath}, loaded {line_n} lines!')
return {'FINISHED'}
def __init__(self):
self.container_object = None
self.labels = []
self.dm = DataManager()
self.prev_anim_setting = False
if hasattr(self, 'dimensions'):
self.dimensions = str(self.dm.dimensions)
if hasattr(self, 'data_type'):
self.data_type = '0' if self.dm.predicted_data_type == DataType.Numerical else '1'
self.chart_id = OBJECT_OT_GenericChart.chart_id
OBJECT_OT_GenericChart.chart_id += 1
def poll(cls, context):
for mod in ['scipy', 'numpy']:
if not env_utils.is_module_installed(mod):
return False
return DataManager().is_type(DataType.Numerical, [3], only_3d=True)
def poll(cls, context):
dm = DataManager()
return dm.is_type(DataType.Numerical, 3) and dm.has_compatible_subtype(
[DataSubtype.XYW, DataSubtype.XYZW])
def poll(cls, context):
dm = DataManager()
return dm.is_type(DataType.Numerical, [2]) or dm.is_type(DataType.Categorical, [2])
def poll(cls, context):
dm = DataManager()
return not dm.has_labels and dm.is_type(DataType.Categorical, [2])
class DV_AxisPropertyGroup(bpy.types.PropertyGroup):
'''Axis Settings, used with AxisFactory'''
def range_updated(self, context):
if self.x_range[0] == self.x_range[1]:
self.x_range[1] += 1.0
if self.y_range[0] == self.y_range[1]:
self.y_range[1] += 1.0
if self.z_range[0] == self.z_range[1]:
self.z_range += 1.0
create: bpy.props.BoolProperty(
name='Create Axis Object',
default=True,
)
auto_steps: bpy.props.BoolProperty(
name='Automatic Steps',
default=True,
description='Automatically calculates stepsize to display 10 marks')
x_step: bpy.props.FloatProperty(
name='Step of x axis',
default=1.0,
)
x_range: bpy.props.FloatVectorProperty(
name='Range of x axis',
size=2,
update=range_updated,
default=DataManager().get_range('x'))
y_step: bpy.props.FloatProperty(
name='Step of y axis',
default=1.0,
)
y_range: bpy.props.FloatVectorProperty(
name='Range of y axis',
size=2,
update=range_updated,
default=DataManager().get_range('y'))
z_range: bpy.props.FloatVectorProperty(
name='Range of y axis',
size=2,
update=range_updated,
default=DataManager().get_range('z'),
)
z_step: bpy.props.FloatProperty(
name='Step of z axis',
default=1.0,
)
z_position: bpy.props.EnumProperty(
name='Z Axis Pos',
items=(
('FRONT', 'Front', 'Left front corner'),
('BACK', 'Back', 'Left back corner'),
('RIGHT', 'Right', 'Right front corner'),
),
default='FRONT')
thickness: bpy.props.FloatProperty(
name='Thickness',
min=0.001,
max=0.02,
default=0.005,
description='How thick is the axis object')
tick_mark_height: bpy.props.FloatProperty(
name='Tick Mark Height',
default=0.015,
min=0.001,
max=0.02,
description='Thickness of axis mark objects')
padding: bpy.props.FloatProperty(
name='Padding',
default=0.1,
min=0,
description='Axis distance from chart origin')
text_size: bpy.props.FloatProperty(name='Text size', default=0.05)
number_format: bpy.props.EnumProperty(name='Num format',
items=(('0', 'Decimal', '123.456'),
('1', 'Scientific',
'1.23e+05')))
decimal_places: bpy.props.IntProperty(name='Decimal places',
default=2,
min=0)
def poll(cls, context):
return DataManager().is_type(DataType.Numerical, [2, 3])
def poll(cls, context):
return modules_available and DataManager().is_type(DataType.Numerical, [3])