plots
plot
Functions:
|
Wrapper/decorator around an event that posts GUI events back to the main thread that our window is running in. |
Classes:
Main plot widget that holds plots for all pilots |
|
|
Widget that hosts a |
- gui_event(fn)[source]
Wrapper/decorator around an event that posts GUI events back to the main thread that our window is running in.
- Parameters
fn (callable) – a function that does something to the GUI
- class Plot_Widget[source]
Bases:
PySide2.QtWidgets.QWidget
Main plot widget that holds plots for all pilots
Essentially just a container to give plots a layout and handle any logic that should apply to all plots.
- Variables
Methods:
init_plots
(pilot_list)For each pilot, instantiate a
Plot
and add to layout.Attributes:
- init_plots(pilot_list)[source]
For each pilot, instantiate a
Plot
and add to layout.- Parameters
pilot_list (list) – the keys from
Terminal.pilots
- staticMetaObject = <PySide2.QtCore.QMetaObject object at 0x7f41799d7540>
- class Plot(pilot, x_width=50, parent=None)[source]
Bases:
PySide2.QtWidgets.QWidget
Widget that hosts a
pyqtgraph.PlotWidget
and manages graphical objects for one pilot depending on the task.listens
Key
Method
Description
‘START’
starting a new task
‘DATA’
getting a new datapoint
‘STOP’
stop the task
‘PARAM’
change some parameter
Plot Parameters
The plot is built from the
PLOT={data:plot_element}
mappings described in theTask
class. Additional parameters can be specified in thePLOT
dictionary. Currently:continuous (bool): whether the data should be plotted against the trial number (False or NA) or against time (True)
chance_bar (bool): Whether to draw a red horizontal line at chance level (default: 0.5)
chance_level (float): The position in the y-axis at which the
chance_bar
should be drawnroll_window (int): The number of trials
Roll_Mean
take the average over.
- Variables
pilot (str) –
The name of our pilot, used to set the identity of our socket, specifically:
'P_{pilot}'
infobox (
QtWidgets.QFormLayout
) – Box to plot basic task information like trial number, etc.info (dict) –
Widgets in infobox:
’N Trials’:
QtWidgets.QLabel
,’Runtime’ :
Timer
,’Session’ :
QtWidgets.QLabel
,’Protocol’:
QtWidgets.QLabel
,’Step’ :
QtWidgets.QLabel
plot (
pyqtgraph.PlotWidget
) – The widget where we draw our plotsplot_params (dict) – A dictionary of plot parameters we receive from the Task class
data (dict) – A dictionary of the data we’ve received
plots (dict) – The collection of plots we instantiate based on plot_params
node (
Net_Node
) – Our local net node where we listen for data.state (str) – state of the pilot, used to keep plot synchronized.
- Parameters
pilot (str) – The name of our pilot
x_width (int) – How many trials in the past should we plot?
Methods:
Make pre-task GUI objects and set basic visual parameters of self.plot
l_start
(value)Starting a task, initialize task-specific plot objects described in the
Task.PLOT
attribute.l_data
(value)Receive some data, if we were told to plot it, stash the data and update the assigned plot.
l_stop
(value)Clean up the plot objects.
l_param
(value)Warning
Not implemented
l_state
(value)Pilot letting us know its state has changed.
Attributes:
- l_start(value)[source]
Starting a task, initialize task-specific plot objects described in the
Task.PLOT
attribute.Matches the data field name (keys of
Task.PLOT
) to the plot object that represents it, eg, to make the standard nafc plot:{'target' : 'point', 'response' : 'segment', 'correct' : 'rollmean'}
- Parameters
value (dict) – The same parameter dictionary sent by
Terminal.toggle_start()
, includingcurrent_trial
step
session
step_name
task_type
- l_data(value)[source]
Receive some data, if we were told to plot it, stash the data and update the assigned plot.
- Parameters
value (dict) – Value field of a data message sent during a task.
- l_stop(value)[source]
Clean up the plot objects.
- Parameters
value (dict) – if “graduation” is a key, don’t stop the timer.
- l_state(value)[source]
Pilot letting us know its state has changed. Mostly for the case where we think we’re running but the pi doesn’t.
- Parameters
value (
Pilot.state
) – the state of our pilot
- staticMetaObject = <PySide2.QtCore.QMetaObject object at 0x7f41799d7b40>
geom
Classes:
|
A simple point. |
|
A simple line |
|
A line segment that draws from 0.5 to some endpoint. |
Shaded area underneath a rolling average. |
|
|
Shaded area for a continuous plot |
|
A Horizontal line. |
Data:
A dictionary connecting plot keys to objects. |
- class Point(color=(0, 0, 0), size=5, **kwargs)[source]
Bases:
pyqtgraph.graphicsItems.PlotDataItem.PlotDataItem
A simple point.
- Variables
brush (
QtWidgets.QBrush
) –pen (
QtWidgets.QPen
) –
- Parameters
color (tuple) – RGB color of points
size (int) – width in px.
Methods:
update
(data)- Parameters
data (
numpy.ndarray
) -- an x_width x 2 array where
Attributes:
- update(data)[source]
- Parameters
data (
numpy.ndarray
) – an x_width x 2 array where column 0 is trial number and column 1 is the value, where value can be “L”, “C”, “R” or a float.
- staticMetaObject = <PySide2.QtCore.QMetaObject object at 0x7f4179a2f740>
- class Line(color=(0, 0, 0), size=1, **kwargs)[source]
Bases:
pyqtgraph.graphicsItems.PlotDataItem.PlotDataItem
A simple line
There are many different ways to create a PlotDataItem.
Data initialization arguments: (x,y data only)
PlotDataItem(x, y)
x, y: array_like coordinate values
PlotDataItem(y)
y values only – x will be automatically set to
range(len(y))
PlotDataItem(x=x, y=y)
x and y given by keyword arguments
PlotDataItem(ndarray(N,2))
single numpy array with shape (N, 2), where
x=data[:,0]
andy=data[:,1]
Data initialization arguments: (x,y data AND may include spot style)
PlotDataItem(recarray)
numpy record array with
dtype=[('x', float), ('y', float), ...]
PlotDataItem(list-of-dicts)
[{'x': x, 'y': y, ...}, ...]
PlotDataItem(dict-of-lists)
{'x': [...], 'y': [...], ...}
Line style keyword arguments:
connect
Specifies how / whether vertexes should be connected. See below for details.
pen
Pen to use for drawing the lines between points. Default is solid grey, 1px width. Use None to disable line drawing. May be a
QPen
or any single argument accepted bymkPen()
shadowPen
Pen for secondary line to draw behind the primary line. Disabled by default. May be a
QPen
or any single argument accepted bymkPen()
fillLevel
If specified, the area between the curve and fillLevel is filled.
fillOutline
(bool) If True, an outline surrounding the fillLevel area is drawn.
fillBrush
Fill to use in the fillLevel area. May be any single argument accepted by
mkBrush()
stepMode
(str or None) If specified and not None, a stepped curve is drawn. For ‘left’ the specified points each describe the left edge of a step. For ‘right’, they describe the right edge. For ‘center’, the x coordinates specify the location of the step boundaries. This mode is commonly used for histograms. Note that it requires an additional x value, such that len(x) = len(y) + 1 .
connect
supports the following arguments:‘all’ connects all points.
‘pairs’ generates lines between every other point.
‘finite’ creates a break when a nonfinite points is encountered.
If an ndarray is passed, it should contain N int32 values of 0 or 1. Values of 1 indicate that the respective point will be connected to the next.
In the default ‘auto’ mode, PlotDataItem will normally use ‘all’, but if any nonfinite data points are detected, it will automatically switch to ‘finite’.
See
arrayToQPath()
for more details.Point style keyword arguments: (see
ScatterPlotItem.setData()
for more information)symbol
Symbol to use for drawing points, or a list of symbols for each. The default is no symbol.
symbolPen
Outline pen for drawing points, or a list of pens, one per point. May be any single argument accepted by
mkPen()
.symbolBrush
Brush for filling points, or a list of brushes, one per point. May be any single argument accepted by
mkBrush()
.symbolSize
Diameter of symbols, or list of diameters.
pxMode
(bool) If True, then symbolSize is specified in pixels. If False, then symbolSize is specified in data coordinates.
Any symbol recognized by
ScatterPlotItem
can be specified, including ‘o’ (circle), ‘s’ (square), ‘t’, ‘t1’, ‘t2’, ‘t3’ (triangles of different orientation), ‘d’ (diamond), ‘+’ (plus sign), ‘x’ (x mark), ‘p’ (pentagon), ‘h’ (hexagon) and ‘star’.Symbols can also be directly given in the form of a
QtGui.QPainterPath
instance.Optimization keyword arguments:
antialias
(bool) By default, antialiasing is disabled to improve performance. Note that in some cases (in particular, when
pxMode=True
), points will be rendered antialiased even if this is set to False.downsample
(int) Reduce the number of samples displayed by the given factor.
downsampleMethod
‘subsample’: Downsample by taking the first of N samples. This method is fastest and least accurate. ‘mean’: Downsample by taking the mean of N samples. ‘peak’: Downsample by drawing a saw wave that follows the min and max of the original data. This method produces the best visual representation of the data but is slower.
autoDownsample
(bool) If True, resample the data before plotting to avoid plotting multiple line segments per pixel. This can improve performance when viewing very high-density data, but increases the initial overhead and memory usage.
clipToView
(bool) If True, only data visible within the X range of the containing
ViewBox
is plotted. This can improve performance when plotting very large data sets where only a fraction of the data is visible at any time.dynamicRangeLimit
(float or None) Limit off-screen y positions of data points. None disables the limiting. This can increase performance but may cause plots to disappear at high levels of magnification. The default of 1e6 limits data to approximately 1,000,000 times the
ViewBox
height.dynamicRangeHyst
(float) Permits changes in vertical zoom up to the given hysteresis factor (the default is 3.0) before the limit calculation is repeated.
skipFiniteCheck
(bool, default False) Optimization flag that can speed up plotting by not checking and compensating for NaN values. If set to True, and NaN values exist, unpredictable behavior will occur. The data may not be displayed or the plot may take a significant performance hit.
In the default ‘auto’ connect mode, PlotDataItem will apply this setting automatically.
Meta-info keyword arguments:
name
(string) Name of item for use in the plot legend
Notes on performance:
Plotting lines with the default single-pixel width is the fastest available option. For such lines, translucent colors (alpha < 1) do not result in a significant slowdown.
Wider lines increase the complexity due to the overlap of individual line segments. Translucent colors require merging the entire plot into a single entity before the alpha value can be applied. For plots with more than a few hundred points, this can result in excessive slowdown.
Since version 0.12.4, this slowdown is automatically avoided by an algorithm that draws line segments separately for fully opaque lines. Setting alpha < 1 reverts to the previous, slower drawing method.
For lines with a width of more than 4 pixels,
pyqtgraph.mkPen()
will automatically create aQPen
with Qt.PenCapStyle.RoundCap to ensure a smooth connection of line segments. This incurs a small performance penalty.Methods:
update
() -> None)Attributes:
- update(self, rect: PySide2.QtCore.QRectF = Default(QRectF)) None [source]
- update(self, x: float, y: float, width: float, height: float) None
- staticMetaObject = <PySide2.QtCore.QMetaObject object at 0x7f4179a2fa00>
- class Segment(**kwargs)[source]
Bases:
pyqtgraph.graphicsItems.PlotDataItem.PlotDataItem
A line segment that draws from 0.5 to some endpoint.
There are many different ways to create a PlotDataItem.
Data initialization arguments: (x,y data only)
PlotDataItem(x, y)
x, y: array_like coordinate values
PlotDataItem(y)
y values only – x will be automatically set to
range(len(y))
PlotDataItem(x=x, y=y)
x and y given by keyword arguments
PlotDataItem(ndarray(N,2))
single numpy array with shape (N, 2), where
x=data[:,0]
andy=data[:,1]
Data initialization arguments: (x,y data AND may include spot style)
PlotDataItem(recarray)
numpy record array with
dtype=[('x', float), ('y', float), ...]
PlotDataItem(list-of-dicts)
[{'x': x, 'y': y, ...}, ...]
PlotDataItem(dict-of-lists)
{'x': [...], 'y': [...], ...}
Line style keyword arguments:
connect
Specifies how / whether vertexes should be connected. See below for details.
pen
Pen to use for drawing the lines between points. Default is solid grey, 1px width. Use None to disable line drawing. May be a
QPen
or any single argument accepted bymkPen()
shadowPen
Pen for secondary line to draw behind the primary line. Disabled by default. May be a
QPen
or any single argument accepted bymkPen()
fillLevel
If specified, the area between the curve and fillLevel is filled.
fillOutline
(bool) If True, an outline surrounding the fillLevel area is drawn.
fillBrush
Fill to use in the fillLevel area. May be any single argument accepted by
mkBrush()
stepMode
(str or None) If specified and not None, a stepped curve is drawn. For ‘left’ the specified points each describe the left edge of a step. For ‘right’, they describe the right edge. For ‘center’, the x coordinates specify the location of the step boundaries. This mode is commonly used for histograms. Note that it requires an additional x value, such that len(x) = len(y) + 1 .
connect
supports the following arguments:‘all’ connects all points.
‘pairs’ generates lines between every other point.
‘finite’ creates a break when a nonfinite points is encountered.
If an ndarray is passed, it should contain N int32 values of 0 or 1. Values of 1 indicate that the respective point will be connected to the next.
In the default ‘auto’ mode, PlotDataItem will normally use ‘all’, but if any nonfinite data points are detected, it will automatically switch to ‘finite’.
See
arrayToQPath()
for more details.Point style keyword arguments: (see
ScatterPlotItem.setData()
for more information)symbol
Symbol to use for drawing points, or a list of symbols for each. The default is no symbol.
symbolPen
Outline pen for drawing points, or a list of pens, one per point. May be any single argument accepted by
mkPen()
.symbolBrush
Brush for filling points, or a list of brushes, one per point. May be any single argument accepted by
mkBrush()
.symbolSize
Diameter of symbols, or list of diameters.
pxMode
(bool) If True, then symbolSize is specified in pixels. If False, then symbolSize is specified in data coordinates.
Any symbol recognized by
ScatterPlotItem
can be specified, including ‘o’ (circle), ‘s’ (square), ‘t’, ‘t1’, ‘t2’, ‘t3’ (triangles of different orientation), ‘d’ (diamond), ‘+’ (plus sign), ‘x’ (x mark), ‘p’ (pentagon), ‘h’ (hexagon) and ‘star’.Symbols can also be directly given in the form of a
QtGui.QPainterPath
instance.Optimization keyword arguments:
antialias
(bool) By default, antialiasing is disabled to improve performance. Note that in some cases (in particular, when
pxMode=True
), points will be rendered antialiased even if this is set to False.downsample
(int) Reduce the number of samples displayed by the given factor.
downsampleMethod
‘subsample’: Downsample by taking the first of N samples. This method is fastest and least accurate. ‘mean’: Downsample by taking the mean of N samples. ‘peak’: Downsample by drawing a saw wave that follows the min and max of the original data. This method produces the best visual representation of the data but is slower.
autoDownsample
(bool) If True, resample the data before plotting to avoid plotting multiple line segments per pixel. This can improve performance when viewing very high-density data, but increases the initial overhead and memory usage.
clipToView
(bool) If True, only data visible within the X range of the containing
ViewBox
is plotted. This can improve performance when plotting very large data sets where only a fraction of the data is visible at any time.dynamicRangeLimit
(float or None) Limit off-screen y positions of data points. None disables the limiting. This can increase performance but may cause plots to disappear at high levels of magnification. The default of 1e6 limits data to approximately 1,000,000 times the
ViewBox
height.dynamicRangeHyst
(float) Permits changes in vertical zoom up to the given hysteresis factor (the default is 3.0) before the limit calculation is repeated.
skipFiniteCheck
(bool, default False) Optimization flag that can speed up plotting by not checking and compensating for NaN values. If set to True, and NaN values exist, unpredictable behavior will occur. The data may not be displayed or the plot may take a significant performance hit.
In the default ‘auto’ connect mode, PlotDataItem will apply this setting automatically.
Meta-info keyword arguments:
name
(string) Name of item for use in the plot legend
Notes on performance:
Plotting lines with the default single-pixel width is the fastest available option. For such lines, translucent colors (alpha < 1) do not result in a significant slowdown.
Wider lines increase the complexity due to the overlap of individual line segments. Translucent colors require merging the entire plot into a single entity before the alpha value can be applied. For plots with more than a few hundred points, this can result in excessive slowdown.
Since version 0.12.4, this slowdown is automatically avoided by an algorithm that draws line segments separately for fully opaque lines. Setting alpha < 1 reverts to the previous, slower drawing method.
For lines with a width of more than 4 pixels,
pyqtgraph.mkPen()
will automatically create aQPen
with Qt.PenCapStyle.RoundCap to ensure a smooth connection of line segments. This incurs a small performance penalty.Methods:
update
(data)data is doubled and then every other value is set to 0.5, then
setData()
is used with connect='pairs' to make line segments.Attributes:
- update(data)[source]
data is doubled and then every other value is set to 0.5, then
setData()
is used with connect=’pairs’ to make line segments.- Parameters
data (
numpy.ndarray
) – an x_width x 2 array where column 0 is trial number and column 1 is the value, where value can be “L”, “C”, “R” or a float.
- staticMetaObject = <PySide2.QtCore.QMetaObject object at 0x7f41799d71c0>
- class Roll_Mean[source]
Bases:
pyqtgraph.graphicsItems.PlotDataItem.PlotDataItem
Shaded area underneath a rolling average.
Typically used as a rolling mean of corrects, so area above and below 0.5 is drawn.
- Parameters
winsize (int) – number of trials in the past to take a rolling mean of
Methods:
update
(data)- Parameters
data (
numpy.ndarray
) -- an x_width x 2 array where
Attributes:
- update(data)[source]
- Parameters
data (
numpy.ndarray
) – an x_width x 2 array where column 0 is trial number and column 1 is the value.
- staticMetaObject = <PySide2.QtCore.QMetaObject object at 0x7f41799d7240>
- class Shaded(**kwargs)[source]
Bases:
pyqtgraph.graphicsItems.PlotDataItem.PlotDataItem
Shaded area for a continuous plot
There are many different ways to create a PlotDataItem.
Data initialization arguments: (x,y data only)
PlotDataItem(x, y)
x, y: array_like coordinate values
PlotDataItem(y)
y values only – x will be automatically set to
range(len(y))
PlotDataItem(x=x, y=y)
x and y given by keyword arguments
PlotDataItem(ndarray(N,2))
single numpy array with shape (N, 2), where
x=data[:,0]
andy=data[:,1]
Data initialization arguments: (x,y data AND may include spot style)
PlotDataItem(recarray)
numpy record array with
dtype=[('x', float), ('y', float), ...]
PlotDataItem(list-of-dicts)
[{'x': x, 'y': y, ...}, ...]
PlotDataItem(dict-of-lists)
{'x': [...], 'y': [...], ...}
Line style keyword arguments:
connect
Specifies how / whether vertexes should be connected. See below for details.
pen
Pen to use for drawing the lines between points. Default is solid grey, 1px width. Use None to disable line drawing. May be a
QPen
or any single argument accepted bymkPen()
shadowPen
Pen for secondary line to draw behind the primary line. Disabled by default. May be a
QPen
or any single argument accepted bymkPen()
fillLevel
If specified, the area between the curve and fillLevel is filled.
fillOutline
(bool) If True, an outline surrounding the fillLevel area is drawn.
fillBrush
Fill to use in the fillLevel area. May be any single argument accepted by
mkBrush()
stepMode
(str or None) If specified and not None, a stepped curve is drawn. For ‘left’ the specified points each describe the left edge of a step. For ‘right’, they describe the right edge. For ‘center’, the x coordinates specify the location of the step boundaries. This mode is commonly used for histograms. Note that it requires an additional x value, such that len(x) = len(y) + 1 .
connect
supports the following arguments:‘all’ connects all points.
‘pairs’ generates lines between every other point.
‘finite’ creates a break when a nonfinite points is encountered.
If an ndarray is passed, it should contain N int32 values of 0 or 1. Values of 1 indicate that the respective point will be connected to the next.
In the default ‘auto’ mode, PlotDataItem will normally use ‘all’, but if any nonfinite data points are detected, it will automatically switch to ‘finite’.
See
arrayToQPath()
for more details.Point style keyword arguments: (see
ScatterPlotItem.setData()
for more information)symbol
Symbol to use for drawing points, or a list of symbols for each. The default is no symbol.
symbolPen
Outline pen for drawing points, or a list of pens, one per point. May be any single argument accepted by
mkPen()
.symbolBrush
Brush for filling points, or a list of brushes, one per point. May be any single argument accepted by
mkBrush()
.symbolSize
Diameter of symbols, or list of diameters.
pxMode
(bool) If True, then symbolSize is specified in pixels. If False, then symbolSize is specified in data coordinates.
Any symbol recognized by
ScatterPlotItem
can be specified, including ‘o’ (circle), ‘s’ (square), ‘t’, ‘t1’, ‘t2’, ‘t3’ (triangles of different orientation), ‘d’ (diamond), ‘+’ (plus sign), ‘x’ (x mark), ‘p’ (pentagon), ‘h’ (hexagon) and ‘star’.Symbols can also be directly given in the form of a
QtGui.QPainterPath
instance.Optimization keyword arguments:
antialias
(bool) By default, antialiasing is disabled to improve performance. Note that in some cases (in particular, when
pxMode=True
), points will be rendered antialiased even if this is set to False.downsample
(int) Reduce the number of samples displayed by the given factor.
downsampleMethod
‘subsample’: Downsample by taking the first of N samples. This method is fastest and least accurate. ‘mean’: Downsample by taking the mean of N samples. ‘peak’: Downsample by drawing a saw wave that follows the min and max of the original data. This method produces the best visual representation of the data but is slower.
autoDownsample
(bool) If True, resample the data before plotting to avoid plotting multiple line segments per pixel. This can improve performance when viewing very high-density data, but increases the initial overhead and memory usage.
clipToView
(bool) If True, only data visible within the X range of the containing
ViewBox
is plotted. This can improve performance when plotting very large data sets where only a fraction of the data is visible at any time.dynamicRangeLimit
(float or None) Limit off-screen y positions of data points. None disables the limiting. This can increase performance but may cause plots to disappear at high levels of magnification. The default of 1e6 limits data to approximately 1,000,000 times the
ViewBox
height.dynamicRangeHyst
(float) Permits changes in vertical zoom up to the given hysteresis factor (the default is 3.0) before the limit calculation is repeated.
skipFiniteCheck
(bool, default False) Optimization flag that can speed up plotting by not checking and compensating for NaN values. If set to True, and NaN values exist, unpredictable behavior will occur. The data may not be displayed or the plot may take a significant performance hit.
In the default ‘auto’ connect mode, PlotDataItem will apply this setting automatically.
Meta-info keyword arguments:
name
(string) Name of item for use in the plot legend
Notes on performance:
Plotting lines with the default single-pixel width is the fastest available option. For such lines, translucent colors (alpha < 1) do not result in a significant slowdown.
Wider lines increase the complexity due to the overlap of individual line segments. Translucent colors require merging the entire plot into a single entity before the alpha value can be applied. For plots with more than a few hundred points, this can result in excessive slowdown.
Since version 0.12.4, this slowdown is automatically avoided by an algorithm that draws line segments separately for fully opaque lines. Setting alpha < 1 reverts to the previous, slower drawing method.
For lines with a width of more than 4 pixels,
pyqtgraph.mkPen()
will automatically create aQPen
with Qt.PenCapStyle.RoundCap to ensure a smooth connection of line segments. This incurs a small performance penalty.Methods:
update
(data)- Parameters
data (
numpy.ndarray
) -- an x_width x 2 array where
Attributes:
- update(data)[source]
- Parameters
data (
numpy.ndarray
) – an x_width x 2 array where column 0 is time and column 1 is the value.
- staticMetaObject = <PySide2.QtCore.QMetaObject object at 0x7f41799d7300>
- class HLine[source]
Bases:
PySide2.QtWidgets.QFrame
A Horizontal line.
Attributes:
- staticMetaObject = <PySide2.QtCore.QMetaObject object at 0x7f41799d75c0>
- PLOT_LIST = { 'line': <class 'autopilot.gui.plots.geom.Line'>, 'point': <class 'autopilot.gui.plots.geom.Point'>, 'rollmean': <class 'autopilot.gui.plots.geom.Roll_Mean'>, 'segment': <class 'autopilot.gui.plots.geom.Segment'>, 'shaded': <class 'autopilot.gui.plots.geom.Shaded'>}
A dictionary connecting plot keys to objects.
Todo
Just reference the plot objects.
info
Classes:
|
A simple timer that counts. |
- class Timer[source]
Bases:
PySide2.QtWidgets.QLabel
A simple timer that counts… time…
Uses a
QtCore.QTimer
connected toTimer.update_time()
.Methods:
start_timer
([update_interval])- Parameters
update_interval (float) -- How often (in ms) the timer should be updated.
you can read the sign ya punk
Called every (update_interval) milliseconds to set the text of the timer.
Attributes:
- start_timer(update_interval=1000)[source]
- Parameters
update_interval (float) – How often (in ms) the timer should be updated.
- staticMetaObject = <PySide2.QtCore.QMetaObject object at 0x7f4179a2f8c0>
video
Classes:
|
Display Video data as it is collected. |
|
Reclass of |
- class Video(videos, fps=None)[source]
Bases:
PySide2.QtWidgets.QWidget
Display Video data as it is collected.
Uses the
ImageItem_TimedUpdate
class to do timed frame updates.- Parameters
videos (list, tuple) – Names of video streams that will be displayed
fps (int) – if None, draw according to
prefs.get('DRAWFPS')
. Otherwise frequency of widget update
- Variables
videos (list, tuple) – Names of video streams that will be displayed
fps (int) – if None, draw according to
prefs.get('DRAWFPS')
. Otherwise frequency of widget updateifps (int) – 1/fps, duration of frame in s
qs (dict) – Dictionary of :class:`~queue.Queue`s in which frames will be dumped
quitting (
threading.Event
) – Signal to quit drawingupdate_thread (
threading.Thread
) – Thread with target=:meth:~.Video._update_framelayout (
PySide2.QtWidgets.QGridLayout
) – Widget layoutvid_widgets (dict) – dict containing widgets for each of the individual video streams.
Methods:
init_gui
()update_frame
(video, data)Put a frame for a video stream into its queue.
release
()Attributes:
- update_frame(video, data)[source]
Put a frame for a video stream into its queue.
If there is a waiting frame, pull it from the queue first – it’s old now.
- Parameters
video (str) – name of video stream
data (
numpy.ndarray
) – video frame
- staticMetaObject = <PySide2.QtCore.QMetaObject object at 0x7f417d53a400>
- class ImageItem_TimedUpdate(*args, **kwargs)[source]
Bases:
pyqtgraph.graphicsItems.ImageItem.ImageItem
Reclass of
pyqtgraph.ImageItem
to update with a fixed fps.Rather than calling
update()
every time a frame is updated, call it according to the timer.fps is set according to
prefs.get('DRAWFPS')
, if not available, draw at 10fps- Variables
timer (
QTimer
) – Timer held inglobals()
that synchronizes frame updates across image items
See
setOpts()
for further keyword arguments and andsetImage()
for information on supported formats.- image: array
Image data
Methods:
setImage
([image, autoLevels])Updates the image displayed by this ImageItem.
Call
update()
Attributes:
- setImage(image=None, autoLevels=None, **kargs)[source]
Updates the image displayed by this ImageItem. For more information on how the image is processed before displaying, see
makeARGB()
.For backward compatibility, image data is assumed to be in column-major order (column, row) by default. However, most data is stored in row-major order (row, column). It can either be transposed before assignment:
imageitem.setImage(imagedata.T)
or the interpretation of the data can be changed locally through the
axisOrder
keyword or by changing the imageAxisOrder global configuration option.All keywords supported by
setOpts()
are also allowed here.- image: array
Image data given as NumPy array with an integer or floating point dtype of any bit depth. A 2-dimensional array describes single-valued (monochromatic) data. A 3-dimensional array is used to give individual color components. The third dimension must be of length 3 (RGB) or 4 (RGBA).
- rect: QRectF, QRect or list_like of floats
[x, y, w, h]
, optional If given, sets translation and scaling to display the image within the specified rectangle. See
setRect()
.- autoLevels: bool, optional
If True, ImageItem will automatically select levels based on the maximum and minimum values encountered in the data. For performance reasons, this search subsamples the images and may miss individual bright or or dark points in the data set.
If False, the search will be omitted.
The default is False if a
levels
keyword argument is given, and True otherwise.- levelSamples: int, default 65536
When determining minimum and maximum values, ImageItem only inspects a subset of pixels no larger than this number. Setting this larger than the total number of pixels considers all values.
- staticMetaObject = <PySide2.QtCore.QMetaObject object at 0x7f417d665300>