plotting module¶
Base plotting functions.
Provides functions for visualizing data in an efficient and convenient way. Each creates a figure widget that is compatible with ipywidgets and enables interactive data visualization in Jupyter Notebook and JupyterLab environments. For more details on using Plotly, see Getting Started with Plotly in Python.
The module can be accessed directly via vbt.plotting
.
Warning
In case of errors, it won't be visible in the notebook cell, but in the logs.
clean_labels function¶
clean_labels(
labels
)
Clean labels.
Plotly doesn't support multi-indexes.
Bar class¶
Bar(
data=None,
trace_names=None,
x_labels=None,
trace_kwargs=None,
add_trace_kwargs=None,
fig=None,
**layout_kwargs
)
Class with an initialization config.
All subclasses of Configured
are initialized using Config
, which makes it easier to pickle.
Settings are defined under configured
in settings.
Warning
If any attribute has been overwritten that isn't listed in Configured.writeable_attrs
, or if any Configured.__init__
argument depends upon global defaults, their values won't be copied over. Make sure to pass them explicitly to make the saved & loaded / copied instance resilient to changes in globals.
Create a bar plot.
Args
data
:array_like
-
Data in any format that can be converted to NumPy.
Must be of shape (
x_labels
,trace_names
). trace_names
:str
orlist
ofstr
- Trace names, corresponding to columns in pandas.
x_labels
:array_like
- X-axis labels, corresponding to index in pandas.
trace_kwargs
:dict
orlist
ofdict
-
Keyword arguments passed to
plotly.graph_objects.Bar
.Can be specified per trace as a sequence of dicts.
add_trace_kwargs
:dict
- Keyword arguments passed to
add_trace
. fig
:Figure
orFigureWidget
- Figure to add traces to.
**layout_kwargs
- Keyword arguments for layout.
Usage
>>> import vectorbt as vbt
>>> bar = vbt.plotting.Bar(
... data=[[1, 2], [3, 4]],
... trace_names=['a', 'b'],
... x_labels=['x', 'y']
... )
>>> bar.fig
Superclasses
Inherited members
- Configured.config
- Configured.copy()
- Configured.dumps()
- Configured.loads()
- Configured.replace()
- Configured.to_doc()
- Configured.update_config()
- Configured.writeable_attrs
- Pickleable.load()
- Pickleable.save()
- TraceUpdater.fig
- TraceUpdater.traces
update method¶
Bar.update(
data
)
Update the trace data.
Usage
>>> bar.update([[2, 1], [4, 3]])
>>> bar.fig
Box class¶
Box(
data=None,
trace_names=None,
horizontal=False,
remove_nan=True,
from_quantile=None,
to_quantile=None,
trace_kwargs=None,
add_trace_kwargs=None,
fig=None,
**layout_kwargs
)
Class with an initialization config.
All subclasses of Configured
are initialized using Config
, which makes it easier to pickle.
Settings are defined under configured
in settings.
Warning
If any attribute has been overwritten that isn't listed in Configured.writeable_attrs
, or if any Configured.__init__
argument depends upon global defaults, their values won't be copied over. Make sure to pass them explicitly to make the saved & loaded / copied instance resilient to changes in globals.
Create a box plot.
For keyword arguments, see Histogram.
Usage
>>> import vectorbt as vbt
>>> box = vbt.plotting.Box(
... data=[[1, 2], [3, 4], [2, 1]],
... trace_names=['a', 'b']
... )
>>> box.fig
Superclasses
Inherited members
- Configured.config
- Configured.copy()
- Configured.dumps()
- Configured.loads()
- Configured.replace()
- Configured.to_doc()
- Configured.update_config()
- Configured.writeable_attrs
- Pickleable.load()
- Pickleable.save()
- TraceUpdater.fig
- TraceUpdater.traces
- TraceUpdater.update()
from_quantile property¶
Filter out data points before this quantile.
horizontal property¶
Whether to plot horizontally.
remove_nan property¶
Whether to remove NaN values.
to_quantile property¶
Filter out data points after this quantile.
Gauge class¶
Gauge(
value=None,
label=None,
value_range=None,
cmap_name='Spectral',
trace_kwargs=None,
add_trace_kwargs=None,
fig=None,
**layout_kwargs
)
Class with an initialization config.
All subclasses of Configured
are initialized using Config
, which makes it easier to pickle.
Settings are defined under configured
in settings.
Warning
If any attribute has been overwritten that isn't listed in Configured.writeable_attrs
, or if any Configured.__init__
argument depends upon global defaults, their values won't be copied over. Make sure to pass them explicitly to make the saved & loaded / copied instance resilient to changes in globals.
Create a gauge plot.
Args
value
:float
- The value to be displayed.
label
:str
- The label to be displayed.
value_range
:tuple
offloat
- The value range of the gauge.
cmap_name
:str
-
A matplotlib-compatible colormap name.
See the list of available colormaps.
trace_kwargs
:dict
- Keyword arguments passed to the
plotly.graph_objects.Indicator
. add_trace_kwargs
:dict
- Keyword arguments passed to
add_trace
. fig
:Figure
orFigureWidget
- Figure to add traces to.
**layout_kwargs
- Keyword arguments for layout.
Usage
>>> import vectorbt as vbt
>>> gauge = vbt.plotting.Gauge(
... value=2,
... value_range=(1, 3),
... label='My Gauge'
... )
>>> gauge.fig
Superclasses
Inherited members
- Configured.config
- Configured.copy()
- Configured.dumps()
- Configured.loads()
- Configured.replace()
- Configured.to_doc()
- Configured.update_config()
- Configured.writeable_attrs
- Pickleable.load()
- Pickleable.save()
- TraceUpdater.fig
- TraceUpdater.traces
- TraceUpdater.update()
cmap_name property¶
A matplotlib-compatible colormap name.
value_range property¶
The value range of the gauge.
Heatmap class¶
Heatmap(
data=None,
x_labels=None,
y_labels=None,
is_x_category=False,
is_y_category=False,
trace_kwargs=None,
add_trace_kwargs=None,
fig=None,
**layout_kwargs
)
Class with an initialization config.
All subclasses of Configured
are initialized using Config
, which makes it easier to pickle.
Settings are defined under configured
in settings.
Warning
If any attribute has been overwritten that isn't listed in Configured.writeable_attrs
, or if any Configured.__init__
argument depends upon global defaults, their values won't be copied over. Make sure to pass them explicitly to make the saved & loaded / copied instance resilient to changes in globals.
Create a heatmap plot.
Args
data
:array_like
-
Data in any format that can be converted to NumPy.
Must be of shape (
y_labels
,x_labels
). x_labels
:array_like
- X-axis labels, corresponding to columns in pandas.
y_labels
:array_like
- Y-axis labels, corresponding to index in pandas.
is_x_category
:bool
- Whether X-axis is a categorical axis.
is_y_category
:bool
- Whether Y-axis is a categorical axis.
trace_kwargs
:dict
- Keyword arguments passed to
plotly.graph_objects.Heatmap
. add_trace_kwargs
:dict
- Keyword arguments passed to
add_trace
. fig
:Figure
orFigureWidget
- Figure to add traces to.
**layout_kwargs
- Keyword arguments for layout.
Usage
>>> import vectorbt as vbt
>>> heatmap = vbt.plotting.Heatmap(
... data=[[1, 2], [3, 4]],
... x_labels=['a', 'b'],
... y_labels=['x', 'y']
... )
>>> heatmap.fig
Superclasses
Inherited members
- Configured.config
- Configured.copy()
- Configured.dumps()
- Configured.loads()
- Configured.replace()
- Configured.to_doc()
- Configured.update_config()
- Configured.writeable_attrs
- Pickleable.load()
- Pickleable.save()
- TraceUpdater.fig
- TraceUpdater.traces
- TraceUpdater.update()
Histogram class¶
Histogram(
data=None,
trace_names=None,
horizontal=False,
remove_nan=True,
from_quantile=None,
to_quantile=None,
trace_kwargs=None,
add_trace_kwargs=None,
fig=None,
**layout_kwargs
)
Class with an initialization config.
All subclasses of Configured
are initialized using Config
, which makes it easier to pickle.
Settings are defined under configured
in settings.
Warning
If any attribute has been overwritten that isn't listed in Configured.writeable_attrs
, or if any Configured.__init__
argument depends upon global defaults, their values won't be copied over. Make sure to pass them explicitly to make the saved & loaded / copied instance resilient to changes in globals.
Create a histogram plot.
Args
data
:array_like
-
Data in any format that can be converted to NumPy.
Must be of shape (any,
trace_names
). trace_names
:str
orlist
ofstr
- Trace names, corresponding to columns in pandas.
horizontal
:bool
- Whether to plot horizontally.
remove_nan
:bool
- Whether to remove NaN values.
from_quantile
:float
-
Filter out data points before this quantile.
Should be in range
[0, 1]
. to_quantile
:float
-
Filter out data points after this quantile.
Should be in range
[0, 1]
. trace_kwargs
:dict
orlist
ofdict
-
Keyword arguments passed to
plotly.graph_objects.Histogram
.Can be specified per trace as a sequence of dicts.
add_trace_kwargs
:dict
- Keyword arguments passed to
add_trace
. fig
:Figure
orFigureWidget
- Figure to add traces to.
**layout_kwargs
- Keyword arguments for layout.
Usage
>>> import vectorbt as vbt
>>> hist = vbt.plotting.Histogram(
... data=[[1, 2], [3, 4], [2, 1]],
... trace_names=['a', 'b']
... )
>>> hist.fig
Superclasses
Inherited members
- Configured.config
- Configured.copy()
- Configured.dumps()
- Configured.loads()
- Configured.replace()
- Configured.to_doc()
- Configured.update_config()
- Configured.writeable_attrs
- Pickleable.load()
- Pickleable.save()
- TraceUpdater.fig
- TraceUpdater.traces
- TraceUpdater.update()
from_quantile property¶
Filter out data points before this quantile.
horizontal property¶
Whether to plot horizontally.
remove_nan property¶
Whether to remove NaN values.
to_quantile property¶
Filter out data points after this quantile.
Scatter class¶
Scatter(
data=None,
trace_names=None,
x_labels=None,
trace_kwargs=None,
add_trace_kwargs=None,
fig=None,
**layout_kwargs
)
Class with an initialization config.
All subclasses of Configured
are initialized using Config
, which makes it easier to pickle.
Settings are defined under configured
in settings.
Warning
If any attribute has been overwritten that isn't listed in Configured.writeable_attrs
, or if any Configured.__init__
argument depends upon global defaults, their values won't be copied over. Make sure to pass them explicitly to make the saved & loaded / copied instance resilient to changes in globals.
Create a scatter plot.
Args
data
:array_like
-
Data in any format that can be converted to NumPy.
Must be of shape (
x_labels
,trace_names
). trace_names
:str
orlist
ofstr
- Trace names, corresponding to columns in pandas.
x_labels
:array_like
- X-axis labels, corresponding to index in pandas.
trace_kwargs
:dict
orlist
ofdict
-
Keyword arguments passed to
plotly.graph_objects.Scatter
.Can be specified per trace as a sequence of dicts.
add_trace_kwargs
:dict
- Keyword arguments passed to
add_trace
. fig
:Figure
orFigureWidget
- Figure to add traces to.
**layout_kwargs
- Keyword arguments for layout.
Usage
>>> import vectorbt as vbt
>>> scatter = vbt.plotting.Scatter(
... data=[[1, 2], [3, 4]],
... trace_names=['a', 'b'],
... x_labels=['x', 'y']
... )
>>> scatter.fig
Superclasses
Inherited members
- Configured.config
- Configured.copy()
- Configured.dumps()
- Configured.loads()
- Configured.replace()
- Configured.to_doc()
- Configured.update_config()
- Configured.writeable_attrs
- Pickleable.load()
- Pickleable.save()
- TraceUpdater.fig
- TraceUpdater.traces
- TraceUpdater.update()
TraceUpdater class¶
TraceUpdater(
fig,
traces
)
Base trace updating class.
Subclasses
fig property¶
Figure.
traces property¶
Traces to update.
update method¶
TraceUpdater.update(
*args,
**kwargs
)
Update the trace data.
Volume class¶
Volume(
data=None,
x_labels=None,
y_labels=None,
z_labels=None,
trace_kwargs=None,
add_trace_kwargs=None,
scene_name='scene',
fig=None,
**layout_kwargs
)
Class with an initialization config.
All subclasses of Configured
are initialized using Config
, which makes it easier to pickle.
Settings are defined under configured
in settings.
Warning
If any attribute has been overwritten that isn't listed in Configured.writeable_attrs
, or if any Configured.__init__
argument depends upon global defaults, their values won't be copied over. Make sure to pass them explicitly to make the saved & loaded / copied instance resilient to changes in globals.
Create a volume plot.
Args
data
:array_like
-
Data in any format that can be converted to NumPy.
Must be a 3-dim array.
x_labels
:array_like
- X-axis labels.
y_labels
:array_like
- Y-axis labels.
z_labels
:array_like
- Z-axis labels.
trace_kwargs
:dict
- Keyword arguments passed to
plotly.graph_objects.Volume
. add_trace_kwargs
:dict
- Keyword arguments passed to
add_trace
. scene_name
:str
- Reference to the 3D scene.
fig
:Figure
orFigureWidget
- Figure to add traces to.
**layout_kwargs
- Keyword arguments for layout.
Note
Figure widgets have currently problems displaying NaNs. Use .show()
method for rendering.
Usage
>>> import vectorbt as vbt
>>> import numpy as np
>>> volume = vbt.plotting.Volume(
... data=np.random.randint(1, 10, size=(3, 3, 3)),
... x_labels=['a', 'b', 'c'],
... y_labels=['d', 'e', 'f'],
... z_labels=['g', 'h', 'i']
... )
>>> volume.fig
Superclasses
Inherited members