fiftyone.core.plots.plotly

module documentation

(source)

Plotly plots.

Class	`InteractiveHeatmap`	An interactive Plotly heatmap.
Class	`InteractiveScatter`	Wrapper class that turns a Plotly figure containing one or more scatter-type traces into an `fiftyone.core.plots.base.InteractivePlot`.
Class	`PlotlyInteractivePlot`	Base class for `fiftyone.core.plots.base.InteractivePlot` instances with Plotly backends.
Class	`PlotlyNotebookPlot`	A wrapper around a Plotly plot for Jupyter notebook contexts that allows it to be replaced with a screenshot by calling `freeze`.
Class	`PlotlyWidgetMixin`	Mixin for Plotly plots that use widgets to display in Jupyter notebooks.
Function	`get_colormap`	Generates a continuous colormap with the specified number of colors from the given plotly colorscale.
Function	`lines`	Plots the given lines(s) data.
Function	`location_scatterplot`	Generates an interactive scatterplot of the given location coordinates with a map rendered in the background of the plot.
Function	`plot_confusion_matrix`	Plots a confusion matrix.
Function	`plot_pr_curve`	Plots a precision-recall (PR) curve.
Function	`plot_pr_curves`	Plots a set of per-class precision-recall (PR) curves.
Function	`plot_regressions`	Plots the given regression results.
Function	`plot_roc_curve`	Plots a receiver operating characteristic (ROC) curve.
Function	`scatterplot`	Generates an interactive scatterplot of the given points.
Variable	`logger`	Undocumented
Function	`_check_plotly_jupyter_environment`	Undocumented
Function	`_compute_zoom_center`	Undocumented
Function	`_get_colorscale`	Undocumented
Function	`_get_continuous_color`	Undocumented
Function	`_get_qualitative_colors`	Undocumented
Function	`_get_qualitative_colorscale`	Undocumented
Function	`_make_edges_scatter`	Undocumented
Function	`_make_edges_scatter_mapbox`	Undocumented
Function	`_parse_titles`	Undocumented
Function	`_patch_perform_plotly_relayout`	Attempts to patch an unresolved issue with zooming/panning FigureWidgets with Mapbox plots.
Function	`_plot_confusion_matrix_interactive`	Undocumented
Function	`_plot_confusion_matrix_static`	Undocumented
Function	`_plot_scatter_categorical`	Undocumented
Function	`_plot_scatter_categorical_single_trace`	Undocumented
Function	`_plot_scatter_mapbox_categorical`	Undocumented
Function	`_plot_scatter_mapbox_categorical_single_trace`	Undocumented
Function	`_plot_scatter_mapbox_density`	Undocumented
Function	`_plot_scatter_mapbox_numeric`	Undocumented
Function	`_plot_scatter_numeric`	Undocumented
Function	`_set_map_type_to_figure`	Undocumented
Function	`_to_log_colorscale`	Undocumented
Constant	`_DEFAULT_CONTINUOUS_COLORSCALE`	Undocumented
Constant	`_DEFAULT_LAYOUT`	Undocumented
Constant	`_DEFAULT_LINE_COLOR`	Undocumented
Constant	`_MAX_LABEL_TRACES`	Undocumented

def get_colormap(colorscale, n=256, hex_strs=False): (source) ¶

Generates a continuous colormap with the specified number of colors from the given plotly colorscale.

The provided colorscale can be any of the following:

The string name of any colorscale recognized by plotly. See https://plotly.com/python/colorscales for possible options

A manually-defined colorscale like the following:

[
    [0.000, "rgb(165,0,38)"],
    [0.111, "rgb(215,48,39)"],
    [0.222, "rgb(244,109,67)"],
    [0.333, "rgb(253,174,97)"],
    [0.444, "rgb(254,224,144)"],
    [0.555, "rgb(224,243,248)"],
    [0.666, "rgb(171,217,233)"],
    [0.777, "rgb(116,173,209)"],
    [0.888, "rgb(69,117,180)"],
    [1.000, "rgb(49,54,149)"],
]

The colorscale will be sampled evenly at the required resolution in order to generate the colormap.

Parameters
colorscale	a valid colorscale. See above for possible options
n:256	the desired number of colors
hex_strs:`False`	whether to return `#RRGGBB` hex strings rather than `(R, G, B)` tuples
Returns
a list of `(R, G, B)` tuples in `[0, 255]`, or, if `hex_strs` is True, a list of `#RRGGBB` strings

def lines(x=None, y=None, samples=None, ids=None, link_field=None, sizes=None, labels=None, colors=None, marker_size=None, figure=None, title=None, xaxis_title=None, yaxis_title=None, sizes_title=None, axis_equal=False, **kwargs): (source) ¶

Plots the given lines(s) data.

You can attach plots generated by this method to an App session via its fiftyone.core.session.Session.plots attribute, which will automatically sync the session's view with the currently selected points in the plot. To enable this functionality, you must pass samples to this method.

You can use the sizes parameter to scale the sizes of the points.

Parameters
x:`None`	the x data to plot. Can be any of the following: an array-like of values a `num_lines x n` array-like or list of length `num_lines` of array-likes of values for multiple line traces the name of a sample field or `embedded.field.name` of `samples` from which to extract values for a single line the name of a frame field or `frames.embedded.field.name` of `samples` from which to extract values for per-sample line traces a `fiftyone.core.expressions.ViewExpression` that resolves to a list (one line plot) or list of lists (multiple line plots) of numeric values to compute from `samples` via `fiftyone.core.collections.SampleCollection.values`
y:`None`	the y data to plot. Can be any of the following: an array-like of values a `num_lines x n` array-like or list of length `num_lines` of array-likes of values for multiple line traces the name of a sample field or `embedded.field.name` of `samples` from which to extract values for a single line the name of a frame field or `frames.embedded.field.name` of `samples` from which to extract values for per-sample line traces a `fiftyone.core.expressions.ViewExpression` that resolves to a list (one line plot) or list of lists (multiple line plots) of numeric values to compute from `samples` via `fiftyone.core.collections.SampleCollection.values`
samples:`None`	the `fiftyone.core.collections.SampleCollection` whose data is being visualized
ids:`None`	an array-like of IDs of same shape as `y`. If not provided but `samples` are provided, the appropriate IDs will be extracted from the samples
link_field:`None`	a field of `samples` whose data corresponds to `y`. Can be any of the following: `None`, if the line data correspond to samples (single trace) or frames (multiple traces) `"frames"`, if the line data correspond to frames (multiple traces). This option exists only for consistency with other plotting methods; in practice, it will be automatically inferred whenever multiple traces are being plotted the name of a `fiftyone.core.labels.Label` field, if the line data correspond to the labels in this field
sizes:`None`	data to use to scale the sizes of the points. Can be any of the following: an array-like of numeric values of same shape as `y` the name of a sample field (single trace) or frame field (multiple traces) from which to extract numeric values a `fiftyone.core.expressions.ViewExpression` defining sample-level (single trace) or frame-level (multiple traces) numeric values to compute from `samples` via `fiftyone.core.collections.SampleCollection.values`
labels:`None`	a name or list of names for the line traces
colors:`None`	a list of colors to use for the line traces. See https://plotly.com/python/colorscales for options
marker_size:`None`	the marker size to use. If `sizes` are provided, this value is used as a reference to scale the sizes of all points
figure:`None`	a `plotly:plotly.graph_objects.Figure` to which to add the plot
title:`None`	a title for the plot
xaxis_title:`None`	an x-axis title
yaxis_title:`None`	a y-axis title
sizes_title:`None`	a title string to use for `sizes` in the tooltip. By default, if `sizes` is a field name, this name will be used, otherwise the tooltip will use "size"
axis_equal:`False`	whether to set the axes to equal scale
**kwargs	optional keyword arguments for `plotly:plotly.graph_objects.Figure.update_layout`
Returns
one of the following an `InteractiveScatter`, when IDs are available a `PlotlyNotebookPlot`, if you're working in a Jupyter notebook but the above conditions aren't met a plotly figure, otherwise

def location_scatterplot(locations=None, samples=None, ids=None, labels=None, sizes=None, edges=None, classes=None, style=None, radius=None, figure=None, multi_trace=None, marker_size=None, colorscale=None, log_colorscale=False, title=None, trace_title=None, labels_title=None, sizes_title=None, edges_title=None, show_colorbar_title=None, map_type='roadmap', **kwargs): (source) ¶

Generates an interactive scatterplot of the given location coordinates with a map rendered in the background of the plot.

Location data is specified via the locations parameter.

You can use the labels parameters to define a coloring for the points, and you can use the sizes parameter to scale the sizes of the points.

Parameters
locations:`None`	the location data to plot. Can be any of the following: None, in which case `samples` must have a single `fiftyone.core.labels.GeoLocation` field whose `point` attribute contains location data a `num_locations x 2` array-like of `(longitude, latitude)` coordinates the name of a `fiftyone.core.labels.GeoLocation` field of `samples` with `(longitude, latitude)` coordinates in its `point` attribute
samples:`None`	the `fiftyone.core.collections.SampleCollection` whose data is being visualized
ids:`None`	an array-like of IDs corresponding to the locations. If not provided but `samples` are provided, the appropriate IDs will be extracted from the samples
labels:`None`	data to use to color the points. Can be any of the following: the name of a sample field or `embedded.field.name` of `samples` from which to extract numeric or string values a `fiftyone.core.expressions.ViewExpression` defining numeric or string values to compute from `samples` via `fiftyone.core.collections.SampleCollection.values` an array-like of numeric or string values
sizes:`None`	data to use to scale the sizes of the points. Can be any of the following: the name of a sample field or `embedded.field.name` of `samples` from which to extract numeric values a `fiftyone.core.expressions.ViewExpression` defining numeric values to compute from `samples` via `fiftyone.core.collections.SampleCollection.values` an array-like of numeric values
edges:`None`	a `num_edges x 2` array-like of row indices into `locations` defining undirected edges between points to render as a separate trace on the scatterplot
classes:`None`	a list of classes whose points to plot. Only applicable when `labels` contains strings. If provided, the element order of this list also controls the z-order and legend order of multitrace plots (first class is rendered first, and thus on the bottom, and appears first in the legend)
style:`None`	the plot style to use. Only applicable when the color data is numeric. Supported values are `("scatter", "density")`
radius:`None`	the radius of influence of each lat/lon point. Only applicable when `style` is "density". Larger values will make density plots smoother and less detailed
figure:`None`	a `plotly:plotly.graph_objects.Figure` to which to add the plot
multi_trace:`None`	whether to render each class as a separate trace. Only applicable when `labels` contains strings. By default, this will be true if there are up to 25 classes
marker_size:`None`	the marker size to use. If `sizes` are provided, this value is used as a reference to scale the sizes of all points
colorscale:`None`	a plotly colorscale to use. Only applicable when `labels` contains numeric data. See https://plotly.com/python/colorscales for options
log_colorscale:`False`	whether to apply the colorscale on a log scale. This is useful to better visualize variations in smaller values when large values are also present
title:`None`	a title for the plot
trace_title:`None`	a name for the scatter trace. Only applicable when plotting a single trace
labels_title:`None`	a title string to use for `labels` in the tooltip and the colorbar title. By default, if `labels` is a field name, this name will be used, otherwise the colorbar will not have a title and the tooltip will use "label"
sizes_title:`None`	a title string to use for `sizes` in the tooltip. By default, if `sizes` is a field name, this name will be used, otherwise the tooltip will use "size"
edges_title:`None`	a title string to use for `edges` in the legend. If none is provided, edges are not included in the legend
show_colorbar_title:`None`	whether to show the colorbar title. By default, a title will be shown only if a value was passed to `labels_title` or an appropriate default can be inferred from the `labels` parameter
map_type:"satellite"	the map type to render. Supported values are `("roadmap", "satellite")`
**kwargs	optional keyword arguments for `plotly:plotly.graph_objects.Figure.update_layout`
Returns
one of the following an `InteractiveScatter`, if IDs are available a `PlotlyNotebookPlot`, if IDs are not available but you're working in a Jupyter notebook a plotly figure, otherwise

def plot_confusion_matrix(confusion_matrix, labels, ids=None, samples=None, eval_key=None, gt_field=None, pred_field=None, colorscale='oranges', log_colorscale=False, title=None, **kwargs): (source) ¶

Plots a confusion matrix.

If ids are provided, this method returns a InteractiveHeatmap that you can attach to an App session via its fiftyone.core.session.Session.plots attribute, which will automatically sync the session's view with the currently selected cells in the confusion matrix.

Parameters
confusion_matrix	a `num_true x num_preds` confusion matrix
labels	a `max(num_true, num_preds)` array-like of class labels
ids:`None`	an array-like of same shape as `confusion_matrix` whose elements are array-likes of label IDs corresponding to each cell
samples:`None`	the `fiftyone.core.collections.SampleCollection` for which the confusion matrix was generated. Only used when `ids` are also provided to update an attached session
eval_key:`None`	the evaluation key of the evaluation
gt_field:`None`	the name of the ground truth field
pred_field:`None`	the name of the predictions field
colorscale:"oranges"	a plotly colorscale to use. See https://plotly.com/python/colorscales for options
log_colorscale:`False`	whether to apply the colorscale on a log scale. This is useful to better visualize variations in smaller values when large values are also present
title:`None`	a title for the plot
**kwargs	optional keyword arguments for `plotly:plotly.graph_objects.Figure.update_layout`
Returns
one of the following a `InteractiveHeatmap`, if `ids` are provided a `PlotlyNotebookPlot`, if no `ids` are provided and you are working in a Jupyter notebook a plotly figure, otherwise

def plot_pr_curve(precision, recall, thresholds=None, label=None, style='area', figure=None, title=None, **kwargs): (source) ¶

Plots a precision-recall (PR) curve.

Parameters
precision	an array-like of precision values
recall	an array-like of recall values
thresholds:`None`	an array-like of decision thresholds
label:`None`	a label for the curve
style:"area"	a plot style to use. Supported values are `("area", "line")`
figure:`None`	a `plotly:plotly.graph_objects.Figure` to which to add the plot
title:`None`	a title for the plot
**kwargs	optional keyword arguments for `plotly:plotly.graph_objects.Figure.update_layout`
Returns
one of the following a `PlotlyNotebookPlot`, if you are working in a Jupyter notebook a plotly figure, otherwise

def plot_pr_curves(precisions, recall, classes, thresholds=None, figure=None, title=None, **kwargs): (source) ¶

Plots a set of per-class precision-recall (PR) curves.

Parameters
precisions	a `num_classes x num_recalls` array-like of per-class precision values
recall	an array-like of recall values
classes	the list of classes
thresholds:`None`	a `num_classes x num_recalls` array-like of decision thresholds
figure:`None`	a `plotly:plotly.graph_objects.Figure` to which to add the plots
title:`None`	a title for the plot
**kwargs	optional keyword arguments for `plotly:plotly.graph_objects.Figure.update_layout`
Returns
one of the following a `PlotlyNotebookPlot`, if you are working in a Jupyter notebook a plotly figure, otherwise

def plot_regressions(ytrue, ypred, samples=None, ids=None, labels=None, sizes=None, classes=None, gt_field=None, pred_field=None, figure=None, best_fit_label=None, marker_size=None, title=None, labels_title=None, sizes_title=None, show_colorbar_title=None, **kwargs): (source) ¶

Plots the given regression results.

If IDs are provided and you are working in a notebook environment with the default plotly backend, this method returns an InteractiveScatter plot that you can attach to an App session via its fiftyone.core.session.Session.plots attribute, which will automatically sync the session's view with the currently selected points in the plot.

Parameters
ytrue	an array-like of ground truth values
ypred	an array-like of predicted values
samples:`None`	the `fiftyone.core.collections.SampleCollection` for which the results were generated. Only used by the "plotly" backend when IDs are provided
ids:`None`	an array-like of IDs corresponding to the regressions
labels:`None`	data to use to color the points. Can be any of the following: the name of a sample field or `embedded.field.name` of `samples` from which to extract numeric or string values a `fiftyone.core.expressions.ViewExpression` defining numeric or string values to compute from `samples` via `fiftyone.core.collections.SampleCollection.values` an array-like of numeric or string values a list of array-likes of numeric or string values, if `link_field` refers to frames
sizes:`None`	data to use to scale the sizes of the points. Can be any of the following: the name of a sample field or `embedded.field.name` of `samples` from which to extract numeric values a `fiftyone.core.expressions.ViewExpression` defining numeric values to compute from `samples` via `fiftyone.core.collections.SampleCollection.values` an array-like of numeric values a list of array-likes of numeric or string values, if `link_field` refers to frames
classes:`None`	a list of classes whose points to plot. Only applicable when `labels` contains strings. If provided, the element order of this list also controls the z-order and legend order of multitrace plots (first class is rendered first, and thus on the bottom, and appears first in the legend)
gt_field:`None`	the name of the ground truth field
pred_field:`None`	the name of the predictions field
figure:`None`	a `plotly:plotly.graph_objects.Figure` to which to add the plot
best_fit_label:`None`	a custom legend label for the best fit line
marker_size:`None`	the marker size to use. If `sizes` are provided, this value is used as a reference to scale the sizes of all points
title:`None`	a title for the plot
labels_title:`None`	a title string to use for `labels` in the tooltip and the colorbar title. By default, if `labels` is a field name, this name will be used, otherwise the colorbar will not have a title and the tooltip will use "label"
sizes_title:`None`	a title string to use for `sizes` in the tooltip. By default, if `sizes` is a field name, this name will be used, otherwise the tooltip will use "size"
show_colorbar_title:`None`	whether to show the colorbar title. By default, a title will be shown only if a value was passed to `labels_title` or an appropriate default can be inferred from the `labels` parameter
**kwargs	optional keyword arguments for `plotly:plotly.graph_objects.Figure.update_layout`
Returns
one of the following a `InteractiveScatter`, if IDs are provided a `PlotlyNotebookPlot`, if no IDs are provided but you are working in a Jupyter notebook a plotly figure, otherwise

def plot_roc_curve(fpr, tpr, thresholds=None, roc_auc=None, style='area', figure=None, title=None, **kwargs): (source) ¶

Plots a receiver operating characteristic (ROC) curve.

Parameters
fpr	an array-like of false positive rates
tpr	an array-like of true positive rates
thresholds:`None`	an array-like of decision thresholds
roc_auc:`None`	the area under the ROC curve
style:"area"	a plot style to use. Supported values are `("area", "line")`
figure:`None`	a `plotly:plotly.graph_objects.Figure` to which to add the plot
title:`None`	a title for the plot
**kwargs	optional keyword arguments for `plotly:plotly.graph_objects.Figure.update_layout`
Returns
one of the following a `PlotlyNotebookPlot`, if you are working in a Jupyter notebook a plotly figure, otherwise

def scatterplot(points, samples=None, ids=None, link_field=None, labels=None, sizes=None, edges=None, classes=None, figure=None, multi_trace=None, marker_size=None, colorscale=None, log_colorscale=False, title=None, trace_title=None, labels_title=None, sizes_title=None, edges_title=None, show_colorbar_title=None, axis_equal=False, **kwargs): (source) ¶

Generates an interactive scatterplot of the given points.

This method supports 2D or 3D visualizations, but interactive point selection is only available in 2D.

You can use the labels parameters to define a coloring for the points, and you can use the sizes parameter to scale the sizes of the points.

Parameters
points	a `num_points x num_dims` array-like of points
samples:`None`	the `fiftyone.core.collections.SampleCollection` whose data is being visualized
ids:`None`	an array-like of IDs corresponding to the points. If not provided but `samples` are provided, the appropriate IDs will be extracted from the samples
link_field:`None`	a field of `samples` whose data corresponds to `points`. Can be any of the following: None, if the points correspond to samples `"frames"`, if the points correspond to frames the name of a `fiftyone.core.labels.Label` field, if the points correspond to the labels in this field
labels:`None`	data to use to color the points. Can be any of the following: the name of a sample field or `embedded.field.name` of `samples` from which to extract numeric or string values a `fiftyone.core.expressions.ViewExpression` defining numeric or string values to compute from `samples` via `fiftyone.core.collections.SampleCollection.values` an array-like of numeric or string values a list of array-likes of numeric or string values, if `link_field` refers to frames and/or a label list field like `fiftyone.core.labels.Detections`
sizes:`None`	data to use to scale the sizes of the points. Can be any of the following: the name of a sample field or `embedded.field.name` of `samples` from which to extract numeric values a `fiftyone.core.expressions.ViewExpression` defining numeric values to compute from `samples` via `fiftyone.core.collections.SampleCollection.values` an array-like of numeric values a list of array-likes of numeric or string values, if `link_field` refers to frames and/or a label list field like `fiftyone.core.labels.Detections`
edges:`None`	a `num_edges x 2` array of row indices into `points` defining undirected edges between points to render as a separate trace on the scatterplot
classes:`None`	a list of classes whose points to plot. Only applicable when `labels` contains strings. If provided, the element order of this list also controls the z-order and legend order of multitrace plots (first class is rendered first, and thus on the bottom, and appears first in the legend)
figure:`None`	a `plotly:plotly.graph_objects.Figure` to which to add the plot
multi_trace:`None`	whether to render each class as a separate trace. Only applicable when `labels` contains strings. By default, this will be true if there are up to 25 classes
marker_size:`None`	the marker size to use. If `sizes` are provided, this value is used as a reference to scale the sizes of all points
colorscale:`None`	a plotly colorscale to use. Only applicable when `labels` contains numeric data. See https://plotly.com/python/colorscales for options
log_colorscale:`False`	whether to apply the colorscale on a log scale. This is useful to better visualize variations in smaller values when large values are also present
title:`None`	a title for the plot
trace_title:`None`	a name for the scatter trace. Only applicable when plotting a single trace
labels_title:`None`	a title string to use for `labels` in the tooltip and the colorbar title. By default, if `labels` is a field name, this name will be used, otherwise the colorbar will not have a title and the tooltip will use "label"
sizes_title:`None`	a title string to use for `sizes` in the tooltip. By default, if `sizes` is a field name, this name will be used, otherwise the tooltip will use "size"
edges_title:`None`	a title string to use for `edges` in the legend. If none is provided, edges are not included in the legend
show_colorbar_title:`None`	whether to show the colorbar title. By default, a title will be shown only if a value was passed to `labels_title` or an appropriate default can be inferred from the `labels` parameter
axis_equal:`False`	whether to set the axes to equal scale
**kwargs	optional keyword arguments for `plotly:plotly.graph_objects.Figure.update_layout`
Returns
one of the following an `InteractiveScatter`, for 2D points and when IDs are available a `PlotlyNotebookPlot`, if you're working in a Jupyter notebook but the above conditions aren't met a plotly figure, otherwise

logger = (source) ¶

Undocumented

def _check_plotly_jupyter_environment(): (source) ¶

Undocumented

def _compute_zoom_center(coords, pad=0.2, aspect_ratio=2.0): (source) ¶

Undocumented

def _get_colorscale(name): (source) ¶

Undocumented

def _get_continuous_color(colorscale, value): (source) ¶

Undocumented

def _get_qualitative_colors(num_classes, colors=None): (source) ¶

Undocumented

def _get_qualitative_colorscale(num_classes, colors=None): (source) ¶

Undocumented

def _make_edges_scatter(points, edges, edges_title): (source) ¶

Undocumented

def _make_edges_scatter_mapbox(coords, edges, edges_title): (source) ¶

Undocumented

def _parse_titles(labels, labels_title, sizes, sizes_title, show_colorbar_title): (source) ¶

Undocumented

def _patch_perform_plotly_relayout(): (source) ¶

Attempts to patch an unresolved issue with zooming/panning FigureWidgets with Mapbox plots.

https://github.com/plotly/plotly.py/issues/2570

def _plot_confusion_matrix_interactive(confusion_matrix, labels, ids, samples=None, eval_key=None, gt_field=None, pred_field=None, colorscale=None, title=None, **kwargs): (source) ¶

Undocumented

def _plot_confusion_matrix_static(confusion_matrix, labels, colorscale=None, title=None, gt_field=None, pred_field=None, **kwargs): (source) ¶

Undocumented

def _plot_scatter_categorical(points, labels, classes, sizes, edges, ids, figure, marker_size, labels_title, sizes_title, edges_title, colorbar_title, axis_equal, colors=None): (source) ¶

Undocumented

def _plot_scatter_categorical_single_trace(points, labels, classes, sizes, edges, ids, figure, marker_size, trace_title, labels_title, sizes_title, edges_title, colorbar_title, axis_equal, colors=None): (source) ¶

Undocumented

def _plot_scatter_mapbox_categorical(coords, labels, classes, sizes, edges, ids, figure, marker_size, labels_title, sizes_title, edges_title, colorbar_title, colors=None): (source) ¶

Undocumented

def _plot_scatter_mapbox_categorical_single_trace(coords, labels, classes, sizes, edges, ids, figure, marker_size, trace_title, labels_title, sizes_title, edges_title, colorbar_title, colors=None): (source) ¶

Undocumented

def _plot_scatter_mapbox_density(coords, values, sizes, ids, figure, radius, colorscale, log_colorscale, trace_title, labels_title, sizes_title, colorbar_title): (source) ¶

Undocumented

def _plot_scatter_mapbox_numeric(coords, values, sizes, edges, ids, figure, marker_size, colorscale, log_colorscale, trace_title, labels_title, sizes_title, edges_title, colorbar_title): (source) ¶

Undocumented

def _plot_scatter_numeric(points, values, sizes, edges, ids, figure, marker_size, colorscale, log_colorscale, trace_title, labels_title, sizes_title, edges_title, colorbar_title, axis_equal): (source) ¶

Undocumented

def _set_map_type_to_figure(figure, map_type): (source) ¶

Undocumented

def _to_log_colorscale(colorscale, maxval): (source) ¶

Undocumented

_DEFAULT_CONTINUOUS_COLORSCALE: str = (source) ¶

Undocumented

Value

'viridis'

_DEFAULT_LAYOUT = (source) ¶

Undocumented

Value

dict(template='ggplot2', margin={'r': 0, 't': 30, 'l': 0, 'b': 0})

_DEFAULT_LINE_COLOR: str = (source) ¶

Undocumented

Value

'#FF6D04'

_MAX_LABEL_TRACES: int = (source) ¶

Undocumented

Value