Bokeh span

Bokeh span

Bokeh span
Bokeh comes with a number of interactive tools that can be used to report information, to change plot parameters such as zoom level or range extents, or to add, edit, or delete glyphs. Tools can be grouped into four basic categories:. These are tools that respond to single gestures, such as a pan movement. The types of gesture tools are:. For each type of gesture, one tool can be active at any given time, and the active tool is indicated on the toolbar by a highlight next to to the tool icon. These are immediate or modal operations that are only activated when their button in the toolbar is pressed, such as the ResetTool. These are passive tools that report information or annotate plots in some way, such as the HoverTool or CrosshairTool. These are sophisticated multi-gesture tools that can add, delete, or modify glyphs on a plot. Since they may respond to several gestures at once, an edit tool will potentially deactivate multiple single-gesture tools at once when it is activated. In addition to information about all the individual tools, this chapter describes how the toolbar may be configured. By default, Bokeh plots come with a toolbar above the plot. In this section you will learn how to specify a different location for the toolbar, or to remove it entirely. Valid values are:. If you would like to hide the toolbar entirely, pass None. Below is some code that positions the toolbar below the plot. At the lowest bokeh. This explicit way of adding tools works with any Bokeh Plot or Plot subclass, such as Figure. Tools can be specified by passing the tools parameter to the figure function. The tools parameter accepts a list of tool objects, for instance:. Tools can also be supplied conveniently with a comma-separate string containing tool shortcut names:. This can also be done in conjunction with the tools keyword described above:. Bokeh toolbars can have at most one active tool from each kind of gesture drag, scroll, tap. By default, Bokeh will use a default pre-defined order of preference to choose one of each kind from the set of configured tools, to be active. However it is possible to exert control over which tool is active. These properties can take the following values:. None — there is no active tool of this kind. The default value for all of these properties is "auto". Active tools can be specified by passing the these properties as keyword arguments to the figure function. It is also possible to pass any one of the string names for, ease of configuration:. These tools are employed by panning on touch devices or left-dragging on mouse devices. The box selection tool allows the user to define a rectangular selection region by left-dragging a mouse, or dragging a finger across the plot area. The box select tool may be configured to select across only one dimension by setting the dimensions property to width or height instead of the default both. After a selection is made, the indices of the selected points are available from properties on the Selection object for a glyph data source. For example:. The box zoom tool allows the user to define a rectangular region to zoom the plot bounds too, by left-dragging a mouse, or dragging a finger across the plot area. The lasso selection tool allows the user to define an arbitrary region for selection by left-dragging a mouse, or dragging a finger across the plot area. The pan tool allows the user to pan the plot by left-dragging a mouse or dragging a finger across the plot region. It is also possible to constrain the pan tool to only act on either just the x-axis or just the y-axis by setting the dimensions property to a list containing width or height. Additionally, there are tool aliases 'xpan' and 'ypan'respectively.

Bokeh span name

GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Already on GitHub? Sign in to your account. The Label text annotation currently has a very useful corresponding LabelSet companion that allows to define a ColumnDataFrame as source for the text boxes. It would be helpful to have an equivalent SpanSet object to draw multiple spans from a ColumnDataFrame. Currently, to arrive at the same result one has to hack one's way using ray objects bound to a data frame. This seems reasonable. Checking, do you have the ability and interest to work this up in a PR? The LabelSet code should be a fairly reasonable comparison and we are happy to answey any dev-related questions. Sorry for the delay. Interest, certainly; ability, not sure. This would certainly be a first. It might take some time until I get my bearings. The PR would need also need a basic "test the default values" test like this:. I'm happy to advise or help contribute on any or all of those including the docs which is just a line to add things to the refguide and a small section in the users guide. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up. New issue. Jump to bottom. Labels tag: component: bokehjs type: feature. Milestone short-term. Copy link Quote reply. This is not a bug but rather a feature request. Current way: rays used as spans, y is a large negative number for vertical spans p. This comment has been minimized. Sign in to view. Is there anything else apart from the docs? Any update on this? Would be quite helpful to me. SpanSet Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment. Linked pull requests. You signed in with another tab or window. Reload to refresh your session.

Bokeh legend

By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. How can I add a label to a span annotations within Bokeh? So far, I've seen labels by themselves, is there a better way to tie the labels to the spans? It could also be in plot coords, just don't pass the screen argument. Label docs. Span docs. Learn more. Adding a Label to a Span in Bokeh 0. Asked 3 years, 9 months ago. Active 3 years, 8 months ago. Viewed 3k times. DBids DBids 21 1 1 silver badge 7 7 bronze badges. Active Oldest Votes. If you want a label attached to Span, you just need to set the location to be the same. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name.

Bokeh legend location

GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Already on GitHub? Sign in to your account. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up. New issue. Conversation 1 Commits 1 Checks 0 Files changed. Copy link Quote reply. This comment has been minimized. Sign in to view. Hide details View details jbednar merged commit 01c66c6 into master Sep 23, 4 checks passed. Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment. Linked issues. Add this suggestion to a batch that can be applied as a single commit. This suggestion is invalid because no changes were made to the code. Suggestions cannot be applied while the pull request is closed. Suggestions cannot be applied while viewing a subset of changes.

Bokeh line

Bases: bokeh. This is an abstract base class used to help organize the hierarchy of Bokeh model types. It is not useful to instantiate on its own. A mapping of event names to lists of CustomJS callbacks. Typically, rather then modifying this property directly, callbacks should be added using the Model. A mapping of attribute names to lists of CustomJS callbacks, to be set up on BokehJS side when the document is created. No uniqueness guarantees or other conditions are enforced on any names that are provided, nor is the name used directly by Bokeh for any reason. List of events that are subscribed to by Python callbacks. This is the set of events that will be communicated from BokehJS back to Python for this model. Or simply a convenient way to attach any necessary metadata to a model that can be accessed by CustomJS callbacks, etc. No uniqueness guarantees or other conditions are enforced on any tags that are provided, nor are the tags used directly by Bokeh for any reason. Apply a set of theme values which will be used rather than defaults, but will not override application-set values. The passed-in dictionary may be kept around as-is and shared with other instances to save memory so neither the caller nor the HasProps instance should modify it. Collect the names of all DataSpec properties on this class. This method always traverses the class hierarchy and includes properties defined on any parent classes. Collect a dict mapping the names of all DataSpec properties on this class to the associated properties. This is a convenience method that simplifies adding a CustomJS callback to update one Bokeh model property whenever another changes value. ValueError —. As a convenience, if the event name passed to this method is also the name of a property on the model, then it will be prefixed with "change:" automatically:. However, there are other kinds of events that can be useful to respond to, in addition to property change events. For example to run a callback whenever data is streamed to a ColumnDataSourceuse the "stream" event on the source:. Find the PropertyDescriptor for a Bokeh property on a class, given the property name. Add a callback on this object to trigger when attr changes.

Bokeh legend_label

Bokeh span
Bokeh includes several different types of annotations to allow users to add supplemental information to their visualizations. Title annotations allow descriptive text to be rendered around the edges of a plot. When using bokeh. Chartsthe quickest way to add a basic title is to pass the text as the title parameter to Figure or any Chart function:. The default title is normally on the top of a plot, aligned to the left. The default Title is accessible through the Plot. Visual properties for font, border, background, and others can be set directly on. Here is an example that sets font and background properties as well as the title text and title alignment using. Note that the alignment is measured along the direction of text. If the plot size is large enough, this can result in a more compact plot. However if the plot size is not large enough, the title and toolbar may visually overlap in way that is not desirable. It is possible to create Legend annotations easily by specifying legend arguments to the glyph methods, when creating a plot. If multiple glyphs are given the same label, they will all be combined in to a single legend item with that label. It is often desirable to generate multiple legend items by grouping the values in a data source column. When this method is used, the grouping is performed immediately in Python, and subsequent Python code will be able to see the individual legend items in Legend. If desired, these items can be re-arranged or modified. To use this feature, a source argument must also be provided to the glyph method. Additionally, the column to be grouped must already be present in the data source at that point. It is also possible to specify that the grouping should happen on the JavaScript side, in the browser. This may be desirable, e. In this case the Python code does not see multiple items in Legend. Instead there is only a single item that represents the grouping to perform in the browser. It is also possible to not specify any of the legend arguments, and manually build a Legend by hand. Other times, it may be useful to explicitly tell Bokeh which index into a ColumnDataSource should be used when drawing a legend item. This is accomplished by specifying an index for the legend item as shown below. Legends that are created by specifying a column to automatically group do no yet support interactive features. A ColorBar can be created using a ColorMapper instance, which contains a color palette. Both on- and off-plot color bars are supported; the desired location can be specified when adding the ColorBar to the plot.

Bokeh legenditem

GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Already on GitHub? Sign in to your account. When updating an existing Span line annotation it is rendered again and again without deleting the old line. Here is an example that reproduces the issue adapted from this example in the documentation :. That could be responsible for this. Span in canvas mode doesn't request render of the plot, so it doesn't remove previously painted stuff. Easiest solution is probably a branch here:. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up. New issue. Jump to bottom. Labels reso: completed tag: component: bokehjs type: bug. Milestone 0. Copy link Quote reply. Here is an example that reproduces the issue adapted from this example in the documentation : from datetime import datetime as dt from bokeh. This comment has been minimized. Sign in to view. BoxAnnotation does not update consistently Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment. Linked pull requests. You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window.

Bokeh multi_line legend

Bokeh span
Bokeh includes several different types of annotations to allow users to add supplemental information to their visualizations. Title annotations allow descriptive text to be rendered around the edges of a plot. When using bokeh. Chartsthe quickest way to add a basic title is to pass the text as the title parameter to Figure or any Chart function:. The default title is normally on the top of a plot, aligned to the left. The default Title is accessible through the Plot. Visual properties for font, border, background, and others can be set directly on. Here is an example that sets font and background properties as well as the title text and title alignment using. Note that the alignment is measured along the direction of text. If the plot size is large enough, this can result in a more compact plot. However if the plot size is not large enough, the title and toolbar may visually overlap in way that is not desirable. It is possible to create Legend annotations easily by specifying a legend argument to the glyph methods, when creating a plot. This example depends on the open source NumPy library in order to more easily generate better data suitable for demonstrating legends. It is also possible to create multiple legend items for the same glyph when if needed by passing a legend that is the column of the column data source. If you do not want this automatic behavior, you can use the field or value functions from bokeh. Alternatively, you can not specify any legend argument, and manually build a Legend by hand. Other times, it may be useful to explicitly tell Bokeh which index into a ColumnDataSource should be used when drawing a legend item. This is accomplished by specifying an index for the legend item as shown below. Legends that are created by specifying a column to automatically group do no yet support interactive features. A ColorBar can be created using a ColorMapper instance, which contains a color palette. Both on- and off-plot color bars are supported; the desired location can be specified when adding the ColorBar to the plot. Arrow annotations can be used to connect glyphs and label annotations or to simply highlight plot regions. Arrows are compound annotations, meaning that their start and end attributes are themselves other ArrowHead annotations. By default, the Arrow annotation is one-sided with the end set as an OpenHead -type arrow head an open-backed wedge style and the start property set to None.

Bokeh vertical line

GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Already on GitHub? Sign in to your account. The code above illustrates the problem. Adding spans works well, but uncommenting the code that adds a label breaks the streaming and appears to interfere with the ColumnDataSource. I assume this is not the desired behaviour. The streaming plot is monitoring a instrument and the spans indicate changes in the instrument state. The label would indicate the new state, and ideally it would have a y coordinate in screen units. Python version : 3. Thanks for the complete report baldr1k Definitely a bug, I don't think it has anything to do with the data source, offhand. Seems to be interfering with the auto-ranging. OK, more information. It's nothing to do with Label in particular. In fact, leave in the label and comment out the span instead, and you can see that that configuration works fine as well. It has something to do with server synchronization, and adding two different things in quick succession it seems. This functions as expected:. However, I should also say, that adding spans and layouts in this way will also accumulate them infinitely. The rollover size for column data source streaming only applies to column lengths, and nothing else i. For labeling points you might look at LabelSet which can be hooked up to a column data source, so that streaming rollovers will have an effect. There's currently no SpanSet though you could make a feature request. I'd actually prefer a segment that has a fixed screen y location just above the x-axis, I could not make that work. Is there a way to do that? The reason I thought the datasource was being interfered with, is because if you run the example code with both span and label then stop the server, all the spans are there but not the data points, the server update appears to clear the datasource. I've noticed that with a few other things as well, I did try a Label set at first for the labels but found that its datasource got cleared each non simultaneous update. As an update, I used the the similtaneous addition that brydev suggested, but then the problem is that I need to simultaneously add and remove the spans and labels. For now I think you are best off not using Spanunfortunately. I am thinking of looking into SpanSet similar to LabelSet which would be data-driven, but it's a few places down my todo list. I am closing this as completed, please re-open if you are continuing to experience problems with 0. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up. New issue. Jump to bottom. Labels reso: completed tag: component: bokehjs type: bug. Milestone 0. Copy link Quote reply. Hi, I am having trouble with adding label annotations to a bokeh server streaming plot. Using Python to Span the Gap Between Education, Research, and Industry Applications in Geophysics -

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