Release Notes#
Version 4.3.0 (unreleased)#
Update Vega-Lite from version 4.17.0 to version 5.2.0; see Vega-Lite Release Notes.
Enhancements#
As described in the release notes for Vega-Lite 5.0.0, the primary change in this release of Altair is the introduction of parameters. There are two types of parameters, selection parameters and variable parameters. Variable parameters are new to Altair, and while selections are not new, much of the old terminology has been deprecated. See Slider Cutoff for an application of variable parameters.
Grammar Changes#
selection_single
andselection_multi
are now deprecated; useselection_point
instead. Similarly,type=point
should be used instead oftype=single
andtype=multi
.add_selection
is deprecated; useadd_parameter
instead.The
selection
keyword argument must in many cases be replaced byparam
(e.g., when specifying a filter transform).The
empty
keyword argument for a selection parameter should be specified asTrue
orFalse
instead ofall
ornone
, respectively.The
init
keyword argument for a parameter is deprecated; usevalue
instead.
Bug Fixes#
Backward-Incompatible Changes#
In regards to the grammar changes listed above, the old terminology will still work in many basic cases. On the other hand, if that old terminology gets used at a lower level, then it most likely will not work. For example, in the current version of Scatter Plot with Minimap, two instances of the key
param
are used in dictionaries to specify axis domains. Those used to beselection
, but that usage is not compatible with the current Vega-Lite schema.
Version 4.2.0 (released Dec 29, 2021)#
Update Vega-Lite from version 4.8.1 to version 4.17.0; see Vega-Lite Release Notes.
Enhancements#
Pie charts are now supported through the use of
mark_arc
. (Examples: eg. Pie Chart and Radial Chart.)Support for the
datum
encoding specifications from Vega-Lite; see Vega-Lite Datum Definition. (Examples: Line Chart with datum and Line Chart with datum for color.)angle
encoding can now be used to control point styles (Example: Wind Vector Map)Support for serialising pandas nullable data types for float data (#2399).
Automatically create an empty data object when
Chart
is called without a data parameter (#2515).Allow the use of pathlib Paths when saving charts (#2355).
Support deepcopy for charts (#2403).
Bug Fixes#
Fix
to_dict()
for nested selections (#2120).Fix item access for expressions (#2099).
Version 4.1.0 (released April 1, 2020)#
Minimum Python version is now 3.6
Update Vega-Lite to version 4.8.1; many new features and bug fixes from Vega-Lite versions 4.1 through 4.8; see Vega-Lite Release Notes.
Enhancements#
strokeDash
encoding can now be used to control line styles (Example: Multi Series Line Chart)chart.save()
now relies on altair_saver for more flexibility (#1943).New
chart.show()
method replaceschart.serve()
, and relies on altair_viewer to allow offline viewing of charts (#1988).
Bug Fixes#
Support Python 3.8 (#1958)
Support multiple views in JupyterLab (#1986)
Support numpy types within specifications (#1914)
Support pandas nullable ints and string types (#1924)
Maintenance#
Version 4.0.1 (released Jan 14, 2020)#
Bug Fixes#
Update Vega-Lite version to 4.0.2
Fix issue with duplicate chart divs in HTML renderer (#1888)
Version 4.0.0 (released Dec 10, 2019)#
Version 4.0.0 is based on Vega-Lite version 4.0, which you can read about at https://github.com/vega/vega-lite/releases/tag/v4.0.0.
It is the first version of Altair to drop Python 2 compatibility, and is tested on Python 3.5 and newer.
Enhancements#
Support for interactive legends: (see Interactive Legend)
Responsive chart width and height: (see Adjusting Chart Size)
Lookup transform responsive to selections: (see Lookup Transform)
Bins responsive to selections: (see Histogram with Responsive Bins)
New Regression transform: (see Regression Transform)
New LOESS transform: (see LOESS Transform)
New density transform: (see Density Transform)
New pivot transform: (see Pivot Transform)
Image mark (see Image Mark)
New default
html
renderer, directly compatible with Jupyter Notebook and JupyterLab without the need for frontend extensions, as well as tools like nbviewer and nbconvert, and related notebook environments such as Zeppelin, Colab, Kaggle Kernels, and DataBricks. To enable the old default renderer, use:alt.renderers.enable('mimetype')
Support per-corner radius for bar marks: (see Bar Chart with rounded edges)
Grammar Changes#
Sort-by-field can now use the field name directly. So instead of:
alt.Y('y:Q', sort=alt.EncodingSortField('x', order='descending'))
you can now use:
alt.Y('y:Q', sort="-x")
The
rangeStep
argument toScale
andChart.configure_scale()
is deprecated. instead, usechart.properties(width={"step": rangeStep})
orchart.configure_view(step=rangeStep)
.align
,center
,spacing
, andcolumns
are no longer valid chart properties, but are moved to the encoding classes to which they refer.
Version 3.3.0 (released Nov 27, 2019)#
Last release to support Python 2
Enhancements#
Add inheritance structure to low-level schema classes (#1803)
Add
html
renderer which works across frontends (#1793)Support Python 3.8 (#1740, #1781)
Add
:G
shorthand for geojson type (#1714)Add data generator interface:
alt.sequence
,alt.graticule
,alt.sphere()
(#1667, #1687)Support geographic data sources via
__geo_interface__
(#1664)
Bug Fixes#
Support
pickle
andcopy.deepcopy
for chart objects (#1805)Fix bug when specifying
count()
withintransform_joinaggregate()
(#1751)Fix
LayerChart.add_selection
(#1794)Fix arguments to
project()
method (#1717)Fix composition of multiple selections (#1707)
Version 3.2.0 (released August 5, 2019)#
Upgraded to Vega-Lite version 3.4 (See Vega-Lite 3.4 Release Notes).
Following are changes to Altair in addition to those that came with VL 3.4:
Enhancements#
Selector values can be used directly in expressions (#1599)
Top-level chart repr is now truncated to improve readability of error messages (#1572)
Bug Fixes#
top-level
add_selection
methods now delegate to sub-charts. Previously they produced invalid charts (#1607)Unsupported
mark_*()
methods removed from LayerChart (#1607)New encoding channels are properly parsed (#1597)
Data context is propagated when encodings are specified as lists (#1587)
Backward-Incompatible Changes#
alt.LayerChart
no longer hasmark_*()
methods, because they never produced valid chart specifications) (#1607)
Version 3.1.0 (Released June 6, 2019)#
Update includes full compatibility with version 3.3 of Vega-Lite.
Enhancements#
Added support for vega themes via
alt.themes.enable(theme_name)
(#1539)Added an
alt.renderers.disable_max_rows()
method for disabling the maximum rows check (#1538)Improved user-facing warnings/errors around layering and faceting (#1535).
data
argument is now properly handled byChart.properties
(#1525)Compound charts (layer, concat, hconcat, vconcat) now move data to the top level by default. In particular, this means that the
facet()
method can now be called directly on a layered chart without having to change how data is specified. (#1521)alt.LayerChart
now supportsmark_*()
methods. If a layer specifies a mark at the top level, all child charts will inherit it (unless they override it explicitly).alt.Chart.facet()
now handles wrapped facets; for example:python chart.facet('column_name', columns=5)
Seealtair/examples/us_population_over_time_facet.py
for a more complete example.
Bug fixes#
Make
chart.serve()
andchart.save()
respect the data transformer setting (#1538)Fixed a deserialization bug for certain chart specs in schemapi (#1543)
Backward-Incompatible Changes#
alt.Chart.facet()
now accepts a wrapped facet encoding as a first positional argument, rather than a row encoding. The following are examples of old invocations, and the equivalent new invocations:chart.facet(row='col1', column='col2')
: unchangedchart.facet('col1', 'col2')
: change tochart.facet(row='col1', column='col2')
chart.facet('col1')
: change tochart.facet(row='col1')
In each case, the new invocations are compatible back to Altair 2.X.
Several of the encoding channels added in 3.0 have had their capitalization corrected to better match the names used in the schema:
alt.Fillopacity
->alt.FillOpacity
alt.Strokeopacity
->alt.StrokeOpacity
alt.Strokewidth
->alt.StrokeWidth
alt.Xerror
->alt.XError
alt.Xerror2
->alt.XError2
alt.Yerror
->alt.YError
alt.Yerror2
->alt.YError2
Version 3.0.1 (Released May 1, 2019)#
Fix version info bug for HTML output and Colab & Kaggle renderers.
Version 3.0.0 (Released April 26, 2019)#
Update to Vega-Lite 3.2 and Vega 5.3 & support all new features. See https://github.com/vega/vega-lite/releases/tag/v3.0.0 for Vega-Lite feature lists.
Highlights:#
new compound marks:
mark_boxplot()
,mark_errorband()
,mark_errorbar()
new transforms:
transform_impute()
,transform_joinaggregate()
,transform_flatten()
transform_fold()
,transform_sample()
,transform_stack()
new
facet
encoding that is similar to therow
andcolumn
encoding, but allows for wrapped facetsnew
alt.concat()
function that is similar toalt.hconcat
andalt.vconcat
, but allows for more general wrapped concatenationnew
columns
keyword that allows wrapped faceting, repeating, and concatenation.many, many bug fixes
tooltips can now be automatically populated using the
tooltip
mark configuration.ability to specify initial conditions for selections
Version 2.4.1 (Released February 21, 2019)#
Enhancements#
Several documentation cleanups & new examples
Bug Fixes#
Fix incompatibility with pandas version 0.24 (#1315)
Version 2.3.0 (Released December 7, 2018)#
Includes many reworked examples in the example gallery.
Enhancements#
Better errors for non-string column names, as well as automatic conversion of
pandas.RangeIndex
columns to strings (#1107)Renderers now have set_embed_options() method (#1203)
Added kaggle renderer & more HTML output options (#1123)
Backward-incompatible changes#
Maintenance#
fix typing requirement in Python 3.6+ (#1185)
Added support & CI testing for Python 3.7 (#1008)
Bug fixes#
Selection predicates now recognize all valid entries (#1143)
Python 2 support for
chart.save()
(#1134)
Version 2.2.2 (Released August 17, 2018)#
Bug Fixes#
fix missing JSON resource in
altair.vega.v4
(#1097)
Version 2.2.1 (Released August 15, 2018)#
Bug Fixes#
appropriate handling of InlineData in dataset consolidation (#1092)
fix admonition formatting in documentation page (#1094)
Version 2.2.0 (Released August 14, 2018):#
Enhancements#
better handling of datetimes and timezones (#1053)
all inline datasets are now converted to named datasets and stored at the top level of the chart. This behavior can be disabled by setting
alt.data_transformers.consolidate_datasets = False
(#951 & #1046)more streamlined shorthand syntax for window transforms (#957)
Maintenance#
Backward-incompatible changes#
alt.SortField
renamed toalt.EncodingSortField
andalt.WindowSortField
renamed toalt.SortField
(#3741)
Bug Fixes#
Fixed serialization of logical operands on selections within
transform_filter()
: (#1075)Fixed sphinx issue which embedded chart specs twice (#1088)
Avoid Selenium import until it is actually needed (#982)
Version 2.1.0 (Released June 6, 2018):#
Enhancements#
add a
scale_factor
argument tochart.save()
to allow the size/resolution of saved figures to be adjusted. (#918)add an
add_selection()
method to add selections to charts (#832)add
chart.serve()
andchart.display()
methods for more flexibility in displaying charts (#831)allow multiple fields to be passed to encodings such as
tooltip
anddetail
(#830)make
timeUnit
specifications more succinct, by parsing them in a manner similar to aggregates (#866)make
to_json()
andto_csv()
have deterministic filenames, so in json mode a single datasets will lead to a single on-disk serialization (#862)
Breaking Changes#
make
data
the first argument for all compound chart types to match the semantics ofalt.Chart
(this includesalt.FacetChart
,alt.LayerChart
,alt.RepeatChart
,alt.VConcatChart
, andalt.HConcatChart
) (#895).update vega-lite to version 2.4.3 (#836)
Only API change is internal:
alt.MarkProperties
is nowalt.MarkConfig
Maintenance#
update vega to v3.3 & vega-embed to v3.11 in html output & colab renderer (#838)
Version 2.0.0: May 2, 2018#
Complete rewrite of Altair, focused on supporting Vega-Lite 2.X
Version 1.2.1: October 29, 2017#
This version of Altair is based on Vega-Lite 1.2.1.
Major additions#
Support for JupyterLab/nteract through MIME based rendering. Enable this by calling
enable_mime_rendering()
before rendering visualizations (#216).Change default import in all code and docs to
import altair as alt
Check for missing and misspelled column names upon exporting or rendering, and raise
FieldError
(#399) if any problems are found. This can be disabled by settingChart.validated_columns=False
.Raise
MaxRowsExceeded
if the number of rows in the dataset is larger thanChart.max_rows
to guard against sending large datasets to the browser.Move the Vega-Lite 1.x api into
altair.v1
to make it easier for us to migrate to Vega-Lite 2.x and continue to support 1.x. No import change are needed asaltair.v1
is aliased toaltair
in this releasealtair.v1
(#377).Moved the example notebooks into a separate repository (https://github.com/altair-viz/altair_notebooks) that has Binder support (#391).
Add
$schema
to top-level JSON spec (#370).Minor documentation revisions.
Bug fixes#
Make sure default mark is a point (#344).
Version 1.2: Nov 7, 2016#
Major additions#
Update to Vega-Lite 1.2 and make all its enhancements available to Altair
Add
Chart.serve
method (#197)Add
altair.expr
machinery to specify transformations and filterings (#215)Add
Chart.savechart
method, which can output JSON, HTML, and (if Node is installed) PNG and SVG. See https://altair-viz.github.io/documentation/displaying.html (#213)
Bug fixes#
Countless minor bug fixes
maintenance:#
Update to Vega-Lite 1.2.1 and add its supported features
Create website: http://altair-viz.github.io/
Set up Travis to run conda & pip; and to build documentation
Version 1.0: July 11, 2016#
Initial release of Altair