An open-source plotting library for statistical data.

JetBrains

Last update: Jan 6, 2023

Related tags

Data Visualization kotlin python data-science jupyter plot data-visualization plot-library jupyter-notebooks statistical-data ggplot

Overview

Lets-Plot

Lets-Plot is an open-source plotting library for statistical data. It is implemented using the Kotlin programming language.

The design of Lets-Plot library is heavily influenced by Leland Wilkinson work The Grammar of Graphics describing the deep features that underlie all statistical graphics.

This grammar [...] is made up of a set of independent components that can be composed in many different ways. This makes [it] very powerful because you are not limited to a set of pre-specified graphics, but you can create new graphics that are precisely tailored for your problem.

Hadley Wickham, "ggplot2: Elegant Graphics for Data Analysis"

Due to the unique multi-platform nature of Kotlin programming language, you can obtain the plotting functionality that is packaged as a JavaScript library, JVM library, and a native Python extension.

Lets-Plot for Python

The Lets-Plot for Python package offers a ggplot-like API for data visualization in Jupyter notebooks as well as in other notebooks like Datalore, Kaggle or Colab.

You can even create plots using Python editor in PyCharm or IntelliJ IDEA (Scientific mode, the Lets-Plot in SciView plugin is required).

Read the Lets-Plot for Python documentation to learn more about the package installation and usage.

JVM artifacts and Kotlin API

Lets-Plot Kotlin API adds Grammar-of-Graphics plotting capabilities to Kotlin kernels for Jupyter notebooks.

Apart from Jupyter notebooks, Lets-Plot Kotlin API enables embedding plots into a JVM-based application.

To learn more about creating plots in a JVM environment see README_DEV.md in the Lets-Plot Kotlin project on GitHub.

"Lets-Plot in SciView" plugin for IntelliJ IDEA and PyCharm

The plugin adds support for interactive plots in IntelliJ-based IDEs with the enabled Scientific mode.

The Scientific mode in PyCharm and in IntelliJ IDEA Python plugin provides support for interactive scientific computing and data visualization.

To learn more about Scientific mode check these help pages:

To learn more about the plugin check: Lets-Plot in SciView plugin homepage.

License

Comments

Select better labels for datatime axis

val data = mapOf(
     "time" to doubleArrayOf(0.0, 90*60*1000.0, 2*90*60*1000.0) , 
    "rate" to doubleArrayOf(0.0, 50.0, 250.0) 
)
 val plot = letsPlot(data) + geomLine { x = "time"; y = "rate" } +
         scaleXDateTime("Time", expand = listOf(0, 0))

Output: time chart

Note how labels are duplicated, and it is hard to tell which means what

The very first label should probably include more time units.

opened by vlsi 11

Support for more map projections

Thanks for your work on this amazing project!

I got a question about the coord_map() that uses Mercator projection, which is a conformal one that preserves shapes. There are many other map projections with different properties that could be useful in different situations as well. Is there any plan to support more map projections?

opened by wang-boyu 10
Js import is dropped on cell recalculation
Plot something (e. g. an example from tutorial)

Recalculate the same cell

Refresh the page

Expected: The plot is still shown

Actual: No plot is shown, an exception window.letsPlotCall is not a function in js console
opened by uppi 10

Not working in windows cmd prompt

let's plot works well in pycharm and jupyter notebook. But when I try to run the script in cmd prompt, errors occour:

from lets_plot import *

D:\programfiles\anaconda\lib\site-packages\numpy\__init__.py:143: UserWarning: mkl-service package failed to import, therefore Intel(R) MKL initialization ensuring its correct out-of-the box operation under condition when Gnu OpenMP had already been loaded by Python process is not assured. Please install mkl-service package, see http://github.com/IntelPython/mkl-service
  from . import _distributor_init
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\yuliang18\AppData\Roaming\Python\Python38\site-packages\lets_plot\__init__.py", line 17, in <module>
    from .frontend_context import *
  File "C:\Users\yuliang18\AppData\Roaming\Python\Python38\site-packages\lets_plot\frontend_context\__init__.py", line 6, in <module>
    from ._configuration import *
  File "C:\Users\yuliang18\AppData\Roaming\Python\Python38\site-packages\lets_plot\frontend_context\_configuration.py", line 8, in <module>
    from ._html_contexts import _create_html_frontend_context, _use_isolated_frame
  File "C:\Users\yuliang18\AppData\Roaming\Python\Python38\site-packages\lets_plot\frontend_context\_html_contexts.py", line 7, in <module>
    from ._jupyter_notebook_ctx import JupyterNotebookContext
  File "C:\Users\yuliang18\AppData\Roaming\Python\Python38\site-packages\lets_plot\frontend_context\_jupyter_notebook_ctx.py", line 14, in <module>
    from .. import _kbridge as kbr
  File "C:\Users\yuliang18\AppData\Roaming\Python\Python38\site-packages\lets_plot\_kbridge.py", line 7, in <module>
    import lets_plot_kotlin_bridge
ImportError: DLL load failed while importing lets_plot_kotlin_bridge: 找不到指定的模块。

Environment:

win 64
python 3.8.8
lets plot 2.1
conda install m2w64-toolchain : done

opened by antonio-yu 8

Not working with PyCharm, fails to send plot 500 Error

running the example code fails

import numpy as np
from lets_plot import *

# Generate random data-points for the demo.
np.random.seed(12)
data = dict(
    cond=np.repeat(['A', 'B'], 200),
    rating=np.concatenate((np.random.normal(0, 1, 200), np.random.normal(1, 1.5, 200)))
)

# Create plot specification.
p = ggplot(data, aes(x='rating', fill='cond')) + ggsize(500, 250) \
    + geom_density(color='dark_green', alpha=.7) + scale_fill_brewer(type='seq') \
    + theme(axis_line_y='blank')

# Display plot in 'SciView'.
p.show()

fails as shown

Error: failed to send plot to http://127.0.0.1:63342
Traceback (most recent call last):
  File "/Users/robinnorthcott/Library/Application Support/JetBrains/Toolbox/apps/PyCharm-P/ch-0/212.5284.44/PyCharm.app/Contents/plugins/python/helpers/pycharm_display/datalore/display/display_.py", line 76, in _send_display_message
    urllib_request.urlopen(url, buffer)
  File "/usr/local/Cellar/[email protected]/3.9.7/Frameworks/Python.framework/Versions/3.9/lib/python3.9/urllib/request.py", line 214, in urlopen
    return opener.open(url, data, timeout)
  File "/usr/local/Cellar/[email protected]/3.9.7/Frameworks/Python.framework/Versions/3.9/lib/python3.9/urllib/request.py", line 523, in open
    response = meth(req, response)
  File "/usr/local/Cellar/[email protected]/3.9.7/Frameworks/Python.framework/Versions/3.9/lib/python3.9/urllib/request.py", line 632, in http_response
    response = self.parent.error(
  File "/usr/local/Cellar/[email protected]/3.9.7/Frameworks/Python.framework/Versions/3.9/lib/python3.9/urllib/request.py", line 561, in error
    return self._call_chain(*args)
  File "/usr/local/Cellar/[email protected]/3.9.7/Frameworks/Python.framework/Versions/3.9/lib/python3.9/urllib/request.py", line 494, in _call_chain
    result = func(*args)
  File "/usr/local/Cellar/[email protected]/3.9.7/Frameworks/Python.framework/Versions/3.9/lib/python3.9/urllib/request.py", line 641, in http_error_default
    raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 500: Internal Server Error
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
  File "/Users/robinnorthcott/Library/Application Support/JetBrains/Toolbox/apps/PyCharm-P/ch-0/212.5284.44/PyCharm.app/Contents/plugins/python/helpers/pycharm_display/datalore/display/display_.py", line 60, in try_empty_proxy
    urllib_request.urlopen(url, buffer)
  File "/usr/local/Cellar/[email protected]/3.9.7/Frameworks/Python.framework/Versions/3.9/lib/python3.9/urllib/request.py", line 214, in urlopen
    return opener.open(url, data, timeout)
  File "/usr/local/Cellar/[email protected]/3.9.7/Frameworks/Python.framework/Versions/3.9/lib/python3.9/urllib/request.py", line 523, in open
    response = meth(req, response)
  File "/usr/local/Cellar/[email protected]/3.9.7/Frameworks/Python.framework/Versions/3.9/lib/python3.9/urllib/request.py", line 632, in http_response
    response = self.parent.error(
  File "/usr/local/Cellar/[email protected]/3.9.7/Frameworks/Python.framework/Versions/3.9/lib/python3.9/urllib/request.py", line 561, in error
    return self._call_chain(*args)
  File "/usr/local/Cellar/[email protected]/3.9.7/Frameworks/Python.framework/Versions/3.9/lib/python3.9/urllib/request.py", line 494, in _call_chain
    result = func(*args)
  File "/usr/local/Cellar/[email protected]/3.9.7/Frameworks/Python.framework/Versions/3.9/lib/python3.9/urllib/request.py", line 641, in http_error_default
    raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 500: Internal Server Error

opened by boofhead 8

scaleColorManual swaps labels if dataframe contains single label
STEPS TO REPRODUCE

Create a dataframe with a single label (e.g. "sedentary")

Create a scaleColorManual with multiple labels (e.g. "sedentary", "walking", "running", "biking")

Graph the data

RESULTS Actual The legend shows "walking" with the color for walking, but there was no walking data in the dataframe. The sedentary data was erroneously remapped to walking.

Expected The legend shows "sedentary" with the color for sedentary.

NOTES If I remove scaleColorManual, the bug no longer occurs.

I'm graphing wearable sensor data with a set of different labels. Not every label will be in every graph, and some graphs might only have a single label.

As an example, consider graphing heart rate versus activities like sedentary, walking, running, biking. In some instances, a user might be sedentary the entire time and so the other labels won't appear. When a graph contains at least 2 labels, the colors are correct. But when it contains a single label, then the color of that single label can be wrong. I believe there might be an ordering component to trigger this issue.

In terms of the actual API usage, my usage looks something like this:

val plotData: Map<String, List<Any>> = buildMap<String, List<Any>> { put(LABELS, data.map { it.label }) val groups = data.map { it.label }.group() put(GROUPS, groups) put(X, data.map { it.x }) put(Y, data.map { it.y }) } val plot = letsPlot( plotData ) + geomLine(showLegend = true) { x = X y = Y group = GROUPS color = asDiscrete(LABELS, order = 1) } + ggtitle( title ) + ylab( yAxisLabel ) + scaleXDateTime() + scaleColorManual( values = labelColors.map { it.color }, labels = labelColors.map { it.label } )
documentation
opened by ccjernigan 7
Plots not showing in SciView when remote debugging

I have previously used lets-plot with my local interpreter in Scientific Mode with no problem. Switching to a remote interpreter lets-plot stopped working and my plots wont show up in SciView. Here are my system info:

PyCharm 2020.0.3.3 lets-plot python package 2.0.0 Lets-Plot in SciView plugin 1.0.9.202

opened by mirbagheri 7
Is there a way to use the standard ggplot theme with lets-plot?

Hi, Is there a way to achieve the standard ggplot theme with lets-plot plots? Perhaps something similar to sns.set()? I didn't find anything in the docs but maybe I missed it.
enhancement

opened by prasoon2211 7
Rendering is broken inside Databricks with DBR 11.x and higher - potential fix included

Hello,

lets-plot used to work on Databricks with DBR 10.x (cluster version) and lower and we have customers who love and use it.

However, with DBR 11.x the auto-renderer breaks because it detects the wrong display type. To fix this, customers have to explicitly do LetsPlot.setup_html(isolated_frame=True) because isolated_frame is auto-detected to be False. IMO most likely as part of _detect_isolated_frame.

Databricks can be detected e.g. via "databricks" in str(os.environ) which might be added to https://github1s.com/JetBrains/lets-plot/blob/HEAD/python-package/lets_plot/frontend_context/_html_contexts.py#L68-L69 or similar.

What do you think?

opened by fwetdb 6

Is kotlin-reflect really needed for lets-plot?

I'm about to add lets-plot charts to Apache JMeter, and it turns out kotlin-reflect-1.5.21.jar consumes 3 megabytes (~18% of the new jars).

Could kotlin-reflect dependency be avoided in lets-plot?

Just for reference, here's the list of all the jars Kotlin + lets-plot brings:

    54852334 => 71166807 bytes (+16314473 bytes)
    99 => 134 files (+35)

  +   17536 annotations-13.0.jar
  -   18538 annotations-16.0.2.jar
  +  507197 base-portable-jvm-2.1.0.jar
  +  485809 batik-anim-1.14.jar
  +  424624 batik-awt-util-1.14.jar
  +  703757 batik-bridge-1.14.jar
  +  112373 batik-codec-1.14.jar
  +    8433 batik-constants-1.14.jar
  +  330318 batik-css-1.14.jar
  +  184487 batik-dom-1.14.jar
  +   10238 batik-ext-1.14.jar
  +  192087 batik-gvt-1.14.jar
  +   11466 batik-i18n-1.14.jar
  +   76875 batik-parser-1.14.jar
  +   25876 batik-script-1.14.jar
  +    6663 batik-shared-resources-1.14.jar
  +  232734 batik-svg-dom-1.14.jar
  +  227514 batik-svggen-1.14.jar
  +  129300 batik-transcoder-1.14.jar
  +  127477 batik-util-1.14.jar
  +   33866 batik-xml-1.14.jar
  +   32033 kotlin-logging-jvm-2.0.5.jar
  + 2993765 kotlin-reflect-1.5.21.jar
  + 1505952 kotlin-stdlib-1.5.31.jar
  +  198322 kotlin-stdlib-common-1.5.31.jar
  +   22986 kotlin-stdlib-jdk7-1.5.31.jar
  +   16121 kotlin-stdlib-jdk8-1.5.31.jar
  +  792176 kotlinx-html-jvm-0.7.3.jar
  +  196707 lets-plot-batik-2.1.0.jar
  + 3593892 lets-plot-common-2.1.0.jar
  +  627895 plot-api-jvm-3.0.2.jar
  +  882509 plot-base-portable-jvm-2.1.0.jar
  +  792534 plot-builder-portable-jvm-2.1.0.jar
  +  115007 plot-common-portable-jvm-2.1.0.jar
  +  454864 plot-config-portable-jvm-2.1.0.jar
  +  173932 vis-svg-portable-jvm-2.1.0.jar
  +   85686 xml-apis-ext-1.3.04.jar

opened by vlsi 6

Add scales argument to facet_grid and facet_wrap

Hi,

I'd be nice to have the scales argument in facet_grid and facet_wrap as in R-ggplot2, where it allows to set the scaling of the x or y axes, or both, to the range of the facet rather than the range of all facets.

Thanks!

opened by essicolo 6
element_text: add support for "angle" parameter

https://ggplot2.tidyverse.org/reference/element.html

See related discussion: https://github.com/JetBrains/lets-plot/discussions/611#discussioncomment-4489409

This is mostly for rotation of axis tick labels (i.e. for axis_text, axis_text_x, axis_text_y parameters in theme).

opened by alshan 0

Tooltip does not reflect ..quantile.. aesthetic change

Example:

data = {
    "x": [0, 1, 1, 2],
    "y": [0, 0, 0, 0],
}
ggplot(data) + \
    geom_area_ridges(aes("x", "y", fill="..quantile..")) + \
    scale_fill_gradient(low="red", high="green")

Result:

tooltips_for_area_ridges

opened by ASmirnov-HORIS 0

'set_theme()' should accept "feature list"
LetsPlot.set_theme(theme_bw()+flavor_solarized_dark())

ValueError: Wrong option type. Expected theme but was feature-list.

Or provide other way, perhaps:

LetsPlot.set_flavor(flavor_solarized_dark())
opened by alshan 0

Bad default formatting for stat variables

Appears in tooltips:

tooltips=layer_tooltips(['..prop..', '..proppct..']))

The same - with annotations:

labels=layer_labels().line('@{..count..}').line('(@{..prop..})')

opened by OLarionova-HORIS 0

The scale name does not apply with `as_discrete()`

The scale name is not applied when as_discrete() is used:

from lets_plot import *
from lets_plot.mapping import as_discrete

LetsPlot.setup_html()

dat2 = dict(
    x = ["a", "a", "b"],
)

(ggplot(dat2) + 
 geom_bar(aes("x", fill=as_discrete("x"))) + 
 scale_fill_manual(name="O", values=["red", "blue"], labels=['No', 'Yes'])
)

Result: Screenshot 2022-12-14 at 17 28 49

Expected: the legend title should contains "O"

Notebook example: here

opened by OLarionova-HORIS 0

Releases(v3.0.0)

v3.0.0(Dec 15, 2022)
[3.0.0] - 2022-12-15

Added

Python wheel for Python 3.11.

residual_plot().

See: example notebook.

geom_area_ridges().

See: example notebook.

geom_pie().

See: example notebook.

Annotations for pie chart:

See: example notebook.

New variables computed by 'count' and 'count2d' statistics: '..sum..', '..prop..', '..proppct..'.

See: example notebook.

Maps:

"Spatial pies" on interactive maps.

See: example notebook.

The flat parameter for geom_path() and geom_segment() (replaces the retired geodesic parameter in geom_livemap).

See: example notebook.

Static maps:

The value "provided" for use_crs parameter.

See: example notebook.

geom_imshow():

Improved performance by orders of magnitude.

Transparency of NaN values in grayscale images [#631]. See: example notebook.

alpha parameter [#630]. See: example notebook.

tails_cutoff parameter in geom_violin() See: example notebook.

Changed

[BREAKING] Dropped support for Python 3.6 as it is in the "end-of-life" of its release cycle.

[BREAKING] geom_livemap() itself no longer draws geometries, so the following options are no longer supported: symbol, data, mapping, map, map_join, ontop, stat, position, show_legend, sampling, tooltips. To draw point and pie markers on map, please, use the geom_point() and geom_pie() geometry layers.

Java/Swing platf.: Apache Batik upgraded to v.1.16 [#624], [LPK #140].

The default size is increased for the plot title and decreased for the caption.

Upgraded Kotlin version to 1.7.21 (was 1.7.20).

Fixed

Themes: can't change plot background after applying a "flavor" [#623].

Layout: uneven left/right, top/bottom plot margins [#625].

A plot building error with empty data on various geoms.

Precision error in gradient [#634].

geom_livemap: wrong position when datapoints geodesic line goes close to the N.P. [#645].

Source code(tar.gz)
Source code(zip)
lets-plot.js(53.23 MB)
lets-plot.min.js(3.43 MB)
v3.0.0rc2(Dec 13, 2022)

Source code(tar.gz)
Source code(zip)
lets-plot.js(53.23 MB)
lets-plot.min.js(3.43 MB)
v3.0.0rc1(Dec 8, 2022)

Source code(tar.gz)
Source code(zip)
lets-plot.js(53.22 MB)
lets-plot.min.js(3.42 MB)
v2.5.1(Nov 3, 2022)
[2.5.1] - 2022-11-03

Added

geom_text(), geom_label():

the 'newline' character (\n) now works as line break ([#605])

lineheight aesthetic ([#324])

nudge_x, nudge_y parameters ([#324])

special text alignments (vjust and hjust): "inward" and "outward" ([#324])

See: example notebook.

vjust parameter in position_stack() and position_fill() [#323].

See: example notebook.

use_crs parameter in geom_map() and other geoms, working with GeoDataFrame

See: example notebook.

geom_imshow() (former geom_image()):

extent parameter

See: example notebook.

vmin, vmax, cmap parameters

See: example notebook.

image_matrix():

vmin, vmax, cmap parameters

See: example notebook.

Changed

geom_image() renamed to geom_imshow()

See updated examples: image 101, Fisher's boat.

geom_boxplot(): default value for parameter whisker_width is 0.5.

Upgraded Kotlin version to 1.7.20 (was 1.6.21).

Fixed

element_blank() has no effect in theme legend_title [#608].

geom_livemap(): add support of geom_label parameters [#601].

Tooltip: different formats for same aesthetic Y [#579].

Positioning with "constant" x/y doesn't work on axis with log10 transform [#618].

Positional "constant" doesn't honor axis limits [#619].

Parameter norm in geom_imshow().

Several issues leading to crush in Swing/Batik apps. Related to [discussions]

Text labels got trimmed occasionally, when symbols -, /, \ or | present.

geom_livemap() doesn't load vector tiles inside iframe with certain security policies.

Source code(tar.gz)
Source code(zip)
lets-plot.js(53.02 MB)
lets-plot.min.js(3.38 MB)
v2.5.1rc1(Nov 2, 2022)

Source code(tar.gz)
Source code(zip)
lets-plot.js(53.02 MB)
lets-plot.min.js(3.38 MB)
v2.5.0(Sep 29, 2022)
[2.5.0] - 2022-09-29

Added

New theme: theme_bw() [#554].

See: example notebook.

Color schemes (flavors) applicable to existing themes:

flavor_darcula()

flavor_solarized_light()

flavor_solarized_dark()

flavor_high_contrast_light()

flavor_high_contrast_dark()

See: example notebook.

Viridis color scales: scale_color_viridis(), scale_fill_viridis().

See: example notebook.

New parameters in element_text() [#562]:

size, family (example notebook)

hjust, vjust for plot title, subtitle, caption, legend and axis titles (example notebook)

margin for plot title, subtitle, caption, axis titles and tick labels (example notebook)

The 'newline' character (\n) now works as line break in axis title.

See: example notebook.

Parameter whisker_width in geom_boxplot() [#549].

See: example notebook.

New geometry geom_label() [#557].

See: example notebook.

Auto-detection of Databricks and NextJournal environments [#602].

Python wheels for manylinux arm64 architecture [#581].

Changed

New tooltip style after applying coord_flip() [#580].

See: example notebook.

In Lets-Plot for Java/Swing, Apache Batik upgraded to v.1.15 [#604]

Fixed

Density and area geoms: preserve the z-order when grouping [#552].

Allow to import all 'bistro' functions just by '*' [#551].

Boxplot, violin, crossbar: position dodge width=0.95 should be used by default [#553].

Tooltip is shown not for the nearest object [#574].

Tooltip is not displayed for the object on the plots border [#575].

The plot caption overlaps with the legend [#587].

Unclear size unit of width [#589].

Specify size units in docstrings [#597].

No tooltips for geom_boxplot with zero height [#563].

geom_text: wrong label alignment with hjust 0 and 1 [#592].

Error when using lets-plot in streamlit [#595].

Documentation for the breaks parameter in scales [#507].

Source code(tar.gz)
Source code(zip)
lets-plot.js(52.96 MB)
lets-plot.min.js(3.37 MB)
v2.5.0rc1(Sep 19, 2022)

Source code(tar.gz)
Source code(zip)
lets-plot.js(43.90 MB)
lets-plot.min.js(3.34 MB)
v2.4.0(Jun 20, 2022)
[2.4.0] - 2022-06-20

Added

Python 3.10 support [#505].

Python 3.9: a Python wheel for macOS arm64 architecture (Apple Silicon).

LetsPlot.set_theme() - configuring a default plot theme.

See: example notebook.

Quantile-Quantile (Q-Q) plot:

geometries:

geom_qq()

geom_qq_line()

geom_qq2()

geom_qq2_line()

quick Q-Q : the qq_plot() function in the bistro module.

See: example notebook.

Marginal plots: the ggmarginal() function [#200], [#384].

See: example notebook.

Parameter orientation in geoms: bar, boxplot, density, histogram, freqpoly, smooth, violin.

See: example notebook.

New in plot theme:

face parameter in element_text().

See: example notebook.

panel_border parameter in theme() [#542].

See: example notebook.

Tooltip theme options, new parameters in theme():

tooltip - tooltip rectangle options;

tooltip_text, tooltip_title_text - tooltip text options;

axis_tooltip_text, axis_tooltip_text_x, axis_tooltip_text_y - axis tooltip text options.

See: example notebook.

scale_color_gradientn() and scale_fill_gradientn() functions [#504].

See: example notebook.

Changed

geom_livemap [breaking change] : symbol="point" now should be specified explicitly to enable the "livemap" layer to handle provided "point" aesthetics directly. This change doesn't affect "points" layers added via the geom_point() geometry layer.

New style of tooltip color marker (two sidebars with a stroke color) and symbols in legend (rectangle with a stroke instead of a slash-line).

New type of general tooltip for geom_boxplot: displayed under the cursor.

Default sampling type for geom_violin switched from systematic to pick.

Fixed

geom_livemap: support of the arrow parameter in geom_segment [#131].

Differences in tooltip color marker for plots with and without livemap.

Labels out of plot when axis_text_y='blank' [#525].

NPE in corr_plot with null coefficients.

Outliers are not shown when boxplot' alpha=0.

Support for polars.DataFrame [#526].

JFX rendering issue that causes tooltips to stuck [#539].

Support trim parameter in density and ydensity stats [#62].

Unexpected point geometries on geom_livemap() [#547].

geom_violin: add missing parameters kernel, bw, adjust, n, fs_max to signature and docstring.

Source code(tar.gz)
Source code(zip)
lets-plot.js(43.59 MB)
lets-plot.min.js(3.28 MB)
v2.4.0rc1(Jun 15, 2022)

Source code(tar.gz)
Source code(zip)
lets-plot.js(43.59 MB)
lets-plot.min.js(3.28 MB)
v2.3.0(Mar 21, 2022)
[2.3.0] - 2022-03-21

Added

Plot subtitle and caption [#417]: subtitle parameter in ggtitle() and labs(), caption parameter in labs(), plot_subtitle and plot_caption parameters in theme().

See: example notebook.

The 'newline' character (\n) now works as line break in plot title, subtitle, caption and in legend title.

See: example notebook.

New in tooltip customization API:

The title() option defines a tooltip "title" text which will always appear above the rest of the tooltip content.

The 'newline' character (\n) now works as line break in tooltips.

Automatic word wrap: occurs when the length of a text value in tooltip exceeds the 30 characters limit.

See: example notebook.

Parameter scales in facet_grid()/facet_wrap() [#451, #479].

See: example notebook.

New in geom_livemap():

The Reset button: returns the map widget to its initial zoom/location state.

Parameters data_size_zoomin, const_size_zoomin: allow configuring how zooming-in of the map widget increases size of geometry objects (circles, lines etc.) on map.

Parameter ontop that controls z-index of the geom_livemap layer.

Parameter show_coord_pick_tools to show "copy location" and "draw geometry" buttons.

New geometries:

geom_violin()

See: example notebook.

geom_dotplot()

See: example notebook.

geom_ydotplot()

See: example notebook.

Changed

New tooltip style: rounded corners, bold label, colored marker inside the tooltip.

Deprecated tooltip customization API: function color() will be removed in one of the future releases.

'Auto shrink': plots automatically shrink when necessary to fit width of the output (notebook) cell [#488].

Fixed

LiveMap, Swing-batik: legend is not visible when overlapping map [#496].

CVE-2021-23792 in org.jetbrains.lets-plot:[email protected] [#497].

Color in tooltip does not correspond to the color of marker on map [#227].

tooltip on livemap: hide tooltip when the cursor is over the controls [#335].

Automatic detection of DateTime series [#99].

Fix tooltips for geom_histogram(stat='density').

The axis tooltip overlaps the general tooltip [#515].

The multi-layer tooltip detection strategy will only be used if more than one layer provides tooltips.

scaleColorManual Divide by Zero with 1 mapping [#506].

LinearBreaksHelper$Companion.computeNiceBreaks out of memory error [#105].

Source code(tar.gz)
Source code(zip)
lets-plot.js(42.47 MB)
lets-plot.min.js(3.22 MB)
v2.3.0rc2(Mar 16, 2022)

Source code(tar.gz)
Source code(zip)
lets-plot.js(42.47 MB)
lets-plot.min.js(3.22 MB)
v2.3.0rc1(Mar 15, 2022)

Source code(tar.gz)
Source code(zip)
lets-plot.js(42.47 MB)
lets-plot.min.js(3.21 MB)
v2.2.1(Dec 10, 2021)
[2.2.1] - 2021-12-10

Added

scale_x_time() and scale_y_time() [#468].

See: example notebook.

plot_background, legend_background parameters in theme() [#485].

axis_ontop, axis_ontop_x, axis_ontop_y parameters in theme()

Fixed

Coord system limits do not work with x/y scale with transform [#474].

Provide 0-23 hour formatting [#469].

No tooltip shown when I'm trying to add an empty line [#382].

coord_fixed() should adjust dimensions of "geom" panel accordingly [#478].

The tooltip dependence on number of factors works separately by layers [#481].

Tooltip on y-axis looks wrong [#393].

Is kotlin-reflect really needed for lets-plot? [#471].

Source code(tar.gz)
Source code(zip)
lets-plot.js(41.97 MB)
lets-plot.min.js(3.13 MB)
v2.2.1rc1(Dec 6, 2021)

Source code(tar.gz)
Source code(zip)
lets-plot.js(41.70 MB)
lets-plot.min.js(3.13 MB)
v2.2.0(Oct 29, 2021)
[2.2.0] - 2021-10-29

Added

coord_flip().

See: example notebook.

Date-time formatting support:

tooltip format() should understand date-time format pattern [#387];

scale_x_datetime should apply date-time formatting to the breaks [#392].

See: example notebook.

Pre-configured themes:

Standard ggplot2 themes: theme_grey(), theme_light(), theme_classic(), theme_minimal();

Other themes: theme_minimal2() - the default theme, theme_none().

Theme modification: more parameters were added the theme() function.

See: example notebook.

Note: fonts size, family and face still can not be configured.

corr_plot() function now also accepts pre-computed correlation coefficients. I.e. the following two expressions are equivalent:

corr_plot(iris_df).points().labels().build() corr_plot(iris_df.corr()).points().labels().build() # new

Changed

The size of fonts on plot was slightly increased all across the board.

The default plot size was increased by 20%, it's now 600x400 px.

Deprecated API: stat_corr() and "correlation stat" will be removed in one of the future releases. Please use the corr_plot() plot builder object instead.

Fixed

Ordering facets - the "order" value 0 disables facet ordering [#454].

Tooltips for discrete variables: add the dependence of the tooltip on the number of factors. The X-axis tooltip is always shown for discrete data.

map_join doesn't work when join variables with same names without mappings [#428].

Zoom without clipping breaks tooltips [#373].

Unreadable breaks on axis [#430].

Map rendering is broken when browser uses scaling [#450].

corr_plot() error for data with zero variation [#329].

Misleading error message [#271].

Source code(tar.gz)
Source code(zip)
lets-plot.js(41.89 MB)
lets-plot.min.js(3.11 MB)
v2.2.0rc3(Oct 28, 2021)

Source code(tar.gz)
Source code(zip)
lets-plot.js(41.89 MB)
lets-plot.min.js(3.11 MB)
v2.2.0rc2(Oct 26, 2021)

Source code(tar.gz)
Source code(zip)
lets-plot.js(41.75 MB)
lets-plot.min.js(3.11 MB)
v2.2.0rc1(Oct 22, 2021)

Source code(tar.gz)
Source code(zip)
lets-plot.js(41.31 MB)
lets-plot.min.js(3.02 MB)
v2.1.0(Aug 16, 2021)
[2.1.0] - 2021-08-16

Added

Ordering categories. New parameters in the as_discrete function:

order_by (string) - the name of the variable by which the ordering will be performed;

order (int) - the ordering direction - 1 for ascending direction and -1 for descending (default value).

See: as_discrete.

Basemap tiles configuring:

Subdomains parameter {s} for XYZ raster tiles.

Solid color tiles: maptiles_solid().

Builtin configurations for some 3rd party maptile services. The lets_plot.tilesets module.

See: Configuring basemap tiles.

Changed

Upgraded Apach Batik version to 1.14 (was 1.12) [#398].

Upgraded Kotlin version to 1.5.21 (was 1.4.21)

Upgraded Gradle version to 7.1.1 (was 6.8.3)

Fixed

geom_livemap: properly handle max_zoom pamareter in maptiles_zxy().

Strange looking legend for tiles [#245].

Need to skip "bad" values during scale transformation [#301].

NPE on negative value in data and scale_xxx(trans='log10') [#292].

Legend is broken when using scale_fill_brewer with 'trans' parameter [#284].

Scale breaks should be distributed evenly on 'sqrt' scale. [#407].

Wrong tooltip formatting when used with log10 scales [#406].

Bad axis labels when using both plot and layer data [#327].

Plot layout looks wrong [#403].

map_join is not working correctly when map=geocoder [#380]

Tooltip default formatting should not change after adding other variables to tooltip [#388].

Tooltip on axis: increase the font size. [#399].

Tooltip format for variable is not working [#401].

Wrong direction in colorbars (legend) [#204].

geom_jitter: show axis tooltips (same as geom_point) [#412].

Outlier tooltips: the spout sometime is too long (boxplot) [#358].

Faceted plot is broken by geom with "constant" aesthetics [#391].

Interactive maps in AWT (PyCharm plugin):

A memory leak in PyCharm caused by a final void dispose() method in PlotPanel.

When showing map in PyCharm CPU is busy all the time, even then nothing is changing on screen.

Click events detection.

Source code(tar.gz)
Source code(zip)
lets-plot.js(40.99 MB)
lets-plot.min.js(2.95 MB)
v2.1.0rc1(Aug 12, 2021)

Source code(tar.gz)
Source code(zip)
lets-plot.js(40.99 MB)
lets-plot.min.js(2.95 MB)
v2.0.5rc1(Aug 4, 2021)

Source code(tar.gz)
Source code(zip)
lets-plot.js(40.99 MB)
lets-plot.min.js(2.94 MB)
v2.0.4(Jun 9, 2021)
[2.0.4] - 2021-06-09

Changed

Upgraded kotlinx.html version to 0.7.3 (was 0.7.2)

In JVM projects it's no longer necessary to add https://maven.pkg.jetbrains.space/public/p/kotlinx-html/maven repository to the project configuration.

Fixed

Multilayer plots are corrupted [#385].

Source code(tar.gz)
Source code(zip)
lets-plot.js(42.87 MB)
lets-plot.min.js(3.34 MB)
v2.0.3(Jun 2, 2021)
[2.0.3] - 2021-06-02

Added

In tooltip customization API:

layer_tooltips(variables) - the new parameter variables defines a list of variable names, which values will be placed line by line in the general tooltip. See: Tooltip Customization.

Changed

CDN: Lets-Plot JavaScript library is now served via JSDELIVR (was CDNJS):

https://cdn.jsdelivr.net/gh/JetBrains/[email protected]/js-package/distr/lets-plot.min.js

Fixed

Removed the last dependency on bintray JCenter (commit).

geom_boxplot: should be possible to create boxplot without specifying x-series [#325]

geom_hline: graph plotted outside of coordinate plane visible part [#334]

Draw geometry only once if layer has no aes mapping specified [#73]

map: calif.housing [#140]

Can't build plot: "Uncaught SyntaxError: Unexpected string" in a console [#371]

All scales should have the 'format' parameter [#347].

Poor font rendering in Swing/Batik. Related to: [#364]

Exclude slf4j implementation from lets-plot-common [#374]

Source code(tar.gz)
Source code(zip)
lets-plot.js(42.87 MB)
lets-plot.min.js(3.34 MB)
v2.0.3rc2(May 28, 2021)

Source code(tar.gz)
Source code(zip)
v2.0.3rc1(May 26, 2021)

Source code(tar.gz)
Source code(zip)
lets-plot.js(42.87 MB)
lets-plot.min.js(3.34 MB)
v2.0.2(Apr 14, 2021)
[2.0.2] - 2021-04-13

Changed

Due to shutting down of Bintray, JCenter:

The Lets-Plot JS library is now delivered via CDNJS.

JVM Maven artifacts are now published at Maven Central.

Source code(tar.gz)
Source code(zip)
lets-plot.js(42.85 MB)
lets-plot.min.js(3.34 MB)
v2.0.2rc1(Apr 12, 2021)

Source code(tar.gz)
Source code(zip)
lets-plot.js(42.84 MB)
lets-plot.min.js(3.34 MB)
v2.0.1(Mar 17, 2021)
[2.0.1] - 2021-03-17

Added

The alpha parameter for lines [#139].

Tooltips for geom_segment() [#296].

The guides() function [#52].

New Java Swing plot components to enable embedding Lets-Plot charts into JVM applications.

See: vis-swing-common, vis-swing-batik, vis-swing-jfx modules.

Fixed

Fix auto-detection of PyCharm env to enable plotting in SciView while using remote interpreter [348]

Fix tooltips appearing outside the specified x/y limits.

Clippath in accordance to the given limits [#189].

Treat a data as DataFrame if both data and map are GeoDataFrames [#343].

Removed the restriction on tooltips for small polygons [#298].

The x/y axis labels are derived from x/y aesthetics only [#333].

Merge 'theme' settings [#147].

Add axis tooltips for geom_bin2d.

Outlier tooltips for geom_ribbon().

Fix tooltip crosshair [#309].

Source code(tar.gz)
Source code(zip)
lets-plot-2.0.1.js(42.78 MB)
lets-plot-2.0.1.min.js(3.34 MB)
v2.0.1rc1(Mar 12, 2021)

Source code(tar.gz)
Source code(zip)
v2.0.0(Feb 9, 2021)
[2.0.0] - 2021-02-09

Added

Python 3.9 support on all platforms.

facet_wrap() function [#238]

In facets:

Ascending/descending ordering of faceting values.

Formatting of faceting values.

See: Facets demo

In tooltip customization API:

option color overrides the default tooltip color:
geom_xxx(tooltips=layer_tooltips().color('red'))

See: Tooltip Customization.

Crosshair cursor when tooltip is in fixed position specified by the anchor option.

Scale format parameter: formatting tick labels on X/Y axis. Supported types are number and date/time.

Example:

scale_x_datetime(format="%b %Y") scale_x_continuous(format='is {.2f}')

Demo: Formatting demo

See also: Formatting

Changed

[breaking change] New Geocoding API!

Since Lets-Plot v2.0.0 the peviouse Geocoding API is no longer working (hence we bumped the version to 2.0.0).

The old version of the Geocoding backend remains on-line for a couple of release cycles to continue support of prior versions of Lets-Plot.

To learn more about Geocoding API see: Geocoding.

The project upgraded to Kotlin v1.4.21 (was v1.4.10).

Fixed

Kernel density estimate computation is too slow.

Serialize NaN and other special values as None (CRITICAL for the "Lets-Plot in SciView" PyCharm plugin) [#282].

Error in plot building: 'trans' parameter not compatible with None values in data [#287].

LOESS smoothing fails on small (<3) number points.

Facet grid truncated in jupyter [#28].

The reverse parameter on discrete scale with 'limits' [#303].

Geocoder's allow_ambiguous() doesn't prevent "ValueError: Multiple objects.." [#174].

Fix tooltip for overlapping objects [#230].

Fix duplicate values in tooltip [#280].

geom_histogram should not try to handle geometries in GeoDataFrame [#281].

Error building plot: Layer 'MAP' is not supported on Live Map. [#285].

Align title to the left of the plot geom area [#289].

Tooltip on geom_ribbon().

Source code(tar.gz)
Source code(zip)

An open-source plotting library for statistical data.

Related tags

Overview

Lets-Plot

Lets-Plot for Python

JVM artifacts and Kotlin API

"Lets-Plot in SciView" plugin for IntelliJ IDEA and PyCharm

License

Comments

Releases(v3.0.0)

v3.0.0(Dec 15, 2022)

[3.0.0] - 2022-12-15

Added

Changed

Fixed

v3.0.0rc2(Dec 13, 2022)

v3.0.0rc1(Dec 8, 2022)

v2.5.1(Nov 3, 2022)

[2.5.1] - 2022-11-03

Added

Changed

Fixed

v2.5.1rc1(Nov 2, 2022)

v2.5.0(Sep 29, 2022)

[2.5.0] - 2022-09-29

Added

Changed

Fixed

v2.5.0rc1(Sep 19, 2022)

v2.4.0(Jun 20, 2022)

[2.4.0] - 2022-06-20

Added

Changed

Fixed

v2.4.0rc1(Jun 15, 2022)

v2.3.0(Mar 21, 2022)

[2.3.0] - 2022-03-21

Added

Changed

Fixed

v2.3.0rc2(Mar 16, 2022)

v2.3.0rc1(Mar 15, 2022)

v2.2.1(Dec 10, 2021)

[2.2.1] - 2021-12-10

Added

Fixed

v2.2.1rc1(Dec 6, 2021)

v2.2.0(Oct 29, 2021)

[2.2.0] - 2021-10-29

Added

Changed

Fixed

v2.2.0rc3(Oct 28, 2021)

v2.2.0rc2(Oct 26, 2021)

v2.2.0rc1(Oct 22, 2021)

v2.1.0(Aug 16, 2021)

[2.1.0] - 2021-08-16

Added

Changed

Fixed

v2.1.0rc1(Aug 12, 2021)

v2.0.5rc1(Aug 4, 2021)

v2.0.4(Jun 9, 2021)

[2.0.4] - 2021-06-09

Changed

Fixed

v2.0.3(Jun 2, 2021)

[2.0.3] - 2021-06-02

Added

Changed

Fixed

v2.0.3rc2(May 28, 2021)

v2.0.3rc1(May 26, 2021)

v2.0.2(Apr 14, 2021)

[2.0.2] - 2021-04-13

Changed

v2.0.2rc1(Apr 12, 2021)

v2.0.1(Mar 17, 2021)

[2.0.1] - 2021-03-17

Added