Igor Alshannikov

``` from datetime import datetime, timedelta, timezone import numpy as np import pandas as pd from lets_plot import * LetsPlot.setup_html() def squiggle(x): return np.sin(3*x) / (x * (np.cos(x) + 2))...

Add `ggdeck()` for overlaying two on more plots

2

The overlayed plots should have their drawing areas perfectly aligned and should be able to share one or both axis. This would probably provide a more elegant solution than implementing...

"visually appealing, intuitive, practical and good for presentations" : [see discussion](https://github.com/JetBrains/lets-plot/discussions/952#discussioncomment-12957564) Some references: - https://python-graph-gallery.com/waffle-chart/ - https://www.ddanieltan.com/posts/30-day-chart-4/#composition-with-gggrid

May help with #1100

Currently, lets-plot assumes UTC time-zone when formatting time instant. Nice to have an option to specify TZ manually or tell LP to use the system time-zone. See discussion: https://github.com/JetBrains/lets-plot-kotlin/discussions/92#discussioncomment-12976040

Currently Lets-plot Kotlin notebook integration stores the rendered SVG in the notebook. This has the benefit of showing the output at Github. The size of notebook however in some cases...

Currently the output looks like this: ``` SpatialDataset(GEOJSON, key='geometry', map={name=[Kronstadt Naval Cathedral, Kronstadt History Museum, Kronstadt Naval Museum, City Russian Cemetery, Kronstadt Lutheran Cemetery, Vladimir Church], type=[church, museum, museum, cemetery,...

datetime scale: add date_breaks, date_minor_breaks options

1

A string giving the distance between breaks/minor breaks like "2 weeks"

Add 'synchronized tooltips' feature

1

Allow tooltips to display for all series when hovering over one. See discussion: https://github.com/JetBrains/lets-plot/discussions/1412#discussioncomment-14748042

See discussion: https://github.com/JetBrains/lets-plot/discussions/1412#discussioncomment-14740784