Added
- `coord_flip()`.
See: [example notebook](https://nbviewer.jupyter.org/github/JetBrains/lets-plot/blob/master/docs/f-21-10/notebooks/coord_flip.ipynb).
- Date-time formatting support:
- tooltip format() should understand date-time format pattern [[387](https://github.com/JetBrains/lets-plot/issues/387)];
- scale_x_datetime should apply date-time formatting to the breaks [[392](https://github.com/JetBrains/lets-plot/issues/392)].
See: [example notebook](https://nbviewer.jupyter.org/github/JetBrains/lets-plot/blob/master/docs/f-21-10/notebooks/datetime_formatting.ipynb).
- 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 to the `theme()` function.
See: [example notebook](https://nbviewer.jupyter.org/github/JetBrains/lets-plot/blob/master/docs/f-21-10/notebooks/themes.ipynb).
> 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:
python
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](https://github.com/JetBrains/lets-plot/issues/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](https://github.com/JetBrains/lets-plot/issues/428)].
- Zoom without clipping breaks tooltips [[373](https://github.com/JetBrains/lets-plot/issues/373)].
- Unreadable breaks on axis [[430](https://github.com/JetBrains/lets-plot/issues/430)].
- Map rendering is broken when browser uses scaling [[450](https://github.com/JetBrains/lets-plot/issues/450)].
- corr_plot() error for data with zero variation [[329](https://github.com/JetBrains/lets-plot/issues/329)].
- Misleading error message [[271](https://github.com/JetBrains/lets-plot/issues/271)].