Ivan Kupriyanov
Ivan Kupriyanov
Result should look like combination of `boxplot` and `errorbar`:
Make shape more user-friendly by allowing to use symbols instead of numbers. See matplotlib: https://matplotlib.org/3.1.1/api/markers_api.html
See sampling examples [here](https://github.com/JetBrains/datalore-plot/tree/master/docs/examples/jupyter-notebooks)
As docstring said None can be passed as lower/upper bound: > xlim : list > Limits (2 numbers) for the x axis. > 1st element defines lower limit, 2nd element...
Example: ``` data = { "alphabet": ["a","a","b","a","a","a","b","b","b","a","a","a"], "coeff": [ 0.9898989898989898, 0.98989898989899, 0.9871794871794872, 0.9916666666666667, 0.9882352941176471, 0.9947368421052631, 0.9916666666666667, 0.9882352941176471, 0.9947368421052631, 0.9916666666666667, 0.9882352941176471, 0.9947368421052631 ] } ggplot(data) + geom_boxplot(aes("alphabet", "coeff"), orientation="y") ``` Result:...
```python import numpy as np from lets_plot import * LetsPlot.setup_html() np.random.seed(42) data = {'x': np.random.randint(10, size=3000)} ggplot(data, aes(x='x', y='..sumpct..')) + geom_bar() ``` Output:  Would be great to see %...
Some of the plots don't look very appealing: ```python import numpy as np from lets_plot import * LetsPlot.setup_html() np.random.seed(43) data = { 'x': np.append(np.random.normal(0,1,1000), np.random.normal(3,1,500)), 'y': np.append(np.random.normal(0,1,1000), np.random.normal(3,1,500)) } ggplot(data,...
This tool may help with filtering and "brushing". See: https://observablehq.com/@d3/brushable-parallel-coordinates
Useful in some cases:  https://stackoverflow.com/questions/58525699/how-can-i-add-a-vertical-colour-gradient-to-a-ridgeplot-in-ggridges  https://stackoverflow.com/questions/27250542/how-to-make-gradient-color-filled-timeseries-plot-in-r