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For this bar chart (based on a pandasSeries), the xticks get crowded, as some of them are quite long.
When the same series is plotted using Bokeh and Plot.ly, the ticks are displayed down at an angle (perhaps these libraries detect the long names and re-orient accordingly)?
With matplotlib and pandas, the names get displayed vertically.
In each of the above cases, the crowding is avoided. In chart.add_serie(), I don't see an option to re-orient. Is this supported in the API? If not, how can I work around this issue?
<img @src="http://imgur.com/xHJ1gfn">
The text was updated successfully, but these errors were encountered:
nvd3 offers a few options for this, some of which are configurable through this library. This library already has the xAxis_rotateLabel option which might offer what you need. You can also configure reduceXTicks in nvd3 and I'll see if I can add support for this and put up a PR this weekend (I am not sure how quickly PRs are reviewed for this library).
For this bar chart (based on a pandas
Series
), the xticks get crowded, as some of them are quite long.When the same series is plotted using Bokeh and Plot.ly, the ticks are displayed down at an angle (perhaps these libraries detect the long names and re-orient accordingly)?
With matplotlib and pandas, the names get displayed vertically.
In each of the above cases, the crowding is avoided. In
chart.add_serie()
, I don't see an option to re-orient. Is this supported in the API? If not, how can I work around this issue?<img @src="http://imgur.com/xHJ1gfn">
The text was updated successfully, but these errors were encountered: