Daniel Goldfarb

Results 331 comments of Daniel Goldfarb

I am currently working on an enhancement to allow users to modify tick placement and tick labels along the x-axis. It will be some time (maybe another month or two)...

Yes, `get_loc()`; thanks for noticing the typo. Yes, for this method to work, each of the tick times generated by ```python ticks = pd.date_range('2021-08-02 09:30:00','2021-08-02 15:55:00',freq='30T') ``` have to be...

@alvarozamora It looks like you replied to the GitHub notification email. Apparently that does not work correctly. They have a bug and don't know if/when it will be fixed. I'm...

@daovn can you post example code, and example plot image, so I can better understand? If possible show both with and without `y_on_right`. thanks.

Fabio, Coloring candles individually is not directly supported in mplfinance. It would be greatly appreciated if you are interested in contributing this enhancement. The approach that comes to mind would...

@AurumnPegasus Shivansh, Thank you for your offer to contribute! Definitely okay! Here are my initial thoughts on the enhancement; let me know what you think: - As mentioned [above](https://github.com/matplotlib/mplfinance/issues/378#issuecomment-821918248) my...

> As far as I have understood, marketcolor object is essentially a dictionary which contains required parameters. I do not understand the need of creating a list of objects as...

@brcake Take a look at the [**market color overrides tutorial**](https://github.com/matplotlib/mplfinance/blob/master/examples/marketcolor_overrides.ipynb). Presently you can store the market colors as a column in your dataframe, however that column will be ignored except...

Reasonable request. Working on a another enhancement presently (that is non-trivial and ultimately will make this, and similar enhancements easier to implement) so maybe in a couple months will get...

By the way, regaring [**your chart here**](https://user-images.githubusercontent.com/11569991/147372496-9720e12a-8cce-4478-9400-cea73ba1e8eb.png) ... looks great! I am curious to know; did you make use of [**the recent `marketcolor_overrides` enhancement**](https://nbviewer.ipython.org/github/matplotlib/mplfinance/blob/master/examples/marketcolor_overrides.ipynb), to obtain your candle colors, or...