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Hi @kernc, I found very cool this option you provide to visualize superimposed charts. I would like to know, if it is possible to accomplish other time frames combinations as well ? (1 min & 5 min / 3 min & 15 min / 5 min & 15 min). Even if I had to provide |
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Replies: 3 comments 4 replies
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You could, e.g., resample original Other than that, you could roll as many as you want of your own line indicators: ...
def resample(period, df):
return df.Open.resample(period).first(), df.Close.resample(period).last()
self.resampled15t = self.I(resample, '15T', self.data.df, overlay=True)
... |
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Hi @kernc, thanks for your reply. It seems to be working now. I just have a doubt.
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Hi @kernc, thanks again. During the zoom in transition using your website example with daily and monthly superimposed data, it appears good as below: When I try to zoom in my 3T / 15T chart, the transition appears like this: Although both of them works fine after finish zooming transition: I will try to change some lightness parameters just to see if works fine for my case. Thanks a lot for your help; |
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You could, e.g., resample original
df
to'3T'
(3 min) and passbt.plot(..., superimpose='15T')
?Other than that, you could roll as many as you want of your own line indicators: