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Usually, the DataFrames have the "time" in the index. This means we always have to do something like:
df.reset_index().rename(columns={"Date": "time", "Open": 'open', "High": 'high', "Low": 'low', "Close": 'close'}),
I think some heuristics could help:
Something similar should be used for the marks, i.e. use the first 4 columns for candles and the first one for a line.
At least as a user I should be able to conveniently declare my column names/index which should be used I think.
Nevertheless, I think using lightweight charts with python (notebooks) will greatly improve financial plots over mplf, plotly and others.
The text was updated successfully, but these errors were encountered:
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Usually, the DataFrames have the "time" in the index. This means we always have to do something like:
I think some heuristics could help:
Something similar should be used for the marks, i.e. use the first 4 columns for candles and the first one for a line.
At least as a user I should be able to conveniently declare my column names/index which should be used I think.
Nevertheless, I think using lightweight charts with python (notebooks) will greatly improve financial plots over mplf, plotly and others.
The text was updated successfully, but these errors were encountered: