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David Brazda
2024-06-26 14:50:07 +02:00
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README.md
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@ -5,7 +5,7 @@ Fork of lightweight-charts with enhancements and supporting proprietary workflow
* as inputs it supports df,pd.series or vectorbtpro indicator object (including unpacking multi outputs) for set() method * as inputs it supports df,pd.series or vectorbtpro indicator object (including unpacking multi outputs) for set() method
* new markers_set method allowing to set pd.series or dataframe as markers input * new markers_set method allowing to set pd.series or dataframe as markers input
* supports simple df/sr accessors `close.lw.plot()` for quick visualization of single panel chart * supports simple df/sr accessors `close.lw.plot()` for quick visualization of single panel chart
* supports `ch = chart([pane1, pane2], sync=True, title="Title", size="m")` to quickly display chart with N panes (`Panels`). * supports `ch = chart([pane1, pane2], sync=True, title="Title", size="m")` to quickly display chart with N panes (`Panels`). Also supports syncing the Panels `sync=True` or using xloc.
* *
<img width="1005" alt="image" src="https://github.com/drew2323/lightweight-charts-python/assets/28433232/856c32aa-e0ff-4de0-b4a2-befc34adb571"> <img width="1005" alt="image" src="https://github.com/drew2323/lightweight-charts-python/assets/28433232/856c32aa-e0ff-4de0-b4a2-befc34adb571">
@ -15,7 +15,18 @@ Fork of lightweight-charts with enhancements and supporting proprietary workflow
```python ```python
from lightweight_charts import chart, Panel from lightweight_charts import chart, Panel
# Example usage #one liner, displays close series as line on single Panel
close.lw.plot()
#quick few liner, displays close series with label "close" on right pricescale and rsi on left price scale, all on single Panel
pane1 = Panel(
right=[(close, "close")],
left=[(rsi,"rsi")]
)
ch = chart([pane1])
# display two Panels
# on first displays ohlcv data, orderimbalance volume as histogram with opacity, bbands on the right pricescale and sma with short_signals and short_exits on the left pricescale
pane1 = Panel( pane1 = Panel(
ohlcv=(t1data.data["BAC"],), #(series, entries, exits, other_markers) ohlcv=(t1data.data["BAC"],), #(series, entries, exits, other_markers)
histogram=[(order_imbalance_allvolume, "oivol",None, 0.3)], # [(series, name, "rgba(53, 94, 59, 0.6)", opacity)] histogram=[(order_imbalance_allvolume, "oivol",None, 0.3)], # [(series, name, "rgba(53, 94, 59, 0.6)", opacity)]
@ -28,7 +39,7 @@ pane1 = Panel(
middle1=[], middle1=[],
middle2=[], middle2=[],
) )
#on second panel displays also ohlcv data, and sma on the left pricescale and histogram
pane2 = Panel( pane2 = Panel(
ohlcv=(t1data.data["BAC"],), ohlcv=(t1data.data["BAC"],),
right=[], right=[],
@ -38,16 +49,8 @@ pane2 = Panel(
histogram=[(order_imbalance_sma, "oisma")], histogram=[(order_imbalance_sma, "oisma")],
) )
ch = chart([pane1, pane2], sync=True, title="Title", size) #display both Panels, sync them and pick size, use xloc
ch = chart([pane1, pane2], sync=True, title="Title", size="l", xloc=slice("1-1-2024","1-2-2024")
#quick few liner
pane1 = Panel(
right=[(close, "close")],
)
ch = chart([pane1])
#one liner
close.lw.plot()
``` ```