dwker/lightweight-charts-python
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

df and sr accessor enhancements

Browse Source
This commit is contained in:
David Brazda
2024-10-04 11:54:24 +02:00
parent 7986aa9195
commit c4356bef3a
10 changed files with 195 additions and 20 deletions
Download Patch File Download Diff File Expand all files Collapse all files

46
README.md
View File

@ -1,25 +1,49 @@
Fork of the original [lightweight-charts](louisnw01/lightweight-charts-python) with enhancements and supporting vectorbtpro workflow
* legends cookie matching line colors
* automatic colors picks if not provided
* support for left and mid price scales
* legend color matching each line color
* automatic color assignment if not provided
* support for multiple scales (right, left, middle1, middle2, histogram)
* accepts df,pd.series or vectorbtpro indicator object (including unpacking multi outputs)
* 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 `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.
* for quick display supports simple df/sr accessors `close.lw.plot()` for quick visualization of single panel chart
* df accessor unpacks dataframe columns and display them accordingly (ohlcv as ohlcv, vwap on the right, rsi on the left scale etc.)
* multipanes support `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">
It should be installed directly from this repository.
## Instalation
Directly from the repository
```pip install git+https://github.com/drew2323/lightweight-charts-python.git```
## Examples
```python
from lightweight_charts import chart, Panel
from lightweight_charts import chart, Panel, PlotSRAccessor, PlotDFAccessor
#one liner, displays close series as line on single Panel
close.lw.plot()
close_sr.lw.plot()
```
![alt text](image-2.png)
```python
close_sr.lw.plot(size="m") #on medium panesize
close_se.lw.plot(histogram=(trade_series, "trades")) #number of trades as histogram is displayed on top of that
```
![alt text](image-1.png)
```python
#one liner to display OHLCV
ohlcv_df.lw.plot() #if dataframe contains other columns they are displayed too - based on standard settings (rsi-on the left, vwap - right etc.)
```
![alt text](image-3.png)
```python
ohlcv_df.lw.plot(left=[(angle_series, "angle_momentum")]) #Another line is displayed on top of OHLCV on left scale
```
![alt text](image-4.png)
```python
ohlcv_complex_df.lw.plot() #df containing ohlcv and other columns
```
![alt text](image-5.png)
```python
#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")],
@ -53,7 +77,7 @@ pane2 = Panel(
)
#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")
ch = chart([pane1, pane2], sync=True, title="Title", size="l", xloc=slice("1-1-2024","1-2-2024"))
```
@ -88,7 +112,7 @@ ch = chart([pane1], title="Chart with EntryShort/ExitShort (yellow) and EntryLon
<div align="center">
# lightweight-charts-python
# lightweight-charts-python - forked from
[![PyPi Release](https://img.shields.io/pypi/v/lightweight-charts?color=32a852&label=PyPi)](https://pypi.org/project/lightweight-charts/)
[![Made with Python](https://img.shields.io/badge/Python-3.8+-c7a002?logo=python&logoColor=white)](https://python.org "Go to Python homepage")