[BUG] Black Window running live_data.py; "unexpected token '.' "

[Coding4Sec]

Expected Behavior

Hi.

Discovered the library and want to re-create the provided examples on my machine. First tried to run example "2_live_data" within JupyterLab.

Current Behaviour

The example does not work. A black windoww pops up. Then switched to Python script. Same behavior. Got the message:

if (!window.wzdcbbmu.chart.priceScale("right").options.autoScale) window.wzdcbbmu.chart.priceScale("right").applyOptions({autoScale: true}) window.wzdcbbmu.toolBox?.clearDrawings()', error -> SyntaxError[4:33] Unexpected token '.'

hitting CTRL-C:

File "/Users/T800/venvs/Py3_12/lightw-charts/tutorial.py", line 28, in <module> sleep(1) KeyboardInterrupt

Again hitting CTRL-C:

T800s-MacBook-Pro-5:lightw-charts T800$ /usr/local/Cellar/python@3.12/3.12.1_1/Frameworks/Python.framework/Versions/3.12/lib/python3.12/multiprocessing/resource_tracker.py:254: UserWarning: resource_tracker: There appear to be 14 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d '

It needs a 3rd Ctrl-C to get back to console.

I searched the ISSUES but only found solutions to similar issues by updating the library since hotfixes are released. Since I am on the latest version, I wonder what causes this behavior.

The very simple example 'setting_data.py' gives the same issue within python script. But I managed to run this simple script in JupyterLab using

if name == 'main':

chart = JupyterChart()

# Columns: time | open | high | low | close | volume 
df = pd.read_csv('ohlcv.csv')
chart.set(df)
chart.load()

Reproducible Example

import pandas as pd
from time import sleep
from lightweight_charts import Chart

# from lightweight_charts import JupyterChart

if __name__ == '__main__':
    chart = Chart()
    #chart = JupyterChart()
    df1 = pd.read_csv('ohlcv.csv')
    df2 = pd.read_csv('next_ohlcv.csv')
    chart.set(df1)

    chart.show()
    #chart.show(block=True)

    #chart.load()

    last_close = df1.iloc[-1]
    for i,series in df2.iterrows():
        chart.update(series)
        
        if series['close'] > 20 and last_close < 20:
            chart.marker(text='The price crossed $20 !!!')

        last_close = series['close']
        
        sleep(0.1)

Environment

- OS:macOS 10.14.6
- Library: lightweight-charts        2.0.1