Legend group

[EsIstJosh]

Add functionality to group lines under a single legend item, following example shown by @esteban2006 in
issue louisnw01#452 : (louisnw01#452 (comment))

`import pandas as pd
import lightweight_charts_
import time

if name == 'main':
# Load OHLCV data
df = pd.read_csv('./ohlcv.csv')

# Calculate SMAs using rolling method
df['line1'] = df['close'].rolling(window=10, min_periods=1).mean()
df['line2'] = df['close'].rolling(window=20, min_periods=1).mean()
df['line3'] = df['close'].rolling(window=30, min_periods=1).mean()

chart = lightweight_charts.Chart(inner_width=1, inner_height=1, position='left', debug=True)
chart.legend(True,font_size=12)


# Prepare SMA data for MultiLine
# Correct way to create the DataFrames for each SMA
data1 = pd.DataFrame({'time': df['time'], 'line1':  df['line1']})
data2 = pd.DataFrame({'time': df['time'], 'line2':  df['line2']})
data3 = pd.DataFrame({'time': df['time'], 'line3':  df['line3']})

# Create MultiLine instance and set initial SMA data
line1 = chart.create_line('line1',color='#ff0000',group='Group')
line2 = chart.create_line('line2',color='#acfb00',group='Group')
line3 = chart.create_line('line3',color='#ffffff')


line1.set(data1)
line2.set(data2) 
line3.set(data3)
# Display the chart
chart.show(block=True)

`

[esteban2006]

Hi there @EsIstJosh thank you for the effort, I have seen your post a bit late but from the screenshot above, that was a very nice approach to combine a solution for both necesities, grouping and one name for multiple lines. thank you!

Now I still belive that having a way to group names for indicators such BB, super trend and which a user could individually manipulate values and other settings from the chart would be awesome,

keep up the good work, guys!