litecharts

Warning: This library is in alpha. The API may change unexpectedly between versions.

Thin Python wrapper for TradingView Lightweight Charts. Documentation

Installation

pip install litecharts

Quick Start

from litecharts import createChart, CandlestickSeries

# Create a chart
chart = createChart({"width": 800, "height": 600})

# Add a candlestick series
candles = chart.addSeries(CandlestickSeries)
candles.setData([
    {"time": 1609459200, "open": 100, "high": 105, "low": 95, "close": 102},
    {"time": 1609545600, "open": 102, "high": 110, "low": 100, "close": 108},
    {"time": 1609632000, "open": 108, "high": 115, "low": 105, "close": 112},
])

# Display the chart
chart.show()  # Auto-detects Jupyter or opens browser

Features

• Candlestick, Line, Area, Bar, Histogram, and Baseline series
• Multi-pane layouts with synced time scales
• Pandas DataFrame and NumPy array support
• Jupyter notebook integration
• Self-contained HTML output

Data Input

Accepts multiple formats:

# List of dicts
candles.setData([{"time": 1609459200, "open": 100, "high": 105, "low": 95, "close": 102}])

# Pandas DataFrame
import pandas as pd
df = pd.DataFrame({"open": [100], "high": [105], "low": [95], "close": [102]},
                  index=pd.to_datetime(["2021-01-01"]))
candles.setData(df)

# NumPy array (columns: time, open, high, low, close)
import numpy as np
arr = np.array([[1609459200, 100, 105, 95, 102]])
candles.setData(arr)

Multi-Pane Charts

from litecharts import createChart, CandlestickSeries, HistogramSeries

chart = createChart({"width": 800, "height": 600})

# Main pane
mainPane = chart.addPane({"stretchFactor": 3})
candles = mainPane.addSeries(CandlestickSeries)
candles.setData(ohlcData)

# Volume pane
volumePane = chart.addPane({"stretchFactor": 1})
volume = volumePane.addSeries(HistogramSeries)
volume.setData(volumeData)

chart.show()

License

MIT - see LICENSE

This package bundles Lightweight Charts by TradingView, Inc., licensed under Apache 2.0. See THIRD_PARTY_LICENSES.md.