fs-plot

fsplot is a Python library for lightweight visualization of financial market data using SVG. It provides functions to generate SVG charts, making it ideal for web and mobile applications that require efficient and compact chart rendering.

Installation

To install fsplot, you can use pip. Run the following command:

pip install fsplot

Use Case

fsplot is good for scenarios where you need SVG or lightweight chart visualization for static financial market data in web or mobile applications. Using SVG instead of a data visualization library will result in a chart that is extremely lightweight in both rendering and file size.

Example Use

Here are some examples of how to use fsplot:

Fetching Example Data

import pandas as pd
import yfinance as yf

# Set the start and end dates
start_date = "2024-01-01"
end_date = "2024-09-01"

# Fetch Bitcoin data from Yahoo Finance
bitcoin = yf.download('BTC-USD', start=start_date, end=end_date)

# Ensure that the index is a DatetimeIndex
bitcoin.index = pd.to_datetime(bitcoin.index)

# Resample the data to a 2-day frequency and aggregate OHLC values
bitcoin = bitcoin.resample('3D').agg({
    'Open': 'first',
    'High': 'max',
    'Low': 'min',
    'Close': 'last'
})[-60:]

Plotting a Line Chart

from fsplot import plot_line

# Prepare data for plotting
data = bitcoin["Close"][-60:]

# Generate and display the candlestick plot
svg = plot_line(data)

with open("line.svg", "w") as file:
    file.write(svg)

Output:

Plotting a Candlestick Chart

from fsplot import plot_candlestick

# Prepare data for plotting
data = {
    "Open": bitcoin["Open"],
    "High": bitcoin["High"],
    "Low": bitcoin["Low"],
    "Close": bitcoin["Close"]
}

# Generate and display the candlestick plot
svg = plot_candlestick(data)

with open("candlestick.svg", "w") as file:
    file.write(svg)

Output:

Plotting a Candlestick Chart with Trendline

from trendline import calculate_trendline
from fsplot import plot_candlestick_trendline

# Calculate trendline
trend_line = calculate_trendline(bitcoin)


# Prepare data for plotting
data = {
    "Open": bitcoin["Open"],
    "High": bitcoin["High"],
    "Low": bitcoin["Low"],
    "Close": bitcoin["Close"],
    "support_first_value": trend_line["support_first_value"],
    "support_gradient": trend_line["support_gradient"],
    "resistance_first_value": trend_line["resistance_first_value"],
    "resistance_gradient": trend_line["resistance_gradient"]
}

# Generate and display the candlestick plot
svg = plot_candlestick_trendline(data)

with open("candlestick_trendline.svg", "w") as file:
    file.write(svg)

Output: