pythonfix
mplfinance 0.12.10b0
Utilities for the visualization, and visual analysis, of financial data
Utilities for the visualization, and visual analysis, of financial data
Stars: 4291, Watchers: 4291, Forks: 668, Open Issues: 173The matplotlib/mplfinance repo was created 6 years ago and the last code push was 1 years ago.
The project is very popular with an impressive 4291 github stars!
How to Install mplfinance
You can install mplfinance using pip
pip install mplfinance
or add it to a project with poetry
poetry add mplfinance
Package Details
- Author
- MPL Developers
- License
- BSD-style
- Homepage
- http://github.com/matplotlib/mplfinance
- PyPi:
- https://pypi.org/project/mplfinance/
- GitHub Repo:
- https://github.com/matplotlib/mplfinance
Classifiers
- Office/Business/Financial
- Office/Business/Financial/Investment
- Scientific/Engineering/Information Analysis
- Scientific/Engineering/Visualization
Related Packages
Errors
A list of common mplfinance errors.
Code Examples
Here are some mplfinance code examples and snippets.
Related Packages & Articles
robin-stocks 3.4.0
A Python wrapper around the Robinhood API
tensortrade 1.0.4
TensorTrade: A reinforcement learning library for training, evaluating, and deploying robust trading agents.
finmarketpy 0.11.19
finmarketpy is a Python based library for backtesting trading strategies
QuantLib 1.41
Python bindings for the QuantLib library
pyfolio 0.9.2
pyfolio is a Python library for performance and risk analysis of financial portfolios
zipline 1.4.1
A backtester for financial algorithms.
Quandl 3.7.0
Package for quandl API access
Use pandas and matplotlib to produce a chart of natural gas prices
In this example Python code, we use requests to fetch data from the EIA.gov website and json from the Python standard library to parse the json data. Next, we load the daily prices into a Pandas DataFrame and format the date column and set it as the index. Finally, we use Pandas .plot() to create a chart saving it as a png image.
akshare 1.18.25
AKShare is an elegant and simple financial data interface library for Python, built for human beings!