A Python package to make publication-ready but customizable forest plots (coefplots).
This package makes publication-ready forest plots easy to make out-of-the-box. Users provide a dataframe (e.g. from a spreadsheet) where rows correspond to a variable/study with columns including estimates, variable labels, and lower and upper confidence interval limits. Additional options allow easy addition of columns in the dataframe as annotations in the plot.
Features
- API to plot estimates and confidence intervals from upstream analyses
- Customizable
- Publication-ready plots
Follow forestplot
nel_h2
Simply solve complex auth. Easy for devs to set up. Easy for non-devs to use.
Custom auth drains 25% of dev time and risks 62% more breaches, stalling enterprise deals. Frontegg platform delivers a simple login box, seamless authentication (SSO, MFA, passwordless), robust multi-tenancy, and a customizable Admin Portal. Integrate fast with the React SDK, meet compliance needs, and focus on innovation.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of forestplot!