MetPy
MetPy copied to clipboard
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
Bumps [pydata-sphinx-theme](https://github.com/pydata/pydata-sphinx-theme) from 0.15.2 to 0.15.3. Release notes Sourced from pydata-sphinx-theme's releases. v0.15.3 What's Changed FIX make theme switcher have consistent widths by @Charlie-XIAO in pydata/pydata-sphinx-theme#1651 unpin sphinx in CI...
### What went wrong? CAPE formula: $\text{CAPE} = -R_d \int_{LFC}^{EL} (T_{{v}_{parcel}} - T_{{v}_{env}}) d\text{ln}(p)$ And in the code: # Difference between the parcel path and measured temperature profiles y =...
Bumps [sphinx-design](https://github.com/executablebooks/sphinx-design) from 0.5.0 to 0.6.0. Release notes Sourced from sphinx-design's releases. v0.6.0 What's Changed Dependencies ⬆️ Python v3.9-3.12 by @chrisjsewell in executablebooks/sphinx-design#186 ⬆️ Octicon icons to v19.8.0 by @ffvpor...
### What can be better? Hi everyone! The current README for the tutorial section lacks detailed information that will help users understand and utilize the tutorials effectively. To improve the...
### What went wrong? Hi, Since MetPy 1.6, plotting fronts is very easy: https://unidata.github.io/MetPy/latest/examples/plots/Plotting_Surface_Analysis.html https://www.unidata.ucar.edu/blogs/developer/entry/metpy-mondays-287-parsing-weather And parsing the WPC surface bulletins is also easy, with the [parse_wpc_surface_bulletin](https://github.com/Unidata/MetPy/blob/v1.6.2/src/metpy/io/text.py#L70-L143) call. When this...
#### Description Of Changes To improve the MetPy project, I updated the current README file for the tutorials. The goal was to provide clearer guidance and structure for users, making...
Bumps [matplotlib](https://github.com/matplotlib/matplotlib) from 3.8.4 to 3.9.0. Release notes Sourced from matplotlib's releases. REL: 3.9.0 Highlights of this release include: Plotting and Annotation improvements Axes.inset_axes is no longer experimental Legend support...
### What should we add? I've been developing an application that works with gridded data. The `metpy.calc.thermo` module has been a great guide for my work thus far. My `moist_lapse`...
#### Description Of Changes Add a unit-aware cumulative integration function. Won't be as fast as the xarray cumulative integration function, but I'll be less likely to forget the units. ####...
## What should we add? Hello! Creating color curves in Python can be rather cumbersome, and often use AWIPS 2 at work to visualize meteorological data. I wrote a short...