static-frame
pandastable
static-frame | pandastable | |
---|---|---|
8 | 3 | |
439 | 632 | |
2.1% | - | |
9.8 | 5.7 | |
14 days ago | 7 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
static-frame
- Static-frame: Immutable/statically-typed DataFrames with runtime type validation
-
Type-Hinting DataFrames for Static Analysis and Runtime Validation
This is inadequate, as it ignores the types contained within the container. A DataFrame might have string column labels and three columns of integer, string, and floating-point values; these characteristics define the type. A function argument with such type hints provides developers, static analyzers, and runtime checkers with all the information needed to understand the expectations of the interface. StaticFrame 2 now permits this:
-
Memoizing DataFrame Functions: Using Hashable DataFrames and Message Digests to Optimize Repeated Calculations
StaticFrame is an alternative DataFrame library that offers efficient solutions to this problem, both for in-memory and disk-based memoization.
-
The Performance Advantage of No-Copy DataFrame Operations
A NumPy array is a Python object that stores data in a contiguous C-array buffer. The excellent performance of these arrays comes not only from this compact representation, but also from the ability of arrays to share "views" of that buffer among many arrays. NumPy makes frequent use of "no-copy" array operations, producing derived arrays without copying underling data buffers. By taking full advantage of NumPy's efficiency, the StaticFrame DataFrame library offers orders-of-magnitude better performance than Pandas for many common operations.
-
Which not so well known Python packages do you like to use on a regular basis and why?
static-frame. An immutable alternative to pandas.
-
One Fill Value Is Not Enough: Preserving Columnar Types When Reindexing DataFrames
StaticFrame is an immutable DataFrame library that offers solutions to such problems. In StaticFrame, alternative fill value representations can be used to preserve columnar types in reindexing, shifting, and many other operations that require fill_value arguments. For operations on heterogeneously typed columnar data, one fill value is simply not enough.
- static-frame: Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.
-
Bug Sur 11.4 stuttering issues on RX 6800
For me, one example of high cpu usage is when i visit links like this one (https://github.com/InvestmentSystems/static-frame/blob/master/static_frame/performance/core.py) on GitHub. Safari is extremely laggy when i do nothing more than just scrolling around. Do you have sth like this?
pandastable
- interactive table on gui
-
Interactive/dynamic way to extract cells values from dataset
If you're looking to implement a GUI of some sort, make sure you're not reinventing the wheel. PandasTable should be able to do exactly what you're looking for.
- Best python library for a GUI that closely uses Pandas DataFrames?
What are some alternatives?
pandas-ta - Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
tkintertable - A pure Python library for adding tables to a Tkinter application
python-lenses - A python lens library for manipulating deeply nested immutable structures
PandasGUI - A GUI for Pandas DataFrames
bidict - The bidirectional mapping library for Python.
dtale - Visualizer for pandas data structures
bambi - BAyesian Model-Building Interface (Bambi) in Python.
tablexplore - Table analysis and plotting application written in PySide2/PyQt5
rubygems - Library packaging and distribution for Ruby.
eland - Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
mpire - A Python package for easy multiprocessing, but faster than multiprocessing
streamlit - Streamlit — A faster way to build and share data apps.