kandi has reviewed pandas and discovered the below as its top functions. This is intended to give you an instant insight into pandas implemented functionality, and help decide if they suit your requirements.
Easy handling of missing data (represented as NaN, NA, or NaT) in floating point as well as non-floating point data
Size mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects
Automatic and explicit data alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let Series, DataFrame, etc. automatically align the data for you in computations
Powerful, flexible group by functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
Make it easy to convert ragged, differently-indexed data in other Python and NumPy data structures into DataFrame objects
Intelligent label-based slicing, fancy indexing, and subsetting of large data sets
Intuitive merging and joining data sets
Flexible reshaping and pivoting of data sets
Hierarchical labeling of axes (possible to have multiple labels per tick)
Robust IO tools for loading data from flat files (CSV and delimited), Excel files, databases, and saving/loading data from the ultrafast HDF5 format
Time series-specific functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging
Where to get it
# conda conda install pandas
Installing scipy and scikit-learn on apple m1Asked 2022-Mar-22 at 06:21
The installation on the m1 chip for the following packages: Numpy 1.21.1, pandas 1.3.0, torch 1.9.0 and a few other ones works fine for me. They also seem to work properly while testing them. However when I try to install scipy or scikit-learn via pip this error appears:
ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy which use PEP 517 and cannot be installed directly
Why should Numpy be build again when I have the latest version from pip already installed?
Every previous installation was done using
python3.9 -m pip install ... on Mac OS 11.3.1 with the apple m1 chip.
Maybe somebody knows how to deal with this error or if its just a matter of time.
ANSWERAnswered 2021-Aug-02 at 14:33
Please see this note of
The recently introduced
macos/arm64platform (sometimes also known as
macos/aarch64) requires the open source community to upgrade the build configuation and automation to properly support it.
At the time of writing (January 2021), the only way to get a working installation of scikit-learn on this hardware is to install scikit-learn and its dependencies from the conda-forge distribution, for instance using the miniforge installers:
The following issue tracks progress on making it possible to install scikit-learn from PyPI with pip:
No vulnerabilities reported