[Python] Pandas, Numpy, Sparse, Matplotlib, Spicy 설치

pip 설치

• 설치

pip install pandas

pip install numpy

pip install sparse

pip install matplotlib

pip install spicy

• 버젼 확인

pip show pandas

Name: pandas
Version: 1.4.1
Summary: Powerful data structures for data analysis, time series, and statistics
Home-page: https://pandas.pydata.org
Author: The Pandas Development Team
Author-email: pandas-dev@python.org
License: BSD-3-Clause
Location: /Users/euijinpang/.pyenv/versions/3.9.6/lib/python3.9/site-packages
Requires: numpy, python-dateutil, pytz
Required-by:

pip show numpy

Name: numpy
Version: 1.21.4
Summary: NumPy is the fundamental package for array computing with Python.
Home-page: https://www.numpy.org
Author: Travis E. Oliphant et al.
Author-email:
License: BSD
Location: /Users/euijinpang/.pyenv/versions/3.9.6/lib/python3.9/site-packages
Requires:
Required-by: pandas

pip show sparse

Name: sparse
Version: 0.13.0
Summary: Sparse n-dimensional arrays
Home-page: https://github.com/pydata/sparse/
Author:
Author-email:
License: BSD 3-Clause License (Revised)
Location: /Users/euijinpang/.pyenv/versions/3.9.6/lib/python3.9/site-packages
Requires: numba, numpy, scipy
Required-by:

pip show matplotlib

Name: matplotlib
Version: 3.5.1
Summary: Python plotting package
Home-page: https://matplotlib.org
Author: John D. Hunter, Michael Droettboom
Author-email: matplotlib-users@python.org
License: PSF
Location: /Users/euijinpang/.pyenv/versions/3.9.6/lib/python3.9/site-packages
Requires: cycler, fonttools, kiwisolver, numpy, packaging, pillow, pyparsing, python-dateutil
Required-by: