Openpyxl is a Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files. It was born from lack of existing library to read/write natively from Python the Office Open XML format. All kudos to the PHPExcel team as openpyxl was initially based on PHPExcel. $ pip install openpyxl. Import openpyxl import pprint. Source: openpyxl_example.py.
Plan for dropping Python 2.7 The Python core team plans to stop supporting Python 2.7 on January 1st, 2020. In line with, all pandas releases through December 31, 2018 will support Python 2. The final release before December 31, 2018 will be the last release to support Python 2.
The released package will continue to be available on PyPI and through conda. Starting January 1, 2019, all releases will be Python 3 only. If there are people interested in continued support for Python 2.7 past December 31, 2018 (either backporting bugfixes or funding) please reach out to the maintainers on the issue tracker. For more information, see the and the.
Installing with Anaconda Installing pandas and the rest of the and stack can be a little difficult for inexperienced users. The simplest way to install not only pandas, but Python and the most popular packages that make up the stack (, ) is with, a cross-platform (Linux, Mac OS X, Windows) Python distribution for data analytics and scientific computing. After running the installer, the user will have access to pandas and the rest of the stack without needing to install anything else, and without needing to wait for any software to be compiled.
Installation instructions for. A full list of the packages available as part of the distribution. Another advantage to installing Anaconda is that you don’t need admin rights to install it. Anaconda can install in the user’s home directory, which makes it trivial to delete Anaconda if you decide (just delete that folder). Installing with Miniconda The previous section outlined how to get pandas installed as part of the distribution. However this approach means you will install well over one hundred packages and involves downloading the installer which is a few hundred megabytes in size. If you want to have more control on which packages, or have a limited internet bandwidth, then installing pandas with may be a better solution.
Is the package manager that the distribution is built upon. It is a package manager that is both cross-platform and language agnostic (it can play a similar role to a pip and virtualenv combination). Allows you to create a minimal self contained Python installation, and then use the command to install additional packages. First you will need to be installed and downloading and running the will do this for you. The installer The next step is to create a new conda environment. A conda environment is like a virtualenv that allows you to specify a specific version of Python and set of libraries. Run the following commands from a terminal window.
Installing using your Linux distribution’s package manager. The commands in this table will install pandas for Python 3 from your distribution. To install pandas for Python 2, you may need to use the python-pandas package.
Distribution Status Download / Repository Link Install method Debian stable sudo apt-get install python3-pandas Debian & Ubuntu unstable (latest packages) sudo apt-get install python3-pandas Ubuntu stable sudo apt-get install python3-pandas OpenSuse stable zypper in python3-pandas Fedora stable dnf install python3-pandas Centos/RHEL stable yum install python3-pandas However, the packages in the linux package managers are often a few versions behind, so to get the newest version of pandas, it’s recommended to install using the pip or conda methods described above. import pandas as pd pd. Test running: pytest -skip-slow -skip-network C: Users TP Anaconda3 envs py36 lib site-packages pandas test session starts platform win32 - Python 3.6.2, pytest-3.2.1, py-1.4.34, pluggy-0.4.0 rootdir: C: Users TP Documents Python pandasdev pandas, inifile: setup.cfg collected 12145 items / 3 skipped.S.S.
12130 passed, 12 skipped in 368.339 seconds. Optional Dependencies.: Only necessary to build development version. Version 0.24 or higher.: miscellaneous statistical functions, Version 0.14.0 or higher.: pandas like handling for 2 dims, needed for converting Panels to xarray objects. Version 0.7.0 or higher is recommended.: necessary for HDF5-based storage. Version 3.0.0 or higher required, Version 3.2.1 or higher highly recommended.: necessary for feather-based storage, version 0.3.1 or higher., either (= 0.4.1) or (= 0.0.6) for parquet-based storage.
The and are available for compression support.: for SQL database support. Version 0.8.1 or higher recommended. Besides SQLAlchemy, you also need a database specific driver. You can find an overview of supported drivers for each SQL dialect in the. Some common drivers are:.: for PostgreSQL.: for MySQL.: for SQLite, this is included in Python’s standard library by default.: for plotting, Version 1.4.3 or higher. For Excel I/O:.: Excel reading (xlrd) and writing (xlwt).: openpyxl version 2.4.0 for writing.xlsx files (xlrd = 0.9.0).: Alternative Excel writer.: Template engine for conditional HTML formatting.: necessary for Amazon S3 access (s3fs = 0.0.7).: for msgpack compression using blosc.
One of (requires PyQt or PySide), or: necessary to use. Most package managers on Linux distributions will have xclip and/or xsel immediately available for installation.: for Google BigQuery I/O.: Only for Python 2, for writing to and/or reading from an xz compressed DataFrame in CSV; Python 3 support is built into the standard library. One of the following combinations of libraries is needed to use the top-level function.
There is a confusion among QGIS, ArcGIS (or GRASS GIS, or.) users. These programs use Python for scripting but they are not Python.
For example, QGIS uses Python in the console with the Python module qgis and plugins written in Python. But is a widely used high-level, general-purpose, interpreted, dynamic programming language (nothing to do with QGIS, ArcGIS, GRASS GIS.) If you want to install a Python package/library/module ( for example), you install it with Python and not with QGIS and I think it is not the purpose of GIS Stack Exchange to explain it. There are countless courses, tutorials on the Web, many many books.