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Pandas Installation

Pandas Installation Guide

The simplest way to install Pandas is to install it as part of the Anaconda distribution, which is a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.
Also provided with installation instructions from source, PyPI, ActivePython, various Linux distributions or development versions.

www.python.org3version support

The Python core team plans to support2020 years1month1the day stops supporting Python 2.7.2018year12month31the final version before the day will support Python 2the last version.
from 2019year1month1Starting from the day, all Pandas versions only support Python 3.

Install Pandas

Install via Anaconda

For new beginners without experience, installing Pandas and other toolkits like NumPy and SciPy may be a bit difficult.

The simplest way is not to install Pandas directly, but to install Python and the most popular toolkits that make up the SciPy data science technology stack ( IPython, NumPy, Matplotlib, ...) collection AnacondaIt is a cross-platform (Linux, Mac OS X, Windows) Python distribution for data analysis and scientific computing.

After running the installer, users will be able to access any tools in the Pandas and SciPy toolkits without installing anything else or waiting for any software compilation, which is very convenient.
Can be installed through ActivePython HereFind Anacondainstallation instructions.
Can be installed through ActivePython HereFind as Anaconda distributionA complete list of some available software packages.
Another advantage of installing Anaconda is that it does not require administrator privileges. Anaconda can be installed in the user's home directory, and if you decide to remove Anaconda (simply delete the folder), it is very convenient.

Install via Miniconda

Installing Pandas as part of the Anaconda distribution requires installing over a hundred packages and involves downloading several hundred megabytes of installation programs.
If you only want to install the packages you need or have limited internet bandwidth, installing Pandas with Miniconda may be a better solution.
Condais AnacondaThe package manager based on the distribution. It is a cross-platform and language-independent package manager (it can act like a combination of pip and virtualenv).
MinicondaIt allows you to create the smallest Python installation package and then install other software packages using Conda commands.
First, you need to install CondaDownload and run MinicondaIt will help you do this. The installation program can be found here.
The next step is to create a new conda environment. A conda environment is like a virtualenv, which allows you to specify a specific version of Python and the third-party libraries you need. Run the following command in the terminal window:

 $ conda create -n name_of_my_env python

This will create a minimal environment that only installs Python. Place yourself in this environment (activate the environment):

 $ source activate name_of_my_env

The command on Windows is:

 $ activate name_of_my_env

最后一步是安装Pandas,可以使用以下命令完成:

 $ conda install Pandas

The final step is to install Pandas, you can use the following command to complete it:

 $ conda install Pandas2To install a specific version of Pandas:3

$ conda install Pandas=0.

 0.

To install other packages, such as IPython:

 $ conda install ipython

To install the complete Anaconda distribution:

 $ conda install anaconda

If you need a package that can be used with pip instead of conda, please install pip and then use pip to install these packages:

$ conda install pip $ pip install django
From PyPI installation All versions come with the pip tool.//pip is a Python package management tool that provides functions for searching, downloading, installing, and uninstalling Python packages. Currently if you are
www.python.org 2.7.9 + Download the latest version of the installation package, it is already equipped with this tool. 3.4+ Python
Or Python All versions come with the pip tool.//pip official website:/https:/You can use the following command to determine if it is installed:
pypi.org

project

 You can use the following command to determine if it is installed: --Before installing with pip, you need to check if pip is already installed, the specific command is as follows:2pip
 You can use the following command to determine if it is installed:3 --Before installing with pip, you need to check if pip is already installed, the specific command is as follows:3pip

version # Python

 .x version command//If you have not installed it yet, you can use the following method to install:/pip.py $ sudo python get-$ sudo python -$ curl https:-bootstrap.pypa.io-$ sudo python
 o get3 pip.py $ sudo python get-$ sudo python
Note:get3 pip.py

The version of Python used to run the installation script, pip is associated with that version, if it is Python 2.7Then execute the above command.3 Generally, pip corresponds to Python 3, pip

.x. It corresponds to Python

 After installing pip, you can use the following command to install:

$ pip install Pandas

Can be installed through ActivePython HereFind ActivePythonInstallation instructions for version. Version2.7And3.5 It includes pandas.

Install using the package manager of your Linux distribution

The commands in this table will install Python from your distribution 3Version of Pandas. To install Python 2Version of Pandas, you may need to use python-Pandas package

Distribution NameStatusDownload / Repository AddressInstallation Methods
Debianstableofficial Debian repositorysudo apt-get install
Debian & Ubuntuunstable (latest packages)NeuroDebian
Ubuntustableofficial Ubuntu repositorysudo apt-get install python3-Pandas
OpenSusestableOpenSuse Repositoryzypper in python3-Pandas
Fedorastableofficial Fedora repositorydnf install python3-Pandas
Centos/RHELstableEPEL repositoryyum install python3-Pandas
Note:Package managers in Linux are usually behind a few versions, so to get the latest version of Pandas, it is recommended to use the pip or conda method described above for installation.

Installation Verification

  $ pip install pandas
  $ python -i
  >>> pandaspd
 >>> df = pd.() 
 >>> print(df)
  Empty DataFrame
 Columns: []
 Index: []