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Conda install pandas выдает ошибку

Actually, none of these answers worked for me in the following environment:

docker-compose # multiple containers, the managing one based on debian
Python 2.7
Django 1.8.19
numpy==1.11.3 # pinned to version, because of https://github.com/rbgirshick/py-faster-rcnn/issues/481

... more requirements

The following solution worked, after reading

https://github.com/pandas-dev/pandas/issues/18281

and

https://github.com/pandas-dev/pandas/issues/16715

which both addressed interim solutions and later recommended upgrading,

so I integrated into the Dockerfile

pip install -r requirements.txt 
&& pip install 
pandas==0.21.0 
--force-reinstall 
--upgrade 
--no-deps 
--no-cache 
--find-links https://3f23b170c54c2533c070-1c8a9b3114517dc5fe17b7c3f8c63a43.ssl.cf2.rackcdn.com/ 
--no-index

which is mentioned in https://github.com/pandas-dev/pandas/issues/16715#issuecomment-310063504

I tried all solutions mentioned here, except the accepted answer, also because a) I don’t want anaconda in a web production environment and b) it’s not a good answer to foster frameworks or cli-solutions for architectures, where a package is not used standalone…

Furthermore, I dislike @colo’s answer being downvoted, because it actually is a feasible solution in a certain environment.

For anyone finding this thread with similar requirements and expectations like me, I hope to have saved some minutes.

I am also facing same error.please suggest steps if your problem is resolved:

(dlnd) C:UsersDipan AryaDesktopudadlnd-your-first-networkDLND-your-first-n
etwork>conda install pandas
Fetching package metadata ………..
Solving package specifications: .

Package plan for installation in environment C:ProgramDataAnaconda3envsdlnd:

The following NEW packages will be INSTALLED:

mkl:             2017.0.1-0
numpy:           1.11.3-py36_0
pandas:          0.19.2-np111py36_1
python-dateutil: 2.6.0-py36_0
pytz:            2016.10-py36_0
six:             1.10.0-py36_0

Proceed ([y]/n)? y

An unexpected error has occurred.
Please consider posting the following information to the
conda GitHub issue tracker at:

https://github.com/conda/conda/issues

Current conda install:

           platform : win-32
      conda version : 4.3.11
   conda is private : False
  conda-env version : 4.3.11
conda-build version : not installed
     python version : 3.6.0.final.0
   requests version : 2.12.4
   root environment : C:ProgramDataAnaconda3  (writable)
default environment : C:ProgramDataAnaconda3envsdlnd
   envs directories : C:ProgramDataAnaconda3envs
                      C:UsersDipan AryaAppDataLocalcondacondaenvs
                      C:UsersDipan Arya.condaenvs
      package cache : C:ProgramDataAnaconda3pkgs
                      C:UsersDipan AryaAppDataLocalcondacondapkgs
       channel URLs : https://repo.continuum.io/pkgs/free/win-32
                      https://repo.continuum.io/pkgs/free/noarch
                      https://repo.continuum.io/pkgs/r/win-32
                      https://repo.continuum.io/pkgs/r/noarch
                      https://repo.continuum.io/pkgs/pro/win-32
                      https://repo.continuum.io/pkgs/pro/noarch
                      https://repo.continuum.io/pkgs/msys2/win-32
                      https://repo.continuum.io/pkgs/msys2/noarch
        config file : None
       offline mode : False
         user-agent : conda/4.3.11 requests/2.12.4 CPython/3.6.0 Windows/7 W

indows/6.1.7601

$ C:ProgramDataAnaconda3Scriptsconda-script.py install pandas

Traceback (most recent call last):
  File "C:ProgramDataAnaconda3libsite-packagescondaexceptions.py", lin

e 616, in conda_exception_handler
return_value = func(*args, **kwargs)
File «C:ProgramDataAnaconda3libsite-packagescondaclimain.py», line
137, in _main
exit_code = args.func(args, p)
File «C:ProgramDataAnaconda3libsite-packagescondaclimain_install.py
«, line 80, in execute
install(args, parser, ‘install’)
File «C:ProgramDataAnaconda3libsite-packagescondacliinstall.py», li
ne 359, in install
execute_actions(actions, index, verbose=not context.quiet)
File «C:ProgramDataAnaconda3libsite-packagescondaplan.py», line 825,
in execute_actions
execute_instructions(plan, index, verbose)
File «C:ProgramDataAnaconda3libsite-packagescondainstructions.py», l
ine 258, in execute_instructions
cmd(state, arg)
File «C:ProgramDataAnaconda3libsite-packagescondainstructions.py», l
ine 118, in UNLINKLINKTRANSACTION_CMD
txn = UnlinkLinkTransaction.create_from_dists(index, prefix, unlink_dist
s, link_dists)
File «C:ProgramDataAnaconda3libsite-packagescondacorelink.py», line
123, in create_from_dists
for dist, pkg_dir in zip(link_dists, pkg_dirs_to_link))
File «C:ProgramDataAnaconda3libsite-packagescondacorelink.py», line
123, in
for dist, pkg_dir in zip(link_dists, pkg_dirs_to_link))
File «C:ProgramDataAnaconda3libsite-packagescondagatewaysdiskread.
py», line 85, in read_package_info
index_json_record = read_index_json(extracted_package_directory)
File «C:ProgramDataAnaconda3libsite-packagescondagatewaysdiskread.
py», line 104, in read_index_json
with open(join(extracted_package_directory, ‘info’, ‘index.json’)) as fi
:
FileNotFoundError: [Errno 2] No such file or directory: ‘C:ProgramDataAn
aconda3pkgspandas-0.19.2-np111py36_1infoindex.json’

(dlnd) C:UsersDipan AryaDesktopudadlnd-your-first-networkDLND-your-first-n
etwork>

The error “ModuleNotFoundError: No module named pandas» is a common error experienced by data scientists when developing in Python. The error is likely an environment issue whereby the pandas package has not been installed correctly on your machine, thankfully there are a few simple steps to go through to troubleshoot the problem and find a solution.

Your error, whether in a Jupyter Notebook or in the terminal, probably looks like one of the following:

No module named 'pandas'
ModuleNotFoundError: No module named 'pandas'

In order to find the root cause of the problem we will go through the following potential fixes:

  1. Upgrade pip version
  2. Upgrade or install pandas package
  3. Check if you are activating the environment before running
  4. Create a fresh environment
  5. Upgrade or install Jupyer Notebook package

Are you installing packages using Conda or Pip package manager?

It is common for developers to use either Pip or Conda for their Python package management. It’s important to know what you are using before we continue with the fix.

If you have not explicitly installed and activated Conda, then you are almost definitely going to be using Pip. One sanity check is to run conda info in your terminal, which if it returns anything likely means you are using Conda.

Upgrade or install pip for Python

First things first, let’s check to see if we have the up to date version of pip installed. We can do this by running:

pip install --upgrade pip

Upgrade or install pandas package via Conda or Pip

The most common reason for this error is that the pandas package is not installed in your environment or an outdated version is installed. So let’s update the package or install it if it’s missing.

For Conda:

# To install in the root environment 
conda install -c anaconda pandas 

# To install in a specific environment 
conda install -n MY_ENV pandas

For Pip:‌

# To install in the root environment
python3 -m pip install -U pandas

# To install in a specific environment
source MY_ENV/bin/activate
python3 -m pip install -U pandas

Activate Conda or venv Python environment

It is highly recommended that you use isolated environments when developing in Python. Because of this, one common mistake developers make is that they don’t activate the correct environment before they run the Python script or Jupyter Notebook. So, let’s make sure you have your correct environment running.

For Conda:

conda activate MY_ENV

For virtual environments:

source MY_ENV/bin/activate

Create a new Conda or venv Python environment with pandas installed

During the development process, a developer will likely install and update many different packages in their Python environment, which can over time cause conflicts and errors.

Therefore, one way to solve the module error for pandas is to simply create a new environment with only the packages that you require, removing all of the bloatware that has built up over time. This will provide you with a fresh start and should get rid of problems that installing other packages may have caused.

For Conda:

# Create the new environment with the desired packages
conda create -n MY_ENV python=3.9 pandas 

# Activate the new environment 
conda activate MY_ENV 

# Check to see if the packages you require are installed 
conda list

For virtual environments:

# Navigate to your project directory 
cd MY_PROJECT 

# Create the new environment in this directory 
python3 -m venv MY_ENV 

# Activate the environment 
source MY_ENV/bin/activate 

# Install pandas 
python3 -m pip install pandas

Upgrade Jupyter Notebook package in Conda or Pip

If you are working within a Jupyter Notebook and none of the above has worked for you, then it could be that your installation of Jupyter Notebooks is faulty in some way, so a reinstallation may be in order.

For Conda:

conda update jupyter

For Pip:

pip install -U jupyter

Best practices for managing Python packages and environments

Managing packages and environments in Python is notoriously problematic, but there are some best practices which should help you to avoid package the majority of problems in the future:

  1. Always use separate environments for your projects and avoid installing packages to your root environment
  2. Only install the packages you need for your project
  3. Pin your package versions in your project’s requirements file
  4. Make sure your package manager is kept up to date

References

Conda managing environments documentation
Python venv documentation

  • Редакция Кодкампа

17 авг. 2022 г.
читать 1 мин


Одна распространенная ошибка, с которой вы можете столкнуться при использовании Python:

no module named ' pandas '

Эта ошибка возникает, когда Python не обнаруживает библиотеку pandas в вашей текущей среде.

В этом руководстве представлены точные шаги, которые вы можете использовать для устранения этой ошибки.

Шаг 1: pip установить Pandas

Поскольку pandas не устанавливается автоматически вместе с Python, вам нужно будет установить его самостоятельно. Самый простой способ сделать это — использовать pip , менеджер пакетов для Python.

Вы можете запустить следующую команду pip для установки панд:

pip install pandas

В большинстве случаев это исправит ошибку.

Шаг 2: Установите пип

Если вы все еще получаете сообщение об ошибке, вам может потребоваться установить pip. Используйте эти шаги , чтобы сделать это.

Вы также можете использовать эти шаги для обновления pip до последней версии, чтобы убедиться, что он работает.

Затем вы можете запустить ту же команду pip, что и раньше, для установки pandas:

pip install pandas

На этом этапе ошибка должна быть устранена.

Шаг 3: Проверьте версии pandas и pip

Если вы все еще сталкиваетесь с ошибками, возможно, вы используете другую версию pandas и pip.

Вы можете использовать следующие команды, чтобы проверить, совпадают ли ваши версии pandas и pip:

which python
python --version
which pip

Если две версии не совпадают, вам нужно либо установить более старую версию pandas, либо обновить версию Python.

Шаг 4: Проверьте версию панд

После того, как вы успешно установили pandas, вы можете использовать следующую команду, чтобы отобразить версию pandas в вашей среде:

pip show pandas

Name: pandas
Version: 1.1.5
Summary: Powerful data structures for data analysis, time series, and statistics
Home-page: https://pandas.pydata.org
Author: None
Author-email: None
License: BSD
Location: /srv/conda/envs/notebook/lib/python3.6/site-packages
Requires: python-dateutil, pytz, numpy
Required-by: 
Note: you may need to restart the kernel to use updated packages.

Примечание. Самый простой способ избежать ошибок с версиями pandas и Python — просто установить Anaconda , набор инструментов, предустановленный вместе с Python и pandas и бесплатный для использования.

Дополнительные ресурсы

В следующих руководствах объясняется, как исправить другие распространенные проблемы в Python:

Как исправить: нет модуля с именем numpy
Как исправить: нет модуля с именем plotly
Как исправить: имя NameError ‘pd’ не определено
Как исправить: имя NameError ‘np’ не определено

When using Python, a common error you may encounter is modulenotfounderror: no module named ‘pandas’. This error occurs when Python cannot detect the Pandas library in your current environment. This tutorial goes through the exact steps to troubleshoot this error for the Windows, Mac and Linux operating systems.

Table of contents

  • ModuleNotFoundError: no module named ‘pandas’
    • What is ModuleNotFoundError?
    • What is Pandas?
    • How to Install Pandas on Windows Operating System
    • How to Install Pandas on Mac Operating System
    • How to Install Pandas on Linux Operating Systems
      • Installing pip for Ubuntu, Debian, and Linux Mint
      • Installing pip for CentOS 8 (and newer), Fedora, and Red Hat
      • Installing pip for CentOS 6 and 7, and older versions of Red Hat
      • Installing pip for Arch Linux and Manjaro
      • Installing pip for OpenSUSE
    • Check Pandas Version
    • Installing Pandas Using Anaconda
  • Summary

ModuleNotFoundError: no module named ‘pandas’

What is ModuleNotFoundError?

The ModuleNotFoundError occurs when the module you want to use is not present in your Python environment. There are several causes of the modulenotfounderror:

The module’s name is incorrect, in which case you have to check the name of the module you tried to import. Let’s try to import the re module with a double e to see what happens:

import ree
---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
1 import ree

ModuleNotFoundError: No module named 'ree'

To solve this error, ensure the module name is correct. Let’s look at the revised code:

import re

print(re.__version__)
2.2.1

You may want to import a local module file, but the module is not in the same directory. Let’s look at an example package with a script and a local module to import. Let’s look at the following steps to perform from your terminal:

mkdir example_package

cd example_package

mkdir folder_1

cd folder_1

vi module.py

Note that we are using Vim to create the module.py file in this example. You can use your preferred file editor, such as Emacs or Atom. In module.py, we will import the re module and define a simple function that prints the re version:

import re

def print_re_version():

    print(re.__version__)

Close the module.py, then complete the following commands from your terminal:

cd ../

vi script.py

Inside script.py, we will try to import the module we created.

import module

if __name__ == '__main__':

    mod.print_re_version()

Let’s run python script.py from the terminal to see what happens:

Traceback (most recent call last):
  File "script.py", line 1, in <module>
    import module
ModuleNotFoundError: No module named 'module'

To solve this error, we need to point to the correct path to module.py, which is inside folder_1. Let’s look at the revised code:

import folder_1.module as mod

if __name__ == '__main__':

    mod.print_re_version()

When we run python script.py, we will get the following result:

2.2.1

Lastly, you can encounter the modulenotfounderror when you import a module that is not installed in your Python environment.

What is Pandas?

Pandas is the standard data science library for flexible and robust data analysis/manipulation. Pandas provides two data structures called Series and DataFrame; Series is similar to arrays. DataFrame is a collection of Series objects presented in a table, similar to other statistical software like Excel or SPSS. Pandas does not come installed automatically with Python. The easiest way to install Pandas is to use the package manager for Python called pip. The following installation instructions are for the major Python version 3.

How to Install Pandas on Windows Operating System

To install Pandas using pip on Windows, you need to download and install Python on your PC. Ensure you select the install launcher for all users and Add Python to PATH checkboxes. The latter ensures the interpreter is in the execution path. Pip is automatically installed on Windows for Python versions 2.7.9+ and 3.4+.

You can install pip on Windows by downloading the installation package, opening the command line and launching the installer. You can install pip via the CMD prompt by running the following command.

python get-pip.py

You may need to run the command prompt as administrator. Check whether the installation has been successful by typing.

pip --version

To install pandas with pip, run the following command from the command prompt.

pip3 install pandas

How to Install Pandas on Mac Operating System

Open a terminal by pressing command (⌘) + Space Bar to open the Spotlight search. Type in terminal and press enter.

To get pip, first ensure you have installed Python3:

python3 --version
Python 3.8.8

Download pip by running the following curl command:

curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py

The curl command allows you to specify a direct download link, and using the -o option sets the name of the downloaded file.

Install pip by running:

python3 get-pip.py

From the terminal, use the pip3 command to install pandas:

pip3 install pandas

How to Install Pandas on Linux Operating Systems

All major Linux distributions have Python installed by default. However, you will need to install pip. You can install pip from the terminal, but the installation instructions depend on the Linux distribution you are using. You will need root privileges to install pip. Open a terminal and use the commands relevant to your Linux distribution to install pip.

Installing pip for Ubuntu, Debian, and Linux Mint

sudo apt install python-pip3

Installing pip for CentOS 8 (and newer), Fedora, and Red Hat

sudo dnf install python-pip3

Installing pip for CentOS 6 and 7, and older versions of Red Hat

sudo yum install epel-release

sudo yum install python-pip3

Installing pip for Arch Linux and Manjaro

sudo pacman -S python-pip

Installing pip for OpenSUSE

sudo zypper python3-pip

Once you have installed pip, you can install pandas using:

pip3 install pandas

Check Pandas Version

Once you have successfully installed Pandas, you can use two methods to check the version of Pandas. First, you can use pip from your terminal:

pip show pandas
Name: pandas
Version: 1.2.4
Summary: Powerful data structures for data analysis, time series, and statistics
Home-page: https://pandas.pydata.org
Author: None
Author-email: None
License: BSD
Location: /Users/Yusufu.Shehu/opt/anaconda3/lib/python3.8/site-packages
Requires: python-dateutil, pytz, numpy
Required-by: statsmodels, seaborn, mlxtend
Note: you may need to restart the kernel to use updated packages.

Second, within your python program, you can import pandas and reference and then __version__ attribute:

import pandas as pd

print(pd.__version__)
1.2.4

Installing Pandas Using Anaconda

Anaconda is a distribution of Python and R for scientific computing and data science. Anaconda comes with pandas, numpy, and other relevant Python libraries for data science and machine learning. You can install Anaconda by going to the installation instructions, and Anaconda provides a complete list of packages available in the distribution across all operating systems.

If you have issues with using pandas in your conda environment, you can install it with the following command:

conda install -c anaconda pandas

Summary

Congratulations on reading to the end of this tutorial. The modulenotfounderror occurs if you misspell the module name, incorrectly point to the module path or do not have the module installed in your Python environment. If you do not have the module installed in your Python environment, you can use pip to install the package. However, you must ensure you have pip installed on your system. You can also install Anaconda on your system, which comes with pandas.

For further reading on installing data science and machine learning libraries, you can go to the articles:

  • OpenCV: How to Solve Python ModuleNotFoundError: no module named ‘cv2’
  • Requests: How to Solve Python ModuleNotFoundError: no module named ‘requests’
  • Numpy: How to Solve Python ModuleNotFoundError: no module named ‘numpy’
  • TensorFlow: How to Solve Python ModuleNotFoundError: no module named ‘tensorflow’

Go to the online courses page on Python to learn more about Python for data science and machine learning.

Have fun and happy researching!

Quick Fix: Python raises the ImportError: No module named pandas when it cannot find the Pandas installation. The most frequent source of this error is that you haven’t installed Pandas explicitly with pip install pandas.

Alternatively, you may have different Python versions on your computer, and Pandas is not installed for the particular version you’re using. To fix it, run pip install pandas in your Linux/MacOS/Windows terminal.

Problem: You’ve just learned about the awesome capabilities of the Pandas library and you want to try it out, so you start with the following import statement you found on the web:

import pandas as pd

This is supposed to import the Pandas library into your (virtual) environment. However, it only throws the following import error: no module named pandas!

>>> import pandas as pd
ImportError: No module named pandas on line 1 in main.py

You can reproduce this error in the following interactive Python shell:

Why did this error occur?

The reason is that Python doesn’t provide Pandas in its standard library. You need to install Pandas first!

Before being able to import the Pandas module, you need to install it using Python’s package manager pip. You can run the following command in your Windows shell (without the $ symbol):

$ pip install pandas

Here’s the screenshot on my Windows machine:

pip install pandas screenshot

This simple command installs Pandas in your virtual environment on Windows, Linux, and macOS.

It assumes that you know that your pip version is updated. If it isn’t, use the following two commands (there’s no harm in doing it anyway):

$ python -m pip install --upgrade pip
...
$ pip install pandas

Here’s how this plays out on my Windows command line:

Upgrade pip screenshot Windows

The warning message disappeared!

If you need to refresh your Pandas skills, check out the following Pandas cheat sheets—I’ve compiled the best 5 in this article:

Related article: Top 5 Pandas Cheat Sheets

How to Fix “ImportError: No module named pandas” in PyCharm

If you create a new Python project in PyCharm and try to import the Pandas library, it’ll throw the following error:

Traceback (most recent call last):
  File "C:/Users/xcent/Desktop/Finxter/Books/book_dash/pythonProject/main.py", line 1, in <module>
    import pandas as pd
ModuleNotFoundError: No module named 'pandas'

Process finished with exit code 1

The reason is that each PyCharm project, per default, creates a virtual environment in which you can install custom Python modules. But the virtual environment is initially empty—even if you’ve already installed Pandas on your computer!

Here’s a screenshot:

The fix is simple: Use the PyCharm installation tooltips to install Pandas in your virtual environment—two clicks and you’re good to go!

First, right-click on the pandas text in your editor:

Second, click “Show Context Actions” in your context menu. In the new menu that arises, click “Install Pandas” and wait for PyCharm to finish the installation.

The code will run after your installation completes successfully.

As an alternative, you can also open the “Terminal” tool at the bottom and type:

pip install pandas

If this doesn’t work, you may want to change the Python interpreter to another version using the following tutorial:

  • https://www.jetbrains.com/help/pycharm/2016.1/configuring-python-interpreter-for-a-project.html

You can also manually install a new library such as Pandas in PyCharm using the following procedure:

  • Open File > Settings > Project from the PyCharm menu.
  • Select your current project.
  • Click the Python Interpreter tab within your project tab.
  • Click the small + symbol to add a new library to the project.
  • Now type in the library to be installed, in your example Pandas, and click Install Package.
  • Wait for the installation to terminate and close all popup windows.

Here’s a complete introduction to PyCharm:

Related Article: PyCharm—A Helpful Illustrated Guide

Other Ways to Install Pandas

I have found a great online tutorial on how this error can be resolved in some ways that are not addressed here (e.g., when using Anaconda). You can watch the tutorial video here:

No Module Named Pandas — How To Fix

And a great screenshot guiding you through a flowchart is available here:

Finally, the tutorial lists the following three steps to overcome the "No Module Named Pandas" issue:

Origin Solution
Pandas library not installed pip install pandas
Python cannot find pandas installation path Install pandas in your virtual environment, global environment, or add it to your path (environment variable).
Different Python and pandas versions installed Upgrade your Python installation (recommended).
Or, downgrade your pandas installation (not recommended) with pip install pandas=x.xx.x

[Summary] ImportError: No module named pandas

Pandas is not part of the Python standard library so it doesn’t ship with the default Python installation.

Thus, you need to install it using the pip installer.

To install pip, follow my detailed guide:

  • Tutorial: How to Install PIP on Windows?

Pandas is distributed through pip which uses so-called wheel files.

💡 Info: A .whl file (read: wheel file) is a zip archive that contains all the files necessary to run a Python application. It’s a built-package format for Python, i.e., a zip archive with .whl suffix such as in yourPackage.whl. The purpose of a wheel is to contain all files for a PEP-compliant installation that approximately matches the on-disk format. It allows you to migrate a Python application from one system to another in a simple and robust way.

So, in some cases, you need to install wheel first before attempting to install pandas. This is explored next!

Install Pandas on Windows

Do you want to install Pandas on Windows?

Install wheel first and pandas second using pip for Python 2 or pip3 for Python 3 depending on the Python version installed on your system.

Python 2

pip install wheel
pip install pandas

Python 3

pip3 install wheel
pip3 install pandas

If you haven’t added pip to your environment variable yet, Windows cannot find pip and an error message will be displayed. In this case, run the following commands in your terminal instead to install pandas:

py -m pip install wheel
py -m pip install pandas

Install Pandas on macOS and Linux 

The recommended way to install the pandas module on macOS (OSX) and Linux is to use the commands pip (for Python 2) or pip3 (for Python 3) assuming you’ve installed pip already.

Do you run Python 2?

Copy&paste the following two commands in your terminal/shell:

sudo pip install wheel
sudo pip install pandas

Do you run Python 3?

Copy&paste the following two commands in your terminal/shell:

sudo pip3 install wheel
sudo pip3 install pandas

Do you have easy_install on your system?

Copy&paste the following two commands into your terminal/shell:

sudo easy_install -U wheel
sudo easy_install -U pandas

Do you run CentOs (yum)?

Copy&paste the following two commands into your terminal/shell:

yum install python-wheel
yum install python-pandas

Do you run Ubuntu (Debian)?

Copy&paste the following two commands into your terminal/shell:

sudo apt-get install python-wheel
sudo apt-get install python-pandas

More Finxter Tutorials

Learning is a continuous process and you’d be wise to never stop learning and improving throughout your life. 👑

What to learn? Your subconsciousness often knows better than your conscious mind what skills you need to reach the next level of success.

I recommend you read at least one tutorial per day (only 5 minutes per tutorial is enough) to make sure you never stop learning!

💡 If you want to make sure you don’t forget your habit, feel free to join our free email academy for weekly fresh tutorials and learning reminders in your INBOX.

Also, skim the following list of tutorials and open 3 interesting ones in a new browser tab to start your new — or continue with your existing — learning habit today! 🚀

Python Basics:

  • Python One Line For Loop
  • Import Modules From Another Folder
  • Determine Type of Python Object
  • Convert String List to Int List
  • Convert Int List to String List
  • Convert String List to Float List
  • Convert List to NumPy Array
  • Append Data to JSON File
  • Filter List Python
  • Nested List

Python Dependency Management:

  • Install PIP
  • How to Check Your Python Version
  • Check Pandas Version in Script
  • Check Python Version Jupyter
  • Check Version of Package PIP

Python Debugging:

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  • List Index Out Of Range
  • Fix Value Error Truth
  • Cannot Import Name X Error

Fun Stuff:

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  • 10 Best Python Puzzles to Discover Your True Skill Level
  • How to $1000 on the Side as a Python Freelancer

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Установка¶

Проще всего установить pandas в составе Anaconda — кроссплатформенного дистрибутива для анализа данных и научных вычислений. Это рекомендуемый метод установки для большинства пользователей.

Здесь вы также найдете инструкции по установке из исходников, с помощью PyPI, ActivePython, различных дистрибутивов Linux и версию для разработки.

Поддержка версий Python¶

Официально поддерживается Python 3.8, 3.9 и 3.10.

Установка с помощью Anaconda¶

Установка pandas и остальной части стека NumPy и SciPy может быть немного сложной для неопытных пользователей.

Проще всего установить не только pandas, но и Python и самые популярные пакеты, составляющие стек SciPy (IPython , NumPy, Matplotlib и так далее) с использованием Anaconda — кроссплатформенного (Linux, macOS, Windows) дистрибутива Python для анализа данных и научных вычислений.

После запуска установщика пользователь получит доступ к pandas и остальной части стека SciPy без необходимости устанавливать что-либо еще и без необходимости ждать, пока какое-либо программное обеспечение будет скомпилировано.

Инструкции по установке Anaconda можно найти здесь.

Полный список пакетов, доступных в составе дистрибутива Anaconda, можно найти здесь.

Еще одним преимуществом установки Anaconda является то, что вам не нужны права администратора для ее установки. Anaconda может быть установлена в домашнем каталоге пользователя, что упрощает удаление Anaconda в случае необходимости (просто удалите эту папку).

Установка с помощью Miniconda¶

В предыдущем разделе было описано, как установить pandas в составе дистрибутива Anaconda. Однако этот подход означает, что вы установите более сотни пакетов и предполагает загрузку установщика, размер которого составляет несколько сотен мегабайт.

Если вы хотите иметь больший контроль над пакетами или пропускная способность интернета у вас ограничена, то установка pandas с помощью Miniconda может вам подойти лучше.

Conda — это менеджер пакетов, на котором построен дистрибутив Anaconda. Это менеджер пакетов, который является одновременно кроссплатформенным и независимым от языка (он похож на комбинацию pip и virtualenv).

Miniconda позволяет вам создать минимальную автономную установку Python, а затем использовать команды Conda для установки дополнительных пакетов (см. краткое руководство по Miniconda на русском).

Сначала вам нужно установить Conda, и загрузка и запуск Miniconda решит эту задачу. Установщик можно найти здесь.

Следующим шагом является создание новой среды conda. Виртуальная среда conda похожа на ту, которая создается virtualenv, она позволяет указать конкретную версию Python и набор библиотек. Запустите следующие команды из окна терминала:

conda create -n name_of_my_env python

Это создаст минимальную среду, в которой будет установлен только Python. Чтобы активировать эту среду, запустите:

source activate name_of_my_env

В Windows команда следующая:

Последним шагом необходимо установить pandas. Это можно сделать с помощью следующей команды:

Установить определенную версию pandas:

conda install pandas=0.20.3

Установить другие пакеты, например, IPython:

Установить полный дистрибутив Anaconda:

Если вам нужны пакеты, доступные для pip, но не для conda, установите pip, а затем используйте pip для установки этих пакетов:

conda install pip
pip install django

Установка из PyPI¶

pandas можно установить через pip из PyPI.

Примечание

У вас должен быть pip>=19.3 для установки из PyPI.

Установка с ActivePython¶

Инструкции по установке ActivePython можно найти здесь. Версии 2.7, 3.5 и 3.6 включают pandas.

Установка с помощью менеджера пакетов вашего дистрибутива Linux.¶

Команды в этой таблице установят pandas для Python 3 из вашего дистрибутива.

Дистрибутив

Статус

Ссылка на скачивание / репозиторий

Команда для установки

Debian

стабильный

Официальный репозиторий Debian

sudo apt-get install python3-pandas

Debian & Ubuntu

нестабильный (последние пакеты)

NeuroDebian

sudo apt-get install python3-pandas

Ubuntu

стабильный

Официальный репозиторий Ubuntu

sudo apt-get install python3-pandas

OpenSuse

стабильный

Репозиторий OpenSuse

zypper in python3-pandas

Fedora

стабильный

Официальный репозиторий Fedora

dnf install python3-pandas

Centos/RHEL

стабильный

Репозиторий EPEL

yum install python3-pandas

Однако пакеты в менеджерах пакетов linux часто отстают на несколько версий, поэтому, чтобы получить новейшую версию pandas, рекомендуется устанавливать ее с помощью команд pip или conda, описанных выше.

Обработка ошибок импорта¶

Если вы столкнулись с ошибкой ImportError, это обычно означает, что Python не смог найти pandas в списке доступных библиотек. Внутри Python есть список каталогов, в которых он ищет пакеты. Вы можете получить список этих каталогов с помощью команды:

Одна из возможных причин ошибки — это если Python в системе установлен более одного раза, и pandas не установлен в том Python, который вы используете на текущий момент. В Linux/Mac вы можете запустить what python на своем терминале, и он сообщит вам, какой Python вы используете. Если это что-то вроде «/usr/bin/python», вы используете Python из системы, что не рекомендуется.

Настоятельно рекомендуется использовать conda для быстрой установки и обновления пакетов и зависимостей. Вы можете найти простые инструкции по установке pandas в этом документе.

Установка из исходников¶

Полные инструкции по сборке из исходного дерева git см. в Contributing guide. Если вы хотите создать среду разработки pandas, смотрите Creating a development environment.

Запуск набора тестов¶

pandas оснащен исчерпывающим набором модульных тестов, покрывающих около 97% кодовой базы на момент написания этой статьи. Чтобы запустить его на своем компьютере и удостовериться, что все работает (и что у вас установлены все зависимости, программные и аппаратные), убедитесь, что у вас есть pytest >= 6.0 и Hypothesis >= 3.58, затем запустите:

>>> pd.test()
running: pytest --skip-slow --skip-network C:UsersTPAnaconda3envspy36libsite-packagespandas
============================= test session starts =============================
platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0.4.0
rootdir: C:UsersTPDocumentsPythonpandasdevpandas, inifile: setup.cfg
collected 12145 items / 3 skipped

..................................................................S......
........S................................................................
.........................................................................

==================== 12130 passed, 12 skipped in 368.339 seconds =====================

Зависимости¶

Пакет

Минимальная поддерживаемая версия

NumPy

1.18.5

python-dateutil

2.8.1

pytz

2020.1

Рекомендуемые зависимости¶

  • numexpr: для ускорения некоторых числовых операций. numexpr использует несколько ядер, а также интеллектуальное разбиение на фрагменты и кэширование для достижения значительного ускорения. Установленная версия должна быть 2.7.1 или выше.

  • bottleneck: для ускорения определенных типов оценок nan. bottleneck использует специализированные подпрограммы cython для достижения больших ускорений. Установленная версия должна быть 1.3.1 или выше.

Примечание

Настоятельно рекомендуется установить эти библиотеки, поскольку они обеспечивают повышение скорости, особенно при работе с большими наборами данных.

Дополнительные зависимости¶

pandas имеет множество необязательных зависимостей, которые используются только для определенных методов. Например, для pandas.read_hdf() требуется пакет pytables, а для DataFrame.to_markdown() – пакет tabulate. Если необязательная зависимость не установлена, pandas выведет ImportError при вызове метода, требующего этой зависимости.

Визуализация¶

Зависимость

Минимальная версия

Примечания

matplotlib

3.3.2

Библиотека графиков

Jinja2

2.11

Условное форматирование с DataFrame.style

tabulate

0.8.7

Печать в формате, дружественном к Markdown (см. tabulate)

Вычисления¶

Зависимость

Минимальная версия

Примечания

SciPy

1.14.1

Дополнительные статистические функции

numba

0.50.1

Альтернативный механизм выполнения операций прокатки (см. Enhancing performance)

xarray

0.15.1

pandas-подобный API для N-мерных данных

Файлы Excel¶

Зависимость

Минимальная версия

Примечания

XLRD

2.0.1

Чтение Excel

xlwt

1.3.0

Запись Excel

xlsxwriter

1.2.2

Запись Excel

openpyxl

3.0.3

Чтение и запись файлов xlsx

pyxlsb

1.0.6

Чтение файлов xlsb

HTML¶

Зависимость

Минимальная версия

Примечания

BeautifulSoup4

4.8.2

Парсер HTML для read_html

html5lib

1.1

Парсер HTML для read_html

lxml

4.5.0

Парсер HTML для read_html

Для использования функции верхнего уровня read_html() необходима одна из следующих комбинаций библиотек:

  • BeautifulSoup4 и html5lib

  • BeautifulSoup4 и lxml

  • BeautifulSoup4 и html5lib и lxml

  • Только lxml, хотя в HTML Table Parsing Gotchas объясняется, почему вам, вероятно, не следует использовать этот подход.

Предупреждение

  • Если вы устанавливаете BeautifulSoup4, вы должны установить либо lxml, либо html5lib, либо оба. read_html() не работает, если установлен только BeautifulSoup4 (см. подробнее о парсерах в документации BeautifulSoup на русском).

  • Настоятельно рекомендуется прочитать HTML Table Parsing Gotchas. Там объясняются проблемы, связанные с установкой и использованием трех вышеуказанных библиотек.

XML¶

Зависимость

Минимальная версия

Примечания

lxml

4.5.0

Анализатор XML для read_xml и построитель дерева для to_xml

Базы данных SQL¶

Зависимость

Минимальная версия

Примечания

SQLAlchemy

1.4.0

Поддержка SQL для баз данных, отличных от sqlite

psycopg2

2.8.4

Движок PostgreSQL для sqlalchemy

pymysql

0.10.1

Движок MySQL для sqlalchemy

Другие источники данных¶

Зависимость

Минимальная версия

Примечания

PyTables

3.6.1

Чтение и запись на основе HDF5

blosc

1.20.1

Сжатие для HDF5

zlib

Сжатие для HDF5

fastparquet

0.4.0

Чтение и запись parquet

pyarrow

1.0.1

Чтение и запись parquet, ORC и feather

pyreadstat

1.1.0

Чтение файлов SPSS (.sav)

Предупреждение

  • Если вы хотите использовать read_orc(), настоятельно рекомендуется установить pyarrow с помощью conda. Ниже приводится краткое описание среды, в которой может работать read_orc().

    Система

    Conda

    PyPI

    Linux

    Успешно

    Ошибка (pyarrow == 3.0 Успешно)

    macOS

    Успешно

    Не удалось

    Windows

    Не удалось

    Не удалось

Доступ к данным в облаке¶

Зависимость

Минимальная версия

Примечания

fsspec

0.7.4

Обработка файлов помимо простых локальных и HTTP

gcsfs

0.6.0

Доступ к облачному хранилищу Google

pandas-gbq

0.14.0

Доступ к Google Big Query

s3fs

0.4.0

Доступ к Amazon S3

Буфер обмена¶

Зависимость

Минимальная версия

Примечания

PyQt4/PyQt5

Ввод и вывод буфера обмена

qtpy

Ввод и вывод буфера обмена

xclip

Ввод и вывод буфера обмена в Linux

xsel

Ввод и вывод буфера обмена в Linux

Сжатие¶

Зависимость

Минимальная версия

Примечания

Zstandard

Сжатие Zstandard

I am trying to write code in Python to fetch Twitter data, and I am not getting an error for twython. But I am getting an error for Pandas.

I have installed Pandas using pip install pandas. But I still get the following error. How can I fix it?

F:> pip install pandas
Collecting pandas
c:python27libsite-packagespip_vendorrequestspackagesurllib3utilssl_.py
:90: InsecurePlatformWarning: A true SSLContext object is not available. This pr
events urllib3 from configuring SSL appropriately and may cause certain SSL conn
ections to fail. For more information, see https://urllib3.readthedocs.org/en/la
test/security.html#insecureplatformwarning.
  InsecurePlatformWarning
  Using cached pandas-0.17.0-cp27-none-win32.whl
Requirement already satisfied (use --upgrade to upgrade): pytz>=2011k in c:pyth
on27libsite-packages (from pandas)
Requirement already satisfied (use --upgrade to upgrade): python-dateutil in c:
python27libsite-packages (from pandas)
Collecting numpy>=1.7.0 (from pandas)
  Downloading numpy-1.10.1.tar.gz (4.0MB)
    100% |################################| 4.1MB 26kB/s
Requirement already satisfied (use --upgrade to upgrade): six>=1.5 in c:python2
7libsite-packages (from python-dateutil->pandas)
Building wheels for collected packages: numpy
  Running setup.py bdist_wheel for numpy
  Complete output from command c:python27python.exe -c "import setuptools;__fi
le__='c:\users\sangram\appdata\local\temp\pip-build-m6knxg\numpy\setup.p
y';exec(compile(open(__file__).read().replace('rn', 'n'), __file__, 'exec'))"
 bdist_wheel -d c:userssangramappdatalocaltemptmppmwkw4pip-wheel-:
  Running from numpy source directory.
  usage: -c [global_opts] cmd1 [cmd1_opts] [cmd2 [cmd2_opts] ...]
     or: -c --help [cmd1 cmd2 ...]
     or: -c --help-commands
     or: -c cmd --help

  error: invalid command 'bdist_wheel'

  ----------------------------------------
  Failed building wheel for numpy
Failed to build numpy
Installing collected packages: numpy, pandas
  Running setup.py install for numpy
    Complete output from command c:python27python.exe -c "import setuptools, t
okenize;__file__='c:\users\sangram\appdata\local\temp\pip-build-m6knxg\nu
mpy\setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().rep
lace('rn', 'n'), __file__, 'exec'))" install --record c:userssangramappdat
alocaltemppip-ll4zaf-recordinstall-record.txt --single-version-externally-ma
naged --compile:
    blas_opt_info:
    blas_mkl_info:
      libraries mkl,vml,guide not found in ['c:\python27\lib', 'C:\', 'c:\py
thon27\libs']
      NOT AVAILABLE

    openblas_info:
      libraries openblas not found in ['c:\python27\lib', 'C:\', 'c:\python2
7\libs']
      NOT AVAILABLE

    atlas_3_10_blas_threads_info:
    Setting PTATLAS=ATLAS
      libraries tatlas not found in ['c:\python27\lib', 'C:\', 'c:\python27
libs']
      NOT AVAILABLE

    atlas_3_10_blas_info:
      libraries satlas not found in ['c:\python27\lib', 'C:\', 'c:\python27
libs']
      NOT AVAILABLE

    atlas_blas_threads_info:
    Setting PTATLAS=ATLAS
      libraries ptf77blas,ptcblas,atlas not found in ['c:\python27\lib', 'C:\
', 'c:\python27\libs']
      NOT AVAILABLE

    atlas_blas_info:
      libraries f77blas,cblas,atlas not found in ['c:\python27\lib', 'C:\', '
c:\python27\libs']
      NOT AVAILABLE

    blas_info:
      libraries blas not found in ['c:\python27\lib', 'C:\', 'c:\python27\l
ibs']
      NOT AVAILABLE

    blas_src_info:
      NOT AVAILABLE

      NOT AVAILABLE

    non-existing path in 'numpy\distutils': 'site.cfg'
    F2PY Version 2
    lapack_opt_info:
    openblas_lapack_info:
      libraries openblas not found in ['c:\python27\lib', 'C:\', 'c:\python2
7\libs']
      NOT AVAILABLE

    lapack_mkl_info:
    mkl_info:
      libraries mkl,vml,guide not found in ['c:\python27\lib', 'C:\', 'c:\py
thon27\libs']
      NOT AVAILABLE

      NOT AVAILABLE

    atlas_3_10_threads_info:
    Setting PTATLAS=ATLAS
      libraries tatlas,tatlas not found in c:python27lib
      libraries lapack_atlas not found in c:python27lib
      libraries tatlas,tatlas not found in C:
      libraries lapack_atlas not found in C:
      libraries tatlas,tatlas not found in c:python27libs
      libraries lapack_atlas not found in c:python27libs
    <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
      NOT AVAILABLE

    atlas_3_10_info:
      libraries satlas,satlas not found in c:python27lib
      libraries lapack_atlas not found in c:python27lib
      libraries satlas,satlas not found in C:
      libraries lapack_atlas not found in C:
      libraries satlas,satlas not found in c:python27libs
      libraries lapack_atlas not found in c:python27libs
    <class 'numpy.distutils.system_info.atlas_3_10_info'>
      NOT AVAILABLE

    atlas_threads_info:
    Setting PTATLAS=ATLAS
      libraries ptf77blas,ptcblas,atlas not found in c:python27lib
      libraries lapack_atlas not found in c:python27lib
      libraries ptf77blas,ptcblas,atlas not found in C:
      libraries lapack_atlas not found in C:
      libraries ptf77blas,ptcblas,atlas not found in c:python27libs
      libraries lapack_atlas not found in c:python27libs
    <class 'numpy.distutils.system_info.atlas_threads_info'>
      NOT AVAILABLE

    atlas_info:
      libraries f77blas,cblas,atlas not found in c:python27lib
      libraries lapack_atlas not found in c:python27lib
      libraries f77blas,cblas,atlas not found in C:
      libraries lapack_atlas not found in C:
      libraries f77blas,cblas,atlas not found in c:python27libs
      libraries lapack_atlas not found in c:python27libs
    <class 'numpy.distutils.system_info.atlas_info'>
      NOT AVAILABLE

    lapack_info:
      libraries lapack not found in ['c:\python27\lib', 'C:\', 'c:\python27
libs']
      NOT AVAILABLE

    lapack_src_info:
      NOT AVAILABLE

      NOT AVAILABLE

    running install
    running build
    running config_cc
    unifing config_cc, config, build_clib, build_ext, build commands --compiler
options
    running config_fc
    unifing config_fc, config, build_clib, build_ext, build commands --fcompiler
 options
    running build_src
    build_src
    building py_modules sources
    creating build
    creating buildsrc.win32-2.7
    creating buildsrc.win32-2.7numpy
    creating buildsrc.win32-2.7numpydistutils
    building library "npymath" sources
    Running from numpy source directory.
    c:userssangramappdatalocaltemppip-build-m6knxgnumpynumpydistutilss
ystem_info.py:1651: UserWarning:
        Atlas (http://math-atlas.sourceforge.net/) libraries not found.
        Directories to search for the libraries can be specified in the
        numpy/distutils/site.cfg file (section [atlas]) or by setting
        the ATLAS environment variable.
      warnings.warn(AtlasNotFoundError.__doc__)
    c:userssangramappdatalocaltemppip-build-m6knxgnumpynumpydistutilss
ystem_info.py:1660: UserWarning:
        Blas (http://www.netlib.org/blas/) libraries not found.
        Directories to search for the libraries can be specified in the
        numpy/distutils/site.cfg file (section [blas]) or by setting
        the BLAS environment variable.
      warnings.warn(BlasNotFoundError.__doc__)
    c:userssangramappdatalocaltemppip-build-m6knxgnumpynumpydistutilss
ystem_info.py:1663: UserWarning:
        Blas (http://www.netlib.org/blas/) sources not found.
        Directories to search for the sources can be specified in the
        numpy/distutils/site.cfg file (section [blas_src]) or by setting
        the BLAS_SRC environment variable.
      warnings.warn(BlasSrcNotFoundError.__doc__)
    c:userssangramappdatalocaltemppip-build-m6knxgnumpynumpydistutilss
ystem_info.py:1552: UserWarning:
        Atlas (http://math-atlas.sourceforge.net/) libraries not found.
        Directories to search for the libraries can be specified in the
        numpy/distutils/site.cfg file (section [atlas]) or by setting
        the ATLAS environment variable.
      warnings.warn(AtlasNotFoundError.__doc__)
    c:userssangramappdatalocaltemppip-build-m6knxgnumpynumpydistutilss
ystem_info.py:1563: UserWarning:
        Lapack (http://www.netlib.org/lapack/) libraries not found.
        Directories to search for the libraries can be specified in the
        numpy/distutils/site.cfg file (section [lapack]) or by setting
        the LAPACK environment variable.
      warnings.warn(LapackNotFoundError.__doc__)
    c:userssangramappdatalocaltemppip-build-m6knxgnumpynumpydistutilss
ystem_info.py:1566: UserWarning:
        Lapack (http://www.netlib.org/lapack/) sources not found.
        Directories to search for the sources can be specified in the
        numpy/distutils/site.cfg file (section [lapack_src]) or by setting
        the LAPACK_SRC environment variable.
      warnings.warn(LapackSrcNotFoundError.__doc__)
    c:python27libdistutilsdist.py:267: UserWarning: Unknown distribution opt
ion: 'define_macros'
      warnings.warn(msg)
    error: Unable to find vcvarsall.bat

    ----------------------------------------
Command "c:python27python.exe -c "import setuptools, tokenize;__file__='c:\us
ers\sangram\appdata\local\temp\pip-build-m6knxg\numpy\setup.py';exec(comp
ile(getattr(tokenize, 'open', open)(__file__).read().replace('rn', 'n'), __fi
le__, 'exec'))" install --record c:userssangramappdatalocaltemppip-ll4zaf-
recordinstall-record.txt --single-version-externally-managed --compile" failed
with error code 1 in c:userssangramappdatalocaltemppip-build-m6knxgnumpy

F:>python tweet_fetcher.py
Traceback (most recent call last):
  File "tweet_fetcher.py", line 1, in <module>
    import pandas
ImportError: No module named pandas

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