Python нет модуля pandas

ModuleNotFoundError: No module named ‘pandas’ in Python

Python supports multiple standards and open source modules/libraries that are used to perform a variety of tasks. Python “pandas” library is used in programs to analyze, organize, manipulate data, etc., using its various functions. All these functions are only accessed when this library is installed in Python. Otherwise, the “no module named pandas” error appears in the Python program.

To Resolve this error, this Python blog will provide you the solutions for the “pandas module not installed error” in Python using the following contents:

• Reason: pandas Module Not Installed in Python
• Solution 1: Install the pandas Module in Python (For Windows)
• Solution 2: Install the pandas Module in Python (For Linux)
• Example: Creating DataFrame Using pd.DataFrame() Function

Reason: pandas Module Not Installed in Python

The prominent reason which causes this “ModuleNotFoundError: No module named pandas” is when the user tries to import the “pandas” library without installing it in Python. Let’s look at the following code, which invokes this “ModuleNotFoundError” in the program:

The above output snippet shows the error “No module named pandas” because the library is accessed without being installed in Python.

Solution 1: Install the pandas Module in Python (For Windows)

To resolve this error, we need to install the “pandas” library in Python. The following steps will be followed to install the “pandas” module in Python:

Step 1: Open Command Prompt Terminal

Open the “cmd” from the start menu just like as given below:

Step 2: Install pandas Module in cmd

Now after opening the “cmd”, type the following given below command to install the “pandas” module in Python:

From the above snippet, it is verified that the “pandas” library is successfully installed in Python.

If you get a permission error while installing the “pandas” library from the above pip command, then type the following command in cmd:

To install the “pandas” library in Anaconda and Jupyter Notebook, type the following command respectively:

# for Anaconda conda install -c anaconda pandas # for Jupyter Notebook !pip install pandas

Step 3: Verification of pandas Library

To verify the installation of pandas library, type the following command to check the details regarding version and file location:

The above snippet shows the name, version, file location, etc. of the installed “pandas” library.

Solution 2: Install the pandas Module in Python (For Linux)

To install the “pandas” module in Python Linux, you can use the “pip” package manager. Type the given below command in the terminal to install Python “pandas” module:

The “pip” method is recommended for installation of the “pandas” library because sometimes Linux distributions do not find all versions of pandas.

Example: Creating DataFrame Using pd.DataFrame() Function

In the example given below, the “pd.dataframe()” function is used to create the data frame by accepting the dictionary value as an argument. The example code is demonstrated below with its working:

import pandas as pd dict_value = data_frame= pd.DataFrame(dict_value) print(data_frame)

In the above code, the “pandas” module is imported as “pd” and the function “pd.DataFrame()” is used to return the dictionary as a data frame.

The “pandas” DataFrame has been successfully created in the above output using the “DataFrame()” function.

Conclusion

The “ModuleNotFoundError: No module named pandas” occurs when the user tries to access the “pandas” module without installing it in Python. The error is resolved when the “pandas” module is installed in Python using the command, i.e., “pip install pandas”. To resolve the “no module named pandas” in Linux, various commands are utilized in the terminal, such as pip, apt, etc. This article explained the reason and solutions of “No module named pandas” in Python.

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Как исправить: нет модуля с именем pandas

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

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:

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:

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:

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ModuleNotFoundError: No module named pandas, simple fix!

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

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.

ModuleNotFoundError: No module named pandas

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:

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.

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.

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.

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.

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

Stephen Allwright Twitter

I’m a Data Scientist currently working for Oda, an online grocery retailer, in Oslo, Norway. These posts are my way of sharing some of the tips and tricks I’ve picked up along the way.

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