Pip Pandas

Generates profile reports from a pandas DataFrame. The pandas df.describe function is great but a little basic for serious exploratory data analysis. Pandasprofiling extends the pandas DataFrame with df.profilereport for quick data analysis. Pip install pandas. This will install the packages successfully. How to check the version of Pandas? To check the version of the pandas installed use the following code in Pycharm. Import pandas as pd print(pd.version) Output. Python Data Analysis Library. 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. The easiest way to install pandas is to install it as part of the Anaconda distribution, a cross platform distribution for data analysis and scientific computing. Pandas can be installed via pip from PyPI. Pandas is the right tool for you. Pandas will help you to explore, clean and process your data.

What is PIP?

PIP is a package manager for Python packages, or modules if you like.

Note: If you have Python version 3.4 or later, PIP is included by default.

What is a Package?

A package contains all the files you need for a module.

Modules are Python code libraries you can include in your project.

Check if PIP is Installed

Navigate your command line to the location of Python's script directory, and type the following:


Check PIP version:

C:UsersYour NameAppDataLocalProgramsPythonPython36-32Scripts>pip --version

Install PIP

If you do not have PIP installed, you can download and install it from this page: https://pypi.org/project/pip/

InstallHow to pip install pandas

Download a Package

Downloading a package is very easy.

Open the command line interface and tell PIP to download the package you want.

Navigate your command line to the location of Python's script directory, and type the following:

Pip pandas install


Pip Pandas Command

Download a package named 'camelcase':

C:UsersYour NameAppDataLocalProgramsPythonPython36-32Scripts>pip install camelcase

Now you have downloaded and installed your first package!

Using a Package

Once the package is installed, it is ready to use.

Import the 'camelcase' package into your project.


Import and use 'camelcase':

Pandas Python

Pip pandas versionPip pandas install
import camelcase
c = camelcase.CamelCase()
txt = 'hello world'
Run Example »

Find Packages

Find more packages at https://pypi.org/.

Remove a Package

Use the uninstall command to remove a package:


Uninstall the package named 'camelcase':

C:UsersYour NameAppDataLocalProgramsPythonPython36-32Scripts>pip uninstall camelcase

The PIP Package Manager will ask you to confirm that you want to remove the camelcase package:

Uninstalling camelcase-02.1:
Would remove:
c:usersYour Nameappdatalocalprogramspythonpython36-32libsite-packagescamecase-0.2-py3.6.egg-info
c:usersYour Nameappdatalocalprogramspythonpython36-32libsite-packagescamecase*
Proceed (y/n)?

Press y and the package will be removed.

How To Pip Install Pandas

List Packages

Use the list command to list all the packages installed on your system:


List installed packages:

C:UsersYour NameAppDataLocalProgramsPythonPython36-32Scripts>pip list


Pip Pandasql

Package Version
camelcase 0.2
mysql-connector 2.1.6
pip 18.1
pymongo 3.6.1
setuptools 39.0.1

Pip Pandas Profiling