Python Pyforest Library

The Pythonpyforest library simplifies the process of importing commonly used libraries in data science and machine learning projects. Instead of manually importing each library. Thepyforest library bundles them together and allows to access classed and functions from the libraries likeNumPy,pandas,matplotlib,seaborn,nltk, and others without explicit import statements.

Installation of pyforest Library

To use pyforest library, you need to install it. You can do this usingpip −

pip install pyforest

Importing pyforest Library

After installing, you need to import pyforest into your Python script to access the bundled libraries −

import pyforest

Using NumPy with Pyforest

NumPy is a fundamental package for scientific computing in Python. It provides support for arrays and matrices, along with a large collection of mathematical functions to operate on these arrays. Functionalities of NumPy library can be used without importing thenumpy package. You just need to importpyforest.

Example

In the following example, we are using the functionalities of numpy using pyforest library −

import pyforest a = np.array([[10,20],[30,40]])print(a)

Output

[[10 20] [30 40]]

Using Pandas with Pyforest

Pandas provides high-performance, easy-to-use data structures and data analysis tools. It is particularly used for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.

Example

In the following example, we are using the functionalities ofpandas usingpyforest library −

import pyforestd = {'X': [10, 20, 30], 'Y': [40, 50, 60], 'Z': [70, 80, 90]}df = pd.DataFrame(d)print(df)

Output

X  Y  Z0  10  40  701  20  50  802  30  60  90

Using NLTK with Pyforest

NLTK (Natural Language Toolkit) is a leading platform for building Python programs to work with human language data.

In the following example, we are using the functionalities ofnltk usingpyforest library.

Note that − To run the below example, you need to install the following library by using the below installation command −

pip install user -U nltk

To download the nltk data −

import nltknltk.downloa('punkt)

Example

import pyforestfrom nltk.tokenize import word_tokenize data = "All apples are red in colour"print(word_tokenize(data))

Output

['All', 'apples', 'are', 'red', 'in', 'colour']

Using Matplotlib with Pyforest

Matplotlib is a plotting library for creating static, animated, and interactive visualizations in Python. It can be used in Python scripts, shell, web application servers, and various graphical user interface toolkits.

Example

In the following example, we are using the functionalities of matplotlib usingpyforest library.

import pyforestx = [10, 20, 30, 40, 50]y = [1, 2, 3, 4, 5] plt.plot(x, y)plt.show()

Output