Welcome to our guide on how to use pypistats, a powerful Python interface that lets you access the PyPI Stats API. This tool helps you retrieve aggregate download statistics on Python packages without needing to wrangle with SQL queries directly. This blog will walk you through the installation process, how to use the command line effectively, and tips for troubleshooting.

Installation

Getting started with pypistats is straightforward. You can install it using one of two methods:

• From PyPI: Run the following command in your terminal:

bash
python3 -m pip install --upgrade pypistats

• From source: Clone the repository and install it:

bash
git clone https://github.com/hugovk/pypistats
cd pypistats
python3 -m pip install .

Using pypistats

Once installed, you can run various commands to access download statistics. Think of using pypistats like a librarian helping you find the books you need in a massive library, but instead of books, you’re searching for Python package downloads.

Here’s a brief overview of some basic command-line usage:

bash
# Get help
pypistats --help

# Get recent downloads for a package
pypistats recent pillow

Understanding Commands

When you run pypistats, you can specify subcommands and options. The following example commands illustrate how to gather recent download statistics:

bash
# Get aggregate download quantities for the last week
pypistats recent pillow --period week

# Get downloads in a specific output format
pypistats recent pillow --format json

Advanced Usage

pypistats also allows you to retrieve detailed statistics such as downloads by Python version or date ranges. You can think of it as using specific search filters to narrow down your book search:

bash
# Downloads breakdown by Python version for the last month
pypistats python_minor pillow --last-month

Troubleshooting

If you encounter any issues while using pypistats, here are a few troubleshooting tips:

• Ensure that you have Python 3 installed and that it’s correctly set up in your environment.
• Double-check your commands for misspellings or incorrect parameters.
• If you experience network issues, verify your internet connection and try again.
• For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Programmatic Usage

You can also use pypistats in your Python code. This is akin to having a personal librarian who not only fetches books but also organizes them based on your preferences!

python
import pypistats
from pprint import pprint

# Example of getting recent downloads for a specific package
recent_downloads = pypistats.recent('pillow')
pprint(recent_downloads)

Visualization with NumPy and Pandas

If you’re dealing with large datasets, pypistats works smoothly with libraries like NumPy and Pandas. Imagine creating visual reports to showcase your library’s most popular books; it’s just as easy here!

python
import pypistats
import pandas as pd

# Get overall downloads and convert to DataFrame for analysis
data = pypistats.overall('pillow', total=True, format='pandas')
print(data)

Conclusion

With pypistats, you have remarkable access to Python package download statistics right at your fingertips. Whether you are analyzing trends or visualizing data, this tool simplifies the process.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.