blitzly 0.1.0

Lightning-fast way to get plots with Plotly

blitzly ⚡️

Lightning-fast way to get plots with Plotly

Introduction 🎉

Plotly is great and powerful. But with great power comes great responsibility. And sometimes you just want to get a plot up and running as fast as possible. That's where blitzly ⚡️ comes in. It provides a set of functions that allow you to create plots with Plotly in a lightning-fast way. It's not meant to replace Plotly, but rather to complement it.

Install the package 📦

If you are using pip, you can install the package with the following command:

pip install blitzly

If you are using Poetry, you can install the package with the following command:

poetry add blitzly

installing dependencies 🧑‍🔧

With pip:

pip install -r requirements.txt

With Poetry:

poetry install

Available plots (so far 🚀)

Module	Method	Description
bar	multi_chart	Creates a bar chart with multiple groups.
histogram	simple_histogram	Plots a histogram with one ore more distributions.
matrix	binary_confusion_matrix	Plots a confusion matrix for binary classification data.

Usage 🤌

Here are some examples: multi_chart:

from blitzly.bar import multi_chart
import numpy as np

data = np.array([[8, 3, 6], [9, 7, 5]])
error_array = np.array([[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]])

multi_chart(
    data,
    x_labels=["Vienna", "Berlin", "Lisbon"],
    group_labels=["Personal rating", "Global rating"],
    hover_texts=["foo", "bar", "blitzly"],
    errors=error_array,
    title="City ratings 🏙",
    mark_x_labels=["Lisbon"],
    write_html_path="see_the_blitz.html",
)

Gives you this: