custom-viz-lib 1.0.1

A customizable data visualization library

Custom Viz Lib

A customizable data visualization library

Overview

Custom Viz Lib is a library for easily creating interactive and customizable data visualizations.

Features

• Create interactive graphs and charts
• Customizable themes and styles
• Support for data storytelling

Customization Details

Chart Types

• BarChart: Bar Chart
• LineChart: Line Chart

Themes

• DarkTheme: Dark Theme
• LightTheme: Light Theme

Data Loading

• load_csv(file_path): Function to load data from a CSV file

Utilities

• normalize_data(data): Function to normalize data to a range of 0 to 1

Installation

pip install custom_viz_lib

Usage

from custom_viz_lib import chart, theme

# Load data
data = [...]

# Create a chart
bar_chart = chart.BarChart(data)
bar_chart.apply_theme(theme.DarkTheme())
bar_chart.show()

Example 1: Using in Google Colab to create a bar chart

!pip install custom_viz_lib

from custom_viz_lib.chart import BarChart
from custom_viz_lib.theme import DarkTheme

# Sample data
data = [1, 2, 3, 4, 5]
chart = BarChart(data)
chart.apply_theme(DarkTheme())
chart.show()

Example 2: Using in Google Colab to create a line chart

!pip install custom_viz_lib

from custom_viz_lib.chart import LineChart
from custom_viz_lib.theme import LightTheme

# Sample data
data = [10, 20, 15, 25, 30]
chart = LineChart(data)
chart.apply_theme(LightTheme())
chart.show()

Example 3: Using in Google Colab to load data from a CSV file and create a bar chart

!pip install custom_viz_lib

import pandas as pd
from custom_viz_lib.chart import BarChart
from custom_viz_lib.theme import DarkTheme
from custom_viz_lib.data_loader import load_csv

# Path to CSV file
file_path = 'path/to/your/data.csv'

# Load data
data = load_csv(file_path)['column_name'].tolist()
chart = BarChart(data)
chart.apply_theme(DarkTheme())
chart.show()

Example 4: Using in Google Colab to normalize data and create a line chart

!pip install custom_viz_lib

from custom_viz_lib.chart import LineChart
from custom_viz_lib.theme import LightTheme
from custom_viz_lib.utils import normalize_data

# Sample data
data = [10, 20, 15, 25, 30]

# Normalize data
normalized_data = normalize_data(data)
chart = LineChart(normalized_data)
chart.apply_theme(LightTheme())

chart.show()

License

This project is licensed under the MIT License.