pyVisio 0.2.0

Interactive and dynamic data visualization library

pyVisio API Reference

Table of Contents

• Introduction
• Functions
  • line_chart
  • bar_chart
  • scatter_plot
  • pie_chart
  • time_series_analysis
  • detect_anomalies_in_series
  • clean_data
  • set_theme
  • live_line_chart
  • live_bar_chart
  • generate_report
  • basic_analysis
  • advanced_analysis

Introduction

pyVisio is a dynamic and interactive data visualization library that provides comprehensive tools for creating various types of charts, performing data analysis, and generating reports.

Functions

line_chart

pv.line_chart(data, title="Line Chart", xlabel="X Axis", ylabel="Y Axis", color='blue', interactive=False)

Creates a line chart.

Parameters

• data: (list) List of numerical values.
• title: (str) Title of the chart.
• xlabel: (str) Label for the X-axis.
• ylabel: (str) Label for the Y-axis.
• color: (str) Color of the line.
• interactive: (bool) Specifies whether the chart is interactive.

bar_chart

pv.bar_chart(data, title="Bar Chart", xlabel="Category", ylabel="Value", color='blue', interactive=False)

Creates a bar chart.

Parameters

• data: (dict) Dictionary with categories as keys and numerical values as values.
• title: (str) Title of the chart.
• xlabel: (str) Label for the X-axis.
• ylabel: (str) Label for the Y-axis.
• color: (str) Color of the bars.
• interactive: (bool) Specifies whether the chart is interactive.

scatter_plot

pv.scatter_plot(x_data, y_data, title="Scatter Plot", xlabel="X Axis", ylabel="Y Axis", color='blue', interactive=False)

Creates a scatter plot.

Parameters

• x_data: (list) List of numerical values for the X-axis.
• y_data: (list) List of numerical values for the Y-axis.
• title: (str) Title of the chart.
• xlabel: (str) Label for the X-axis.
• ylabel: (str) Label for the Y-axis.
• color: (str) Color of the points.
• interactive: (bool) Specifies whether the chart is interactive.

pie_chart

pv.pie_chart(data, title="Pie Chart", interactive=False)

Creates a pie chart.

Parameters

• data: (dict) Dictionary with categories as keys and numerical values as values.
• title: (str) Title of the chart.
• interactive: (bool) Specifies whether the chart is interactive.

time_series_analysis

pv.time_series_analysis(data, lags=1, detect_anomalies=False, anomaly_threshold=3)

Performs time series analysis.

Parameters

• data: (list or numpy array) Numerical data.
• lags: (int) Number of lags to use in the ARIMA model.
• detect_anomalies: (bool) Specifies whether to detect anomalies.
• anomaly_threshold: (int) Threshold for detecting anomalies.

detect_anomalies_in_series

pv.detect_anomalies_in_series(data, threshold=3)

Detects anomalies in a time series.

Parameters

• data: (list or numpy array) Numerical data.
• threshold: (int) Threshold for detecting anomalies.

clean_data

pv.clean_data(data, method='fillna', fill_value=0)

Cleans the data.

Parameters

• data: (dict or pandas DataFrame) Data to be cleaned.
• method: (str) Method to use for cleaning the data ('fillna', 'dropna').
• fill_value: (any) Value to fill NaNs with if 'fillna' method is used.

set_theme

pv.set_theme(theme)

Sets the theme for the charts.

Parameters

• theme: (dict) Dictionary with keys 'background_color', 'grid_color', 'line_color', 'font_family'.

live_line_chart

pv.live_line_chart(data, title="Live Line Chart", xlabel="X Axis", ylabel="Y Axis", color='blue')

Creates a live line chart.

Parameters

• data: (list) List of numerical values.
• title: (str) Title of the chart.
• xlabel: (str) Label for the X-axis.
• ylabel: (str) Label for the Y-axis.
• color: (str) Color of the line.

live_bar_chart

pv.live_bar_chart(data, title="Live Bar Chart", xlabel="Category", ylabel="Value", color='blue')

Creates a live bar chart.

Parameters

• data: (dict) Dictionary with categories as keys and numerical values as values.
• title: (str) Title of the chart.
• xlabel: (str) Label for the X-axis.
• ylabel: (str) Label for the Y-axis.
• color: (str) Color of the bars.

generate_report

pv.generate_report(report_data, format='pdf', output_path='report.pdf')

Generates a report.

Parameters

• report_data: (dict) Dictionary with details of the report.
• format: (str) Format of the report ('pdf', 'html').
• output_path: (str) Path to save the report.

basic_analysis

pv.basic_analysis(data)

Performs basic analysis on the data.

Parameters

• data: (list) List of numerical values.

advanced_analysis

pv.advanced_analysis(data)

Performs advanced analysis on the data.

Parameters

• data: (list) List of numerical values.