datavistaflow 0.0.16

An data visualization library to generate dynamic plots

Datavistaflow

[This python package is under development]

Installation

Install by typing the following command in the terminal

pip install datavistaflow

Usage

1. Line plot animation

A line graph plotter to create animated graphical visuals.
Parameters:
input : list of tuples containing data to be plotted as a line graph. Each tuple represents a line graph. ex: [(x1_data, y1_data), (x1_data, y1_data)]
plot_style (optional): defines the plot's style.
xlim (optional): defines the x axis limit
ylim (optional): defines the y axis limit
title (optional): Title of the plot
xlabel (optional): defines the x axis label
ylabel (optional): defines the y axis label
n_frames (optional): total number of frames in the animation
frame_interval (optional): time interval between two consecutive frames in milli seconds. Default: 100ms
save (optional): save animation as a GIF

from datavistaflow import plot_line_animation

y1 = [10,20,30,25,60,70,30,12,155,245,223,123,454,22,455,2,22,31]
x1 = list(range(len(y1)))
y2 = [12,-23,31,-23,-62,72,-32]
x2 = list(range(len(y2)))
plot_line_animation(input = [(x1,y1),(x2,y2)], n_frames = len(x1), ylim=[-100,500], xlim=[0,20], xlabel = 'x axis', ylabel = 'y axis', title= 'Test', legend_label= ['y1', 'y2'], plot_style = 'ggplot', save = True, save_animation_name='line_test_animation.gif')

2. Scatter plot animation
   

A scatter graph plotter to create animated graphical visuals.
Parameters:
input : list of tuples containing data to be plotted as a line graph. Each tuple represents a line graph. ex: [(x1_data, y1_data), (x1_data, y1_data)]
plot_style (optional): defines the plot's style.
xlim (optional): defines the x axis limit
ylim (optional): defines the y axis limit
title (optional): Title of the plot
xlabel (optional): defines the x axis label
ylabel (optional): defines the y axis label
n_frames (optional): total number of frames in the animation
frame_interval (optional): time interval between two consecutive frames in milli seconds. Default: 100ms
save (optional): save animation as a GIF

from datavistaflow import plot_scatter_animation

y1 = [10,20,30,25,60,70,30,12,155,245,223,123,454,22,455,2,22,31]
x1 = list(range(len(y1)))
y2 = [12,-23,31,-23,-62,72,-32]
x2 = list(range(len(y2)))
plot_scatter_animation(input = [(x1,y1),(x2,y2)], n_frames = len(x1), ylim=[-100,500], xlim=[0,20], xlabel = 'x axis', ylabel = 'y axis', title= 'Test', legend_label= ['y1', 'y2'], plot_style = 'ggplot', save = True, save_animation_name='line_test_animation.gif')