CumAnimate class

class postmd.animate.CumAnimate(*args, fps: int = 20, dpi: int = 72, range_mode: str = 'auto', mode: str = 'mean')[source]

Bases: BaseAnimate

The cumulative animation of a set of data, which is usually for show the change of data with number of experiments or cumulative average.

Parameters:

*args – a set of y data (ydata1, ydata2, ...), or x, (ydata1, ydata2, ...). Each ydata should be a 1D array.
fps (int, optional) – Frames per second (FPS) setting for animation. Defaults to 20.
dpi (int, optional) – Dots per inch (DPI) resolution for animation. Defaults to 72.
range_mode (str, optional) – Determines the behavior of x and y limits in the animation. Defaults to 'auto'. - If set to 'auto', the x and y limits will automatically adjust to the data range. - If set to 'fix', the x and y limits will be fixed to a specific range. The fixed range is from the min to max of data plus 5% margin.
mode (str, optional) – "mean", "sum" or "mean". Defaults to None. - If mode="mean", the cumulative average of (ydata1, ydata2, ...) will display in order as animation. The n-th frame is (ydata1+ydata2+...+ydatan)/n - If mode="sum", the cumulative summation of (ydata1, ydata2, ...) will display in order as animation. The n-th frame is ydata1+ydata2+...+ydatan - If mode="sequence", ydata1, ydata2, … will display in sequence as animation

show()[source]: show the animation of data.

save(filename, output_format=None)[source]

save the animation of data to file.

Parameters:

filename (str) – file name to output
output_format (str, optional) – the output format. Now only support gif, mp4, and avi. Defaults to None, meaning the output format is inferred from the filename extension.

Example

import numpy as np
from postmd.animate import CumAnimate

if __name__ == '__main__':
    x_data = np.linspace(0, 10, 100)  # Corresponding x-axis data

    # a set of y data
    y_datas = []
    for i in range(1,101):
        y_data = i * np.sin(np.linspace(0, 2 * np.pi, 100))
        y_datas.append(y_data)


    # ============================= range_mode = auto =============================
    animator_auto_mean = CumAnimate(x_data, y_datas, fps=20, range_mode='auto', mode="mean")
    animator_auto_mean.ax.set_xlabel("Time")
    animator_auto_mean.ax.set_ylabel("Mean of Sine Waves")
    # animator_auto_mean.show()
    animator_auto_mean.save("CumAnimate_range_auto_mode_mean.gif")

    animator_auto_sum = CumAnimate(x_data, y_datas, fps=20, range_mode='auto', mode="sum")
    animator_auto_sum.ax.set_xlabel("Time")
    animator_auto_sum.ax.set_ylabel("Sum of Sine Waves")
    # animator_auto_sum.show()
    animator_auto_sum.save("CumAnimate_range_auto_mode_sum.gif")

    animator_auto = CumAnimate(x_data, y_datas, fps=20, range_mode='auto', mode="sequence")
    animator_auto.ax.set_xlabel("Time")
    animator_auto.ax.set_ylabel("Sine Waves")
    # animator_auto.show()
    animator_auto.save("CumAnimate_range_auto_mode_sequence.gif")


    # ============================ range_mode = fix =============================
    animator_fix_mean = CumAnimate(x_data, y_datas, fps=20, range_mode='fix', mode="mean")
    animator_fix_mean.ax.set_xlabel("Time")
    animator_fix_mean.ax.set_ylabel("Mean of Sine Waves")
    # animator_fix_mean.show()
    animator_fix_mean.save("CumAnimate_range_fix_mode_mean.gif")

    animator_fix_sum = CumAnimate(x_data, y_datas, fps=20, range_mode='fix', mode="sum")
    animator_fix_sum.ax.set_xlabel("Time")
    animator_fix_sum.ax.set_ylabel("Sum of Sine Waves")
    # animator_fix_sum.show()
    animator_fix_sum.save("CumAnimate_range_fix_mode_sum.gif")

    animator_fix = CumAnimate(x_data, y_datas, fps=20, range_mode='fix', mode="sequence")
    animator_fix.ax.set_xlabel("Time")
    animator_fix.ax.set_ylabel("Sine Waves")
    # animator_fix.show()
    animator_fix.save("CumAnimate_range_fix_mode_sequence.gif")

mode=’mean’

mode=’sum’

mode=’sequence’