Ajstros
commented
2 years ago @lucask07 I think something like this plot_unique function would work.
import matplotlib.pyplot as plt
import numpy as np
import time
def plt_uniques(data):
"""Plot only the first and last of each group of unique data points to save time and memory.
Parameters
----------
data : np.ndarray
Data to plot.
"""
uniques, indices = np.unique(data, return_index=True) # Get indices of first appearance of unique values
indices = np.append(indices, indices - 1) # Get indices from just before unique values to get first and last of each group of unique values
indices = np.append(indices, len(data) - 1) # Add last index so full data is plotted
indices = np.sort(indices[indices >= 0]) # Sort data for plotting and remove negative indices (-1 from unique at 0)
unique_data = data[indices] # Grab data at indices
plt.plot(indices, unique_data, linestyle='dotted') # Plot dotted line so we can see original underneath
plt.show(block=False)
data = np.array([i // 100 for i in range(1000)])
start = time.time()
plt.plot(data)
plt.show(block=False)
end = time.time()
print(f'Normal plotting: {end - start} seconds')
start = time.time()
plt_uniques(data)
end = time.time()
print(f'Unique plotting: {end - start} seconds')
plt.show()Here is the output when I run the above code. You can try it on your machine to see the graph as well, the lines match up.
Normal plotting: 0.15996980667114258 seconds
Unique plotting: 0.009996891021728516 secondsI think we could put this in the utils module of the pyripherals repo. What do you think?
lucask07
DDR data streams are very long and normally have a repeated value for many many points. We should create a method to find the unique points in a DDR sequence and plot lines between these rather than all points.