heatmap.py

import numpy as np
import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
sns.set()

sps = 3.75e6
samples_per_us = sps*1e-6

max_range_us = samples_num/samples_per_us
max_range_m = (max_range_us*299792458*1e-6)/2
linear = np.linspace(0, max_range_us, samples_num)
linear = np.floor(linear)

df = pd.DataFrame(plot, columns=linear)
ax = sns.heatmap(df, cmap='viridis')
plt.title('Pulse Radar Bursts - Passive Monitoring w/ LimeSDR')
plt.ylabel('Bursts')
plt.xlabel('Microseconds')
plt.show()