spkit.hist_plot¶
- spkit.hist_plot(x, norm=False, bins='fd', show=False)¶
Plot histogram with optimal number of bins (FD).
- Parameters:
- norm: bool - if norm = True, plot is probability disctribution, else frequency
- bins: str, int. if str method to compute number of bins, if int, number of bins
- Returns:
- display: histogram plot
Examples
#sp.hist_plot import numpy as np import matplotlib.pyplot as plt import spkit as sp X, fs, ch_names = sp.data.eeg_sample_14ch() x1 = X[:500,0] sp.hist_plot(x1) x2 = X[800:1200,0] sp.hist_plot(x2) plt.xlabel('x') plt.ylabel('count') plt.show()
