SciStack

Sign in

numpy.zeros

Python. Called in 4 tutorials; each line below leads to its place in the tutorial.

ToolPythonBeginner

Classification with scikit-learn: telling two populations apart

y = np.concatenate([np.ones(600, dtype=int), np.zeros(1400, dtype=int)]) # 1 = signal, 0 = background
y_fresh = np.concatenate([np.ones(n_signal, dtype=int), np.zeros(10**6 - n_signal, dtype=int)])

ToolPythonBeginner

Counting cells with scipy.ndimage: how many are there, and how large?

ToolPythonBeginner

Eigenvalues with numpy.linalg: normal modes of coupled oscillators

ax.plot(rest, np.zeros(3), "o", color=INK, ms=11, zorder=3)

ToolPythonIntermediate

Filtering with scipy.signal: mains hum and noise out of an ECG

step = np.r_[np.zeros(500), np.ones(500)]