📊 View as a histogram

---

source

plot

def plot(
    x:Tensor, # Tensor to explore
    center:str='zero', # Center plot on  `zero`, `mean`, or `range`
    max_s:int=10000, # Draw up to this many samples. =0 to draw all
    plt0:Any=True, # Take zero values into account
    ax:Optional=None, # Optionally provide a matplotlib axes.
)->PlotProxy:

torch.manual_seed(42)
t = torch.randn(100000)+3
plot(t)

plot(t, center="range")

plot(t, center="mean")

plot(torch.nn.functional.relu(t-3))

plot(torch.nn.functional.relu(t-3), plt0=False)

fig, ax, = plt.subplots(figsize=(6, 2))
fig.tight_layout()
plot(t, ax=ax);