Stacked line plots¶

In [1]:

import sys

import matplotlib.pyplot as plt
import numpy as np
import plotly.graph_objects as go

sys.path.append("..")

import arcadia_pycolor as apc

apc.mpl.setup()
apc.plotly.setup()

import sys import matplotlib.pyplot as plt import numpy as np import plotly.graph_objects as go sys.path.append("..") import arcadia_pycolor as apc apc.mpl.setup() apc.plotly.setup()

In [2]:

lines = np.random.rand(10, 20)

lines = np.random.rand(10, 20)

1. Stacked line plot with Matplotlib¶

In [3]:

fig, axes = plt.subplots(
    nrows=len(lines),
    figsize=(5, 8),
)

colors = [apc.aegean, apc.gray, apc.dragon]

cmap = apc.Gradient(
    name="",
    colors=colors,
).to_mpl_cmap()

for i, line in enumerate(lines):
    ax = axes[i]  # type: ignore
    color = cmap(i / len(lines))
    ax.plot(line, color=color)
    apc.mpl.style_plot(axes=ax, monospaced_axes="all")
    ax.set_yticks([])

    if i != len(lines) - 1:
        ax.spines["bottom"].set_visible(False)
        ax.set_xticks([])
    else:
        ax.set_xlabel("Time (s)")

fig.supylabel("Brightness")

fig.subplots_adjust(hspace=0)

fig, axes = plt.subplots( nrows=len(lines), figsize=(5, 8), ) colors = [apc.aegean, apc.gray, apc.dragon] cmap = apc.Gradient( name="", colors=colors, ).to_mpl_cmap() for i, line in enumerate(lines): ax = axes[i] # type: ignore color = cmap(i / len(lines)) ax.plot(line, color=color) apc.mpl.style_plot(axes=ax, monospaced_axes="all") ax.set_yticks([]) if i != len(lines) - 1: ax.spines["bottom"].set_visible(False) ax.set_xticks([]) else: ax.set_xlabel("Time (s)") fig.supylabel("Brightness") fig.subplots_adjust(hspace=0)

2. Stacked line plot with Plotly¶

In [4]:

gradient = apc.Gradient(
    name="aegean_to_dragon",
    colors=colors,
).to_plotly_colorscale()

fig = go.Figure()

for i, line in enumerate(lines):
    fig.add_trace(
        go.Scatter(
            x=list(range(len(line))),
            y=line + (i * 1.25),
            mode="lines",
            name=f"line_{i}",
            line=dict(color=gradient[i * 25][1]),
        )
    )

fig.update_layout(
    xaxis=dict(title="Time (s)"),
    yaxis=dict(title="Brightness"),
    showlegend=False,
    width=360,
    height=520,
    margin=dict(l=50, b=70, r=30, t=30),
)

apc.plotly.set_xticklabel_monospaced(fig)
apc.plotly.hide_yaxis_ticks(fig)

fig.show()

gradient = apc.Gradient( name="aegean_to_dragon", colors=colors, ).to_plotly_colorscale() fig = go.Figure() for i, line in enumerate(lines): fig.add_trace( go.Scatter( x=list(range(len(line))), y=line + (i * 1.25), mode="lines", name=f"line_{i}", line=dict(color=gradient[i * 25][1]), ) ) fig.update_layout( xaxis=dict(title="Time (s)"), yaxis=dict(title="Brightness"), showlegend=False, width=360, height=520, margin=dict(l=50, b=70, r=30, t=30), ) apc.plotly.set_xticklabel_monospaced(fig) apc.plotly.hide_yaxis_ticks(fig) fig.show()