AREA PLOT

import matplotlib.pyplot as plt
import numpy as np

COLORS = ["#A8552E", "#35666E", "#D0A64F", "#3F2E18", "#7E8F52"]

np.random.seed(42)
x = np.arange(1, 25)
y = 50 + 5 * np.sin(x / 3) + np.random.normal(0, 2, len(x))

fig, ax = plt.subplots(figsize=(9, 5))

ax.fill_between(x, y, color=COLORS[0], alpha=0.35, zorder=1)
ax.plot(x, y, color=COLORS[0], linewidth=2.2, zorder=2)

ax.set_title("Area Plot — Single Series", fontsize=15, color=COLORS[3], pad=12)
ax.set_xlabel("Time", fontsize=12, color=COLORS[3])
ax.set_ylabel("Value", fontsize=12, color=COLORS[3])
ax.tick_params(axis="both", colors=COLORS[3])

for s in ("top", "right"):
    ax.spines[s].set_visible(False)
ax.spines["left"].set_color(COLORS[3])
ax.spines["bottom"].set_color(COLORS[3])

plt.tight_layout()
plt.show()

import matplotlib.pyplot as plt
import numpy as np

COLORS = ["#A8552E", "#35666E", "#D0A64F", "#3F2E18", "#7E8F52"]

np.random.seed(0)
x = np.arange(1, 25)
series = {
    "Series A": 20 + 5 * np.sin(x / 4) + np.random.normal(0, 1.5, len(x)),
    "Series B": 15 + 4 * np.cos(x / 5) + np.random.normal(0, 1.5, len(x)),
    "Series C": 12 + 3 * np.sin(x / 3 + 1) + np.random.normal(0, 1.5, len(x)),
    "Series D": 10 + 2 * np.cos(x / 6) + np.random.normal(0, 1.5, len(x)),
}

fig, ax = plt.subplots(figsize=(9.5, 5.5))

ax.stackplot(
    x, *series.values(),
    labels=list(series.keys()),
    colors=COLORS[:len(series)],
    alpha=0.85,
    edgecolor="white",
    linewidth=0.8,
)

ax.set_title("Stacked Area Plot", fontsize=15, color=COLORS[3], pad=12)
ax.set_xlabel("Time", fontsize=12, color=COLORS[3])
ax.set_ylabel("Cumulative Value", fontsize=12, color=COLORS[3])
ax.tick_params(axis="both", colors=COLORS[3])

# 图例放右上，横排两列
ax.legend(frameon=False, fontsize=10, labelcolor=COLORS[3],
          loc="upper right", ncol=2)

for s in ("top", "right"):
    ax.spines[s].set_visible(False)
ax.spines["left"].set_color(COLORS[3])
ax.spines["bottom"].set_color(COLORS[3])

plt.tight_layout()
plt.show()

import matplotlib.pyplot as plt
import numpy as np

COLORS = ["#A8552E", "#35666E", "#D0A64F", "#3F2E18", "#7E8F52"]

np.random.seed(1)
x = np.arange(1, 25)
series = {
    "Series A": 20 + 5 * np.sin(x / 4) + np.random.normal(0, 1, len(x)),
    "Series B": 15 + 4 * np.cos(x / 5) + np.random.normal(0, 1, len(x)),
    "Series C": 12 + 3 * np.sin(x / 3 + 1) + np.random.normal(0, 1, len(x)),
}
data = np.array([np.abs(v) for v in series.values()])
data_pct = data / data.sum(axis=0) * 100

fig, ax = plt.subplots(figsize=(9.5, 5.5))

ax.stackplot(
    x, *data_pct,
    labels=list(series.keys()),
    colors=COLORS[:len(series)],
    alpha=0.85,
    edgecolor="white",
    linewidth=0.8,
)

ax.set_ylim(0, 100)
ax.set_yticks([0, 25, 50, 75, 100])
ax.set_yticklabels(["0%", "25%", "50%", "75%", "100%"])

# ---- 标题上移，给图例留出空间 ----
ax.set_title(
    "100% Stacked Area Plot",
    fontsize=15, color=COLORS[3],
    pad=38,          # 原来 12，加大到 38 把标题顶上去
)

ax.set_xlabel("Time", fontsize=12, color=COLORS[3])
ax.set_ylabel("Share", fontsize=12, color=COLORS[3])
ax.tick_params(axis="both", colors=COLORS[3])

# ---- 图例紧贴坐标轴上方，位于标题下方 ----
ax.legend(
    frameon=False, fontsize=10, labelcolor=COLORS[3],
    loc="lower left",
    bbox_to_anchor=(0, 1.02),
    ncol=3,
)

for s in ("top", "right"):
    ax.spines[s].set_visible(False)
ax.spines["left"].set_color(COLORS[3])
ax.spines["bottom"].set_color(COLORS[3])

plt.tight_layout()
plt.show()

import matplotlib.pyplot as plt
import numpy as np

COLORS = ["#A8552E", "#35666E", "#D0A64F", "#3F2E18", "#7E8F52"]

# ---- 新的数据：同时跨越基准线上下 ----
np.random.seed(7)
x = np.arange(1, 31)
# 正弦趋势 + 缓慢上升的漂移 + 噪声
y = (6 * np.sin(x / 5)                      # 主要波动，上下穿越 0
     + 0.35 * x                             # 缓慢上升的趋势
     - 5)                                   # 让起点在 0 附近
y = y + np.random.normal(0, 1.2, len(x))    # 叠加噪声
y = y - y[0]                                # 强制起点为 0，便于视觉对照
baseline = 0
# ---------------------------------------

fig, ax = plt.subplots(figsize=(9.5, 5.5))

# 高于基准线 → 主色
ax.fill_between(x, y, baseline, where=(y >= baseline),
                color=COLORS[0], alpha=0.45,
                interpolate=True, label="Above baseline", zorder=1)
# 低于基准线 → 深青
ax.fill_between(x, y, baseline, where=(y < baseline),
                color=COLORS[1], alpha=0.45,
                interpolate=True, label="Below baseline", zorder=1)

ax.plot(x, y, color=COLORS[3], linewidth=2.0, zorder=2)
ax.axhline(baseline, color=COLORS[3], linewidth=1.0,
           linestyle="--", alpha=0.6, zorder=2)

ax.set_title("Area Plot with Baseline", fontsize=15, color=COLORS[3], pad=12)
ax.set_xlabel("Time", fontsize=12, color=COLORS[3])
ax.set_ylabel("Value", fontsize=12, color=COLORS[3])
ax.tick_params(axis="both", colors=COLORS[3])
ax.legend(frameon=False, fontsize=10, labelcolor=COLORS[3], loc="upper left")

for s in ("top", "right"):
    ax.spines[s].set_visible(False)
ax.spines["left"].set_color(COLORS[3])
ax.spines["bottom"].set_color(COLORS[3])

plt.tight_layout()
plt.show()