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x = np.array([1,2,3,4,5])
y1 = np.array([3,4,5,1,2])
y2 = np.array([2,1,4,6,5])
plt.fill(x, y1, 'b', x, y2, 'r', alpha=0.3)
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[<matplotlib.patches.Polygon at 0x7f0efff73bd0>,
<matplotlib.patches.Polygon at 0x7f0efff586d0>]
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colors=np.random.rand(5)
area=(30*np.random.rand(5))**2
print(area)
plt.scatter(x,y1,s=area,alpha=0.6,c=colors)
[4.90499346e+02 3.70129905e+02 4.63484403e-03 5.01227914e+02
1.57868686e+00]
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<matplotlib.collections.PathCollection at 0x7f0efbf9a8d0>
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# 3D
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure(figsize=(12, 8))
ax = Axes3D(fig)
'''
fig = plt.figure(figsize=(12, 8))
ax = fig.gca(projection='3d')
'''
delta = 0.125
# 生成代表X轴数据的列表
x = np.arange(-3.0, 3.0, delta)
# 生成代表Y轴数据的列表
y = np.arange(-2.0, 2.0, delta)
# 对x、y数据执行网格化
X, Y = np.meshgrid(x, y)
Z1 = np.exp(-X**2 - Y**2)
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
# 计算Z轴数据（高度数据）
Z = (Z1 - Z2) * 2
# 绘制3D图形
surf = ax.plot_surface(X, Y, Z,
rstride=1, # rstride（row）指定行的跨度
cstride=1, # cstride(column)指定列的跨度
cmap=plt.get_cmap('rainbow')) # 设置颜色映射
# 设置Z轴范围
ax.set_zlim(-2, 2)
# 设置标题
plt.title("3D图")
fig.colorbar(surf, shrink=0.5, aspect=5)
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<matplotlib.colorbar.Colorbar at 0x7f0efbec8f50>
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/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:214: RuntimeWarning: Glyph 22270 missing from current font.
font.set_text(s, 0.0, flags=flags)
/usr/local/lib/python3.7/dist-packages/matplotlib/backends/backend_agg.py:183: RuntimeWarning: Glyph 22270 missing from current font.
font.set_text(s, 0, flags=flags)
