matplotlib colorbar placement and size
| Property | Description |
|---|---|
| orientation | vertical or horizontal |
| fraction | 0.15; fraction of original axes to use for colorbar |
| pad | 0.05 if vertical, 0.15 if horizontal; fraction of original axes between colorbar and new image axes |
| shrink | 1.0; fraction by which to multiply the size of the colorbar |
| aspect | 20; ratio of long to short dimensions |
| anchor | (0.0, 0.5) if vertical; (0.5, 1.0) if horizontal; the anchor point of the colorbar axes |
| panchor | (1.0, 0.5) if vertical; (0.5, 0.0) if horizontal; the anchor point of the colorbar parent axes. If False, the parent axes’ anchor will be unchanged |
Python Matplotlib: Change Colorbar Tick Width [duplicate]
Set Matplotlib colorbar size to match graph
plt.colorbar(im,fraction=0.046, pad=0.04)
matplotlib contour plot with lognorm - colorbar levels
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LogNorm
delta = 0.025
x = y = np.arange(0, 3.01, delta)
X, Y = np.meshgrid(x, y)
Z1 = plt.mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = plt.mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
Z = 10 * (Z1* Z2)
fig=plt.figure()
ax1 = fig.add_subplot(111)
lvls = np.logspace(-4,0,20)
CF = ax1.contourf(X,Y,Z,
norm = LogNorm(),
levels = lvls
)
CS = ax1.contour(X,Y,Z,
norm = LogNorm(),
colors = 'k',
levels = lvls
)
cbar = plt.colorbar(CF, ticks=lvls, format='%.4f')
plt.show()
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