.. only:: html .. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_userdemo_colormap_normalizations.py: ======================= Colormap Normalizations ======================= Demonstration of using norm to map colormaps onto data in non-linear ways. .. code-block:: default import numpy as np import matplotlib.pyplot as plt import matplotlib.colors as colors Lognorm: Instead of pcolor log10(Z1) you can have colorbars that have the exponential labels using a norm. .. code-block:: default N = 100 X, Y = np.mgrid[-3:3:complex(0, N), -2:2:complex(0, N)] # A low hump with a spike coming out of the top. Needs to have # z/colour axis on a log scale so we see both hump and spike. linear # scale only shows the spike. Z1 = np.exp(-X**2 - Y**2) Z2 = np.exp(-(X * 10)**2 - (Y * 10)**2) Z = Z1 + 50 * Z2 fig, ax = plt.subplots(2, 1) pcm = ax[0].pcolor(X, Y, Z, norm=colors.LogNorm(vmin=Z.min(), vmax=Z.max()), cmap='PuBu_r') fig.colorbar(pcm, ax=ax[0], extend='max') pcm = ax[1].pcolor(X, Y, Z, cmap='PuBu_r') fig.colorbar(pcm, ax=ax[1], extend='max') .. image:: /gallery/userdemo/images/sphx_glr_colormap_normalizations_001.png :alt: colormap normalizations :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out Out: .. code-block:: none /root/matplotlib/examples/userdemo/colormap_normalizations.py:30: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3. Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading']. This will become an error two minor releases later. pcm = ax[0].pcolor(X, Y, Z, /root/matplotlib/examples/userdemo/colormap_normalizations.py:35: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3. Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading']. This will become an error two minor releases later. pcm = ax[1].pcolor(X, Y, Z, cmap='PuBu_r') PowerNorm: Here a power-law trend in X partially obscures a rectified sine wave in Y. We can remove the power law using a PowerNorm. .. code-block:: default X, Y = np.mgrid[0:3:complex(0, N), 0:2:complex(0, N)] Z1 = (1 + np.sin(Y * 10.)) * X**2 fig, ax = plt.subplots(2, 1) pcm = ax[0].pcolormesh(X, Y, Z1, norm=colors.PowerNorm(gamma=1. / 2.), cmap='PuBu_r') fig.colorbar(pcm, ax=ax[0], extend='max') pcm = ax[1].pcolormesh(X, Y, Z1, cmap='PuBu_r') fig.colorbar(pcm, ax=ax[1], extend='max') .. image:: /gallery/userdemo/images/sphx_glr_colormap_normalizations_002.png :alt: colormap normalizations :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out Out: .. code-block:: none /root/matplotlib/examples/userdemo/colormap_normalizations.py:48: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3. Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading']. This will become an error two minor releases later. pcm = ax[0].pcolormesh(X, Y, Z1, norm=colors.PowerNorm(gamma=1. / 2.), /root/matplotlib/examples/userdemo/colormap_normalizations.py:52: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3. Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading']. This will become an error two minor releases later. pcm = ax[1].pcolormesh(X, Y, Z1, cmap='PuBu_r') SymLogNorm: two humps, one negative and one positive, The positive with 5-times the amplitude. Linearly, you cannot see detail in the negative hump. Here we logarithmically scale the positive and negative data separately. Note that colorbar labels do not come out looking very good. .. code-block:: default X, Y = np.mgrid[-3:3:complex(0, N), -2:2:complex(0, N)] Z1 = 5 * np.exp(-X**2 - Y**2) Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2) Z = (Z1 - Z2) * 2 fig, ax = plt.subplots(2, 1) pcm = ax[0].pcolormesh(X, Y, Z1, norm=colors.SymLogNorm(linthresh=0.03, linscale=0.03, vmin=-1.0, vmax=1.0, base=10), cmap='RdBu_r') fig.colorbar(pcm, ax=ax[0], extend='both') pcm = ax[1].pcolormesh(X, Y, Z1, cmap='RdBu_r', vmin=-np.max(Z1)) fig.colorbar(pcm, ax=ax[1], extend='both') .. image:: /gallery/userdemo/images/sphx_glr_colormap_normalizations_003.png :alt: colormap normalizations :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out Out: .. code-block:: none /root/matplotlib/examples/userdemo/colormap_normalizations.py:70: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3. Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading']. This will become an error two minor releases later. pcm = ax[0].pcolormesh(X, Y, Z1, /root/matplotlib/examples/userdemo/colormap_normalizations.py:76: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3. Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading']. This will become an error two minor releases later. pcm = ax[1].pcolormesh(X, Y, Z1, cmap='RdBu_r', vmin=-np.max(Z1)) Custom Norm: An example with a customized normalization. This one uses the example above, and normalizes the negative data differently from the positive. .. code-block:: default X, Y = np.mgrid[-3:3:complex(0, N), -2:2:complex(0, N)] Z1 = np.exp(-X**2 - Y**2) Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2) Z = (Z1 - Z2) * 2 # Example of making your own norm. Also see matplotlib.colors. # From Joe Kington: This one gives two different linear ramps: class MidpointNormalize(colors.Normalize): def __init__(self, vmin=None, vmax=None, midpoint=None, clip=False): self.midpoint = midpoint colors.Normalize.__init__(self, vmin, vmax, clip) def __call__(self, value, clip=None): # I'm ignoring masked values and all kinds of edge cases to make a # simple example... x, y = [self.vmin, self.midpoint, self.vmax], [0, 0.5, 1] return np.ma.masked_array(np.interp(value, x, y)) ##### fig, ax = plt.subplots(2, 1) pcm = ax[0].pcolormesh(X, Y, Z, norm=MidpointNormalize(midpoint=0.), cmap='RdBu_r') fig.colorbar(pcm, ax=ax[0], extend='both') pcm = ax[1].pcolormesh(X, Y, Z, cmap='RdBu_r', vmin=-np.max(Z)) fig.colorbar(pcm, ax=ax[1], extend='both') .. image:: /gallery/userdemo/images/sphx_glr_colormap_normalizations_004.png :alt: colormap normalizations :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out Out: .. code-block:: none /root/matplotlib/examples/userdemo/colormap_normalizations.py:109: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3. Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading']. This will become an error two minor releases later. pcm = ax[0].pcolormesh(X, Y, Z, /root/matplotlib/examples/userdemo/colormap_normalizations.py:114: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3. Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading']. This will become an error two minor releases later. pcm = ax[1].pcolormesh(X, Y, Z, cmap='RdBu_r', vmin=-np.max(Z)) BoundaryNorm: For this one you provide the boundaries for your colors, and the Norm puts the first color in between the first pair, the second color between the second pair, etc. .. code-block:: default fig, ax = plt.subplots(3, 1, figsize=(8, 8)) ax = ax.flatten() # even bounds gives a contour-like effect bounds = np.linspace(-1, 1, 10) norm = colors.BoundaryNorm(boundaries=bounds, ncolors=256) pcm = ax[0].pcolormesh(X, Y, Z, norm=norm, cmap='RdBu_r') fig.colorbar(pcm, ax=ax[0], extend='both', orientation='vertical') # uneven bounds changes the colormapping: bounds = np.array([-0.25, -0.125, 0, 0.5, 1]) norm = colors.BoundaryNorm(boundaries=bounds, ncolors=256) pcm = ax[1].pcolormesh(X, Y, Z, norm=norm, cmap='RdBu_r') fig.colorbar(pcm, ax=ax[1], extend='both', orientation='vertical') pcm = ax[2].pcolormesh(X, Y, Z, cmap='RdBu_r', vmin=-np.max(Z1)) fig.colorbar(pcm, ax=ax[2], extend='both', orientation='vertical') plt.show() .. image:: /gallery/userdemo/images/sphx_glr_colormap_normalizations_005.png :alt: colormap normalizations :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out Out: .. code-block:: none /root/matplotlib/examples/userdemo/colormap_normalizations.py:127: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3. Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading']. This will become an error two minor releases later. pcm = ax[0].pcolormesh(X, Y, Z, /root/matplotlib/examples/userdemo/colormap_normalizations.py:135: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3. Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading']. This will become an error two minor releases later. pcm = ax[1].pcolormesh(X, Y, Z, norm=norm, cmap='RdBu_r') /root/matplotlib/examples/userdemo/colormap_normalizations.py:138: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3. Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading']. This will become an error two minor releases later. pcm = ax[2].pcolormesh(X, Y, Z, cmap='RdBu_r', vmin=-np.max(Z1)) .. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 2.600 seconds) .. _sphx_glr_download_gallery_userdemo_colormap_normalizations.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: colormap_normalizations.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: colormap_normalizations.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature Keywords: matplotlib code example, codex, python plot, pyplot `Gallery generated by Sphinx-Gallery `_