Hierarchical Axis Labeling In Matplotlib (python)

Suppose I'm looking at an n x n grid and on each axis I have labels of say, animals. But I'm also interested at looking at the relationship between groups, subgroups, etc. of the

Solution 1:

Unfortunately I can't figure out how to disable minor ticks:

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
from mpl_toolkits.axes_grid.parasite_axes import SubplotHost

fig1 = plt.figure()
ax1 = SubplotHost(fig1, 111)
fig1.add_subplot(ax1)

# Some data
x = np.arange(1,6)
y = np.random.random(len(x))

# First X-axis
ax1.plot(x, y)
ax1.set_xticks(x)
ax1.set_xticklabels(['dog', 'cat', 'horse', 'lizard', 'crocodile'])
#ax1.xaxis.set_label_text('First X-axis') # Uncomment to label axis
ax1.yaxis.set_label_text("Sample data")

# Second X-axis
ax2 = ax1.twiny()
offset = 0, -25# Position of the second axis
new_axisline = ax2.get_grid_helper().new_fixed_axis
ax2.axis["bottom"] = new_axisline(loc="bottom", axes=ax2, offset=offset)
ax2.axis["top"].set_visible(False)

ax2.set_xticks([0.0, 0.6, 1.0])
ax2.xaxis.set_major_formatter(ticker.NullFormatter())
ax2.xaxis.set_minor_locator(ticker.FixedLocator([0.3, 0.8]))
ax2.xaxis.set_minor_formatter(ticker.FixedFormatter(['mammal', 'reptiles']))

# Third X-axis
ax3 = ax1.twiny()
offset = 0, -50
new_axisline = ax3.get_grid_helper().new_fixed_axis
ax3.axis["bottom"] = new_axisline(loc="bottom", axes=ax3, offset=offset)
ax3.axis["top"].set_visible(False)

ax3.set_xticks([0.0, 1.0])
ax3.xaxis.set_major_formatter(ticker.NullFormatter())
ax3.xaxis.set_minor_locator(ticker.FixedLocator([0.5]))
ax3.xaxis.set_minor_formatter(ticker.FixedFormatter(['vertebrates']))

ax1.grid(1)
plt.show()

---

EDIT:

1. Disabling minor ticks could be done by setting ticksize to 0 (thanks to @arnsholt): ax2.axis["bottom"].minor_ticks.set_ticksize(0).

2. In latest matplotlib version (3.0.0 or higher) SubplotHost has to be imported as:

   from mpl_toolkits.axisartist.parasite_axes import SubplotHost

Solution 2:

Here is a slightly updated version of @Vadim's answer, because I found a way to do this without SubplotHost. Then you can do this even if you're not creating subplots (for example when working with seaborn figure-level functions).

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker

fig1, ax1 = plt.subplots(1)
# Some data
x = np.arange(1,6)
y = np.random.random(len(x))

# First X-axis
ax1.plot(x, y)
ax1.set_xticks(x)
ax1.set_xticklabels(['dog', 'cat', 'horse', 'lizard', 'crocodile'])
ax1.yaxis.set_label_text("Sample data")

# Second X-axis
ax2 = ax1.twiny()

ax2.spines["bottom"].set_position(("axes", -0.10))
ax2.tick_params('both', length=0, width=0, which='minor')
ax2.tick_params('both', direction='in', which='major')
ax2.xaxis.set_ticks_position("bottom")
ax2.xaxis.set_label_position("bottom")

ax2.set_xticks([0.0, 0.6, 1.0])
ax2.xaxis.set_major_formatter(ticker.NullFormatter())
ax2.xaxis.set_minor_locator(ticker.FixedLocator([0.3, 0.8]))
ax2.xaxis.set_minor_formatter(ticker.FixedFormatter(['mammal', 'reptiles']))

# Third X-axis
ax3 = ax1.twiny()

ax3.spines["bottom"].set_position(("axes", -0.20))
ax3.tick_params('both', length=0, width=0, which='minor')
ax3.tick_params('both', direction='in', which='major')
ax3.xaxis.set_ticks_position("bottom")
ax3.xaxis.set_label_position("bottom")

ax3.set_xticks([0.0, 1.0])
ax3.xaxis.set_major_formatter(ticker.NullFormatter())
ax3.xaxis.set_minor_locator(ticker.FixedLocator([0.5]))
ax3.xaxis.set_minor_formatter(ticker.FixedFormatter(['vertebrates']))

ax1.grid(True)
plt.show()