Merge matplotlib subplots with shared x-axis

Look at the code and comments in it:

import matplotlib.pyplot as plt
import numpy as np
from matplotlib import gridspec

# Simple data to display in various forms
x = np.linspace(0, 2 * np.pi, 400)
y = np.sin(x ** 2)

fig = plt.figure()
# set height ratios for subplots
gs = gridspec.GridSpec(2, 1, height_ratios=[2, 1]) 

# the first subplot
ax0 = plt.subplot(gs[0])
# log scale for axis Y of the first subplot
ax0.set_yscale("log")
line0, = ax0.plot(x, y, color='r')

# the second subplot
# shared axis X
ax1 = plt.subplot(gs[1], sharex = ax0)
line1, = ax1.plot(x, y, color='b', linestyle='--')
plt.setp(ax0.get_xticklabels(), visible=False)
# remove last tick label for the second subplot
yticks = ax1.yaxis.get_major_ticks()
yticks[-1].label1.set_visible(False)

# put legend on first subplot
ax0.legend((line0, line1), ('red line', 'blue line'), loc='lower left')

# remove vertical gap between subplots
plt.subplots_adjust(hspace=.0)
plt.show()

Here is my solution:

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 2 * np.pi, 400)
y = np.sin(x ** 2)

fig, (ax1,ax2) = plt.subplots(nrows=2, sharex=True, subplot_kw=dict(frameon=False)) # frameon=False removes frames

plt.subplots_adjust(hspace=.0)
ax1.grid()
ax2.grid()

ax1.plot(x, y, color='r')
ax2.plot(x, y, color='b', linestyle='--')

One more option is seaborn.FacetGrid but this requires Seaborn and Pandas libraries.