import numpy as np import pandas as pd import matplotlib.pyplot as plt import matplotlib as mpl df=pd.DataFrame() t1 = np.arange(1, 9.0, 1) df['TIME'] = t1 df['DAT1'] = t1 df['DAT2'] = np.arange(9, 1.0, -1) fig = plt.figure(constrained_layout=True) gs = mpl.gridspec.GridSpec(2, 3, figure=fig) ax1 = fig.add_subplot(gs[0, :]) ax3 = fig.add_subplot(gs[1, :]) color = 'tab:red' ax1.set_xlabel('time (s)') ax1.set_ylabel('exp', color=color) df.plot(ax=ax1, x='TIME', y='DAT1') ax1.tick_params(axis='y', labelcolor=color) **ax2 = ax1.twinx() # instantiate a second axes that shares the same x-axis color = 'tab:blue' ax2.set_ylabel('sin', color=color) # we already handled the x-label with ax1 df.plot(ax=ax1, x='TIME', y='DAT2') ax2.tick_params(axis='y', labelcolor=color)** fig.tight_layout() # otherwise the right y-label is slightly clipped plt.show()