Plotting different dataframe data in subplots - python-3.x

Question

I'm trying to plot data in two dataframes in two subplots. I'm referring to this link
import pandas as pd
import numpy as np
from pprint import pprint
from matplotlib import pyplot as plt
df1 = pd.DataFrame(np.random.randn(10, 10))
df2 = pd.DataFrame(np.random.randn(10, 10))
plt.figure()
fig, axes = plt.subplots(nrows=1, ncols=2)
df1.plot(ax=axes[0, 0], style='o-')
axes[0, 0].set_xlabel('x')
axes[0, 0].set_ylabel('y')
axes[0, 0].set_title('ttl')
df2.plot(ax=axes[0, 1], style='o-')
axes[0, 1].set_xlabel('x')
axes[0, 1].set_ylabel('y')
axes[0, 1].set_title('ttl')
However, I get the following error
df1.plot(ax=axes[0, 0], style='o-')
IndexError: too many indices for array
Any suggestions on how to resolve this will be really helpful.
EDIT: The answer provided below works for 1 row with 2 cols
I'm facing an error for 2 rows and 2 cols
import pandas as pd
import numpy as np
from pprint import pprint
from matplotlib import pyplot as plt
df1 = pd.DataFrame(np.random.randn(10, 10))
df2 = pd.DataFrame(np.random.randn(10, 10))
df3 = pd.DataFrame(np.random.randn(10, 10))
df4 = pd.DataFrame(np.random.randn(10, 10))
pprint(df1)
plt.figure()
fig, axes = plt.subplots(nrows=2, ncols=2)
df1.plot(ax=axes[0], style='o-')
axes[0].set_xlabel('x')
axes[0].set_ylabel('y')
axes[0].set_title('ttl')
df2.plot(ax=axes[1], style='o-')
axes[1].set_xlabel('x')
axes[1].set_ylabel('y')
axes[1].set_title('ttl')
df3.plot(ax=axes[2], style='o-')
axes[2].set_xlabel('x')
axes[2].set_ylabel('y')
axes[2].set_title('ttl')
df4.plot(ax=axes[3], style='o-')
axes[3].set_xlabel('x')
axes[3].set_ylabel('y')
axes[3].set_title('ttl')
plt.show()
Error:
AttributeError: 'numpy.ndarray' object has no attribute 'get_figure'
Any suggestions?

Answer 1

Axes are one dimensional, you have to do like this:
df1.plot(ax=axes[0], style='o-')
df2.plot(ax=axes[1], style='o-')
I suggest reading this, look at the squeeze parameter and you will understand this is happening.