secondary_y=True changes x axis in pandas

Question

I\'m trying to plot two series together in Pandas, from different dataframes.

Both their axis are datetime objects, so they can be plotted together:

Answer 1

import matplotlib.pyplot as plt
import pandas as pd
from numpy.random import random

df = pd.DataFrame(random((15,2)),columns=['a','b'])
df.a = df.a*100

fig, ax1 = plt.subplots(1,1)
df.a.plot(ax=ax1, color='blue', label='a')
ax2 = ax1.twinx()
df.b.plot(ax=ax2, color='green', label='b')
ax1.set_ylabel('a')
ax2.set_ylabel('b')
ax1.legend(loc=3)
ax2.legend(loc=0)
plt.show()

Answer 2

I had the same issue, always getting a strange plot when I wanted a secondary_y.

I don't know why no-one mentioned this method in this post, but here's how I got it to work, using the same example as cphlewis:

import matplotlib.pyplot as plt
import pandas as pd
from numpy.random import random

df = pd.DataFrame(random((15,2)),columns=['a','b'])
ax = df.plot(secondary_y=['b'])
plt.show()

Here's what it'll look like