0.10.1: DataFrame.plot(x='x', y='y') does not correctly plot one column versus another

[bluefir]

df = DataFrame(index=range(100))
df['x'] = np.random.randn(100)
df['y'] = df['x']
df.plot(x='x', y='y', linestyle='None', marker='o')

I expected to see column 'y' plotted against column 'x' and, as such, to see scatter points along the 45-degree line. Instead, I get a strange scatter plot. Am I doing something wrong or is this a bug? If it is a bug, is there a workaround?

[parente]

I believe this is a regression. I noticed that after upgrading to 0.10.1 and re-running some IPy notebooks my scatter plots have shifted. I'll try to work up an example with screenshots if it would help.

[parente]

A workaround in the meantime is to use matplotlib directly:

df = DataFrame(index=range(100))
df['x'] = np.random.randn(100)
df['y'] = df['x']
plt.plot(df.x, df.y, ls='None',  marker='o')

Or go back to 0.10.0 which does not seem to have the problem.

[dieterv77]

I was able to reproduce this with 0.10.1 but am unable to reproduce with current master, so closing this.