Remove anti-aliasing for pandas plot.area

Question

I want to plot stacked areas with Python, and find out this Pandas' function:

df = pd.DataFrame(np.random.rand(10, 4), columns=['a', 'b', 'c', 'd'])
df.plot.area();

However, the result is weirdly antialiased, mixing together the colors, as shown on those 2 plots:

The same problem occurs in the example provided in the documentation.

Do you know how to remove this anti-aliasing? (Or another mean to get a neat output for stacked representation of line plots.)

Answer 1

Using a matplotlib stack plot works fine

fig, ax = plt.subplots()
df = pd.DataFrame(np.random.rand(10, 4), columns=['a', 'b', 'c', 'd'])
ax.stackplot(df.index, df.values.T)

Since the area plot is a stackplot, the only difference would be the linewidth of the areas, which you can set to zero.

df = pd.DataFrame(np.random.rand(10, 4), columns=['a', 'b', 'c', 'd'])
df.plot.area(linewidth=0)

The remaining grayish lines are then indeed due to antialiasing. You may turn that off in the matplotlib plot

fig, ax = plt.subplots()
ax.stackplot(df.index, df.values.T, antialiased=False)

The result however, may not be visually appealing:

Answer 2

It looks like there are two boundaries.
Try a zero line width:

df.plot.area(lw=0);