Combining plt.plot(x,y) with plt.boxplot()

I'm trying to combine a normal matplotlib.pyplot plt.plot(x,y) with variable y as a function of variable x with a boxplot. However, I only wan开发者_开发问答t a boxplot on certain (variable) locations of x but this does not seem to work in matplotlib?

Are you wanting something like this? The positions kwarg to boxplot allows you to place the boxplots at arbitrary positions.

import matplotlib.pyplot as plt
import numpy as np

# Generate some data...
data = np.random.random((100, 5))
y = data.mean(axis=0)
x = np.random.random(y.size) * 10
x -= x.min()
x.sort()

# Plot a line between the means of each dataset
plt.plot(x, y, 'b-')

# Save the default tick positions, so we can reset them...
locs, labels = plt.xticks() 

plt.boxplot(data, positions=x, notch=True)

# Reset the xtick locations.
plt.xticks(locs)
plt.show()

This is what has worked for me:

1. plot box-plot
2. get boxt-plot x-axis tick locations
3. use box-plot x-axis tick locations as x-axis values for the line plot

# Plot Box-plot
ax.boxplot(data, positions=x, notch=True)
# Get box-plot x-tick locations
locs=ax.get_xticks()

# Plot a line between the means of each dataset
# x-values = box-plot x-tick locations
# y-values = means
ax.plot(locs, y, 'b-')