How to fill or shade area between two corresponding points in stacked bar plots in Python using matp-CodePudding

I have a dataframe df which looks as follows:

A   B
X   5   7
Y   10  5

df.to_dict() gives the following:

{'A': {'X': 5, 'Y': 10}, 'B': {'X': 7, 'Y': 5}}

I have created a stacked bar plot using

df.plot(kind = "bar", stacked = True)

It look as follows:

I want to shade the region between A in X and Y bar, and the same for B. The shaded region reflect how the value of A and B has changed between X and Y. It should look something as shown:

How can I fill areas in between these two stacked bar plots using matplotlib in Python keeping the original structure of bar plot intact?

CodePudding user response：

Here's another fill_between with more general approach:

# loop through the bars to get the bottom and top points
bottoms = []
tops = []
for patch in ax.patches:
    x,y = patch.get_xy()
    w,h = patch.get_width(), patch.get_height()
    
    bottoms  = [(x,y), (x w, y)]
    tops  = [(x, y h), (x w, y h)]

# convert to numpy for easy slicing
tops = np.array(tops)
bottoms = np.array(bottoms)

# extract the x coordinates
x = np.unique(bottoms[:,0])
num_x = len(x)

# fill between each bottom and top pairs
for i in range(0, len(bottoms), num_x):
    plt.fill_between(x, tops[i:i num_x, 1], bottoms[i:i num_x, 1], alpha=0.5)

Output:

CodePudding user response：

Here is a way using