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)
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?
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:
Here is a way using fill_between
.
ax = df.plot(kind = "bar", stacked = True)
plt.fill_between(x = [ax.patches[0].get_x() + ax.patches[0].get_width(),
ax.patches[1].get_x()],
y1 = 0,
y2 = [ax.patches[0].get_y() + ax.patches[0].get_height(),
ax.patches[1].get_y() + ax.patches[1].get_height()],
color = ax.patches[0].get_facecolor(), alpha=0.5)
plt.fill_between(x = [ax.patches[2].get_x() + ax.patches[2].get_width(),
ax.patches[3].get_x()],
y1 = [ax.patches[0].get_y() + ax.patches[0].get_height(),
ax.patches[1].get_y() + ax.patches[1].get_height()],
y2 = [ax.patches[2].get_y() + ax.patches[2].get_height(),
ax.patches[3].get_y() + ax.patches[3].get_height()],
color = ax.patches[2].get_facecolor(), alpha=0.5)
plt.plot()
Ok. I found an easy way myself using ax.fill_between()
. For x, I specify [0.25, 0.75]. 0.25 refers to the right edge of bar for X and 0.75 refers to the left edge of bar for Y. The positions in X-axis with ticks for X and Y are 0 and 1 respectively.
For y1 and y2, I specify the y-coordinates of lower and upper edges to be filled in between respectively.
fig, ax = plt.subplots() ax = df.plot(kind = "bar", stacked = True, ax = ax, color = ["blue","orange"]) ax.fill_between(x =[0.25,0.75], y1 = [0, 0], y2 = [5, 10], color = "blue", alpha = 0.5) ax.fill_between(x =[0.25, 0.75], y1 = [5, 10], y2 = [12, 15], color = "orange", alpha = 0.5) plt.show()
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