Matplotlib print values on bars in subplots-CodePudding

Using the above code, I have created 5 five subplots:

values = {"x_values" : ["ENN", "CNN", "ENN-CNN"],
"eu" : [11, 79.97, 91],
"man" : [11, 80, 90],
"min3" : [11, 79.70, 90],
"min4" : [11, 79.50, 90],
"che" : [12, 78, 89]}

df = pd.DataFrame(data=values)

fig, axs = plt.subplots(2, 3, figsize=(10,6))

eu = axs[0, 0].bar(df["x_values"], df["eu"]
man = axs[0, 1].bar(df["x_values"], df["man"])
min3 = axs[0, 2].bar(df["x_values"], df["min3"])
min4 = axs[1, 0].bar(df["x_values"], df["min4"])
che = axs[1, 1].bar(df["x_values"], df["che"])
fig.delaxes(axs[1, 2])

They print as they should, but I also want to add to the bars the y value of every bar. Just like in the picture

CodePudding user response：

with texts it can be done like this:

for ax in axs.flatten():
    for bar in ax.patches:
        ax.text(bar.get_x()   bar.get_width() / 2, 
                bar.get_height()-7,
                bar.get_height(), 
                ha='center',
                color='w')