Random data:

    import numpy as np
    import pandas as pd
    import matplotlib.pyplot as plt

    data = pd.DataFrame(np.random.normal(size=(20,4)))
    data

                0           1           2          3
    0   -0.710006   -0.748083   -1.261515    0.048941
    1    0.856541    0.533073    0.649113   -0.236297
    2   -0.091005   -0.244658   -2.194779    0.632878
    3   -0.059058    0.807661   -0.418446   -0.295255
    4   -0.103701    0.775622    0.258412    0.024411
    5   -0.447976   -0.034419   -1.521598   -0.903301
    6    1.451105    0.549661   -1.655751   -0.147499
    7    1.479374   -1.475347    0.665726    0.236611
    8   -1.427979   -1.812916    0.522802    0.006066
    9    0.198515    1.203476   -0.475389   -1.721707
    10   0.286255    0.564450    0.590050   -0.657811
    11  -1.076161    1.820218   -0.315127   -0.848114
    12   0.061848    0.303502    0.978169    0.024630
    13  -0.307827   -1.047835    0.547052   -0.647217
    14   0.679214    0.734134    0.158803   -0.334951
    15   0.469675    1.043391   -1.449727    1.335354
    16  -0.483831   -0.988185    0.264027   -0.831833
    17  -2.013968   -0.200699    1.076526    1.275300
    18  -0.199473   -1.630597   -1.697146   -0.177458
    19   1.245289    0.132349    1.054312   -0.082550

    data.boxplot(vert= False, figsize = (15,10))

I want to add red dots to the box plot indicating the last value (bottom) in each column. For example (red dots I've edited in are not in their exact position, but this gives you a general idea):

Thank you.

CodePudding user response：

You could just add a scatter plot on top of the boxplot. For the provided example, it looks like this:

fig, ax = plt.subplots(figsize=(8,5))
df.boxplot(vert= False, patch_artist=True, ax=ax, zorder=1)
lastrow = df.iloc[-1,:]
print(lastrow)
ax.scatter(x=lastrow, y=[*range(1,len(lastrow) 1)], color='r', zorder=2)