matplotlib/python Same code generate different plots?

Question

I was asking for help in another question and when I try the answer's code I got a different picture. I really want my plot to be the same with the plot that was generated from the answer's author. I am using spyder/pycharm to generate the pictures.

I did not change any matplotlib general settings.

The Code

l = [23948.30, 23946.20, 23961.20, 23971.70, 23956.30, 23987.30]

def box_plot(circ_list):
    fig, ax = plt.subplots()
    plt.boxplot(circ_list, 0, 'rs', 0, showmeans=True)
    plt.ylim((0.28, 1.5))
    ax.set_yticks([])
    labels = ["{}".format(int(i)) for i in ax.get_xticks()]
    ax.set_xticklabels(labels)
    ax.spines['right'].set_color('none')
    ax.spines['top'].set_color('none')
    ax.spines['left'].set_color('none')
    ax.spines['bottom'].set_position('center')
    ax.spines['bottom'].set_color('none')
    ax.xaxis.set_ticks_position('bottom')
    plt.show()

box_plot(l)

The answer's plot

My plot

This is the related question where I got the code from:(also not solved yet please help)

python/matplotlib/seaborn- boxplot on an x axis with data points

You may want to re-write your question. We do not know whT is meant by "I really prefer the plot that was generated from the answer's code." Just read the entries in help center to understand how to write an effective question. — boardrider
– boardrider, Commented Jul 27, 2016 at 11:40
You imported seaborn before generating your plot. That messes up all your matplotlib presets. — Mad Physicist
– Mad Physicist, Commented Jul 27, 2016 at 15:35

Community · Accepted Answer · 2017-05-23 12:25:02Z

Like @Mad Physicist pointed out in the comments, seaborn changes many styles and features of the plots:

Code 1

import matplotlib.pyplot as plt

l = [23948.30, 23946.20, 23961.20, 23971.70, 23956.30, 23987.30]

def box_plot(circ_list):
    fig, ax = plt.subplots()
    plt.boxplot(circ_list, 0, 'rs', 0, showmeans=True)
    plt.ylim((0.28, 1.5))
    ax.set_yticks([])
    labels = ["{}".format(int(i)) for i in ax.get_xticks()]
    ax.set_xticklabels(labels)
    ax.spines['right'].set_color('none')
    ax.spines['top'].set_color('none')
    ax.spines['left'].set_color('none')
    ax.spines['bottom'].set_position('center')
    ax.spines['bottom'].set_color('none')
    ax.xaxis.set_ticks_position('bottom')
    plt.savefig('box.png')
    plt.show()

box_plot(l)

Plot 1:

Code 2

import matplotlib.pyplot as plt
import seaborn as sns            # <--- Only change!!

l = [23948.30, 23946.20, 23961.20, 23971.70, 23956.30, 23987.30]

def box_plot(circ_list):
    fig, ax = plt.subplots()
    plt.boxplot(circ_list, 0, 'rs', 0, showmeans=True)
    plt.ylim((0.28, 1.5))
    ax.set_yticks([])
    labels = ["{}".format(int(i)) for i in ax.get_xticks()]
    ax.set_xticklabels(labels)
    ax.spines['right'].set_color('none')
    ax.spines['top'].set_color('none')
    ax.spines['left'].set_color('none')
    ax.spines['bottom'].set_position('center')
    ax.spines['bottom'].set_color('none')
    ax.xaxis.set_ticks_position('bottom')
    plt.savefig('box.png')
    plt.show()

box_plot(l)

Plot 2:

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