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pythonmatplotlibplotborderaesthetics

How to add black border to matplotlib 2.0 `ax` object In Python 3?


I've been using style sheets in matplotlib lately. I really like how clean the seaborn-white looks and I want to be able to add the border to other styles like ggplot or seaborn-whitegrid.

How can I add a black border around my ax object from fig, ax = plt.subplots()?

import pandas as pd
import numpy  as np
from collections import *

Se_data = pd.Series(Counter(np.random.randint(0,10,100)))
with plt.style.context("seaborn-whitegrid"):
    fig, ax = plt.subplots()
    Se_data.plot(kind="barh", ax=ax, title="No Border")
with plt.style.context("seaborn-white"):
    fig, ax = plt.subplots()
    Se_data.plot(kind="barh", ax=ax, title="With Border")

enter image description here

In response to the answer below:

Se_data = pd.Series(Counter(np.random.randint(0,10,100)))
with plt.style.context("seaborn-whitegrid"):
    fig, ax = plt.subplots()
    Se_data.plot(kind="barh", ax=ax, title="No Border")
    ax.spines['bottom'].set_color('0.5')
    ax.spines['top'].set_color(None)
    ax.spines['right'].set_color('0.5')
    ax.spines['left'].set_color(None)
    ax.patch.set_facecolor('0.1')
    plt.grid(b=True, which='major', color='0.2', linestyle='-')
    plt.grid(b=True, which='minor', color='0.2', linestyle='-')
    ax.tick_params(axis='x', colors='0.7', which='both')
    ax.tick_params(axis='y', colors='0.7', which='both')
    ax.yaxis.label.set_color('0.9')
    ax.xaxis.label.set_color('0.9')
    ax.margins(5)
    fig.patch.set_facecolor('0.15')

enter image description here


Solution

  • The difference between the seaborn-whitegrid and the seaborn-white styles are

    seaborn-whitegrid

    axes.grid: True
    axes.edgecolor: .8
    axes.linewidth: 1
    

    seaborn-white

    axes.grid: False
    axes.edgecolor: .15
    axes.linewidth: 1.25
    

    The following will thus provide identical plots:

    import matplotlib.pyplot as plt
    import pandas as pd
    import numpy  as np
    from collections import *
    
    Se_data = pd.Series(Counter(np.random.randint(0,10,100)))
    with plt.style.context("seaborn-whitegrid"):
        plt.rcParams["axes.edgecolor"] = "0.15"
        plt.rcParams["axes.linewidth"]  = 1.25
        fig, ax = plt.subplots()
        Se_data.plot(kind="barh", ax=ax, title="No Border")
    with plt.style.context("seaborn-white"):
        plt.rcParams["axes.grid"] = True
        fig, ax = plt.subplots()
        Se_data.plot(kind="barh", ax=ax, title="With Border")
    

    enter image description here