如何去除地块中的灰线

Question

如何移除这两条灰色线(在所附图形的最右端和顶部)并保持这两条轴线？

在这里输入图像描述

 #plt.style.use('Solarize_Light2')


plt.rcParams["figure.figsize"] = (50, 35)
plotdata = pd.DataFrame(result1)
plotdata.plot(kind="bar")
plt.legend(loc=0, prop={'size': 25})
plt.title("Actual Vs. Predicted Stratospheric Ozone Depletion", fontsize=30)
plt.xticks(rotation=0)
plt.xlabel("Index", fontsize=30)
ax.yaxis.offsetText.set_fontsize(50)

plt.ylabel("(kg CFC-11 eq.)", fontsize=30)

plt.tick_params(labelsize=30)

plt.grid(False)

审判1：

 plt.rcParams["figure.figsize"] = (50, 35)
    plotdata = pd.DataFrame(result1)
    plotdata.plot(kind="bar")
    plt.legend(loc=0, prop={'size': 25})
    plt.title("Actual Vs. Predicted Stratospheric Ozone Depletion", fontsize=30)
    plt.xticks(rotation=0)
    plt.xlabel("Index", fontsize=30)
    ax.yaxis.offsetText.set_fontsize(50)
    
    plt.ylabel("(kg CFC-11 eq.)", fontsize=30)
    
    plt.tick_params(labelsize=30)
    
    plt.grid(False)
ax.spines["right"].set_visible(False)
ax.spines["top"].set_visible(False)

Answer 1

您可以使用set_visible命令去除部分边界。例如，请考虑以下内容。

import matplotlib.pyplot as plt
import numpy as np

# Generate the figure
###############

labels = ['G1', 'G2', 'G3', 'G4', 'G5']
men_means = [20, 34, 30, 35, 27]
women_means = [25, 32, 34, 20, 25]

x = np.arange(len(labels))  # the label locations
width = 0.35  # the width of the bars

fig, ax = plt.subplots()
rects1 = ax.bar(x - width/2, men_means, width, label='Men')
rects2 = ax.bar(x + width/2, women_means, width, label='Women')

# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('Scores')
ax.set_title('Scores by group and gender')
ax.set_xticks(x, labels)
ax.legend()

# remove top/right boundary
###################

ax.spines["right"].set_visible(False)
ax.spines["top"].set_visible(False)

######

plt.show()

生成的图表：

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