songsong的垃圾堆

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论文中画各种图

发表于 阅读： Valine：
本文字数： 507 阅读时长 ≈ 2 分钟

画折线图

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import matplotlib.pyplot as plt
import numpy as np
 
#epoch,acc,loss,val_acc,val_loss
x_axis_data = list(range(0,24,2))
y_axis_data1 = [68.72,69.17,69.26,69.63,69.35,70.3,66.8,90,92,93,95,99]
y_axis_data2 = [52,71,73,66,74,82,71,90,91,93,94,99]
y_axis_data3 = [82,83,82,76,84,92,81,90,91,92,93,95]
     
#画图 
plt.gca().set_facecolor('#f3f7ff')

plt.plot(x_axis_data, y_axis_data1, 'b*--', alpha=1, linewidth=1, label='acc')#'
plt.plot(x_axis_data, y_axis_data2, 'rs--', alpha=1, linewidth=1, label='acc')
plt.plot(x_axis_data, y_axis_data3, 'go--', alpha=1, linewidth=1, label='acc')
plt.xticks(x_axis_data)
# plt.xticks(y_axis_data1)

plt.legend(loc="best")  #显示上面的label
plt.xlabel('Hours')
plt.ylabel('Coverage')


# plt.grid(color='gray', alpha=0.5, linestyle=':')
plt.grid(True, which='major', linestyle='-', color='gray', alpha=0.3)
plt.grid(True, which='minor', linestyle=':', color='gray', alpha=0.3)
plt.minorticks_on()

# plt.figure(figsize=(12, 6),dpi=300)  # 设置dpi为300，可以根据需要调整
plt.savefig('fix2.png', dpi=300) #指定分辨率保存
plt.show()
plt.close()

画柱状图

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画雷达图

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import matplotlib.pyplot as plt
import numpy as np
def plot_radar_chart(labels, array, title):

    plt.rcParams.update({'font.size': 25})
    # 设置全局刻度字体大小
    # plt.rcParams['xtick.labelsize'] = 25  # x轴刻度字体大小
    plt.rcParams['ytick.labelsize'] = 25  # y轴刻度字体大小
    
    fuzzer = ["LLM_atr1","LLM_atr2","LLM_atr3","human"]
    fuzzer = ["LLM","Human"]
    colors = ['r','b','r','b']
    num_vars = len(labels)
    len_val = len(array)

    angles = np.linspace(0, 2 * np.pi, num_vars, endpoint=False).tolist()

    angles += angles[:1]
    
    fig, ax = plt.subplots(figsize=(14, 12), subplot_kw=dict(polar=True))
    
    # 设置背景颜色
    ax.set_facecolor('#f3f7ff')  # 这里设置为浅灰色，你可以根据需要修改颜色

    for i in range(len_val):
        values = []
        values = array[i]  
        values += values[:1]
        
        # print(angles)
        # print(values)
        ax.fill(angles, values, color=colors[i], alpha=0.1)
        ax.plot(angles, values, linewidth=1, linestyle='solid', label=fuzzer[i])


    ax.grid(linewidth=1, linestyle='--', alpha=0.5)


    ax.spines['polar'].set_visible(False)

    #设置y轴显示
    # ax.set_yticklabels([0,1,2,3,4])


    ax.set_xticks(angles[:-1])
 
    ax.set_xticklabels(labels)


    # 调整圆的间隔
    # ax.set_rticks([0, 0.3, 0.6, 0.9, 1.2])  # 设置径向刻度的位置
    ax.set_rlabel_position(15)  # 设置径向刻度标签的位置


    # plt.title(title)

    # 添加图例loc='best',
    plt.legend(loc = (0.9, 0.95))
    # fig.legend(loc='best')

    return ax

#   # 打印所有可用的样式列表
# for i in plt.style.available:
#可读性
	#DIV/0!	
# values = [ [4.088888889,	3.458730159,	3.576190476],[3.771428682,	2.492063381,	3.657142857]]
# plot_radar_chart(['name', 'note', 'field'],values, '')

#语义
# [0.83521746,0.769798413,0.704907937,0.65028254,0.7487],  [0.83521746,0.769798413,0.704907937,0.65028254,0.9366],
# values = [ [0.83521746,0.769798413,0.704907937,0.65028254,1],[0.684297279,0.639577778	,0.584657143,0.505793651,1]]
# plot_radar_chart(['data model', 'state model','action', 'transfer',  'attribute'],values, '')

# values = [ [0.83521746,0.769798413,0.704907937,0.65028254,0.7487,4.088888889/5,	3.458730159/5,	3.576190476/5],
# [0.684297279,0.639577778	,0.584657143,0.505793651,1,3.771428682/5,	2.492063381/5,	3.657142857/5]]
# plot_radar_chart(['data model', 'state model','action', 'transfer',  'attribute','name', 'note', 'field'],values, '')

# values = [ [0.83521746,0.769798413,0.704907937,0.65028254,0.9366,4.088888889/5,	3.458730159/5,	3.576190476/5],
# [0.684297279,0.639577778	,0.584657143,0.505793651,1,3.771428682/5,	2.492063381/5,	3.657142857/5]]
# plot_radar_chart(['data model', 'state model','action', 'transfer',  'attribute','name', 'note', 'field'],values, '')

values = [ [0.83521746,0.769798413,0.704907937,0.65028254,1,4.088888889/5,	3.458730159/5,	3.576190476/5],
[0.684297279,0.639577778	,0.584657143,0.505793651,1,3.771428682/5,	2.492063381/5,	3.657142857/5]]
plot_radar_chart(['DataModelNode', 'StateModelNode','Action', 'Transfer',  'Attribute','Name', 'Note', 'Field'],values, '')

plt.savefig('read.png', dpi=300) #指定分辨率保存
plt.show()
plt.close()
------------- Thank you for reading -------------
Title - Artist
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