ax.set_xticklabels(['One', 'Two', 'Three', 'Four', 'Five']) ax.set_xlabel('X Axis') ax.set_ylabel('Y Axis') ax.set_title('Example Plot with Subplots') plt.show() 在这个示例中,我们使用set_xticks()方法设置刻度位置为1、2、3、4、5,
p1 = sns.heatmap(pt, ax=ax1, cmap=cmap, center=None, xticklabels=False) ax1.set_title('xticklabels=None',fontsize=8) p2 = sns.heatmap(pt, ax=ax2, cmap=cmap, center=None, xticklabels=2, yticklabels=list(range(5))) ax2.set_title('xticklabels=2, yticklabels is a list',...
ax1=fig.add_subplot(221) ax2=fig.add_subplot(222) ax3=fig.add_subplot(223) ax4=fig.add_subplot(224) ax1.boxplot([x1,x2]) ax1.set_xticklabels(["可用额度比值","负债率"], fontsize=20) ax2.boxplot(x3) ax2.set_xticklabels("年龄", fontsize=20) ax3.boxplot([x4,x5,x6]) ax...
ticks = ax.set_xticks([0,250,500,750,1000])#设置刻度值 labels = ax.set_xticklabels(['one','two','three','four','five'])#设置刻度标签 ax.set_title('My first Plot')#设置标题 ax.set_xlabel('Stage')#设置轴标签 Text(0.5,0,'Stage') ...
ax1.set_xticks(ticks) ax1.set_xticklabels(labels, rotation=45, horizontalalignment='right')ticks...
ax1.set_xticks(ticks) ax1.set_xticklabels(labels, rotation=45, horizontalalignment='right')ticks...
个子图,生成的子图是其中的第x个,下面示例生成一个2*2共四个子图, ax1 = fig.add_subplot(2,2,1) ax2 = fig.add_subplot(2,2,2) ax3 = fig.add_subplot(2,2,3) ax4 = fig.add_subplot(2,2,4) 1. 2. 3. 4. 当然,如果我们只需要一个图,就没有子图的概念了,可以写成 ...
ax1.set_xticklabels(df['店铺名称'], rotation=0, ha='right') ax1.legend(['销售数量','销售数量2'], loc='upper left')#设置坐标轴刻度标签字体大小ax1.tick_params(axis='both', which='major', labelsize=8)#增加网格线ax1.grid(axis='y', linestyle='--', alpha=0.7)#显示图形plt.show...
figure()ax1 = fig.add_subplot(1, 1, 1)sns.heatmap(corr, annot=True, cmap='rainbow', ax=ax1, annot_kws={'size': 9, 'weight': 'bold', 'color': 'blue'})#绘制相关性系数热力图ax1.set_xticklabels(xticks, rotation=0, fontsize=10)ax1.set_yticklabels(yticks, rotation=0, font...
ax1 = fig.add_subplot(111) ax1.set_xlabel('Gender') ax1.set_ylabel('Sum of Sales') ax1.set_title('Gender wise Sum of Sales') var.plot(kind='bar') plt.show() # 5、折线图 var = df.groupby('BMI').Sales.sum() fig = plt.figure() ax = fig.add_subplot(111) ax.set_xlabe...