# Import Datasetdf=pd.read_csv("https://github.com/selva86/datasets/raw/master/mtcars.csv")# Plotplt.figure(figsize=(12,10),dpi=80)sns.heatmap(df.corr(),xticklabels=df.corr().columns,yticklabels=df.corr().columns,cmap='RdYlGn',center=0,annot=True)# Decorationsplt.title('Correlogram...
# Set font size of different componentsax_main.title.set_fontsize(20)foritemin([ax_main.xaxis.label,ax_main.yaxis.label]+ax_main.get_xticklabels()+ax_main.get_yticklabels()):item.set_fontsize(14)plt.show() 3、水平发散型文本(Diverging Texts) # Prepare Datadf=pd.read_csv("https:/...
ax_main.set(title='Scatterplot with Histograms displ vs hwy', xlabel='displ', ylabel='hwy') # Set font size of different components ax_main.title.set_fontsize(20) foritemin([ax_main.xaxis.label, ax_main.yaxis.label] + ax_main.get_xticklabels + ax_main.get_yticklabels): item.se...
ax_main.set(title='Scatterplot with Histograms displ vs hwy', xlabel='displ', ylabel='hwy') ax_main.title.set_fontsize(20) for item in ([ax_main.xaxis.label, ax_main.yaxis.label] + ax_main.get_xticklabels() + ax_main.get_yticklabels()): item.set_fontsize(14) xlabels = ax...
# Remove x axis name for the boxplot ax_bottom.set(xlabel='') ax_right.set(ylabel='') # Main Title, Xlabel and YLabel ax_main.set(title='Scatterplot with Histograms displ vs hwy', xlabel='displ', ylabel='hwy') # Set font size of different components ...
→ plt.close(”all”) … remove ticks? → ax.set_xticks([]) … remove tick labels ? → ax.set_[xy]ticklabels([]) … rotate tick labels ? → ax.set_[xy]ticks(rotation=90) … hide top spine? → ax.spines[’top’].set_visible(False) … hide legend border? → ax.legend(frame...
plt.title("Scatterplot of Midwest Area vs Population", fontsize=22) plt.legend(fontsize=12) plt.show() 2. 带边界的气泡图(Bubble plot with Encircling) 有时,您希望在边界内显示一组点以强调其重要性。 在这个例子中,你从数据框中获取记录,并用下面代码中描述的 encircle() 来使边界显示出来。
# Remove x axis name for the boxplot ax_bottom.set(xlabel='') ax_right.set(ylabel='') # Main Title, Xlabel and YLabel ax_main.set(title='Scatterplot with Histograms displ vs hwy', xlabel='displ', ylabel='hwy') # Set font ...
Axis实例的set_xlabel和set_ylabel方法可以设置轴标签。这两个函数可以接受其他参数用于设置文本属性。可选参数labelpad可以设置轴与标签之间的距离(以磅为单位)。set_title方法的loc参数可以赋值为’left’、‘centered’、‘right’,用于设置标题的对齐方式。
ax_main.title.set_fontsize(20)foritemin([ax_main.xaxis.label, ax_main.yaxis.label] + ax_main.get_xticklabels() + ax_main.get_yticklabels()): item.set_fontsize(14) label_format ='{:,.1f}'x_labels = ax_main.get_xticks().tolist() ...