为删除 y 轴标签和刻度而调用的函数是matplotlib方法。
fig,ax=plt.subplots()ax.plot([1,2,3,4],[1,4,2,3],label='how2matplotlib.com')ax.tick_params(axis='both',which='both',length=0)ax.set_xticklabels(ax.get_xticks())ax.set_yticklabels(ax.get_yticks())plt.title('保留刻度标签但移除刻度线')plt.legend()plt.show() Python Copy O...
ax.set_aspect(1)#remove the x,y axis labels by setting empty listax.set_xticklabels([]) ax.set_yticklabels([])###third plot#display sample intersection###ax= fig.add_subplot(223) patch2= PolygonPatch(polygon, fc=BLUE, ec=BLUE, alpha=0.5, zorder=1) ax.add_patch(patch2)#run th...
→ fig.show(block=False), time.sleep(1) ax.grid() ax.patch.set_alpha(0) ax.set_[xy]lim(vmin, vmax) ax.set_[xy]label(label) ax.set_[xy]ticks(list) ax.set_[xy]ticklabels(list) ax.set_[sup]title(title) ax.tick_params(width=10, …) ax.set_axis_[on|off]() ax.tight_lay...
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_main.get_xticks().tolist() ax_main.set_xticklabels(xlabels) plt....
for item in ([ax_main.xaxis.label, ax_main.yaxis.label] + ax_main.get_xticklabels() + ax_main.get_yticklabels()): item.set_fontsize(14) plt.show() 8. 相关图 Correlogram用于直观地查看给定数据帧(或2D数组)中所有可能的数值变量对之间的相关度量。 1 2 3 4 5 6 7 8 9 10 11 12...
("Air Passengers Traffic (1949 - 1969)", fontsize=22)plt.grid(axis='both', alpha=.3)# Remove bordersplt.gca().spines["top"].set_alpha(0.0) plt.gca().spines["bottom"].set_alpha(0.3)plt.gca().spines["right"].set_alpha(0.0) plt.gca().spines["left"].set_alpha(0.3) plt.show...
(df.displ,ax=ax_bottom,orient="h",linewidth=2)# Decorations ---# Remove x axis name for the boxplotax_bottom.set(xlabel='')ax_right.set(ylabel='')# Main Title, Xlabel and YLabelax_main.set(title='Scatterplot with Histograms\ndispl vs hwy',xlabel='displ',ylabel='hwy')# Set font...
sns.heatmap(df.corr, xticklabels=df.corr.columns, yticklabels=df.corr.columns, cmap='RdYlGn', center=0, annot=True) # Decorations plt.title('Correlogram of mtcars', fontsize=22) plt.xticks(fontsize=12) plt.yticks(fontsize=12)
ax[0].set_xticklabels(df_students.Name, rotation=90) # Create a pie chart of pass counts on the second axis pass_counts = df_students['Pass'].value_counts() ax[1].pie(pass_counts, labels=pass_counts) ax[1].set_title('Passing Grades') ax[1].legend(pass_counts.keys().tol...