x=np.arange(7)y=[3,7,2,5,8,1,6]plt.figure(figsize=(10,6))plt.plot(x,y,marker='o')plt.xticks(x,['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday'],rotation=45)plt.title('Weekly Data with 45-
200,150,300,250]fig,ax=plt.subplots(figsize=(10,6))ax.bar(categories,values)ax.set_title('Using setp() to Rotate Labels - how2matplotlib.com')ax.set_xlabel('Products')ax.set_ylabel('Sales')plt.setp(ax.get_xticklabels(),rotation=45,ha='right')plt.tight_layout()plt.show(...
注意: extent 并没有设置,这是因为地图的范围和图像的范围是相同的第二个例子展示了如何直接在地图上或是在新建的轴上添加 logo: from mpl_toolkits.basemap import...如果是地理学坐标系的话,可使用 rotate_vector 方法进行适当的旋转计算风速然后设置为 quiver 方法的 color,其数组长度应等于 x,y,u 和...
→ 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(frameon=False) … show error as shaded region? → ax.fill_between(X, Y+error, Y‐error) …...
matplotlib.pyplot.pie(x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0.6, shadow=False, labeldistance=1.1, startangle=0, radius=1, counterclock=True, wedgeprops=None, textprops=None, center=0, 0, frame=False, rotatelabels=False, *, normalize=None, data=None) ...
yticks: Custom y ticks, in the form([y1, y2, ...], [label1, label2, ...])You can pass([y1, y2, ...], None)if you just want to set the yticks, without specifying the labels. xticks_rotate: Rotation for x ticks. Default0 ...
xerr:指定x轴水平的误差 fmt:指定折线图中某个点的颜色,形状,线条风格,例如‘co--’ ecolor:指定error bar的颜色 elinewidth:指定error bar的线条宽度 import numpy as np import matplotlib.pyplot as plt fig = plt.figure() x = np.arange(10) ...
fig.add_subplot(ax3)# 前两位表示X轴范围,后两位表示Y轴范围ax3.axis([40,160,0,0.03]) ax3.axis["left"].set_axis_direction("right") ax3.axis[:].major_ticks.set_tick_out(True) ax3.axis["left"].label.set_text("Long Label Left") ...
Axes.pie(self, x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0.6, shadow=False, labeldistance=1.1, startangle=0, radius=1, counterclock=True, wedgeprops=None, textprops=None, center=0, 0, frame=False, rotatelabels=False, *, normalize=None, data=None) x即所给出...
Bug report Bug summary In matplotlib 2.0.2 you could rotate the axes labels on a polar plot, just as with any other plot for i, label in enumerate(ax.get_xticklabels()): label.set_rotation(i*90) This is not possible anymore with matplotl...