这个函数将利用Matplotlib的text功能,将标签放置在每条线的最后一个点旁边。 defplot_with_labels():plt.figure(figsize=(10,6))line_A,=plt.plot(months,product_A_sales,label='Product A',marker='o')line_B,=plt.plot(months,product_B_sales,l
x=np.linspace(0,10,100)y=np.sin(x)plt.figure(figsize=(10,6))plt.plot(x,y,label='sin(x)')plt.title('带末端注释的正弦函数 - how2matplotlib.com')plt.xlabel('x')plt.ylabel('y')# 在线条末端添加注释plt.text(x[-1],y[-1],'线条末端',fontsize=12,verticalalignment='bottom...
y : label, position or list of label, positions, default None Allows plotting of one column versus another. Only used if data is a DataFrame. kind : str The kind of plot to produce: - 'line' : line plot (default) - 'bar' : vertical bar plot - 'barh' : horizontal bar plot - ...
import matplotlib.pyplot as pltimport squarifyimport pandas as pd# 创建数据df = pd.DataFrame({'nb_people': [8, 3, 4, 2], 'group': ["group A", "group B", "group C", "group D"]})# 绘图显示squarify.plot(sizes=df['nb_people'], label=df['group'], alpha=.8 )plt.axis('off...
:path to save.set_color() : 设置列的颜色，given a list set_color() need before use plot(...
("https://raw.githubusercontent.com/selva86/datasets/master/midwest_filter.csv")# As many colorsasthere are unique midwest['category']categories=np.unique(midwest['category'])colors=[plt.cm.tab10(i/float(len(categories)-1))foriinrange(len(categories))]# Step2:Draw Scatterplotwithunique ...
_font)ax.legend(markerscale=10,fontsize=12)# Add some textforlabels,title and custom x-axis tick labels,etc.defautolabel(rects):forrectinrects:height=rect.get_height()ax.annotate('{}'.format(height),xy=(rect.get_x()+rect.get_width()/2,height),xytext=(0,3),#3points vertical ...
4 条线和图例。为了给图中添加图例，我们在绘制线条时，通过设置 plot() 函数中的 label 参数，为...
draw_patch=patch_dict[frame]def__init__(self,*args,**kwargs):super(RadarAxes,self).__init__(*args,**kwargs)# rotate plot such that the first axis is at the top self.set_theta_zero_location('N')deffill(self,*args,**kwargs):"""Override fill so that line is closed by default...
(70)plt.plot(data)#标题,X轴,Y轴名称title = 'This is figture title'x_label = 'This is x axis label'y_label = 'This is y axis label'# 设置title的字体大小,竖直方向的对齐方式title_text_obj = plt.title(title, fontsize=fontsize, verticalalignment='bottom')# 设置路径效果 ,添加阴影...