width=0.35# 绘制柱状图,每根柱子的颜色为紫罗兰色 p2=plt.bar(index,values,width,label="rainfall",color="#87CEFA")# 设置横轴标签 plt.xlabel('Months')# 设置纵轴标签 plt.ylabel('rainfall (mm)')# 添加标题 plt.title('Monthly average rainfall')# 添加纵横轴的刻度 plt.xticks(index,('Jan','Fub...
我们可以通过直接指定bar方法里面的align=”center”就可以让文字居中了。 importmatplotlib.pyplot as plt plt.xlabel(u ‘性别’) plt.ylabel(u ‘人数’) plt.xticks(( 0, 1),(u ‘男’,u ‘女’)) plt.bar(left = ( 0, 1),height = ( 1, 0. 5),width = 0. 35,align = “center”) pl...
ax.bar(hot_dog["Year"],hot_dog["Dogs eaten"],color=hotdog_color()) ax.set_xlabel("Year")#设置x轴标签ax.set_ylabel("Dogs Eaten")#设置y轴标签ax.set_title("Hotdog game scores 1980-2010")#设置标题ax.set_xlim(1979,2011)#设置x轴数据限值plt.show()#显示图像 此时图像如下: 这个颜色有...
我们可以通过直接指定bar方法里面的align="center"就可以让文字居中了。 importmatplotlib.pyplot as plt plt.xlabel(u'性别') plt.ylabel(u'人数') plt.xticks((0,1),(u'男',u'女')) plt.bar(left=(0,1),height=(1,0.5),width=0.35,align="center") plt.show() 接下来,我们还可以给图标加入标题...
# lets create a simple bar chart# x-axis is shows the subject and y -axis shows the markers in each subject例子:subject =marks =plt.bar(subject,marks)plt.show() 请输入图片描述 #let’s do some customizations#width – shows the bar width and default value is 0.8#color – shows the ba...
matplotlib柱状图BarChart样例及参数 matplotlib柱状图BarChart样例及参数def bar_chart_generator():l = [1,2,3,4,5]h = [20, 14, 38, 27, 9]w = [0.1, 0.2, 0.3, 0.4, 0.5]b = [1,2,3,4,5]fig = plt.figure()ax = fig.add_subplot(111)rects = ax.bar(l, h, w, b,colo...
plot(kind='bar',stacked=True,color=['red','blue'],title="Stacked Bar Chart of Sales by BMI...
x=np.random.rand(50)y=np.random.rand(50)sizes=np.random.rand(50)*1000# 生成50个0到1000之间的随机数plt.figure(figsize=(8,6))plt.scatter(x,y,s=sizes)plt.title('Scatter Plot with Variable Sizes - how2matplotlib.com')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.colorbar(label='Si...
mydf_p = (pd.DataFrame(mydf['Punctuality'].value_counts())).reset_index() mydf_p.rename(columns={ mydf_p.columns[0]: "Punctuality", mydf_p.columns[1]: "Frequency" }, inplace = True) mydf_p # create bar chart plot = plt.subplots(nrows=1, ncols=1, figsize=(4, 5)) ...
importmatplotlibimportmatplotlib.pyplotaspltimportnumpyasnp labels=['G1','G2','G3','G4','G5']men_means=[20,34,30,35,27]women_means=[25,32,34,20,25]x=np.arange(len(labels))# the label locationswidth=0.35# the width of the barsfig,ax=plt.subplots()rects1=ax.bar(x-width/2,...