1.1 使用scatter函数绘制大点 scatter函数是绘制散点图的主要方法,它允许我们轻松地控制每个点的大小。 importmatplotlib.pyplotaspltimportnumpyasnp x=np.linspace(0,10,10)y=np.sin(x)plt.figure(figsize=(10,6))plt.scatter(x,y,s=100,label='how2matplotlib.com')plt.title('Scatter Plot with Bigger ...
0.1,20)plt.figure(figsize=(10,6))plt.scatter(x,y,color='red',label='Data Points')plt.plot(x,y,linestyle=':',color='blue',alpha=0.7,label='Trend Line')plt.title('Scatter Plot with Dotted Trend Line - how2matplotlib.com')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.legend()plt...
With Pyplot, you can use the scatter() function to draw a scatter plot.The scatter() function plots one dot for each observation. It needs two arrays of the same length, one for the values of the x-axis, and one for values on the y-axis:...
See Also --- scatter : XY scatter plot with markers of varying size and/or color ( sometimes also called bubble chart). Notes --- **Format Strings** A format string consists of a part for color, marker and line:: fmt = '[color][marker][line]' Each of them is optional. If not ...
ax.scatter(y=df.index, x=df.cty, s=75, color='firebrick', alpha=0.7) # Title, Label, Ticks and Ylim ax.set_title('Dot Plot for Highway Mileage', fontdict={'size': 22}) ax.set_xlabel('Miles Per Gallon') ax.set_yticks(df.index) ax.set_yticklabels(df.manufacturer.str.title(...
# Step 2: Draw Scatterplot with unique color for each category fig = plt.figure(figsize=(16, 10), dpi= 80, facecolor='w', edgecolor='k') for i, category in enumerate(categories): plt.scatter('area', 'poptotal', data=midwest.loc[midwest.category==category, :], s='dot_size', c...
scatter(y=df.index, x=df.cty, s=75, color='firebrick', alpha=0.7) # Title, Label, Ticks and Ylim ax.set_title('Dot Plot for Highway Mileage', fontdict={'size':22}) ax.set_xlabel('Miles Per Gallon') ax.set_yticks(df.index) ax.set_yticklabels(df.manufacturer.str.title(), ...
plt.plot(x, x + 2, linestyle='dashdot') plt.plot(x, x + 3, linestyle='dotted'); # 还可以用形象的符号代表线条风格 plt.plot(x, x + 4, linestyle='-') # 实线 plt.plot(x, x + 5, linestyle='--') # 虚线 plt.plot(x, x + 6, linestyle='-.') # 长短点虚线 ...
pyplot as pltfrom matplotlib import font_managerimport randomx = range(, 120)y = [random.randint(10, 30) for i inrange(120)]plt.figure(figsize=(20, 8), dpi=80)plt.plot(x,y)# 设置字体和Labelmy_font = font_manager.FontProperties(fname='/System/Library/Fonts/PingFang.ttc', size=18...
以下是一些常用的 pyplot 函数: plot():用于绘制线图和散点图 scatter():用于绘制散点图 bar():用于绘制垂直条形图和水平条形图 hist():用于绘制直方图 pie():用于绘制饼图 imshow():用于绘制图像 subplots():用于创建子图 除了这些基本的函数,pyplot 还提供了很多其他的函数,例如用...