该参数用于指明线的具体的属性,这种参数在传入的时候需要写关键字,就像这样plot(...,keyword=...) 这里的Keyword见Line2D,罗列如下(有一些属性暂不知道用途,这里列全属性,但是只给出关键属性的用法): 3、样式 3.1、marker All possible markers are defined here: 3.2、颜色 3.3、Linestyle 其中Named Linestyles...
x=np.linspace(0,10,50)y1=np.sin(x)y2=np.cos(x)y3=np.tan(x)plt.figure(figsize=(12,6))plt.plot(x,y1,'o-',label='Sin')plt.plot(x,y2,'s-',label='Cos')plt.plot(x,y3,'^-',label='Tan')plt.title('Multiple Series with Different Markers - how2matplotlib.com')plt.legend(...
x=np.linspace(0,10,20)y=np.sin(x)*np.exp(-0.1*x)plt.figure(figsize=(8,6))plt.plot(x,y,'o',linestyle='None',label='how2matplotlib.com')plt.title('Markers Without Line')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.legend()plt.grid(True)plt.show() Python Copy Output: 在这...
plot('date', 'traffic', data=df, color='tab:blue', label='Air Traffic') plt.scatter(df.date[peak_locations], df.traffic[peak_locations], marker=mpl.markers.CARETUPBASE, color='tab:green', s=100, label='Peaks') plt.scatter(df.date[trough_locations], df.traffic[trough_locations], m...
section below. >>> plot(x, y) # plot x and y using default line style and color >>> plot(x, y, 'bo') # plot x and y using blue circle markers >>> plot(y) # plot y using x as index array 0..N-1 >>> plot(y, 'r+') # ditto, but with red plusses You can use ...
plot_linestyles(ax1, linestyle_tuple[::-1]) plt.tight_layout() plt.show() REF https://matplotlib.org/3.1.0/gallery/lines_bars_and_markers/linestyles.html The following format string characters are accepted to control the line style or marker: ...
# Red plot circle(1.20, 0.60) text(1.20, 0.40, "Line\n(line plot)") # Scatter plot circle(3.20, 1.75) text(3.20, 1.55, "Markers\n(scatter plot)") # Grid circle(3.00, 3.00) text(3.00, 2.80, "Grid") # Legend circle(3.70, 3.80) ...
发散型包点图 (Diverging Dot Plot)也类似于发散型条形图 (Diverging Bars)。然而,与发散型条形图 (Diverging Bars)相比,条的缺失减少了组之间的对比度和差异。 13、带标记的发散型棒棒糖图 (Diverging Lollipop Chart with Markers) 带标记的棒棒糖图通过...
This parameter is also calledfmt, and is written with this syntax: marker|line|color Example Mark each point with a circle: importmatplotlib.pyplotasplt importnumpyasnp ypoints = np.array([3,8,1,10]) plt.plot(ypoints,'o:r')
format strings:: 'b' # blue markers with default shape 'or' # red circles '-g' # green solid line '--' # dashed line with default color '^k:' # black triangle_up markers connected by a dotted line**Colors**The supported color abbreviations are the singl...