label='Dashed')plt.plot(x,y+1,linestyle='dashdot',label='Dash-dot')plt.plot(x,y+1.5,linestyle='dotted',label='Dotted')plt.title('Line Style Shortcuts in Matplotlib - how2matplotlib.com')plt.xlabel('X-axis')plt.
plt.plot(x, y-0.6, 'm') plt.plot(x, y-0.8, 'w') plt.plot(x, y-1, 'b') plt.show() 输出如图(5-16)所示: 我们还可以编写如下代码: plt.plot(x, y+1, 'g', x, y+0.5, 'y', x, y, 'r', x, y-0.2, 'c', x, y-0.4, 'k', x, y-0.6, 'm', x, y-0.8, 'w...
Note: Before running the code snippet, you need to import Matplotlib usingimport matplotlib.pyplot as pltand definedata1anddata2variables containing the data you want to plot. 单字符对应的基本颜色 Single character shorthand notation for some basic colors. 'b'as blue 'g'as green 'r'as red '...
ax.plot(x, x+2, color="blue", linewidth=0.50) ax.plot(x, x+3, color="blue", linewidth=1.00) ax.plot(x, x+4, color="blue", linewidth=2.00)# possible linestype options ‘-‘, ‘–’, ‘-.’, ‘:’, ‘steps’ax.plot(x, x+5, color="red", lw=2, linestyle='-') ax....
'-.'dash-dot line style ':'dotted line style 折线图还可以又标记来凸显实际的数据点,matplotlib 创建一个连续的折线图,插入点之间有时分辨不出。标记可以是样式字符串的一部分,样式字符串中的线类型,标记类型必须在颜色后面。 plot(np.random.randn(30).cumsum(),color='r',linestyle='dashed',marker='s...
In [5]: ts.plot(); 如果索引由日期组成,它会调用gcf().autofmt_xdate()以尝试按照上述方法很好地格式化x轴。 在DataFrame上,plot()可以方便地绘制带有标签的所有列: In [6]: df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index, columns=list("ABCD")) ...
FORMAT] [--s3_url S3_URL] [--stations STATIONS] [--plot_figure] [--save_prob] ...
# add color, style, width to line element plt.plot(x, y, c = 'r', linestyle = '--', linewidth=2) 请输入图片描述 # add markers to the plot, marker has different elements i.e., style, color, size etc., plt.plot (x, y, marker='*', markersize=3, c=’g’) ...
matplot 编程代码风格Coding styles OO style pyplot style 对比两种style Making a helper functions 配置图像figure🎈 figuresize图像大小设置 图元样式化@Styling Artists🎈 颜色指定@specifying colors 单字符对应的基本颜色 样式设置方式 其他样例 Colormap ...
plt.plot(x, y, c = 'r', linestyle = '--', linewidth=2) # add markers to the plot, marker has different elements i.e., style, color, size etc., plt.plot (x, y, marker='*', markersize=3, c=’g’) # add grid using grid() method ...