importmatplotlib.pyplotasplt fig,ax=plt.subplots()custom_styles=[(0,(1,1)),(0,(5,5)),(0,(3,1,1,1))]colors=['r','g','b']fori,(style,color)inenumerate(zip(custom_styles,colors)):ax.axhline(y=0.2+i*0.3,color=color,linestyle=style,label=f'Custom style{i+1}')ax.legend(...
基础颜色: 此外,matplotlib也支持HTML颜色,可参考:http://www.runoob.com/html/html-colorvalues.html。 (注:可直接上网搜索 ”HTML color names“) 也可用命令将其调出: importmatplotlibforname, hexinmatplotlib.colors.cnames.items():print(name, hex) aliceblue#F0F8FFantiquewhite#FAEBD7aqua#00FFFFaquamarine#...
importmatplotlib.pyplotasplt fig,ax=plt.subplots()ax.set_xlim(0,10)ax.set_ylim(0,10)ax.text(5,5,'How2matplotlib.com',fontsize=14,color='red',fontweight='bold',fontstyle='italic',ha='center',va='center')ax.set_title('Custom Text Style')plt.show() Python Copy Output: 这个例子展...
You can use the keyword argument linestyle, or shorter ls, to change the style of the plotted line:ExampleGet your own Python Server Use a dotted line: import matplotlib.pyplot as plt import numpy as np ypoints = np.array([3, 8, 1, 10]) plt.plot(ypoints, linestyle = 'dotted') ...
matplotlib.pyplt.plot(x, y, linestyle='dashed') The above-used parameters are outlined as below: x:X-axis coordinates of the points on the line. y:Y-axis coordinates of the points on the line. linestyle:special feature used to change the style of the line. We mention it as dashed be...
style.use('seaborn-darkgrid') my_dpi=96 plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi) # multiple line plot for column in df.drop('x', axis=1): plt.plot(df['x'], df[column], marker='', color='grey', linewidth=1, alpha=0.4) # Now re do the interesting ...
Adding a Grid Line at a Specific Position in Matplotlib Plot: A Guide Feedback Use the object's methods to toggle the grid as usual. Alternatively, if you only need to input a few lines, you can use line style and color with all other line/artist properties set to your desired values...
classmatplotlib.lines.Line2D(xdata,ydata,linewidth=None,linestyle=None,color=None,marker=None,markersize=None,markeredgewidth=None,markeredgecolor=None,markerfacecolor=None,markerfacecoloralt='none',fillstyle=None,antialiased=None,dash_capstyle=None,solid_capstyle=None,dash_joinstyle=None,solid_joinstyle...
('fivethirtyeight') plt.style.use('seaborn-darkgrid') my_dpi=96 plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi) # multiple line plot for column in df.drop('x', axis=1): plt.plot(df['x'], df[column], marker='', color='grey', linewidth=1, alpha=0.4) # Now re...
import matplotlib.pyplot as plt # plt.style.use('ggplot') def plot_event(file_name, y_min=0, y_max=5): df = pd.read_csv(file_name) df['event_start'] = pd.to_datetime(df['event_start']) df['event_end'] = pd.to_datetime(df['event_end']) ...