y) subs[1][2].plot(x, y) plt.show()6、可视化：自动调整子图设置import matplotlib.pyplot as ...
fig, ax = plt.subplots(1, 1) # Plot eac item as a line for i, (b, e, l) in enumerate(zip(beg_sort, end_sort, evt_sort)): ax.plot_date([b, e], [i + 1] * 2, ls='-', marker=None, lw=10) # 10 for the line width # Set ticks and labels on y axis ax.set_yt...
ax.plot_date(dates,y,linestyle='-',label='sj') date_format = mpl.dates.DateFormatter('%Y-%m-%d') #日期格式显示及转换 X轴 ax.xaxis.set_major_formatter(date_format) fig.autofmt_xdate()#自动调整X日期的位置,为了让显示更美观 plt.legend() plt.show() 添加坐标轴 import matplotlib.pyplot a...
ax2.plot(demo0719['successRate']*100,'r-',label='successRate',linewidth=2) 1. 2. 3. 4. 5. 横坐标设置时间间隔 import matplotlib.dates as mdate ax1.xaxis.set_major_formatter(mdate.DateFormatter('%Y-%m-%d %H:%M:%S'))#设置时间标签显示格式 plt.xticks(pd.date_range(demo0719.index[...
ax1=fig.add_subplot(111)#绘制Total曲线图ax1.plot(total,color='#4A7EBB',label=yLeftLabel,linewidth=4)# 设置X轴的坐标刻度线显示间隔ax1.xaxis.set_major_formatter(mdate.DateFormatter('%Y-%m-%d %H:%M:%S'))#设置时间标签显示格式plt.xticks(pd.date_range(data.index[0],data.index[-1],freq...
d_fmt = mdates.DateFormatter('%H:%M') ax.xaxis.set_minor_locator(mdates.HourLocator(interval=1)) ax.xaxis.set_major_locator(hours) ax.xaxis.set_major_formatter(d_fmt) ax.fill(dates, values) ax.plot(dates, values, color=Commands.lineColor) ...
ax2.plot(demo0719['successRate']*100,'r-',label='successRate',linewidth=2) 横坐标设置时间间隔 import matplotlib.dates as mdate ax1.xaxis.set_major_formatter(mdate.DateFormatter('%Y-%m-%d %H:%M:%S'))#设置时间标签显示格式 plt.xticks(pd.date_range(demo0719.index[0],demo0719.index[-1...
as mdates fig, ax = plt.subplots() """生成数据""" beginDate = '2012-01-01' endDate ...
x=np.linspace(0,10,100)y=np.sin(x)fig,ax=plt.subplots()ax.plot(x,y)ax.axvline(x=np.pi,color='r',linestyle='--',label='π')ax.axvline(x=2*np.pi,color='g',linestyle='--',label='2π')ax.axvline(x=3*np.pi,color='b',linestyle='--',label='3π')ax.legend()ax....
for d in dates] # 高低不平,使文字错开 # 复制数组 # 见 https://numpy.org/doc/stable/reference/generated/numpy.tile.html levels = np.tile([-5, 5, -3, 3, -1, 1], int(np.ceil(len(dates)/6)))[:len(dates)] # Create figure and plot a stem plot with the date fig, ax = ...