plt.plot(df.index,df.c,'-g') plt.subplot(1,2,2) plt.plot(df.index,df.b,'-b') plt.plot(df.index,df.d,'-g') 第二:至少有两个不同y-axis的图: fig, ax = plt.subplots() ax2 = ax.twinx() ax.plot(df.index,df.a,'-b') ax2.plot(df.index,df.c,'-g') 但我所有的尝...
Tick:axis的下属层级,用来处理所有和刻度有关的元素。 为了绘图,我们先导入两个模块 import matplotlib.pyplot as plt import numpy as np 1. 2. 绘图 通过x=np.linspace(-2,2,50)生成一个列表作为x,再设定一个y关于x的函数,用plt.plot(x,y),plt.show()即可。 x=np.linspace(-2,2,50) y1=2*x+1...
# 设置图像大小 plt.figure(figsize=(10,10)) plt.imshow( a, # 数据 cmap='gray', # 配色,gray灰度 interpolation='lanczos', # 渲染,模糊 ) # 设置x轴,y轴内容 plt.xticks([0,1,2,3,4,5,6,7,8,9]) plt.yticks([0,1,2,3,4,5,6,7,8,9]) plt.grid() # 网格 plt.colorbar() #...
cax4.set_label('fraction [-]') ax5.plot(xs,ys) 情节是这样结束的: 虽然轴似乎是链接的(日期格式适用于所有轴),但它们的范围不同。 注意:两个左轴不得共享相同的x-axis。
ax.plot(obsX,obsY,'-g',marker='*')#散点图 可是这样做之后就会存在新的问题:之前定义的坐标轴,标题,图例等等信息就都被清除了。解决方法则,需要在每一步的循环中,重新定义这些信息。 完整代码 defMethod_Improve(point): definitial(ax): ax.axis("equal")#设置图像显示的时候XY轴比例 ax.set_xlabel...
plt.plot_date() 绘制数据日期 Matplotlib绘制直方图,使用plt.hist()这个函数,函数参数如下: Matplotlib.pyplot.hist(x,bins=None,range=None,density=None,weights=None, cumulative=False, bottom=None, histtype='bar', align='mid', orientation='vertical', rwidth=None, log=False, color=None, label=None...
Parameter 1 is an array containing the points on the x-axis.Parameter 2 is an array containing the points on the y-axis.If we need to plot a line from (1, 3) to (8, 10), we have to pass two arrays [1, 8] and [3, 10] to the plot function....
# Print the last item from year and pop print(year[-1]) print(pop[-1]) # Import matplotlib.pyplot as plt import matplotlib.pyplot as plt # Make a line plot: year on the x-axis, pop on the y-axis plt.plot(year,pop) # Display the plot with plt.show() plt.show() 2,Line Pl...
Whether to create a scale bar based on the x-axis (default) or y-axis.rotationcan either behorizontal,vertical,horizontal-only, orvertical-only. By default, matplotlib_scalebar checks whether the axes have equal aspect ratio (so that the scale bar applies both for the x and the y directio...
Continuing my series on using matplotlib and python to generate figures, I’d like to get now to the meat of the topic: actually making a figure or two. I’ll be starting with the simplest kind of figure: a line plot, with points plotted on an X-Y Cartesian plane. What Kind of Dat...