[英]How to plot vertical lines on an already plotted line plot?
I am trying to plot vertical lines in a line lot that I have already plotted. 我试图在已经绘制的线条中绘制垂直线。
Just a small portion of my data looks as follows: 我的数据只有一小部分如下:
EscAct_Curr_A StepID Time_Elapsed
0.122100122272968 1 0.0
0.0 2 0.101
0.0 2 0.432
0.122100122272968 2 1.422
0.122100122272968 2 2.422
0.122100122272968 2 3.422
0.122100122272968 2 4.432
0.122100122272968 2 5.938
0.122100122272968 2 6.49
0.122100122272968 5 7.928
0.122100122272968 5 8.938
0.122100122272968 5 9.938
While plotting the entire data on the graph, I use the following code: 在图形上绘制整个数据时,我使用以下代码:
x = data['Time_Elapsed']
y = data['EscAct_Curr_A']
plt.plot(x, y)
plt.show()
and I get the following graph: 我得到下面的图:
What I want to do now is to find the minimum time of each StepID
and plot a vertical line on the graph above. 我现在想做的是找到每个StepID
的最短时间,并在StepID
绘制一条垂直线。
For example: 例如:
From the above data we can see that 0.0 is the minimum time for StepID 1
, so a vertical line must be drawn at 0.0 and must be named as 1, then for StepID 2
, 0.101 is the minimum time, so a vertical line at 0.101 must be drawn and must be named as 2 and so on. 从上面的数据中我们可以看到,0.0是StepID 1
的最短时间,因此必须在0.0处绘制一条垂直线,并且必须将其命名为1,对于StepID 2
,0.101是最短时间,因此一条垂直线应为0.101必须绘制,并且必须命名为2,依此类推。
I would like to know how can this be done either in matplotlib or in seaborn 我想知道如何在matplotlib或seaborn中完成此操作
Thanks 谢谢
A simple approach: 一个简单的方法:
m=0
tm=data['Time_Elapsed']
for i,val in enumerate(data['StepID']):
if(val!=m):#detect change in val
m=val
plt.plot([tm[i],tm[i]],[0,1])#plot a vertical line
Compute your mintimes, say as a list. 计算您的最小时间,以列表形式表示。 Then, before plt.show
put in a for
loop for all of your mintimes and stepids (there should be one stepid for each mintime): 然后,在plt.show
之前,将所有分钟数和plt.show
放入for
循环中(每个分钟数应有一个stepid):
for i in range(len(mintimes)):
plt.axvline(x=mintime[i], color='b')
plt.figtext( mintime[i], y_convenient, str(stepid[i]), color='tab:brown', size='x-small', fontweight='bold' )
So y_convenient
would be some height that you prefer to show the stepids at. 因此y_convenient
会是您希望显示步长的高度。 I have indicated some formatting possibilities. 我已经指出了一些格式化的可能性。 You will want to tweak things, such as maybe adding an offset to mintime[i] for readability. 您可能需要进行调整,例如可能为了提高可读性而在mintime [i]中添加一个偏移量。
I guess the problem is also finding the minimums, the vertical line is already answered here 我想问题也在寻找最小值,垂直线已经在这里回答了
import numpy as np
# build an array with the stepIDs
stepIDs = np.unique(data['stepID'])
minTimes = np.zeros_like(stepIDs)
# then loop through it
for j in range(len(stepIDs)):
currentID = stepIDs[j]
currentTimes = data['Time_Elapsed'][np.where(data['stepID'] == currentID)]
minTimes[j] = min(currentTimes)
# then just plot the lines as explained in
# https://stackoverflow.com/questions/24988448/how-to-draw-vertical-lines-on-a-given-plot-in-matplotlib
for minTime in minTimes:
plt.axvline(x=minTimes)
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