根据数据csv绘制等高线

Question

我在csv文件中有数据，其中温度、x、y和z点按列排列。z点可以被否定，因为它在我的数据采集中保持为0。

我想简单地获取这些数据的等高线图。

我的问题基本上和这个一样，但它被重定向到了其他线程，我仍然无法弄清楚发生了什么

编辑：这是我未完成的代码，应该打开数据吗？我不知道从这里到哪里去。

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.mlab import griddata
import csv
data = np.genfromtxt('tempcontour0.csv', delimiter=',', dtype=[('t',float),('x',float),('y',float),('z',float)],usecols=(0,1,2))
T=data['t']
X=data['x']
Y=data['y']
z = np.zeros((len(X),2))
z[:,0] = X
z[:,1] = Y
plt.contour()
plt.show()

数据文件如下：

T,x,y,z
316.002,0,0,0
309.314,0.00839113,0,0
309.67,0.0172418,0,0
310.34,0.0265772,0,0
310.903,0.0364239,0,0
311.558,0.0468098,0,0
312.704,0.0577645,0,0
313.582,0.0693192,0,0
314.582,0.0815067,0,0
316.2,0.0943616,0,0
317.391,0.107921,0,0
318.93,0.122222,0,0
322.662,0.137307,0,0
325.549,0.153218,0,0
339.193,0.17,0,0
338.943,0,0.0208333,0
341.134,0.00839113,0.0208333,0
341.692,0.0172418,0.0208333,0

Answer 1

首先，您必须使用以下内容读取文件：

    from numpy import genfromtxt
    import numpy as np
    import matplotlib.pyplot as plt
    data = genfromtxt('file.csv', delimiter = ',')

然后你需要绘制它，但你需要知道如何重塑数组，例如，它看起来像是你的数据在y中递增之前有15个x值，所以：

    x = data[:, 1].reshape(15, yincrement)
    y = data[:, 2] .reshape(15,yincrement)
    z = data[:,0].reshape(15,yincrement)
    plt.contour(x,y,z)
    plt.show()