[英]Converting list of function values into 2d array
Suppose I have a text file whose lines contain three values (2 coordinates and the value of a function evaluated at those coordinates):假设我有一个文本文件,其行包含三个值(2 个坐标和在这些坐标处评估的 function 的值):
x y f(x, y)
Using numpy, how do I convert this data (read using genfromtxt
, say) to an array of x values, an array of y values and a 2D array of function values, such that I can visualize f(x, y) using matplotlib
's imshow
, for example? Using numpy, how do I convert this data (read using
genfromtxt
, say) to an array of x values, an array of y values and a 2D array of function values, such that I can visualize f(x, y) using matplotlib
' s imshow
,例如?
Edit: Easily done by using panda
's pivot_table
.编辑:使用
panda
的pivot_table
轻松完成。
This code will get you started.此代码将帮助您入门。 It will grab the input from file one line at a time, and parse the values from each line.
它将一次从文件中获取一行输入,并解析每一行的值。 You can then do what you want with the values (append them to a list, for example, then convert the list to a
numpy
data structure)然后,您可以对这些值执行您想要的操作(例如,将它们附加到列表中,然后将列表转换为
numpy
数据结构)
with open(filename) as file:
for line in file:
elements = line.split(" ")
x = elements[0]
y = elements[1]
f_x_y = elements[2]
Good luck on your Python journey!祝您的 Python 旅程好运!
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