如何在python live plot中从本地txt文件读取数据(How to read data from local txt file in python live plot)

在这段代码中，我不想在代码中写数据。我如何从sample.txt读取数据。例如，我删除了year ， unemployment ， deficit数据设置的代码和我在txt文件中添加。但我无法从txt文件中获取数据。

尝试了几个示例代码（不工作）：

year=open('sample.txt','r').read() unemployment=open('sample.txt','r').read() deficit=open('sample.txt','r').read()

码：

import matplotlib.pyplot as plt import matplotlib.animation as animation import numpy as np import matplotlib.dates as mdates year = [1, 2, 3, 4, 5, 6] unemployment = [10.0, 9.5, 8.8, 7.8, 7.2, 5.8] deficit = [12.8, 12.2, 10.7, 9.3, 6.4, 5.8] plt.plot(year, unemployment, color='r', marker='o', linestyle='--', linewidth = 2.0, label='unemployment') plt.plot(year, deficit, color='b', marker='o', linestyle='--', linewidth = 2.0, label='deficit (%GDP)') plt.title('sdfsdfsdf') plt.xlabel('x one') plt.ylabel('y one') plt.legend(loc='upper right') plt.grid() plt.show()

Sample.txt的：

1 , 10.0 , 12.8 2 , 9.5 , 12.2 3 , 8.8 , 10.7 4 , 7.8 , 9.3 5 , 7.2 , 6.4 6 , 5.8 , 5.8

In this code, I don't want to write data in code side. How can I read the data from sample.txt. For example I deleted year, unemployment, deficit data set on code and I added in txt file. But I couldnt get data from txt file.

tried a few sample code (not worked):

year=open('sample.txt','r').read() unemployment=open('sample.txt','r').read() deficit=open('sample.txt','r').read()

Code:

import matplotlib.pyplot as plt import matplotlib.animation as animation import numpy as np import matplotlib.dates as mdates year = [1, 2, 3, 4, 5, 6] unemployment = [10.0, 9.5, 8.8, 7.8, 7.2, 5.8] deficit = [12.8, 12.2, 10.7, 9.3, 6.4, 5.8] plt.plot(year, unemployment, color='r', marker='o', linestyle='--', linewidth = 2.0, label='unemployment') plt.plot(year, deficit, color='b', marker='o', linestyle='--', linewidth = 2.0, label='deficit (%GDP)') plt.title('sdfsdfsdf') plt.xlabel('x one') plt.ylabel('y one') plt.legend(loc='upper right') plt.grid() plt.show()

Sample.txt:

1 , 10.0 , 12.8 2 , 9.5 , 12.2 3 , 8.8 , 10.7 4 , 7.8 , 9.3 5 , 7.2 , 6.4 6 , 5.8 , 5.8

最满意答案

提供.txt文件的格式，至少有两个选项：

使用Python的内置csv库。使用numpy的loadtxt()功能。

鉴于你已经在使用numpy库了，我会推荐后一种选择，它更干净简单。

修改后的代码（假设sample.txt是包含逗号分隔数据的文件的名称）：

import matplotlib.pyplot as plt import matplotlib.animation as animation import numpy as np import matplotlib.dates as mdates year, unemployment, deficit = np.loadtxt("sample.txt", delimiter=",").transpose() plt.plot(year, unemployment, color='r', marker='o', linestyle='--', linewidth = 2.0, label='unemployment') plt.plot(year, deficit, color='b', marker='o', linestyle='--', linewidth = 2.0, label='deficit (%GDP)') plt.title('sdfsdfsdf') plt.xlabel('x one') plt.ylabel('y one') plt.legend(loc='upper right') plt.grid() plt.show()

产生的情节是程序的输出

Providing the format of the .txt file, there are at least two options:

use Python's built-in csv library. use the numpy's loadtxt() functionality.

Given that you are already using the numpy library, I would recommend the latter option, it is cleaner and simpler.

Modified code (assume sample.txt is the name of the file that contains comma seperated data):

import matplotlib.pyplot as plt import matplotlib.animation as animation import numpy as np import matplotlib.dates as mdates year, unemployment, deficit = np.loadtxt("sample.txt", delimiter=",").transpose() plt.plot(year, unemployment, color='r', marker='o', linestyle='--', linewidth = 2.0, label='unemployment') plt.plot(year, deficit, color='b', marker='o', linestyle='--', linewidth = 2.0, label='deficit (%GDP)') plt.title('sdfsdfsdf') plt.xlabel('x one') plt.ylabel('y one') plt.legend(loc='upper right') plt.grid() plt.show()

The produced plot is output of the program

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