How to use file input array in python

Using Python files to input arrays can use the numpy.loadtxt() function. The specific steps are as follows: Import the NumPy library and open the file. Use the loadtxt() function to read the file, specifying the data delimiter. For example, suppose there are comma-separated data 1,2,3,4,5,6,7,8,9 in my_data.txt, which can be read using the following code: import numpy as np with open('my_data.txt', 'r') as f: data = np.loadtxt(f, delimiter=',')

##How to use Python file input array

In Python, you can use the

numpy.loadtxt() function to read data from a file and convert it into an array.

Steps:

1. Import NumPy library:

<code class="python">import numpy as np</code>

2. Open File:

<code class="python">with open('my_data.txt', 'r') as f:
    # 这里输入文件路径和读取模式('r')</code>

3. Use the loadtxt() function to read the file:

<code class="python">data = np.loadtxt(f, delimiter=',')</code>

• delimiter The parameter specifies the delimiter of the data (default is space).

Example:

Suppose you have a text file named

my_data.txt that contains the following data (separated by commas ):

<code>1,2,3
4,5,6
7,8,9</code>

To read this data into a NumPy array, you can use the following code:

<code class="python">import numpy as np

with open('my_data.txt', 'r') as f:
    data = np.loadtxt(f, delimiter=',')

print(data)</code>

Output:

<code>[[1. 2. 3.]
 [4. 5. 6.]
 [7. 8. 9.]]</code>

Note:

If the data contains a header row, you can skip it using the
• skiprows parameter.
You can also use the
• dtype parameter to specify the type of data (default is float).
If you want to read the data in binary format, you can use the
• np.load() function.

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