How to read data set in pycharm

The steps to read a data set in PyCharm include: creating a project and importing NumPy; using the loadtxt() function to load the data set, specifying the path and delimiter; checking the data shape; using indexes to access data values, as shown in Chapter 1 One row and first column; save the dataset using the savetxt() function.

How to read the data set in PyCharm

If you want to read the data set in PyCharm, you can use The following steps:

1. Create a project

• Open PyCharm IDE and create or open a new project.
• Create a new Python file or use an existing one.

2. Import NumPy

• To read the data set, you need to use the NumPy library. Import NumPy at the top of the file:

import numpy as np

3. Load the dataset

• Load using NumPy’s loadtxt() function data set. This function accepts path or file name as parameter.

data = np.loadtxt('path/to/dataset.csv', delimiter=',')

Where:

• path/to/dataset.csv is the path to the dataset file.
• delimiter Specifies the character (comma in this example) that delimits data set values.

4. Check the data

• To ensure that the dataset has been loaded correctly, you can check its shape using the shape property ( Number of rows and columns):

print(data.shape)

5. Accessing data

• Once the dataset is loaded, you can access the data values ​​using indexes. For example, to get the data for the first row:

first_row = data[0, :]

• To get the data for the first column:

first_column = data[:, 0]

6. Save the data set

• If you need to save the loaded data set, you can use NumPy’s savetxt() function:

np.savetxt('new_dataset.csv', data, delimiter=',')

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