Part 1: Introduction to Python PyQt CSV Database and Excel Integration

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Python is a powerful programming language that is commonly used for developing desktop applications. PyQt is a set of Python bindings for the Qt application framework, which allows you to create graphical user interfaces (GUIs) for your applications. In this tutorial, we will show you how to create a simple GUI application in Python using PyQt that can read data from a CSV file and store it in a database, as well as export the data to an Excel file.

Part 1: Setting up the environment

  1. Install Python and PyQt
    First, you need to install Python on your system. You can download the latest version of Python from the official website (https://www.python.org/). Once you have installed Python, you also need to install PyQt. You can install PyQt using the pip package manager by running the following command in your terminal or command prompt:
pip install PyQt5
  1. Install pandas and openpyxl
    In order to work with CSV files and Excel files, you also need to install the pandas and openpyxl libraries. You can install these libraries using the following commands:
pip install pandas
pip install openpyxl
  1. Create a new Python file
    Create a new Python file for your application. You can use any text editor or IDE to create and edit Python files. For this tutorial, we will use the built-in IDLE IDE that comes with Python.

  2. Import the necessary modules
    At the beginning of your Python file, import the necessary modules for working with PyQt, pandas, and openpyxl:
import sys
from PyQt5.QtWidgets import QApplication, QWidget, QLabel, QPushButton, QFileDialog
import pandas as pd
  1. Create the main window
    Next, create a new class for the main application window that inherits from the QWidget class:
class MyApp(QWidget):
    def __init__(self):
        super().__init__()
        self.initUI()

    def initUI(self):
        self.setWindowTitle('CSV Database Excel App')
        self.setGeometry(100, 100, 400, 200)

        self.lbl_file = QLabel('Select CSV file:', self)
        self.lbl_file.move(20, 20)

        self.btn_file = QPushButton('Browse', self)
        self.btn_file.move(150, 20)
        self.btn_file.clicked.connect(self.openFile)

        self.lbl_status = QLabel('Status:', self)
        self.lbl_status.move(20, 60)

        self.show()

In this class, we create a simple window with a QLabel for displaying the status of the application, a QLabel for prompting the user to select a CSV file, and a QPushButton for browsing and selecting a CSV file.

  1. Define the openFile method
    Next, define the openFile method that will be called when the user clicks on the Browse button:
def openFile(self):
    file_dialog = QFileDialog(self)
    file_dialog.setFileMode(QFileDialog.ExistingFile)
    file_dialog.setNameFilter('CSV files (*.csv)')
    if file_dialog.exec_() == QFileDialog.Accepted:
        filename = file_dialog.selectedFiles()[0]
        self.processFile(filename)

In this method, we create a QFileDialog widget to allow the user to select a CSV file. We set the file mode to ExistingFile to allow the user to select a single file. We also set a name filter to only show CSV files in the file dialog. If the user accepts the file dialog, we get the selected file name and pass it to the processFile method.

That’s it for part 1 of the tutorial! In the next part, we will continue by parsing the selected CSV file and storing the data in a database. Stay tuned for part 2!

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@blenderwarrior971
3 months ago

Hey, this is a good video, thank for making it! Underrated