How to Build an Online Database APP by Python, PySide6 and Google Sheets (9): View Dividend

Henry Wu
2 min readDec 26, 2023

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Previously

This article is about how to View Dividend in the App:

Call the function in the Main Window

  • Clears the current content in the main window.
  • Creates an instance of DividendsTable, passing google_sheets_client as a parameter.
  • Adds the DividendsTable widget to the main content area for user interaction.
    def display_dividents_form(self):
self.clear_content()
dividends_table = DividendsTable(self.google_sheets_client)
self.content.layout().addWidget(dividends_table)

Create the View Dividend Class

  • __init__: Initializes the widget, sets up the Google Sheets client, and initializes the user interface.
class DividendsTable(QWidget):
def __init__(self, google_sheets_client):
super().__init__()
self.google_sheets_client = google_sheets_client
self.initUI()
  • initUI: Sets up the layout, including creating a QTableWidget for displaying dividend data. The table is configured with specific columns, resizing policies, and selection behaviors.
    def initUI(self):
layout = QVBoxLayout(self)

# Create the table widget with scroll feature
self.table = QTableWidget()
self.table.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)
self.desired_columns = ["Dividend Period", "First Name", "Last Name", "Dividend Amount", "Transaction Amount", "Tax Rate", "Start Date", "ID_Dividend", "ID_Account"]
self.table.setColumnCount(len(self.desired_columns))
self.table.setHorizontalHeaderLabels(self.desired_columns)

# Set the resize mode for each column
for i in range(len(self.desired_columns)):
self.table.horizontalHeader().setSectionResizeMode(i, QHeaderView.ResizeToContents)

self.table.horizontalHeader().setStretchLastSection(True)
self.table.verticalHeader().setDefaultSectionSize(30)
self.table.verticalHeader().setSectionResizeMode(QHeaderView.Fixed)
self.table.setEditTriggers(QTableWidget.NoEditTriggers)
self.table.setSelectionBehavior(QTableWidget.SelectRows)

# Load the data into the table
self.loadData()

layout.addWidget(self.table)
  • loadData: Loads dividend data from the Google Sheets worksheet named "04_Dividends". It filters and sorts the data for the current quarter, maps column names to indices, and populates the table with this data.
    def loadData(self):
current_quarter = self.get_current_quarter()

worksheet = self.google_sheets_client.open_spreadsheet(GOOGLESHEET_ID).worksheet("04_Dividends")
all_data = worksheet.get_all_values()
headers = all_data[0]
dividend_period_index = headers.index("Dividend Period")
id_dividend_index = headers.index("ID_Dividend")

# Filter the data for the current quarter
filtered_data = [row for row in all_data[1:] if row[dividend_period_index] == current_quarter]

# Sort the filtered data in reverse order based on "ID_Dividend"
sorted_data = sorted(filtered_data, key=lambda x: x[id_dividend_index], reverse=True)

# Map column names to indices
column_indices = {name: index for index, name in enumerate(headers)}

# Prepare rows to be displayed in the table
display_rows = []
for row in sorted_data:
display_row = [row[column_indices[col]] for col in self.desired_columns if col in column_indices]
display_rows.append(display_row)

self.table.setRowCount(len(display_rows))

boldFont = QFont()
boldFont.setBold(True)

# Set column header font to bold
for i in range(len(self.desired_columns)):
header = self.table.horizontalHeaderItem(i)
if header:
header.setFont(boldFont)

# Align content to center and set rows
for i, row in enumerate(display_rows):
for j, cell in enumerate(row):
item = QTableWidgetItem(cell)
item.setTextAlignment(Qt.AlignCenter) # Align text to center
self.table.setItem(i, j, item)
  • get_current_quarter: Calculates and returns the current quarter of the year. This method is used to filter the dividend data relevant to the current period.
    def get_current_quarter(self):
month = datetime.now().month
quarter = ((month - 1) // 3) + 1
year = datetime.now().year
return f"{year}Q{quarter}"

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Henry Wu
Henry Wu

Written by Henry Wu

Indie Developer/ Business Analyst/ Python/ AI/ Former Journalist/ Codewriter & Copywriter

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