Пример #1
0
    def parse_and_plot(self):
        # Parse the text in the input box and call the plotter function. Show a
        # message box with errors if anything is wrong.

        # Get the text from the input field, and create the dataframe.
        stock_ids = self.stocks_input.text()
        stocks = pd.DataFrame()

        # If there's no text in the box, we shouldn't do anything.
        if not stock_ids:
            return

        QtGui.QMessageBox.information(
            self, "Loading", "The stocks are downloading, "
            "please wait.")

        # Split the text typed by the user, which will contain the stock names.
        # Then download these stocks, and add them to the DataFrame that will be
        # plotted.
        # Catch any exceptions raised, and show error messages accordingly.
        try:
            for id in stock_ids.split(', '):
                try:
                    plotter.addStock(stocks, id)
                except pd.parser.CParserError:
                    # If the stock's id is invalid, a webpage will be
                    # downloaded (the one that is shown in case of a 404
                    # error), instead of the file we're trying to
                    # download. If this happens, we'll show a message to the user.
                    QtGui.QMessageBox.critical(
                        self, "Error",
                        "The stock or index %s doesn't exist, make sure "
                        "you've correctly written its name." % id)
        except IOError:  # The user is not connected to the Internet.
            QtGui.QMessageBox.critical(
                self, "Error", "The stocks couldn't be downloaded, make sure "
                "you have an Internet connection.")

        # If we succeeded in downloading at least one stock, we'll make a chart.
        if not stocks.empty:
            plotter.chart(stocks)
Пример #2
0
    def parse_and_plot(self):
        # Parse the text in the input box and call the plotter function. Show a
        # message box with errors if anything is wrong.

        # Get the text from the input field, and create the dataframe.
        stock_ids = self.stocks_input.text()
        stocks = pd.DataFrame()

        # If there's no text in the box, we shouldn't do anything.
        if not stock_ids:
            return

        QtGui.QMessageBox.information(self, "Cargando",
                                            "Se estan descargando las acciones, "
                                            "por favor espere")

        # Split the text typed by the user, which will contain the stock names.
        # Then download these stocks, and add them to the DataFrame that will be
        # plotted.
        # Catch any exceptions raised, and show error messages accordingly.
        try:
            for id in stock_ids.split(', '):
                try:
                    plotter.addStock(stocks, id)
                except pd.parser.CParserError:
                    # If the stock's id is invalid, a webpage will be
                    # downloaded (the one that is shown in case of a 404
                    # error), instead of the file we're trying to
                    # download. If this happens, we'll show a message to the user.
                    QtGui.QMessageBox.critical(self, "Error",
                                                     "La accion o indice %s no existe, asegurese "
                                                     "de haber escrito correctamente el nombre de este "
                                                     "titulo." % id)
        except IOError:  # The user is not connected to the Internet.
            QtGui.QMessageBox.critical(self, "Error",
                                       "No se pueden agregar las acciones, asegurese "
                                       "de estar conectado a Internet.")

        # If we succeeded in downloading at least one stock, we'll make a chart.
        if not stocks.empty:
            plotter.chart(stocks)
Пример #3
0
def _chart(pool_size, function_name):
    plotter.chart(pool_size, function_name)