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This tutorial was part of the second Qt for Python webinar. To use the model we'll need a basic application structure and some dummy data. In the next parts we'll look at two Python data table libraries numpy and pandas and how to integrate these with Qt. import pandas as pd data = {'Month' : ['January', 'February', 'March', 'April'], 'Expense': [ 21525220.653, 31125840.875, 23135428.768, 56245263.942]} Here is the solution to display a Pandas data frame with PyQt5/PySide2 using a QTableWidget: In this code, we first create a Pandas dataframe with some data. The following examples use a nested list of lists as a data source. I've been able to display it correctly, but the headers do not show up. The default 1,2,3,4, etc.. are there in place of the actual headers. The documentation provided herein is licensed under the terms of the GNU Free Documentation License version 1.3 (https://www.gnu.org/licenses/fdl.html) as published by the Free Software Foundation. We get the length of each axis by selecting the correct item from this tuple, e.g. Simple and faster way to write a dataframe to QtableWidget. You can also create a data model and display it using If you add this to your model's data handler, all negative numbers will now appear red. The contents is set with self.setItem(m, n, newitem), where m and n is the coordinate inside the table. The following creates a table widget using the QTableWidget class: table = QTableWidget (parent) Code language: Python (python). different colors: Define a function to translate the hex code into an RGB equivalent: Configure the QTableWidget to have a number of rows equivalent Thanks for the post @Frederick Li - though I did modify the. We will add a Menu called "File" and include a QAction called "Exit" to close the window. For this we just need to go over our data and include the data on a QLineSeries. Asking for help, clarification, or responding to other answers. add them into the table using a x, y coordinate. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR What is the best way to read a JSON file and obtain the values without the invisible characters in Python? We must update it for this we use the cellChanged signal that gives us the row and column, then we use the item() method that returns the QTableWidgetItem given the column and row, then we use the text() method of QTableWidgetItem.. python The same principle can be used to apply gradients to numeric values in a table to, for example, highlight low and high values. This method returns the lowest index of the substring you're looking for in the Pandas column, or -1 if the substring isn't found.