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Table analysis and plotting application written in PySide2/PyQt5

Project description

Introduction

Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit. It uses the pandas DataFrame class to store the table data. Pandas is an open source Python library providing high-performance data structures and data analysis tools.

This application is intended primarily for educational/scientific use and allows quick visualization of data with convenient plotting. The primary goal is to let users explore their tables interactively without any prior programming knowledge and make interesting plots as they do this. One advantage is the ability to load and work with relatively large tables as compared to spreadsheets. The focus is on data manipulation rather than data entry. Though basic cell editing and row/column changes are supported.

Documentation

https://readthedocs.org/projects/tablexplore/

Installation

pip install -e git+https://github.com/dmnfarrell/tablexplore.git#egg=tablexplore

Windows

A Windows standalone binary can be downloaded at https://github.com/dmnfarrell/tablexplore/releases/latest.

Use the widget in Python

Code:

python
from PySide2 import QtCore
from PySide2.QtWidgets import *
from PySide2.QtGui import *
import pandas as pd
from tablexplore import data, core, plotting, interpreter

class TestApp(QMainWindow):
    def __init__(self, project_file=None, csv_file=None):

        QMainWindow.__init__(self)
        self.setAttribute(QtCore.Qt.WA_DeleteOnClose)
        self.setWindowTitle("Example")
        self.setGeometry(QtCore.QRect(200, 200, 800, 600))
        self.main = QWidget()
        self.setCentralWidget(self.main)
        layout = QVBoxLayout(self.main)
        df = data.getSampleData()
        t = core.DataFrameWidget(self.main,dataframe=df)
        layout.addWidget(t)
        #show a Python interpreter
        t.showInterpreter()
        return

if __name__ == '__main__':
    import sys
    app = QApplication(sys.argv)
    aw = TestApp()
    aw.show()
    app.exec_()

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