Skip to main content

Package Dependency: Validates package requirements

Project description

# sview-gui

PyQt5 GUI for data visualisation of csv file or pandas’ DataFrame. This GUI is based on the matplotlib and you can visualize your csv file in various ways. Here are the main features;

  • Scatter, line, density, histgram, and box plot for visualisation your csv
  • Detail setting for the marker size, line width, number of bins of histgram, color map (from cmocean)
  • Save figure as editable PDF
  • Source code of the graph you plotted are recorded in the log window

# Usage

This package has only one method: buildGUI(). This method takes zero or one arguments like bellow. You can use the file path of your csv file as an argument. Also, you can use pandas’ DataFrame object for the argument.

## Sample Code 1 import sviewgui.sview as sv sv.buildGUI()

## Sample Code 2 import sviewgui.sview as sv FILE_PATH = “User/Documents/yourdata.csv” sv.buildGUI(FILE_PATH)

## Sample Code 3 import sviewgui.sview as sv import pandas as pd

FILE_PATH = “User/Documents/yourdata.csv” df = pd.read_csv(FILE_PATH) sv.buildGUI(df)

# About license © 2019 Sojiro Fukuda All Rightss Reserved. Free to modify and redistribute by your own responsibility.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for sviewgui, version 0.3.4
Filename, size File type Python version Upload date Hashes
Filename, size sviewgui-0.3.4-py3-none-any.whl (19.6 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size sviewgui-0.3.4.tar.gz (19.4 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page