Skip to main content

# mview Package to show graphic view of pandas.DataFrame.

## Install

pip install mview

## Setting

An external CSV viewer is required. e.g. MS Excel, [CSVFileView](http://www.nirsoft.net/utils/csv_file_view.html).

import mview mview.update_executor(‘path/to/csv-viewer.exe’)

## Usage

import pandas as pd import mview

data = pd.read_csv(‘C:\md\select\pp_20150422.csv’) mview.show(data)

Release files for mview 0.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mview 0.1.3
File Size Uploaded
mview-0.1.3.tar.gz 4.7 kB Details

Release files / mview-0.1.3.tar.gz

Download URL mview-0.1.3.tar.gz
Size 4.7 kB
Tags Source
SHA-256 checksum
How to use checksums
4b151e98374c9da8490bd5da8751ccfc6cd03c2fba340a29d8c4f7a2833de0bb
BLAKE2b-256 checksum
How to use checksums
5b3733a0a007b32a42be517a0a83d6b62cd01fe19a769df2945d30e0efb45cb5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release history Release notifications | RSS feed

This release

0.1.3 This release

1 release file

0.1.2

1 release file

0.1.1

1 release file

0.1.0

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page