Skip to main content

This project compares the number of amusement park visitors with COVID infected people.

Project description

Visitors-and-Corona-Virus-Infected

Open in Code Ocean

This project compares the number of amusement park visitors with COVID infected people.

Using a newly_confirmed_cases_daily.xlsx and park_visitor.xlsx, VandC is a line graph.

The newly_confirmed_cases_daily.xlsx and park_visitor.xlsx dataset is downloadable from:

https://github.com/ritakei/VisitorsandCOVID/blob/main/newly_confirmed_cases_daily.xlsx https://github.com/ritakei/VisitorsandCOVID/blob/main/park_visitor.xlsx

The vertical axis is an integer and log display.

How to install Visitors-and-Corona-Virus-Infected

You may need some libraries.

$ pip install matplotlib

$ pip install pandas

$ pip install openpyxl

How to run Visitors-and-Corona-Virus-Infected

The VandC program allows you to plot the number of visitors to amusement parks in Japan and the number of people infected with COVID from January 2020 to March 2022.

$ pip install VisitorsandCOVID

$VisitorsandCOVID

The following command can display a VisitorsandCOVID line graph with. There are no options.

Project details


Download files

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

Source Distribution

VisitorsandCOVID-0.0.10.tar.gz (3.4 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

VisitorsandCOVID-0.0.10-py3.10.egg (5.5 kB view details)

Uploaded Egg

VisitorsandCOVID-0.0.10-py3-none-any.whl (3.7 kB view details)

Uploaded Python 3

File details

Details for the file VisitorsandCOVID-0.0.10.tar.gz.

File metadata

  • Download URL: VisitorsandCOVID-0.0.10.tar.gz
  • Upload date:
  • Size: 3.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for VisitorsandCOVID-0.0.10.tar.gz
Algorithm Hash digest
SHA256 759f635e14f0adb19671f2c00171582da37acf14844f11f3ecf57387bc25dcc6
MD5 941777d5247d535421b01e323e8d606b
BLAKE2b-256 883a56f9921bb1cba964ba7508d5c877362fbaf540a74712e1b25d1e5e1b39b0

See more details on using hashes here.

File details

Details for the file VisitorsandCOVID-0.0.10-py3.10.egg.

File metadata

  • Download URL: VisitorsandCOVID-0.0.10-py3.10.egg
  • Upload date:
  • Size: 5.5 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for VisitorsandCOVID-0.0.10-py3.10.egg
Algorithm Hash digest
SHA256 1805d303b751777e2fcecc4d9178e99ab175a604933567da43cf8762c98c4456
MD5 eeb1b26d5234335d46c6e6e5ced6e2bd
BLAKE2b-256 b3c33f1f11d8f15aceee5eaf9439b26b80d12803293c23497505895bfb4cfbff

See more details on using hashes here.

File details

Details for the file VisitorsandCOVID-0.0.10-py3-none-any.whl.

File metadata

File hashes

Hashes for VisitorsandCOVID-0.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 96a8b1ae520b3c22865f67d90b3eb5be17349e2f4610743f8a7b4baebdfa4a33
MD5 13710c4ed6e34ad3472c8b764eb961f1
BLAKE2b-256 9c317122e9054485011b9dec45483404d6567ddd9d5c28846776d394055820b4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page