Project description

tidytuesdayPy

Download TidyTuesday data. Inspired by tidytuesdayR.

from tidytuesday import TidyTuesday

tt = TidyTuesday("2021-04-06")

You can then access each data set as an attribute. Hyphens (if present) are converted to underscores.

df = tt.forest

You can also access the readme.

print(tt.readme)

These details have not been verified by PyPI

0.1.0

Nov 3, 2024

0.0.7

Jan 20, 2024

0.0.6

Apr 26, 2021

0.0.5

Apr 11, 2021

This version

0.0.4

Apr 6, 2021

0.0.3

Apr 6, 2021

0.0.2

Apr 6, 2021

0.0.1

Apr 6, 2021

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

Uploaded Apr 6, 2021 Source

Uploaded Apr 6, 2021 Python 3

Hashes for tidytuesday-0.0.4.tar.gz
Algorithm	Hash digest
SHA256	`a0a4e05f543ee0e86f97bcfe713cf4be280d3136f2a196358aba6ecc8294246d`
MD5	`63cf2c598d2af94c4de340f4aa3e70e3`
BLAKE2b-256	`20f628462f0fd5df06b40cde96c900c69e9923647d9c6a34aab1d9104ad6a4b1`

Hashes for tidytuesday-0.0.4-py3-none-any.whl
Algorithm	Hash digest
SHA256	`758a50da4d16908485b269ddcca8ef1be3aad1dff1f0e3e6255fbcbb5f5543dd`
MD5	`38a5b8450992d96e15548b43b6a892ac`
BLAKE2b-256	`099a23a6ea36a3d63a21022b735c7bc6f51a8093e32ec80c4856c074283e50eb`