Project description

tidytuesdayPy

Download TidyTuesday data.

from tidytuesday import TidyTuesday

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

You can then access each data set as an attribute.

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

0.0.4

Apr 6, 2021

0.0.3

Apr 6, 2021

0.0.2

Apr 6, 2021

This version

0.0.1

Apr 6, 2021

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Uploaded Apr 6, 2021 Source

Uploaded Apr 6, 2021 Python 3

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Download URL: tidytuesday-0.0.1-py3-none-any.whl
Upload date: Apr 6, 2021
Size: 4.1 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.1

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