When using R it\'s handy to load \"practice\" datasets using
data(iris)
or
data(mtcars)
Is there something s
Any publically available .csv file can be loaded into pandas extremely quickly using its URL. Here is an example using the iris dataset originally from the UCI archive.
import pandas as pd
file_name = "https://raw.githubusercontent.com/uiuc-cse/data-fa14/gh-pages/data/iris.csv"
df = pd.read_csv(file_name)
df.head()
The output here being the .csv file header you just loaded from the given URL.
>>> df.head()
sepal_length sepal_width petal_length petal_width species
0 5.1 3.5 1.4 0.2 setosa
1 4.9 3.0 1.4 0.2 setosa
2 4.7 3.2 1.3 0.2 setosa
3 4.6 3.1 1.5 0.2 setosa
4 5.0 3.6 1.4 0.2 setosa
A memorable short URL for the same is https://j.mp/iriscsv
. This short URL will work only if it's typed and not if it's copy-pasted.