I am using seaborn
for data visualization. But it fails over the sample data it has in documentation
import seaborn as sns
sns.set()
tips = sns.load
You can download the file manually.
Use
import seaborn as sns
print(sns.utils.get_data_home())
to find out the folder for your seaborn data, e.g. it might come out as C:\Users\username\seaborn-data
on windows.
Download the file https://raw.githubusercontent.com/mwaskom/seaborn-data/master/tips.csv
to that folder. Finally, use the "cached" option
sns.load_dataset("tips", cache=True)
Alternatively download the file to any other folder. Use that folder's pathname as data_home
argument
sns.load_dataset(name, cache=True, data_home="path/to/folder")