# Datasets

# kortical.datasets

This small library is used to access the following list of example datasets within the package:

  • bbc
  • customer_reviews
  • enron
  • enron_multi_label
  • house_price_regression
  • iris
  • margin
  • stock_prices
  • titanic

# datasets.load


This function will return an example dataset from the package, in dataframe format.

Inputs

  • name - A keyword, used to access example datasets (see above).

Returns

  • df - A dataframe.
from kortical import datasets

titanic_df = datasets.load('titanic')
house_price_regression_df = datasets.load('house_price_regression')
# etc...

# datasets.write_to_disk


This function will copy a dataset (.csv file) to your current working directory, unless a full valid path is provided.

Inputs

  • name - A keyword used to access example datasets (see above).
  • path (= None) - If given a full valid path, the file will be copied here; otherwise, the file will appear in your current working directory.

Returns

  • None
import pandas as pd
from kortical import datasets

datasets.write_to_disk('titanic')
titanic_df = pd.read_csv('titanic.csv')

# Or...
datasets.write_to_disk('titanic', path='path/to/my_file.csv')
titanic_df = pd.read_csv('path/to/my_file.csv')