extract_random_activities_from_csv.py

from sport_activities_features.data_extraction_from_csv import (
    DataExtractionFromCSV,
)

data_extraction_from_csv = DataExtractionFromCSV()
# Extract data from CSV file to dataframe
activities = data_extraction_from_csv.from_file('<path_to_CSV>')
# With the obtained data we can review e.g.
# how many different types of activities we have
print(activities['activity_type'].value_counts())

# Selection of a certain number of random activities
random_activities = data_extraction_from_csv.select_random_activities(3)
print(random_activities)


# Extract data to list of dataframes from all CSV files in the folder
list_dfs = data_extraction_from_csv.from_all_files('path_to_the_folder')
# From the obtained dataframes we can print e.g. the first 5 activities
# If a file parsing error occurs (if it has the wrong structure), a
# message is displayed.
for df in list_dfs:
    print(df.head())
    print('_______')