<jupyter_start><jupyter_text>This file is used to make time series data<jupyter_code>import numpy as np
import pandas as pd
# simulate data
index = pd.date_range(start='2010-01-01', end='2022-03-30', freq='D')
series = pd.DataFrame(np.random.randint(0, 100, size=(len(series))), index=index)
series.describe
series.names
size=(len(series))
size<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1443850267379679, 'fraction_numerical': 0.053475935828877004, 'mean_word_length': 7.5227272727272725, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '298139', 'license': 'MIT', 'n_tokens_mistral': 151, 'n_tokens_neox': 135, 'n_words': 31, 'path': 'datasets/023DataMaker.ipynb', 'repo_name': 'psychdatascience/PsychDataScienceOne', 'size': '374'}