<jupyter_start><jupyter_text>It is always good to explicitly use ndarray, Series and List, don't always bank on the program to automatically figure it out<jupyter_code>import pandas as pd
import numpy as np

a = pd.Series(data=[1,2,3],index=['i1','i2','i3'])
# data should be a ndarray, not a Series
b = pd.Series(data=a,index=['b1','b2','b3'])
b
b = pd.Series(data=a.values,index=['b1','b2','b3'])
b<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.16511627906976745, 'fraction_numerical': 0.027906976744186046, 'mean_word_length': 6.981481481481482, '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': '661932', 'license': 'MIT', 'n_tokens_mistral': 165, 'n_tokens_neox': 162, 'n_words': 45, 'path': 'pandas/examples/12_array_series_list.ipynb', 'repo_name': 'CySecWee/ML', 'size': '430'}