<jupyter_start><jupyter_text>Introduction to QGRid**My own tests of qgrid extension for Pandas**qgrid is a library that displays dataframes and series as interactive objects, much like you would see in RStudio or Spyder<jupyter_code>import numpy as np
import pandas as pd
import qgrid

df = pd.read_csv('data/movie.csv')
qgrid_widget = qgrid.show_grid(df, show_toolbar=True)
qgrid_widget
import numpy as np
import pandas as pd
import qgrid

qgrid.enable()

df = pd.read_csv('data/movie.csv')
df<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.07633587786259542, 'fraction_numerical': 0.0, 'mean_word_length': 6.191780821917808, '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': '184416', 'license': 'MIT', 'n_tokens_mistral': 179, 'n_tokens_neox': 172, 'n_words': 59, 'path': 'QGrid_Test.ipynb', 'repo_name': 'ndb38/pandas-cookbook', 'size': '524'}