<jupyter_start><jupyter_text>Drop NaN values from files<jupyter_code>import json
import pandas as pd 
import numpy as np
df = pd.read_csv('data-drop-0/unititletopic_50er_long.csv') #data-results/persontopicterms_50er-2.csv
print(df.head(5))
print(df.describe)
df2= df[~df['value'].isnull()]
print(df2.head(5))
print(df2.describe)
df2.to_csv('data-drop-0/unititletopic_50er_long_komp.csv', index=False)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.14617169373549885, 'fraction_numerical': 0.03480278422273782, 'mean_word_length': 8.391304347826088, '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': '153003', 'license': 'MIT', 'n_tokens_mistral': 186, 'n_tokens_neox': 177, 'n_words': 25, 'path': 'dataanalysis/overview-drop-0.ipynb', 'repo_name': 'sonar-idh/visualization-prototypes', 'size': '431'}