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Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
drop-columns-by-treshold
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https://pypi.org/project/drop_columns_by_treshold/
https://github.com/ganbaaelmer/drop_columns_by_treshold/tree/master/drop_columns_by_treshold
эсвэл
pip install drop_columns_by_treshold
from drop_columns_by_treshold import drop_columns_by_treshold
file_name ='your_file_name.csv'
threshold = 1 # NA percent 1%
df = drop_columns_by_treshold.from_csv_filex(file_name, threshold)
from drop_columns_by_treshold import drop_columns_by_treshold
df = your_data_frame
threshold = 1 # NA percent 1%
df = drop_columns_by_treshold.from_dataframex(df, threshold)
option1:
.csv файл уншиж уг файлаас хоосон утга ихтэй багануудыг өгөгдсөн treshold ийн %-с хамаарч устгана.
option2:
pandas dataframe-с хоосон утга ихтэй багануудыг өгөгдсөн treshold ийн %-с хамаарч устгана.
pandas dataframe df буцаана.
датаны NA-н талаар мэдээлэл харуулна
NA-н heatmap харуулна.
FAQs
drop_columns_by_treshold
We found that drop-columns-by-treshold demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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