CSV Trimming is a Python package designed to clean up crooked CSVs - the kind you get from parking sites, legacy systems, or poorly collected data - and transform them into clean, well-formatted CSVs with just one line of code.
There is no need for complex settings or large language models.
pip install csv_trimming
Python import pandas as pd from csv_trimming import CSVTrimmer
# Load your csv csv = pd.read_csv("tests/documents/noisy/sicilia.csv") # Instantiate the trimmer trimmer = CSVTrimmer() # And trim it trimmed_csv = trimmer.trim(csv) #That's it!
CSV Trimming is a Python package designed to clean up crooked CSVs - the kind you get from parking sites, legacy systems, or poorly collected data - and transform them into clean, well-formatted CSVs with just one line of code.
There is no need for complex settings or large language models.
pip install csv_trimming
Python import pandas as pd from csv_trimming import CSVTrimmer
# Load your csv csv = pd.read_csv("tests/documents/noisy/sicilia.csv") # Instantiate the trimmer trimmer = CSVTrimmer() # And trim it trimmed_csv = trimmer.trim(csv) #That's it!
With the sharp downturn in the crypto market, yelling has become a coping mechanism for many crypto traders. This screaming therapy became popular after the surge of Goblintown Ethereum NFTs at the end of May or early June. Here, holders made incoherent groaning sounds in late-night Twitter spaces. They also role-played as urine-loving Goblin creatures. Co-founder of NFT renting protocol Rentable World emiliano.eth shared the group Tuesday morning on Twitter, calling out the "degenerate" community, or crypto obsessives that engage in high-risk trading. Telegram desktop app: In the upper left corner, click the Menu icon (the one with three lines). Select “New Channel” from the drop-down menu. While some crypto traders move toward screaming as a coping mechanism, many mental health experts have argued that “scream therapy” is pseudoscience. Scientific research or no, it obviously feels good. How to create a business channel on Telegram? (Tutorial)
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