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Workflow & Data
NumPy
pandas
Cleaning
EDA & Statistics
Visualization
Feature Engineering
Type conversion
Learn Type conversion in Data Science Foundations with a focused explanation, a topic-specific example, edge guidance, and a mastery check.
12 min read
•
Intermediate
data-science-037.py
python
import pandas as pd
raw=pd.Series(["10","20","not-a-number","40"])
print(pd.to_numeric(raw,errors="coerce"))
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Original Syntaxis Content · Original Syntaxis Content