Pandas read_csv drop column

# Read column names from file
cols = list(pd.read_csv("sample_data.csv", nrows =1))
print(cols)
# Define unused cols
unused = ['col1', 'col2']
# Use list comprehension to remove the unwanted column in **usecol**
df= pd.read_csv("sample_data.csv", usecols =[i for i in cols if i not in unused])

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