Slice rows and columns from pandas DataFrame
Use
DataFrame.loc[] to extract rows with index 35 to 43 (inclusive) from the 'Industry' and 'Year Established' columns.import pandas as pd
df = pd.read_csv('/data/companies.csv')
# add code here...
subset = df.loc
print(subset.shape)
# expected output: (9, 2)
Python
Setting up Python environment... Output