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df = pd.DataFrame({'month': [1, 4, 7, 10],
'year': [2012, 2014, 2013, 2014],
'sale': [55, 40, 84, 31]})
df.set_index('month')
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import pandas as pd
# Set column as index
df = df.set_index("column")
# Display DataFrame
print(df)
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import pandas as pd
# Create a sample DataFrame
data = {'Name': ['John', 'Emma', 'Alex'],
'Age': [25, 28, 32],
'Country': ['USA', 'Canada', 'UK']}
df = pd.DataFrame(data)
# Set 'Name' column as the index column
df.set_index('Name', inplace=True)
# Display the updated DataFrame
print(df)
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import pandas as pd
# Assuming you have a dataframe called "df" with columns: col1, col2, ...
# To set a specific column as the index, you can use the set_index() function:
df = df.set_index('col_name') # Replace 'col_name' with the actual column name to be set as index
# Alternatively, you can directly specify the index column while reading a CSV file:
df = pd.read_csv('data.csv', index_col='col_name') # Replace 'col_name' with the actual column name to be set as index