Informatics Practices
Ekam, a Data Analyst with a multinational brand has designed the DataFrame df that contains the four quarter’s sales data of different stores as shown below :
| Store | Qtr1 | Qtr2 | Qtr3 | Qtr4 | |
|---|---|---|---|---|---|
| 0 | Store1 | 300 | 240 | 450 | 230 |
| 1 | Store2 | 350 | 340 | 403 | 210 |
| 2 | Store3 | 250 | 180 | 145 | 160 |
Answer the following questions :
(i) Predict the output of the following python statement :
(a) print(df.size)
(b) print(df[1:3])
(ii) Delete the last row from the DataFrame.
(iii) Write Python statement to add a new column Total_Sales which is the addition of all the 4 quarter sales.
Or (Option for part (iii) only)
Write Python statement to export the DataFrame to a CSV file named data.csv stored at D: drive.
Python Pandas
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Answer
(i)
(a) print(df.size)
Output
15
Explanation
The size attribute of a DataFrame returns the total number of elements in the DataFrame df.
(b) print(df[1:3])
Output
Store Qtr1 Qtr2 Qtr3 Qtr4
1 Store2 350 340 403 210
2 Store3 250 180 145 160
Explanation
This statement uses slicing to extract rows 1 and 2 from the DataFrame df.
(ii)
df = df.drop(2)
Output
Store Qtr1 Qtr2 Qtr3 Qtr4
0 Store1 300 240 450 230
1 Store2 350 340 403 210
(iii)
df['Total_Sales'] = df['Qtr1'] + df['Qtr2'] + df['Qtr3'] + df['Qtr4']
Output
Store Qtr1 Qtr2 Qtr3 Qtr4 Total_Sales
0 Store1 300 240 450 230 1220
1 Store2 350 340 403 210 1303
2 Store3 250 180 145 160 735
Or
DataFrame.to_csv('D:\\data.csv')
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