Pandas Quiz Test: DataFrame Operations

1/19/25, 8:54 PM 2.Quiz Test_Pandas National Institute of Technology Rourkela, Odisha, India, 769008 Department of Computer Science Engineering Lab-2: AI & ML Lab (Pandas Quiz Test) 1. Write a program to initialize a dictionary (of your choice) and create a pandas DataFrame from it. Print the dataframe? In [68]: import pandas as pd data = { 'Name of students': ['Ankit', 'Rahul', 'rohit'], 'Branch': ['CSE','EIE','ECE'], 'Their ages': [19, 20, 21], 'Cities': ['rourkela', 'cuttack', 'sambalpur'] } print(pd.DataFrame(data)) Name of students Branch 0 Ankit CSE 1 Rahul EIE 2 rohit ECE Their ages 19 20 21 Cities rourkela cuttack sambalpur 2. Write a program to read the CSV file "summer.csv" into a pandas DataFrame "df", display the first 5 rows, and print the DataFrame's shape In [5]: df = pd.read_csv("summer.csv") print(df.head()) print(df.shape) file:///C:/Download Items/2.Quiz Test_Pandas.html 1/13 1/19/25, 8:54 PM 2.Quiz Test_Pandas 0 1 2 3 4 Year 1896 1896 1896 1896 1896 City Athens Athens Athens Athens Athens Sport Discipline Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming Event 0 100M Freestyle 1 100M Freestyle 2 100M Freestyle For Sailors 3 100M Freestyle For Sailors 4 100M Freestyle For Sailors (31165, 9) Athlete Country Gender HAJOS, Alfred HUN Men HERSCHMANN, Otto AUT Men DRIVAS, Dimitrios GRE Men MALOKINIS, Ioannis GRE Men CHASAPIS, Spiridon GRE Men \ Medal Gold Silver Bronze Gold Silver 3. Write a program to display the last 10 rows of the DataFrame? In [9]: print(df.head(10)) 0 1 2 3 4 5 6 7 8 9 Year 1896 1896 1896 1896 1896 1896 1896 1896 1896 1896 City Athens Athens Athens Athens Athens Athens Athens Athens Athens Athens Sport Discipline Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming 0 1 2 3 4 5 6 7 8 9 Event 100M Freestyle 100M Freestyle 100M Freestyle For Sailors 100M Freestyle For Sailors 100M Freestyle For Sailors 1200M Freestyle 1200M Freestyle 1200M Freestyle 400M Freestyle 400M Freestyle Athlete Country Gender HAJOS, Alfred HUN Men HERSCHMANN, Otto AUT Men DRIVAS, Dimitrios GRE Men MALOKINIS, Ioannis GRE Men CHASAPIS, Spiridon GRE Men CHOROPHAS, Efstathios GRE Men HAJOS, Alfred HUN Men ANDREOU, Joannis GRE Men CHOROPHAS, Efstathios GRE Men NEUMANN, Paul AUT Men \ Medal Gold Silver Bronze Gold Silver Bronze Gold Silver Bronze Gold 4. Write a program to get a summary of the DataFrame (such as the mean, count, etc.) and print the data types of all columns? In [11]: print(df.describe()) file:///C:/Download Items/2.Quiz Test_Pandas.html 2/13 1/19/25, 8:54 PM 2.Quiz Test_Pandas count mean std min 25% 50% 75% max Year 31165.000000 1970.482785 33.158416 1896.000000 1948.000000 1980.000000 2000.000000 2012.000000 5. Write a program to select a single column "Gender" from the DataFrame? In [13]: print(df['Gender']) 0 1 2 3 4 Men Men Men Men Men ... 31160 Men 31161 Men 31162 Men 31163 Men 31164 Men Name: Gender, Length: 31165, dtype: object 6. Write a program to select multiple columns "Year" and "City" from the DataFrame? In [19]: print(df[['Year','City']]) 0 1 2 3 4 ... 31160 31161 31162 31163 31164 Year 1896 1896 1896 1896 1896 ... 2012 2012 2012 2012 2012 City Athens Athens Athens Athens Athens ... London London London London London [31165 rows x 2 columns] 7. Write a program to filter rows in a DataFrame based on the condition that Gender = Men ? In [23]: print(df[df['Gender'] == 'Men']) file:///C:/Download Items/2.Quiz Test_Pandas.html 3/13 1/19/25, 8:54 PM 2.Quiz Test_Pandas 0 1 2 3 4 ... 31160 31161 31162 31163 31164 Year 1896 1896 1896 1896 1896 ... 2012 2012 2012 2012 2012 City Athens Athens Athens Athens Athens ... London London London London London Sport Aquatics Aquatics Aquatics Aquatics Aquatics ... Wrestling Wrestling Wrestling Wrestling Wrestling Discipline Swimming Swimming Swimming Swimming Swimming ... Wrestling Freestyle Wrestling Freestyle Wrestling Freestyle Wrestling Freestyle Wrestling Freestyle 0 1 2 3 4 ... 31160 31161 31162 31163 31164 Athlete Country Gender HAJOS, Alfred HUN Men HERSCHMANN, Otto AUT Men DRIVAS, Dimitrios GRE Men MALOKINIS, Ioannis GRE Men CHASAPIS, Spiridon GRE Men ... ... ... JANIKOWSKI, Damian POL Men REZAEI, Ghasem Gholamreza IRI Men TOTROV, Rustam RUS Men ALEKSANYAN, Artur ARM Men LIDBERG, Jimmy SWE Men 0 1 2 3 4 ... 31160 31161 31162 31163 31164 Medal Gold Silver Bronze Gold Silver ... Bronze Gold Silver Bronze Bronze \ Event 100M Freestyle 100M Freestyle 100M Freestyle For Sailors 100M Freestyle For Sailors 100M Freestyle For Sailors ... Wg 84 KG Wg 96 KG Wg 96 KG Wg 96 KG Wg 96 KG \ [22746 rows x 9 columns] 8. Write a program to select and print the first 5 rows and columns 2 to 6 (inclusive) of the DataFrame. Also, print the type of the resulting object? In [25]: print(df.iloc[:5, 2:7]) 0 1 2 3 4 Sport Discipline Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming file:///C:/Download Items/2.Quiz Test_Pandas.html Athlete Country Gender HAJOS, Alfred HUN Men HERSCHMANN, Otto AUT Men DRIVAS, Dimitrios GRE Men MALOKINIS, Ioannis GRE Men CHASAPIS, Spiridon GRE Men 4/13 1/19/25, 8:54 PM 2.Quiz Test_Pandas 9. Write a program to delete a column "City" from the DataFrame and print the new dataframe?? In [27]: print(df.drop('City', axis=1)) 0 1 2 3 4 ... 31160 31161 31162 31163 31164 Year 1896 1896 1896 1896 1896 ... 2012 2012 2012 2012 2012 Sport Aquatics Aquatics Aquatics Aquatics Aquatics ... Wrestling Wrestling Wrestling Wrestling Wrestling Country Gender 0 HUN Men 1 AUT Men 2 GRE Men 3 GRE Men 4 GRE Men ... ... ... 31160 POL Men 31161 IRI Men 31162 RUS Men 31163 ARM Men 31164 SWE Men Discipline Swimming Swimming Swimming Swimming Swimming ... Wrestling Freestyle Wrestling Freestyle Wrestling Freestyle Wrestling Freestyle Wrestling Freestyle Athlete HAJOS, Alfred HERSCHMANN, Otto DRIVAS, Dimitrios MALOKINIS, Ioannis CHASAPIS, Spiridon ... JANIKOWSKI, Damian REZAEI, Ghasem Gholamreza TOTROV, Rustam ALEKSANYAN, Artur LIDBERG, Jimmy Event 100M Freestyle 100M Freestyle 100M Freestyle For Sailors 100M Freestyle For Sailors 100M Freestyle For Sailors ... Wg 84 KG Wg 96 KG Wg 96 KG Wg 96 KG Wg 96 KG \ Medal Gold Silver Bronze Gold Silver ... Bronze Gold Silver Bronze Bronze [31165 rows x 8 columns] 10. Write a program to rename a column "Athlete" to "Participants" in the DataFrame? In [29]: print(df.rename(columns={'Athlete': 'Participants'})) file:///C:/Download Items/2.Quiz Test_Pandas.html 5/13 1/19/25, 8:54 PM 2.Quiz Test_Pandas 0 1 2 3 4 ... 31160 31161 31162 31163 31164 Year 1896 1896 1896 1896 1896 ... 2012 2012 2012 2012 2012 City Athens Athens Athens Athens Athens ... London London London London London Sport Aquatics Aquatics Aquatics Aquatics Aquatics ... Wrestling Wrestling Wrestling Wrestling Wrestling Discipline Swimming Swimming Swimming Swimming Swimming ... Wrestling Freestyle Wrestling Freestyle Wrestling Freestyle Wrestling Freestyle Wrestling Freestyle 0 1 2 3 4 ... 31160 31161 31162 31163 31164 Participants Country Gender HAJOS, Alfred HUN Men HERSCHMANN, Otto AUT Men DRIVAS, Dimitrios GRE Men MALOKINIS, Ioannis GRE Men CHASAPIS, Spiridon GRE Men ... ... ... JANIKOWSKI, Damian POL Men REZAEI, Ghasem Gholamreza IRI Men TOTROV, Rustam RUS Men ALEKSANYAN, Artur ARM Men LIDBERG, Jimmy SWE Men 0 1 2 3 4 ... 31160 31161 31162 31163 31164 Medal Gold Silver Bronze Gold Silver ... Bronze Gold Silver Bronze Bronze \ Event 100M Freestyle 100M Freestyle 100M Freestyle For Sailors 100M Freestyle For Sailors 100M Freestyle For Sailors ... Wg 84 KG Wg 96 KG Wg 96 KG Wg 96 KG Wg 96 KG \ [31165 rows x 9 columns] 12. Write a program to display the first 10 rows of the df DataFrame and check for any missing values in each column.? In [44]: print(df.head(10)) print(df.isnull().sum()) file:///C:/Download Items/2.Quiz Test_Pandas.html 6/13 1/19/25, 8:54 PM 2.Quiz Test_Pandas 0 1 2 3 4 5 6 7 8 9 Year 1896 1896 1896 1896 1896 1896 1896 1896 1896 1896 City Athens Athens Athens Athens Athens Athens Athens Athens Athens Athens Sport Discipline Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming Aquatics Swimming Event 0 100M Freestyle 1 100M Freestyle 2 100M Freestyle For Sailors 3 100M Freestyle For Sailors 4 100M Freestyle For Sailors 5 1200M Freestyle 6 1200M Freestyle 7 1200M Freestyle 8 400M Freestyle 9 400M Freestyle Year 0 City 0 Sport 0 Discipline 0 Athlete 0 Country 4 Gender 0 Event 0 Medal 0 dtype: int64 Athlete Country Gender HAJOS, Alfred HUN Men HERSCHMANN, Otto AUT Men DRIVAS, Dimitrios GRE Men MALOKINIS, Ioannis GRE Men CHASAPIS, Spiridon GRE Men CHOROPHAS, Efstathios GRE Men HAJOS, Alfred HUN Men ANDREOU, Joannis GRE Men CHOROPHAS, Efstathios GRE Men NEUMANN, Paul AUT Men \ Medal Gold Silver Bronze Gold Silver Bronze Gold Silver Bronze Gold 13. Write a program to select and print the "Country" and "Medal" columns from the df DataFrame, and then print the number of unique values in each of these columns.? In [46]: print(df[["Country", "Medal"]]) print((df[["Country", "Medal"]])["Country"].nunique()) print((df[["Country", "Medal"]])["Medal"].nunique()) file:///C:/Download Items/2.Quiz Test_Pandas.html 7/13 1/19/25, 8:54 PM 2.Quiz Test_Pandas 0 1 2 3 4 ... 31160 31161 31162 31163 31164 Country HUN AUT GRE GRE GRE ... POL IRI RUS ARM SWE Medal Gold Silver Bronze Gold Silver ... Bronze Gold Silver Bronze Bronze [31165 rows x 2 columns] 147 3 14. Write a program to group the df DataFrame by the "Country" column and calculate the total number of medals for each country. Print the result.? In [48]: print(df.groupby("Country")["Medal"].count()) Country AFG 2 AHO 1 ALG 15 ANZ 29 ARG 259 ... VIE 2 YUG 435 ZAM 2 ZIM 23 ZZX 48 Name: Medal, Length: 147, dtype: int64 15. Write a program to sort the df DataFrame by the "Year" column in descending order and print the first 5 rows of the sorted DataFrame.? In [50]: print(df.sort_values(by="Year", ascending=False).head) file:///C:/Download Items/2.Quiz Test_Pandas.html 8/13 1/19/25, 8:54 PM 2.Quiz Test_Pandas <bound method NDFrame.head of Athlete \ 31164 2012 London Wrestling 29885 2012 London Boxing 29857 2012 London Basketball 29858 2012 London Basketball 29859 2012 London Basketball ... ... ... ... 101 1896 Athens Gymnastics 100 1896 Athens Gymnastics 99 1896 Athens Gymnastics 98 1896 Athens Gymnastics 0 1896 Athens Aquatics 31164 29885 29857 29858 29859 ... 101 100 99 98 0 Country Gender SWE Men IRL Men AUS Women AUS Women AUS Women ... ... GER Men GER Men GER Men GRE Men HUN Men Year City Sport Wrestling Freestyle Boxing Basketball Basketball Basketball ... Artistic G. Artistic G. Artistic G. Artistic G. Swimming Event Wg 96 KG 56KG Basketball Basketball Basketball ... Team, Parallel Bars Team, Parallel Bars Team, Parallel Bars Team, Parallel Bars 100M Freestyle Discipline LIDBERG, Jimmy NEVIN, John Joe BISHOP, Abby CAMBAGE, Elizabeth HARROWER, Kristi ... FLATOW, Gustav Felix FLATOW, Alfred BÖCKER, Konrad MITROPOULOS, Ioannis HAJOS, Alfred Medal Bronze Silver Bronze Bronze Bronze ... Gold Gold Gold Bronze Gold [31165 rows x 9 columns]> 16. Write a program to add a new column "Century" to the df DataFrame. Classify each event as occurring in the "20th Century" if the "Year" is less than 2000, or the "21st Century" if the "Year" is 2000 or later. Print the first 5 rows to verify the change. In [54]: df = pd.read_csv("summer.csv", index_col="Athlete") df["Century"] = df["Year"].apply(lambda x: "20th Century" if x < 2000 else "21st Ce print(df.head()) Athlete HAJOS, Alfred HERSCHMANN, Otto DRIVAS, Dimitrios MALOKINIS, Ioannis CHASAPIS, Spiridon Athlete HAJOS, Alfred HERSCHMANN, Otto DRIVAS, Dimitrios MALOKINIS, Ioannis CHASAPIS, Spiridon file:///C:/Download Items/2.Quiz Test_Pandas.html Year City 1896 1896 1896 1896 1896 Athens Athens Athens Athens Athens Sport Discipline Country Gender Aquatics Aquatics Aquatics Aquatics Aquatics Swimming Swimming Swimming Swimming Swimming HUN AUT GRE GRE GRE \ Men Men Men Men Men Event Medal Century 100M Freestyle 100M Freestyle 100M Freestyle For Sailors 100M Freestyle For Sailors 100M Freestyle For Sailors Gold Silver Bronze Gold Silver 20th Century 20th Century 20th Century 20th Century 20th Century 9/13 1/19/25, 8:54 PM 2.Quiz Test_Pandas 17. Write a program to filter and print rows from the df DataFrame where the "Country" is "USA" and the "Medal" is "Gold". Also, count the number of rows that meet this condition. In [56]: usa_gold = df.loc[(df["Country"] == "USA") & (df["Medal"] == "Gold")] print(usa_gold) print(len(usa_gold)) Athlete BURKE, Thomas CURTIS, Thomas BURKE, Thomas GARRETT, Robert CLARK, Ellery ... WILLIAMS, Serena MAY, Misty WALSH JENNINGS, Kerri BURROUGHS, Jordan Ernest VARNER, Jacob Stephen Year City Sport Discipline 1896 1896 1896 1896 1896 ... 2012 2012 2012 2012 2012 Athens Athens Athens Athens Athens ... London London London London London Athletics Athletics Athletics Athletics Athletics ... Tennis Volleyball Volleyball Wrestling Wrestling Athletics Athletics Athletics Athletics Athletics ... Tennis Beach Volleyball Beach Volleyball Wrestling Freestyle Wrestling Freestyle Country Gender Athlete BURKE, Thomas CURTIS, Thomas BURKE, Thomas GARRETT, Robert CLARK, Ellery ... WILLIAMS, Serena MAY, Misty WALSH JENNINGS, Kerri BURROUGHS, Jordan Ernest VARNER, Jacob Stephen USA USA USA USA USA ... USA USA USA USA USA Men Men Men Men Men ... Women Women Women Men Men Event Medal 100M 110M Hurdles 400M Discus Throw High Jump ... Singles Beach Volleyball Beach Volleyball Wf 74 KG Wf 96 KG Gold Gold Gold Gold Gold ... Gold Gold Gold Gold Gold \ Century 20th Century 20th Century 20th Century 20th Century 20th Century ... 21st Century 21st Century 21st Century 21st Century 21st Century [2235 rows x 9 columns] 2235 18. Write a program to create a new column "Medal Points" in the df DataFrame. Assign 3 points for "Gold", 2 points for "Silver", and 1 point for "Bronze". Print the first 5 rows to verify the changes. In [58]: def medal_points(medal): if medal == "Gold": return 3 elif medal == "Silver": return 2 elif medal == "Bronze": return 1 else: return 0 file:///C:/Download Items/2.Quiz Test_Pandas.html 10/13 1/19/25, 8:54 PM 2.Quiz Test_Pandas df["Medal Points"] = df["Medal"].apply(medal_points) print(df.head()) Athlete HAJOS, Alfred HERSCHMANN, Otto DRIVAS, Dimitrios MALOKINIS, Ioannis CHASAPIS, Spiridon Athlete HAJOS, Alfred HERSCHMANN, Otto DRIVAS, Dimitrios MALOKINIS, Ioannis CHASAPIS, Spiridon Year City 1896 1896 1896 1896 1896 Athens Athens Athens Athens Athens Sport Discipline Country Gender Aquatics Aquatics Aquatics Aquatics Aquatics Swimming Swimming Swimming Swimming Swimming HUN AUT GRE GRE GRE \ Men Men Men Men Men Event Medal Century 100M Freestyle 100M Freestyle 100M Freestyle For Sailors 100M Freestyle For Sailors 100M Freestyle For Sailors Gold Silver Bronze Gold Silver 20th Century 20th Century 20th Century 20th Century 20th Century \ Medal Points Athlete HAJOS, Alfred HERSCHMANN, Otto DRIVAS, Dimitrios MALOKINIS, Ioannis CHASAPIS, Spiridon 3 2 1 3 2 19. Write a program to filter the df DataFrame to include only rows where the "Country" is "USA". Then, group the filtered DataFrame by "Year" and calculate the total number of medals won by the USA each year. Print the results. In [60]: usa_df = df[df["Country"] == "USA"] usa_medals_by_year = usa_df.groupby("Year")["Medal"].count() print(usa_medals_by_year) file:///C:/Download Items/2.Quiz Test_Pandas.html 11/13 1/19/25, 8:54 PM 2.Quiz Test_Pandas Year 1896 20 1900 55 1904 394 1908 63 1912 101 1920 193 1924 198 1928 84 1932 181 1936 92 1948 148 1952 130 1956 118 1960 112 1964 150 1968 149 1972 155 1976 155 1984 333 1988 193 1992 224 1996 260 2000 248 2004 264 2008 315 2012 250 Name: Medal, dtype: int64 20. Write a program to identify the athlete who has won the most medals. Display the athlete's name and the total number of medals they have won. In [64]: most_successful_athlete = df["Medal"].groupby(df.index).count().idxmax() total_medals = df["Medal"].groupby(df.index).count().max() print(f"The most successful athlete is {most_successful_athlete} with {total_medals The most successful athlete is PHELPS, Michael with 22 medals. 21. Write a program to group the df DataFrame by the "Sport" column and calculate the number of each type of medal (Gold, Silver, Bronze) for each sport. Print the results. In [66]: print(df.groupby(["Sport", "Medal"])["Medal"].count()) file:///C:/Download Items/2.Quiz Test_Pandas.html 12/13 1/19/25, 8:54 PM 2.Quiz Test_Pandas Sport Aquatics Medal Bronze Gold Silver Bronze Gold 1365 1421 1384 Archery 90 126 ... Weightlifting Gold 200 Silver 196 Wrestling Bronze 428 Gold 391 Silver 393 Name: Medal, Length: 124, dtype: int64 Good Luck! file:///C:/Download Items/2.Quiz Test_Pandas.html 13/13

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