Replace all negative values in a data frame with a 0.
13.Replace all negative values in a data frame with a 0. Soution :- import pandas as pd data =
Read moreAll Tech at one spot
13.Replace all negative values in a data frame with a 0. Soution :- import pandas as pd data =
Read more12. Create a data frame based on e-commerce data and generate descriptive statistics (mean, median, mode, quartile, and variance. Solution
Read more11. Create a Data Frame quarterly sales where each row contains the item category, item name, and expenditure. Group the
Read more10.Given a Series, print all the elements that are above the 75th percentile. Solution :- import pandas as pd import
Read more9. Locate the 3 largest values in a data frame. Solution :- import pandas as pd data={‘Name’:[‘Aman’,’Rohit’,’Deepika’,’Kamal’,’Deva’,’Ramesh’,’Adnan’], ‘Sales’:[8500,4500,9300,8600,9200,9600,8400]} sales=pd.DataFrame(data) #
Read more8.Find the sum of each column, or find the column with the lowest mean. Solution :- import pandas as pd
Read more7. Write the statement in Pandas to find the highest percentage and also print the student’s name and percentage. Solution
Read more6. Read the ‘Student_result.csv’ to create a data frame and do the following operation: To display Student_result file with new
Read more5.Read the ‘Student_result.csv’ to create a data frame and do the following operation: To display Adm_No, Gender and Percentage from
Read moreImporting and exporting data between pandas and CSV file.To create and open a data frame using ‘Student_result.csv’ file using Pandas.
Read more