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Python Articles
Page 764 of 855
Write a program in Python to find the lowest value in a given DataFrame and store the lowest value in a new row and column
Assume you have a dataframe, one two three 0 12 13 5 1 10 6 4 2 16 18 20 3 11 15 58The result for storing the minimum value in new row and column is −Add new column to store min value one two three min_value 0 12 13 5 5 1 10 6 4 4 2 16 18 20 16 3 11 15 58 11 Add new row to store min value one two three min_value 0 ...
Read MoreWrite a program in Python to read sample data from an SQL Database
Assume you have a sqlite3 database with student records and the result for reading all the data is, Id Name 0 1 stud1 1 2 stud2 2 3 stud3 3 4 stud4 4 5 stud5SolutionTo solve this, we will follow the steps given below −Define a new connection. It is shown below, con = sqlite3.connect("db.sqlite3")Read sql data from the database using below function, pd.read_sql_query()Select all student data from table using read_sql_query with connection, pd.read_sql_query("SELECT * FROM student", con)ExampleLet us see the complete implementation to get a better understanding −import pandas as pd import sqlite3 con = sqlite3.connect("db.sqlite3") df = ...
Read MoreWrite a Pyton program to perform Boolean logical AND, OR, Ex-OR operations for a given series
Assume you have a series and the result for Boolean operations, And operation is: 0 True 1 True 2 False dtype: bool Or operation is: 0 True 1 True 2 True dtype: bool Xor operation is: 0 False 1 False 2 True dtype: boolSolutionTo solve this, we will follow the below approach.Define a SeriesCreate a series with boolean and nan valuesPerform boolean True against bitwise & operation to each element in the series defined below, series_and = pd.Series([True, np.nan, False], dtype="bool") & TruePerform boolean True against bitwise | operation ...
Read MoreWrite a program in Python to transpose the index and columns in a given DataFrame
Input −Assume you have a DataFrame, and the result for transpose of index and columns are, Transposed DataFrame is 0 1 0 1 4 1 2 5 2 3 6Solution 1Define a DataFrameSet nested list comprehension to iterate each element in the two-dimensional list data and store it in result.result = [[data[i][j] for i in range(len(data))] for j in range(len(data[0]))Convert the result to DataFrame, df2 = pd.DataFrame(result)ExampleLet us see the complete implementation to get a better understanding −import pandas as pd data = [[1, 2, 3], [4, 5, 6]] df = pd.DataFrame(data) print("Original DataFrame is", df) result = [[data[i][j] ...
Read MoreWrite a program in Python to calculate the default float quantile value for all the element in a Series
Input −Assume you have a series and default float quantilevalue is 3.0SolutionTo solve this, we will follow the steps given below −Define a SeriesAssign quantile default value .5 to the series and calculate the result. It is defined below,data.quantile(.5) ExampleLet us see the complete implementation to get a better understanding −import pandas as pd l = [10,20,30,40,50] data = pd.Series(l) print(data.quantile(.5))Output30.0
Read MoreWrite a program in Python to count the records based on the designation in a given DataFrame
Input −Assume, we have a DataFrame and group the records based on the designation is −Designation architect 1 programmer 2 scientist 2SolutionTo solve this, we will follow the below approaches.Define a DataFrameApply groupby method for Designation column and calculate the count as defined below,df.groupby(['Designation']).count()ExampleLet us see the following implementation to get a better understanding.import pandas as pd data = { 'Id':[1,2,3,4,5], 'Designation': ['architect','scientist','programmer','scientist','programmer']} df = pd.DataFrame(data) print("DataFrame is",df) print("groupby based on designation:") print(df.groupby(['Designation']).count())OutputDesignation architect 1 programmer 2 scientist 2
Read MoreWrite a program in Python to store the city and state names that start with 'k' in a given DataFrame into a new CSV file
Input −Assume, we have DataFrame with City and State columns and find the city, state name startswith ‘k’ and store into another CSV file as shown below −City, State Kochi, KeralaSolutionTo solve this, we will follow the steps given below.Define a DataFrameCheck the city starts with ‘k’ as defined below, df[df['City'].str.startswith('K') & df['State'].str.startswith('K')] Finally, store the data in the ‘CSV’ file as below, df1.to_csv(‘test.csv’)ExampleLet us see the following implementation to get a better understanding.import pandas as pd import random as r data = { 'City': ['Chennai', 'Kochi', 'Kolkata'], 'State': ['Tamilnad', 'Kerala', 'WestBengal']} df = pd.DataFrame(data) print("DataFrame is", df) df1 = ...
Read MoreWrite a Python code to select any one random row from a given DataFrame
Input −Assume, sample DataFrame is, Id Name 0 1 Adam 1 2 Michael 2 3 David 3 4 Jack 4 5 PeterOutputput −Random row is Id 5 Name PeterSolutionTo solve this, we will follow the below approaches.Define a DataFrameCalculate the number of rows using df.shape[0] and assign to rows variable.set random_row value from randrange method as shown below.random_row = r.randrange(rows)Apply random_row inside iloc slicing to generate any random row in a DataFrame. It is defined below, df.iloc[random_row, :]ExampleLet us see the following implementation to get a better understanding.import pandas as pd import random as r data = { ...
Read MoreWrite a Python program to sort a given DataFrame by name column in descending order
Input −Assume, sample DataFrame is, Id Name 0 1 Adam 1 2 Michael 2 3 David 3 4 Jack 4 5 PeterOutput −After, sorting the elements in descending order as, Id Name 4 5 Peter 1 2 Michael 3 4 Jack 2 3 David 0 1 AdamSolutionTo solve this, we will follow the below approaches.Define a DataFrameApply DataFrame sort_values method based on Name column and add argument ascending=False to show the data in descending order. It is defined below, df.sort_values(by='Name', ascending=False)ExampleLet us see the following implementation to get a better understanding.import pandas as pd data = {'Id': [1, ...
Read MoreWrite a Python function which accepts DataFrame Age, Salary columns second, third and fourth rows as input and find the mean, product of values
Input −Assume, sample DataFrame is, Id Age salary 0 1 27 40000 1 2 22 25000 2 3 25 40000 3 4 23 35000 4 5 24 30000 5 6 32 30000 6 7 30 50000 7 8 28 20000 8 9 29 32000 9 10 27 23000Output −Result for mean and product of given slicing rows are, mean is Age 23.333333 salary 33333.333333 product is Age 12650 salary 35000000000000SolutionTo solve this, we will follow the below approaches.Define ...
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