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Articles by Hafeezul Kareem
Page 25 of 26
Run Length Encoding in Python
In this tutorial, we are going to learn how to create a run-length encoding in Python. Given a string return a new string containing char and frequency.For example, the string tutorialspoint will be encoded as t3u1o2r1i2a1l1s1p1n1. The order is every char+frequency. Join all of them and return. See the steps below to write the program.Write the function with the name run_length_encoding.Initialize a dictionary with OrderedDict to get an initial count of chars as 0.Iterate over every character of the string and increment the count in the dictionary.Join all the chars and their frequencies. And print it.Initialize the strings and invoke ...
Read MoreGet a google map image of specified location using Google Static Maps API in Python
Google provides a static maps API that returns a map image on our HTTP request. We can directly request for a map image with different parameters based on our need.We have to create a billing account on Google to use this API. You can go to the website for more details.Let's see the steps to get the image of a location.Import the requests module.Initialise your API Key and base URL ("https://maps.googleapis.com/maps/api/staticmap?").Initialize the city and zoom value.Update the URL with API Key, City, and Zoom value.USend an HTTP request. And write the response to a file for saving the image.pdate the ...
Read MoreFind current weather of any city using OpenWeatherMap API in Python
In this tutorial, we are going to get the weather of a city using OpenWeatherMap API. To use the OpenWeatherMap API, we have to get the API key. We will get it by creating an account on their website.Create an account and get your API Key. It's free until 60 calls per minute. You have to pay if you want more than that. For this tutorial, the free version is enough. We need requests module for the HTTP requests and JSON module to work with the response. Follow the below steps to the weather of any city.Import the requests and JSON ...
Read MoreCount all prefixes in given string with greatest frequency using Python
In this tutorial, we are going to write a program that counts and prints the words with a higher frequency of an alphabet than the second one.Take a string and two alphabets. The prefixes with a higher frequency of the first alphabet will be printed. And display the count at the end of the output.Let's see some examples.Inputstring:- apple alphabets:- p, eOutputap app appl apple 4Inputstring:- apple alphabets:- e, pOutput0Let's see the steps to write the code.Define a function and write the code in it.Initialize count to 0 and an empty string.Iterate over the string.Get the prefix using the string ...
Read MoreBoolean Indexing in Pandas
Boolean indexing helps us to select the data from the DataFrames using a boolean vector. We need a DataFrame with a boolean index to use the boolean indexing. Let's see how to achieve the boolean indexing.Create a dictionary of data.Convert it into a DataFrame object with a boolean index as a vector.Now, access the data using boolean indexing.See the example below to get an idea.Exampleimport pandas as pd # data data = { 'Name': ['Hafeez', 'Srikanth', 'Rakesh'], 'Age': [19, 20, 19] } # creating a DataFrame with boolean index vector data_frame = pd.DataFrame(data, index = [True, False, True]) ...
Read MoreChange data type of given numpy array in Python
We have a method called astype(data_type) to change the data type of a numpy array. If we have a numpy array of type float64, then we can change it to int32 by giving the data type to the astype() method of numpy array.We can check the type of numpy array using the dtype class. Let's check the data type of sample numpy array.Example# importing numpy library import numpy as np # creating numpy array array = np.array([1, 2, 3, 4, 5]) # printing the data type of the numpy array print(array.dtype)OutputIf you run the above code, you will get the ...
Read MoreApply function to every row in a Pandas DataFrame in Python
In this tutorial, we are going to learn about the most common methods of a list i.e.., append() and extend(). Let's see them one by one.apply()It is used to apply a function to every row of a DataFrame. For example, if we want to multiply all the numbers from each and add it as a new column, then apply() method is beneficial. Let's see different ways to achieve it.Example# importing the pandas package import pandas as pd # function to multiply def multiply(x, y): return x * y # creating a dictionary for DataFrame data = { 'Maths': ...
Read MoreApply uppercase to a column in Pandas dataframe in Python
In this tutorial, we are going to see how to make a column of names to uppercase in DataFrame. Let's see different ways to achieve our goal.ExampleWe can assign a column to the DataFrame by making it uppercase using the upper() method.Let's see the code.# importing the pandas package import pandas as pd # data for DataFrame data = { 'Name': ['Hafeez', 'Aslan', 'Kareem'], 'Age': [19, 21, 18], 'Profession': ['Developer', 'Engineer', 'Artist'] } # creating DataFrame data_frame = pd.DataFrame(data) # displaying the DataFrame print('---------------------Before-------------------') print(data_frame) print() # making the Name column strings to upper case data_frame['Name'] = ...
Read MoreArithmetic Operations on Images using OpenCV in Python
In this tutorial, we are going to learn about the arithmetic operations on Images using OpenCV. We can apply operations like addition, subtraction, Bitwise Operations, etc.., Let's see how we can perform operations on images.We need the OpenCV module to perform operations on images. Install the OpenCV module using the following command in the terminal or command line.pip install opencv-python==4.1.1.26If you run the above command, you will get the following successful message.Collecting opencv-python==4.1.1.26 Downloading https://files.pythonhosted.org/packages/1f/51/e0b9cef23098bc31c77b0e0 6221dd8d05119b9782d4c2b1d1482e22b5f5e/opencv_python-4.1.1.26-cp37-cp37m-win_amd64.w hl (39.0MB) Requirement already satisfied: numpy>=1.14.5 in c:\users\hafeezulkareem\anaconda3\l ib\site-packages (from opencv-python==4.1.1.26) (1.16.2) Installing collected packages: opencv-python Successfully installed opencv-python-4.1.1.26AdditionWe can add two images using ...
Read Moreas_integer_ratio() in Python for reduced fraction of a given rational
In this tutorial, we are going to write a program that returns two numbers whose ratio is equal to the given float value. We have a method called as_integer_ratio() that helps to achieve our goal.Let's see some examples.Input: 1.5 Output: 3 / 2 Input: 5.3 Output: 5967269506265907 / 1125899906842624Let's examine the code.Example# initializing the float value float_value = 1.5 # getting integers tuple using the as_integer_ratio() method integers = float_value.as_integer_ratio() # printing the integers print(f'{integers[0]} / {integers[1]}')OutputIf you run the above code, you will get the following results.3 / 2 Let's see another example.Example# initializing the float value float_value = ...
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