Python program to find unique values from multiple columns# Importing pandas package import pandas as pd # Creating a dictionary d = { 'Name':['Raghu','Rajiv','Rajiv','Parth'], 'Age':[30,25,25,10], 'Gender':['Male','Male','Male','Male'] } # Creating a DataFrame df = pd....
Let’s assume a scenario where we have an Excel file that contains information about the products that a country exports to different countries in Europe. We have the Product name, exported Amount, and the Country to which the product is exported. We will find every unique product that this...
In this article, you will not only have a better understanding of how to find outliers, but how and when to deal with them in data processing.
In Python, you cannot directly concatenate a string and an integer using the+operator because they are different data types. Python is a statically typed language, which means it checks the data type of variables at runtime. When you try to concatenate a string and an integer, Python throws ...
Wouldn’t it be more straightforward to directly call copy.deepcopy() and let Python handle the details? Well, why don’t you find out: Python >>> with DataFile("person.json") as data_file: ... deep_copy = copy.deepcopy(data_file) ... Traceback (most recent call last): .....
Discussion: Since you have to create an extra list to store the unique values, this approach is not the most efficient way to find and count the unique values in a list as it takes a lot of time and space. Method 2: Using set() ...
https://www.amazon.in/gp/bestsellers/books/.The page argument can be modified to access data for each page. Hence, to access all the pages you will need to loop through all the pages to get the necessary dataset, but first, you need to find out the number of pages from the website...
Error: An error occurred while assigning a value to variable "Result": "Unable to find column Result in the result set.". Error: An error occurred while skipping data rows Error: Data conversion failed while converting column ERROR: Method not found: 'System.String Microsoft.SqlServer.VSTA...
In this step-by-step tutorial, you'll learn the fundamentals of descriptive statistics and how to calculate them in Python. You'll find out how to describe, summarize, and represent your data visually using NumPy, SciPy, pandas, Matplotlib, and the built
In this approach, each label is assigned a unique integer based on alphabetical ordering. We can implement this using the Scikit-learn library. importpandasaspdimportnumpyasnpdf = pd.read_csv(“cars_data.csv”)df.head() Python This dataset contains some null values, so it’s important to re...