In this tutorial, we will look at how to create heatmaps in Python with the help of some examples. What are Heatmaps? Heatmaps use colour changes like hue, saturation, or brightness to depict the data as 2-D coloured maps. Instead of using numbers to represent relationships between variables, heatmaps use colours. On both axes, these […]
How to Create Heatmaps in Python? Read More »
In this tutorial, we’ll try to understand how to extract links from a text file in Python with the help of some examples. There are multiple ways to extract URLs from a text file using Python. Some of the commonly used methods are – Let’s now look at both methods in detail. We’ll be working
How to Extract Links from a Text File in Python? Read More »
In this tutorial, we’ll try to understand how to add a header in a csv file using Python with the help of some examples. In simple terms, a csv file contains tabular data with comma-separated values in each row. A row header, here, represents an additional row at the top indicating the column names. You
How to add a header in a CSV file using Python? Read More »
In this tutorial, we will look at how to check if all the values in a numpy array are within a specified range with the help of some examples. How to check if array elements are within a range? You can use a combination of comparison operators, the & operator and the numpy all() function
Numpy – Check if Array Values are within a specified Range Read More »
In this tutorial, we will look at how to check if a numpy array is 1d (one-dimensional), 2-d (two-dimensional), or a higher-dimensional array with some examples. How to get the dimensions of a numpy array? You can use a numpy array’s ndim property to get the number of dimensions in the array. For a 1d
Numpy – Check If Array is 1d or 2d Read More »
To check if all the values in a Numpy array are NaN or not, you can use a combination of the numpy.isnan() function and the all() function. The idea is to check if each value in the array is nan or not using numpy.isnan() which results in a boolean array and check if all the
Numpy – Check if Array is all NaN Read More »
In this tutorial, we’ll try to understand how to search and replace all occurrences of a text in a file using Python in two different ways. Method 1 – Search and replace text in a different file In this method, We first open the input file in read mode and open a new file in
How to search and replace text in a file using Python? Read More »
In this tutorial, we’ll try to understand how to determine the file type using Python with the help of some examples. There are multiple ways to detect the type of a file using Python. For example – Let’s look at both methods in detail. Method 1- Using os.path.splitext() method This is an inbuilt method in
Python – Determine File Type Read More »
To check if all the values in a Numpy array are zero or not, you can use a combination of the equality operator == and the all() function. The idea is to compare the array with 0 using the == operator and check if all the values in the resulting boolean array are True or
Numpy – Check if Array is all Zero Read More »
In this tutorial, we will check if a Numpy array has any duplicates or not with the help of some examples. A numpy array is said to have duplicates if one (or more) values in the array occur more than once in the array. For example, in the array, [1, 2, 2, 3, 4], the
Numpy – Check If Array has any Duplicates Read More »
