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The CaseFormat class is a utility class for converting between various ASCII case formats −Modifier and TypeMethod and DescriptionObjectclone()Overrides Cloneable.booleanequals(Object obj)Overrides equals.String.format(double number)Specialization of format.abstract StringBufferformat(double number, StringBuffer toAppendTo, FieldPosition pos)Specialization of format.Stringformat(long number)Specialization of format.abstract StringBufferformat(long number, StringBuffer toAppendTo, FieldPosition pos)Specialization of format.ExampleLet us now see an example to implement the CaseFormat class with java file GuavaTester.java −import com.google.common.base.CaseFormat; public class GuavaTester { public static void main(String args[]) { GuavaTester tester = new GuavaTester(); tester.testCaseFormat(); } private void testCaseFormat() { String data = "test_data"; ... Read More
NumberFormat helps you to format and parse numbers for any locale. It is the abstract base class for all number formats.Following are some of the methods of the NumberFormat class−Modifier and TypeMethod and DescriptionObjectclone()Overrides Cloneable.booleanequals(Object obj)Overrides equals.String.format(double number)Specialization of format.abstract StringBufferformat(double number, StringBuffer toAppendTo, FieldPosition pos)Specialization of format.Stringformat(long number)Specialization of format.abstract StringBufferformat(long number, StringBuffer toAppendTo, FieldPosition pos)Specialization of format.ExampleLet us now see an example to implement the NumberFormat class − Live Demoimport java.text.NumberFormat; import java.util.Locale; public class Demo { public static void main(String[] args) { NumberFormat n = NumberFormat.getCurrencyInstance(Locale.FRANCE); double points = 2.15; ... Read More
The Byte class wraps a value of primitive type byte in an object.Following are the fields for Byte class−static byte MAX_VALUE − This is constant holding the maximum value a byte can have, 27-1.static byte MIN_VALUE − This is constant holding the minimum value a byte can have, -27.static int SIZE − This is the number of bits used to represent a byte value in two's complement binary form.static Class TYPE − This is the Class instance representing the primitive type byte.ExampleLet us now see an example − Live Demoimport java.lang.*; public class Demo { public static void main(String[] args){ ... Read More
The Byte class wraps a value of primitive type byte in an object. An object of type Byte contains a single field whose type is byte.Following are some of the methods of the Byte class −Sr.No.Method & Description1byte byteValue()This method returns the value of this Byte as a byte.2int compareTo(Byte anotherByte)This method compares two Byte objects numerically.3static Byte decode(String nm)This method decodes a String into a Byte.4double doubleValue()This method returns the value of this Byte as a double.5boolean equals(Object obj)This method compares this object to the specified object.6float floatValue()This method returns the value of this Byte as a float.7int hashCode()This ... Read More
Python has extensive availability of various libraries and functions which make it so popular for data analysis. We may get a need to sum the values in a single column for a group of tuples for our analysis. So in this program we are adding all the values present at the same position or same column in a series of tuples.It can be achieved in the following ways.Using for loop and zipUsing the for loop we loop through each item and apply zip function to gather the values from each column. Then we apply the sum function and finally get ... Read More
Pandas is a python library offering many features for data analysis which is not available in python standard library. One such feature is the use of Data Frames. They are rectangular grids representing columns and rows. While creating a Data frame, we decide on the names of the columns and refer them in subsequent data manipulation. But there may be a situation when we need to change the name of the columns after the data frame has been created. In this article, we will see how to achieve that.Using rename()This is the most preferred method as we can change both ... Read More
Finding maximum and minimum values from a given list of values is a very common need in data processing programs. Python has these two functions which handle both numbers and strings. We will see both the scenarios in the below examples.Numeric ValuesWe take a list of numeric values which has integers and floats. The functions work appropriately to give both the max and the min values.Example Live Demox=[10, 15, 25.5, 3, 2, 9/5, 40, 70] print("Maximum number is :", max(x)) print("Minimum number is :", min(x))OutputRunning the above code gives us the following result:Maximum number is : 70 Minimum number is : ... Read More
For the purpose of data encapsulation, most object oriented languages use getters and setters method. This is because we want to hide the attributes of a object class from other classes so that no accidental modification of the data happens by methods in other classes.As the name suggests, getters are the methods which help access the private attributes or get the value of the private attributes and setters are the methods which help change or set the value of private attributes.Accessing Private AttributeBelow we write code to create a class, initialize it and access it variables without creating any additional ... Read More
Fractal patterns are all around us in nature. Like a small branch taken out of the leaf of a fern leaf resembles the leaf itself. Or a pebble often resembles the shape of a mountain! So this idea of a repetition of small pattern to generate a large pattern is known as a fractal tree. In python programming we can also generate fractal trees by using various modules available.Using pygame ModuleThis module provides us with the required functions to generate the fractal trees. Here we first defines the screen layout size and then define the deepness up to which the ... Read More
Decision tree is an algorithm which is mainly applied to data classification scenarios. It is a tree structure where each node represents the features and each edge represents the decision taken. Starting from the root node we go on evaluating the features for classification and take a decision to follow a specific edge. Whenever a new data point comes in , this same method is applied again and again and then the final conclusion is taken when all the required features are studied or applied to the classification scenario. So Decision tree algorithm is a supervised learning model used in ... Read More