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Articles on Trending Technologies
Technical articles with clear explanations and examples
How to remove a specified row From the Pandas Series Using Drop() method?
The pandas series.drop() method is used to remove a specific row from the pandas series object. And It will return a series object with the removed row.The drop() method can be applied to both labeled-based and position index abased series objects. The parameters of this drop() method are labels, axis, level, inplace, and raise.It will raise a Key error if the specified row label is not found in the index of the series object. We can suppress the errors by setting the errors parameter from raise to ignore.Example 1# import pandas package import pandas as pd # Creating Series ...
Read MoreHow can we give the scalar value to the pandas series.divmod() method?
The Series.divmod() method in the pandas series constructor is used to perform both integer division and modular division operations on series objects with a scalar, or we can apply this divmod() method on two series also.The method performs an element-wise division operation of its two input objects. And it returns a python tuple with two series objects, the first series of the tuple is representing the integer division output, and the second series object of the tuple representing the modulo division output.Example 1import pandas as pd # create pandas Series series = pd.Series([25, 48, 18, 99, 61]) print("Series ...
Read MoreHow to find the dot product of two pandas series objects?
The series.dot() method in pandas series is used to perform the dot product operation of two pandas series objects. In mathematics, a dot product of two sequences is given by Sum of multiplication of values at each sequence.The series.dot() takes only one parameter which is another object, it takes a series or an array-like object to perform dot product between elements of each object.Example 1# import pandas packages import pandas as pd # Creating Series objects series1 = pd.Series([1, 0, 5, 2]) print('First series object:', series1) series2 = pd.Series([3, 7, 2, 9]) print('second series object:', series2) ...
Read MoreWhat is the difference between SOAP and RESTful Web Services in information security?
SOAP Web ServicesSOAP stands for Simple Object Access Protocol. It is a XML-based protocol for accessing web services. It is produced as an intermediate language so that applications built in multiple programming languages can communicate with each other efficiently. Web services use SOAP for share of XML data among applications.SOAP provides both stateful and stateless operations. Stateful defines that the server keeps the data that it receives from the client across multiple requests. These requests are chained so that the server is aware about the prior requests. Examples are bank transactions, flight bookings, etc. Stateless messaging has adequate information about ...
Read MoreHow to divide a pandas series with scalar using series.div() method?
In the pandas series constructor, the div() or divide() method is used to perform element-wise floating division operation between the two series objects or between a series and a scalar.The method returns a series with resultant floating division values. We can also do the division operation between series and scalar.Here we will see some examples for dividing a series with a scalar.Example 1import pandas as pd # create pandas Series series = pd.Series([13, 48, 6, 72, 8]) print("Series object:", series) # divide print("combined series:", series.div(2))ExplanationIn this example, we will divide the Series with a scalar value “2”. ...
Read MoreHow does pandas series div() method work?
In the pandas series constructor, the div() or divide() method is used to perform floating division of two series objects or division of a series with a scalar value. And performs element-wise division operation.The method returns a series with the result of floating division values. It has 3 parameters, which are fill_value, other, and level. The other parameter is nothing but 2nd input series or a scalar value.The fill_value parameter is used to fill the missing value. If the index is missed at any one of the series objects, then we can fill that missing index value with a specified ...
Read MoreWhat is the use of series.describe method in Pandas?
The describe() method in the pandas.series is used to generate the statistical description of a series object. This method analyzes the description of both numerical and objective series.As a result, the describe() method returns a summarized statistics of the series. It varies depending on the type of input series object.For numerical series, the describe() method analyzes basic statistics like count, mean, std, min, max, and quantile (25%, 50%, and 75%). The 50% quantile is the same as the median.If the series object has object type data, the describe() method analyzes basic statistics like count, unique, top, and freq.Example 1# importing ...
Read MoreWhat are the elements of web services in information security?
A classic Web services includes three elements such as users, services and databases. It can describe a privacy model with three dissimilar types of privacy including user privacy, service privacy, and data privacy which are as follows −User Privacy − Users of a Web service comprise persons (e.g., citizens and case officers), applications, and multiple Web services. In some cases, users conversing with a Web service are required to provide a major amount of personal sensitive information. Users of Web services, though, can expect or need dissimilar levels of privacy as per their observation of the information sensitivity.A user can ...
Read MoreHow does the series.cummim() method work in Pandas?
The cummin() method in the Pandas Series constructor is used to find the cumulative minimum of the elements of a given series.The resultant cumulative minimum object has the same length as the original series object. The parameters of the cummin() method are “axis”, “skipna” and additional keywords.The “skipna” parameter excludes execution of missing values by default, if you want to execute those missing values too then set the skipna parameter to “False” then it includes Nan/null values also.Example 1# importing required packages import pandas as pd import numpy as np # create a pandas Series object series = pd.Series([9, ...
Read MoreWhat is Asymmetric Key Authentication in information security?
Asymmetric encryption is a type of encryption that needs two separates yet mathematically associated keys to encrypt and decrypt information. The public key encrypts data while its correlating private key decrypts it.Asymmetric key authentication is a cryptographic approach that uses a different verification key in the CAD than the proving key utilized by the smart card. This method is usually executed using trapdoor one-way functions, in which smart card creates an electronic signature with its secret key and the CAD needs a public key to authenticate the signature.The Rivest-Shamir-Adelman (RSA) public key cryptosystem is the generally implemented asymmetric key authentication ...
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