Following example demonstrate how can we emphasize the text using creole. emphasizeText.txt @startuml scale 1.5 skinparam NoteBackgroundColor Wheat skinparam NoteBorderColor red skinparam NoteBorderThickness 3 skinparam NoteFontColor black skinparam NoteFontName Papyrus skinparam NoteFontSize 12 ' skinparam NoteFontStyle bold skinparam NoteShadowing true skinparam NoteTextAlignment right Client -> LoginServer: Enter user name Client -> LoginServer: Enter password Client -> LoginServer: Submit the form LoginServer -> ADServer: Check the credentials ADServer -> LoginServer: L ..read more

Following skinparam commands customize legend font, color. skinparam LegendBackgroundColor palegreen skinparam LegendBorderColor aqua skinparam LegendBorderThickness 5 skinparam LegendFontColor red skinparam LegendFontName Papyrus skinparam LegendFontSize 18 skinparam LegendFontStyle italic   legendCustomizationViaSkinparam.txt @startuml skinparam LegendBackgroundColor palegreen skinparam LegendBorderColor aqua skinparam LegendBorderThickness 5 skinparam LegendFontColor red skinparam LegendFontName Papyrus skinparam LegendFontSize 18 skinparam LegendFontStyle italic legend top center ..read more

Following snippet customize the legend color, font. <style> legend{ FontColor #red FontName Papyrus FontSize 24 FontStyle italic } </style>   legendColorAndFont.txt @startuml <style> legend{ FontColor #red FontName Papyrus FontSize 24 FontStyle italic } </style> legend top center short legend on center end legend Client -> LoginServer: Enter user name Client -> LoginServer: Enter password Client -> LoginServer: Submit the form LoginServer -> ADServer: Check the credentials ADServer -> LoginServer: Logi ..read more

Using ‘sum’ method of DataFrameGroupBy object, we can compute the sum of values within each group. Example data = { 'Name': ['Krishna', 'Chamu', 'Joel', 'Gopi', 'Sravya', "Raj"], 'Age': [34, 25, 29, 41, 52, 23], 'City': ['Bangalore', 'Chennai', 'Hyderabad', 'Hyderabad', 'Bangalore', 'Chennai'], 'Gender': ['Male', 'Female', 'Male', 'Male', 'Female', 'Male'], 'Weight': [74, 58, 85, 87, 63, 79]} df = pd.DataFrame(data) group_by_city = df.groupby('City') sum_of_age_and_weight_group_by_city = group_by_city[['Age', 'Weight']].sum()   In the above example, I ..read more

Using 'DataFrameGroupBy.max()' method, we can get the maximum value for each group. Example data = { 'Age': [34, 25, 29, 41, 52, 23], 'Name': ['Krishna', 'Chamu', 'Joel', 'Gopi', 'Sravya', "Raj"], 'City': ['Bangalore', 'Chennai', 'Hyderabad', 'Hyderabad', 'Bangalore', 'Chennai'], 'Gender': ['Male', 'Female', 'Male', 'Male', 'Female', 'Male']} df = pd.DataFrame(data) group_by_city = df.groupby('City') min_ele_in_each_group = group_by_city.min() In the example above, I defined a DataFrame df with columns "Age", "Name", "City" and "Gender", grouped the DataFrame by the ..read more

Using 'DataFrameGroupBy.max()' method, we can get the maximum value for each group. Example data = { 'Age': [34, 25, 29, 41, 52, 23], 'Name': ['Krishna', 'Chamu', 'Joel', 'Gopi', 'Sravya', "Raj"], 'City': ['Bangalore', 'Chennai', 'Hyderabad', 'Hyderabad', 'Bangalore', 'Chennai'], 'Gender': ['Male', 'Female', 'Male', 'Male', 'Female', 'Male']} df = pd.DataFrame(data) group_by_city = df.groupby('City') max_ele_in_each_group = group_by_city.max()   In the example above, I defined a DataFrame df with columns "Age", "Name", "City" and "Gender", grouped the DataFrame ..read more

In this blog post, we'll explore the ins and outs of Java records, a feature introduced in Java 14 aimed at simplifying the creation of immutable data classes. We'll cover what records are, provide examples, compare them with traditional classes, address common questions, and explore their usage in Spring applications.   What is a Record Java records are a special kind of class introduced in Java 14. They are designed to be lightweight, immutable data carriers, providing a concise way to declare classes that solely hold data without any additional behaviour. Records are immutable by defau ..read more

‘legend’ and ‘end legend’ keywords are used to put a legend to the diagram. A legend location can be specified using below keywords combination. a.   left b.   right c.    top d.   botto e.   center   legend.txt @startuml legend top center short legend on center end legend Client -> LoginServer: Enter user name Client -> LoginServer: Enter password Client -> LoginServer: Submit the form LoginServer -> ADServer: Check the credentials ADServer -> LoginServer: Login Successful LoginServer -> Client ..read more

captionColorFont.txt @startuml <style> caption { FontColor #red FontName Papyrus FontSize 24 FontStyle italic } </style> caption figure 1 : Login Server Client -> LoginServer: Enter user name Client -> LoginServer: Enter password Client -> LoginServer: Submit the form LoginServer -> ADServer: Check the credentials ADServer -> LoginServer: Login Successful LoginServer -> Client: Login Successful @enduml   Above snippet generate below diagram.     Previous             &n ..read more

Using ‘caption’ keyword, you can add a caption under the diagram. caption.txt @startuml caption figure 1 : Login Server Client -> LoginServer: Enter user name Client -> LoginServer: Enter password Client -> LoginServer: Submit the form LoginServer -> ADServer: Check the credentials ADServer -> LoginServer: Login Successful LoginServer -> Client: Login Successful @enduml   Above snippet generate below diagram.      Previous                     &n ..read more