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Programming Articles
Page 1106 of 2547
How to display base R plot axes titles in italics?
To display base R plot axes titles in italics, we can follow the below steps −First of all, create two vectors and plot them using plot function.Then, use expression function for ylab and xlab to change the axes titles into italics font.Create the vectors and plot themLet’s create two vectors Rate and Demand and plot them using plot function −Rate
Read MoreHow to display X-axis labels inside the plot in base R?
To display X-axis labels inside the plot in base R, we can follow the below steps −First of all, create a plot without X-axis labels and ticks.Then, display the labels inside the plot.After that, display the ticks inside the plot.Create the plotUsing plot function, create a plot without X-axis labels and ticks −plot(1:10, 1:10, xaxt="n", type="n")OutputDisplay the axis labels inside the plotUsing text function to display the X-axis labels inside the plot −plot(1:10, 1:10, xaxt="n", type="n") text(1:10, 1, 1:10, cex=0.8)OutputDisplay the axis ticks inside the plotUsing axis function to display the X-axis ticks inside the plot −plot(1:10, 1:10, xaxt="n", type="n") ...
Read MoreHow to convert a row into column names in R?
To convert a row into column names in R, we can follow the below steps −First of all, create a data frame.Convert the row into column names by using colnames function and subsetting the data frame.Create the data frameLet’s create a data frame as shown below −x
Read MoreHow to print matrix without line numbers in R?
To print matrix without line numbers in R, we can follow the below steps −First of all, create a matrix.Then, print the matrix with as.data.frame and row.names argument set to FALSE.Example1Create the matrixLet’s create a matrix as shown below −M1
Read MoreHow to display count on Y-axis for line chart using ggplot2 in R?
To display count on Y-axis for line chart using ggplot2 in R, we can follow the below steps −First of all, create a data frame.Then, create the line chart using geom_line function of ggplot2 package with fill argument counting the values using count function and binwidth set to 1.Create the data frameLet’s create a data frame as shown below −x
Read MoreHow to scale the R data frame by excluding a particular column?
To scale the R data frame by excluding a particular column, we can follow the below steps −First of all, create a data frame.Then, subset the data frame with single square brackets and scale function.Create the data frameLet’s create a data frame as shown below −Group
Read MoreHow to create scatterplot by standardizing the columns of a data frame using ggplot2 R?
To create scatterplot by standardizing the columns of a data frame using ggplot2 R, we can follow the below steps −First of all, create a data frame.Then, create the scatterplot using ggplot2 with raw values.After that, create the scatterplot with scale function.Create the data frameLet’s create a data frame as shown below −x
Read MoreNode.js – hash.digest() Method
The Hash class is one of the many utility classes that is used for creating the hash digests of data. The hash.digest() method calculates all the data that needs to be hashed passed inside the hash function and returns them. If an encoding is defined, a string will be returned, else a buffer is returned.Syntaxhash.digest([encoding])ParametersIt takes a single parameter −encoding − This input parameter takes input for the encoding to be applied while calculating the hash.Example 1Create a file with the name "hashDigest.js" and copy the following code snippet. After creating the file, use the command "node hashDigest.js" to run ...
Read MoreHow to iterate over rows in a DataFrame in Pandas?
To iterate rows in a DataFrame in Pandas, we can use the iterrows() method, which will iterate over DataFrame rows as (index, Series) pairs.StepsCreate a two-dimensional, size-mutable, potentially heterogeneous tabular data, df.Iterate df using df.iterrows() method.Print each row with index.Exampleimport pandas as pd df = pd.DataFrame( { "x": [5, 2, 1, 9], "y": [4, 1, 5, 10], "z": [4, 1, 5, 0] } ) print "Given DataFrame:", df for index, row in df.iterrows(): print "Row ", index, "contains: " print row["x"], row["y"], row["z"]OutputGiven DataFrame: x y z 0 5 4 4 1 2 1 1 2 1 5 5 3 9 10 0 Row 0 contains: 5 4 4 Row 1 contains: 2 1 1 Row 2 contains: 1 5 5 Row 3 contains: 9 10 0
Read MoreSelect rows from a Pandas DataFrame based on column values
To select rows from a DataFrame based on column values, we can take the following Steps −Create a two-dimensional, size-mutable, potentially heterogeneous tabular data, df.Print the input DataFrame.Use df.loc[df["x"]==2] to print the DataFrame when x==2.Similarly, print the DataFrame when (x >= 2) and (x < 2).Exampleimport pandas as pd df = pd.DataFrame( { "x": [5, 2, 1, 9], "y": [4, 1, 5, 10], "z": [4, 1, 5, 0] } ) print "Given DataFrame is:", df print "When column x value == 2:", df.loc[df["x"] == 2] ...
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