dfname#

Purpose#

Set column variable names.

Format#

x_meta = dfname(x, varnames[, columns])#
Parameters:
  • X (NxK matrix or dataframe) – data.

  • varnames (Mx1 vector) – Names to apply to columns specified in columns.

  • columns (Mx1 vector) – Optional argument, indices of columns in X to be assigned names. Default = all columns.

Returns:

x_meta (NxK dataframe) – Data with column names in varnames assigned to the columns in columns.

Examples#

Example 1: Convert a matrix to a dataframe and set variable names#

x = { 1  15  15,
      5  19   8,
     16  14   4,
      7  19   6 };

// Create new dataframe x_meta with the specified variable names
df_x = dfname(x, "Planes"$|"Trains"$|"Automobiles");

print df_x;

The above code will print out:

Planes  Trains  Automobiles
     1      15           15
     5      19            8
    16      14            4
     7      19            6

Below we change the name of an existing variable.

// Change variable name of first column of x_meta
df_x = dfname(df_x, "Airplanes", "Planes");
Airplanes  Trains  Automobiles
        1      15           15
        5      19            8
       16      14            4
        7      19            6

Example 2: Convert a string array to a dataframe and set variable names#

// Create a 3x1 string array
apples = "Gala" $| "Fuji" $| "Rome";

// Create new dataframe
apples = dfname(apples, "Variety");
print apples;

The above code will print out:

Variety
   Gala
   Fuji
   Rome

Now that apples is a dataframe, we can use the concatenation operators to combine it with a numeric variable.

// Create a 3x1 vector
n = { 437, 672, 231 };

// Add a name to 'n' and combine with 'apples'
apples = apples ~ dfname(n, "count");
print apples;
Variety    count
   Gala      437
   Fuji      672
   Rome      231

Remarks#

  • dfname() will automatically convert string arrays to categorical variables matrices to datframes with numeric columns.

  • To convert date strings to date variables, use asDate().

  • asdf() will also convert strings and numeric data to dataframes with the option to set the variable names.

See also

Functions getColNames(), asdf(), dfType()