load <- loadWorkbook(file_path)ĭata <- readNamedRegion(load, name_Region_1. If you want to load multiple named regions you can load the workbook with the loadWorkbook function and then import each region with the readNamedRegion function. data <- readNamedRegionFromFile(file, # File path Analogous to the previous example, you can import just a region with the readNamedRegionFromFile, specifying the file name (if the file is in your working directory) or the file path and the region name. Moreover, this package provides a function to load Excel named regions. In case you want to load multiple sheets, it is recommended to use the loadWorkbook function and then load each sheet with the readWorksheet function: load <- loadWorkbook(file_path)ĭata <- readWorksheet(load, sheet = "list-column",ĭata2 <- readWorksheet(load, sheet = "two-row-header", # install.packages("XLConnect")ĭata <- readWorksheetFromFile(file_path, sheet = "list-column", Create an excel file with the name employee.xls and write some data into it.
#Java xlsx file reader code
Now create a class file with the name ReadExcelFileDemo and write the following code in the file. We recommend you to type ?XLConnect to look for additional information of the arguments of each function of the package. Set the Class-Path: Right-click on the project ->Build Path ->Add External JARs -> select all the above jar files -> Apply and close. In order to load an Excel file into R you can use the readWorksheetFromFile function as follows. read.xlsx(file_path, cols = 1:2, rows = 2:3) Name ClippyĪn alternative to the xlsx package is XLConnect, which allows writing, reading and formatting Excel files. Recall to type ?read.xlsx or help(read.xlsx) for additional information. If you want to select specific cells you can make use of the rows and cols arguments. The function to read XLSX files is named read.xlsx: # install.packages("openxlsx")Īs in the function of the previous package, there are several arguments you can customize, as sheet, skip or colNames. The differences respect to the previous package are that the output is of class ame by default instead of tibble and that its main use is not just importing Excel files, as it also provides a wide variety of functions to write, style and edit Excel files. The openxlsx package uses Rcpp and, as it doesn’t depend on JAVA, it is an interesting alternative to to the readxl package to read an Excel file in R. Nonetheless, if you know the file extension you are going to read you can use the corresponding function of the following to avoid guessing: # If you know the extension of your Excel file Recall that the read_excel function guesses the file extension. If you want the output to be of class ame you will need to use the as.ame function as follows: data <- read_excel(file_path, skip = 1) However, you may have noticed that the output is of class tibble (a modern type of data frame). In addition, if you want to avoid reading the column names, you can set the col_names argument to FALSE: read_excel(file_path, col_names = FALSE) New names: read_excel(file_path, range = "B1:B5") # A tibble: 4 x 1 In this case, the skip argument won’t be taken into account if you specify it. Note that you could also specify a range of cells to be selected with the range argument. Read_excel(file_path, skip = 1) # A tibble: 3 x 2 You can also skip rows with the skip argument of the function: # Skip first row Read_excel(file_path, sheet = 2) # Equivalent # A tibble: 2 x 4ġ (at birth) (office supply type) (date is approximate) (in grams) Read_excel(file_path, sheet = "two-row-header")
# Selecting the other sheet of the Excel file
Note that, by default, the function loads the first Excel sheet. The sheet argument allows you to specify the sheet you want to load, passing its name or the corresponding number of the tab. # Get the path of a sample XLSX dataset of the package Once loaded, or once you have the path of your own Excel file, you can use the excel_sheets function to check the Excel file sheet names, if needed. Apache POI-HSSF also allows developers to merge cells into a single cell. The Font is an interface that provides methods to handle the font. We can create the font, set the color, set size, etc. Apache POI-HSSF provides methods that enable Java programmers to handle font in Excel spreadsheets. Import .usermodel.In order to load the path of the sample Excel file you can make use of the readxl_example function. Fonts Handling & Merging Cells of XLS Spreadsheets.
#Java xlsx file reader how to
how to modify the code further? import java.io.File but not reading the large data files in excel files. This coding is able to read the small data of excel file.