krotcredits.blogg.se - How to show phstat in excel

#HOW TO SHOW PHSTAT IN EXCEL INSTALL#
#HOW TO SHOW PHSTAT IN EXCEL UPDATE#
#HOW TO SHOW PHSTAT IN EXCEL CODE#

Worksheet.insert_chart(pandas_df_nrow+2, 2, chart) # Create a Pandas dataframe from the data. # We then iterate over the rows of the data and insert each row as a separate line (series) in the line chartĭef save_time_series_as_xlsx_with_chart(pandas_df, filename): # We take note of the number of rows and columns, and use those to position the chart below the data # We pass the function a pandas dataframe # The skeleton of below function based on example from:

(The filename of this is used in the source() call in the R script later) import pandas as pd

#HOW TO SHOW PHSTAT IN EXCEL CODE#

The code is available at the following gist: Python script write_xlsx_and_chart_to_file.py

#HOW TO SHOW PHSTAT IN EXCEL INSTALL#

Note also that this shoudl prompt you to install Python if reticulate can't find an existing installation. See the documentation at for different chart types! xlsx file, then builds a line chart below the data.

The script below generates some data, saves it to the. xlsx file from scratch, with a native excel chart based on the data, avoiding having to make a template. I looked into using reticulate to write the. Note that you can copy and save the template before you start the modifications, if you want to provide it as a new file (and to preserve the original template without overwriting it). # should change according to the data you are updatingĬreateName(wb1, "bar_names", "Sheet1!$A$2:$A$5", overwrite = TRUE)ĬreateName(wb1, "values", "Sheet1!$B$2:$B$5", overwrite = TRUE)

#HOW TO SHOW PHSTAT IN EXCEL UPDATE#

# update named ranges for the chart's use. StartRow = 1, startCol = 1, header = TRUE) WriteWorksheet(wb1, data = new.df, sheet = "Sheet1", Wb1 <- loadWorkbook(filename = "edit_chart_via_R_to_excel.xlsx") Mostly use your own data frame and update the reference in the createName function. Second step: use an adaptation of the following code such that it suits your needs. The reason we are using named ranges is that XLConnect is able to control named ranges, hence the chart will dynamically update when we modify the named range. You can access the "Name Manager" in excel in the "Formulas" menu. Named ranges mean you give names to the data you're going to use in the chart, and then you "tell the chart" to use the named range, instead of an absolute location. Note the use of named ranges in the file and in the chart's data references (as Sheet1!bar_names and Sheet1!values instead of Sheet1!$A$2:$A$4 and Sheet1!$B$2:$B$4).Ī side note on named ranges in Excel. You can also use the sample file I created. When you prepare the templates, include the type of charts you need within the sheet, but instead of referring to specific cells, you need to use "named ranges". You can have all the templates on the same file (in different sheets) or in several different files.

Updating the template files with the data from R as required each time.įirst step: prepare templates in excel, according to the types of charts you will need.

Preparing Excel templates for the type of charts you would like to use.

Here's a solution using package XLConnect.Ī small note though, it relies on templates of charts, which you need to create in advance, and it generates new files instead of appending sheets or charts to existing files.