diff --git a/README.md b/README.md
index 9054a57..fdd7545 100644
--- a/README.md
+++ b/README.md
@@ -8,11 +8,11 @@ The scripts should be run in the following order:
                         all functions used in the analysis.
 
 2. plotter.py       -   This is the second script used in the analysis and is the script that performs the most. 
-                        Before getting started, the os.chdir(___) should be set to the 'formules.py' pathway
+                        Before getting started, the os.chdir() should be set to the 'formules.py' pathway
                         The rootdir should be set to the folder containing 7 individual .csv day-files
                         The PtName variable should be set accordingly to the name of the files used. This possibly changes 
                         between different weeks/different patients.
-                        Finally, the CheckWeel.to_csv(___) should be filled with the used weeknumber, to save the 
+                        Finally, the CheckWeel.to_csv() should be filled with the used weeknumber, to save the 
                         parameters of the trendline for each different week.
                         After changing these variables to your liking, the script should run automatically, using the 
                         folder with individual days as input and saving the plots for individual days as well as an 
@@ -21,7 +21,7 @@ The scripts should be run in the following order:
 3. Totalplotter.py  -   After running the plotter.py script you should have ended up with 6 .csv files with parameters 
                         of the trendlines. Make sure that these files are saved within the same folder and set the path
                         of this folder as the rootdir in this script.
-                        Change the names in the plt.title(___) and plt.savefig(___) commands accordingly and run the scripts
+                        Change the names in the plt.title() and plt.savefig() commands accordingly and run the scripts
                         The output will be a plot of all 6 weeks in one figure.