Function to skip meta data in a .csv file using Python

[ajgardev]

I have a functioning code to skip the meta data in a .csv file using Python. However, I cannot understand what this part of the code is doing:

else: if not col: continue #No columns found yet else: i+=1 #Last column found break 

The whole code is as follows:

def readPandoraCSV(file): with open(file) as f: lines=f.readlines() col=0 for i in range(len(lines)): line=lines[i] if line[0:6]=='Column': col+=1 else: if not col: continue #No columns found yet else: i+=1 #Last column found break df=read_csv(file,skiprows=range(i),header=None) try: df['JDate']=df[df.columns[0]].apply(getJD) df=df.drop(df.columns[0],1) except: df['JDate']=df[df.columns[1]].apply(getJD) df=df.drop(df.columns[1],1) return df

The meta data in the .csv file looks as follows:

https://i.stack.imgur.com/uS4zJ.jpg

[Larz60+]

if col == 0, then if not col is True.

continue means skip remainder of this iteration (of loop) and continue with next

break means quit loop unconditionally