Stop reading the CSV file after finding empty rows python - python-3.x

Question

I am trying to read a CSV file that has four parts that are on the same page but distinguished by putting some empty rows in the middle of the spreadsheet. I want to somehow ask pandas to stop reading the rest of the file as soon as it finds the empty row.
Edit: I need to elaborate on the problem. I have a CSV file, that has 4 different sections that separated with 3-4 empty rows. I need to extract each of these sections or at least the first section. In other words, I want read_csv stop when it finds the first empty row(of course after skipping rows with detail about the file)
url = urlopen("https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/ftp/30_Industry_Portfolios_CSV.zip")
zipfile = ZipFile(BytesIO(url.read()))
data = pd.read_csv(zipfile.open('30_Industry_Portfolios.CSV'),
header = 0, index_col=0,
skiprows=11,parse_dates=True)

Answer 1

You could use a generator.
Suppose the csv module is generating rows.
(We might use yield from sheet,
except that we'll change the loop in a moment.)
import csv
def get_rows(csv_fspec, skip_rows=12):
with open(csv_fspec) as fin:
sheet = csv.reader(fin)
for _ in range(skip_rows):
next(sheet) # discard initial rows
for row in sheet:
yield row
df = pd.DataFrame(get_rows(my_csv))
Now you want to ignore rows after encountering some condition,
perhaps after initial column is empty.
Ok, that's simple enough, just change the loop body:
for row in sheet:
if row[0]:
yield row
else:
break # Ignore rest of input file.