Reputation: 3
I am reading a CSV data from URL The first row contains title which i am not interested but contains date which i need The second row contains headers of the CSV file which I dont need
From 3rd line I have data which I need to read.
I can use Skiprows =2 but I will be unable to get date info from CSV file or is there a way to get date from skipped rows
I tried to read the whole CSV file as data and drop 2 rows. the coumns or not properly formed in first 2 rows and I get error
Is there a way out
Upvotes: 0
Views: 195
Reputation: 8942
Simply read the first line and then use pandas.read_csv()
to get the CSV data:
with open(path) as fd:
first_line = fd.readline()
df = pd.read_csv(fd, skiprows=1, header=None)
Upvotes: 1