Reputation: 2093
I have yearly data sets with some missing data. I used this code to read but unable to omit white space present at the end of february. can anyone help to solve this problem?
df1 = pd.read_fwf('DQ404.7_77.txt',widths=ws,header=9, nrows=31, keep_default_na = False)
df1 = df1.drop('Day', 1)
df2 = np.array(df1).T
what I want is to arrange all the data in one column with respect to date. My data is uploaded in this link you can download https://drive.google.com/open?id=0B2rkXkOkG7ExbEVwZUpHR29LNFE
what i wanted is to get time series data from this file and it should be like
Feb,25 13
Feb,26 13
Feb,27 13
Feb,28 13
March, 1 10
March, 2 10
March, 3 10
Not with empty strings in between february and March
Upvotes: 1
Views: 2021
Reputation: 394071
So after a lot of comments it looks like df[df != '']
works for you
Upvotes: 2