csv

问题 I have Pandas DataFrame (loaded from .csv) with Date-time as index.. where there is/have-to-be one entry per day. The problem is that I have gaps i.e. there is days for which I have no data at all. What is the easiest way to insert rows (days) in the gaps ? Also is there a way to control what is inserted in the columns as data ! Say 0 OR copy the prev day info OR to fill sliding increasing/decreasing values in the range from prev-date toward next-date data-values. thanks Here is example 01-03

问题 How can I convert a CSV file into html table? I got a csv file with comma "," and I want this file to convert to Html table. 回答1: OK, you really want it only in bash? Mission accomplished. cat > input.csv a,b,c d,e,f g,h,i echo "<table>" ; while read INPUT ; do echo "<tr><td>${INPUT//,/</td><td>}</td></tr>" ; done < input.csv ; echo "</table>" <table> <tr><td>a</td><td>b</td><td>c</td></tr> <tr><td>d</td><td>e</td><td>f</td></tr> <tr><td>g</td><td>h</td><td>i</td></tr> </table> My first try

问题 We are in the transition at work from python 2.7 to python 3.5. It's a company wide change and most of our current scripts were written in 2.7 and no additional libraries. I've taken advantage of the Anaconda distro we are using and have already change most of our scripts over using the 2to3 module or completely rewriting them. I am stuck on one piece of code though, which I did not write and the original author is not here. He also did not supply comments so I can only guess at the whole of

问题 I am running OLS regression using pandas.stats.api.ols using a groupby with the following code: from pandas.stats.api import ols df=pd.read_csv(r'F:\file.csv') result=df.groupby(['FID']).apply(lambda d: ols(y=d.loc[:, 'MEAN'], x=d.loc[:, ['Accum_Prcp', 'Accum_HDD']])) for i in result: x=pd.DataFrame({'FID':i.index, 'delete':i.values}) frame = pd.concat([x,DataFrame(x['delete'].tolist())], axis=1, join='outer') del frame['delete'] print frame but this returns the error: AttributeError: 'OLS'

问题 I'm trying to analyse a large survey created with surveymonkey which has hundreds of columns in the CSV file and the output format is difficult to use as the headers run over two lines. Has anybody found a simple way of managing the headers in the CSV file so that the analysis is manageable ? How do other people analyse results from Surveymonkey? Thanks! 回答1: You can export it in a convenient form that fits R from Surveymonkey, see download responses in 'Advanced Spreadsheet Format' 回答2: What

问题 I need to read one column from the multiple csv file present in folder and then extract minimum and maximum dates from the column. For e.g. if i have folder path "/usr/abc/xyz/" and multiple csv files are present as below aaa.csv bbb.csv ccc.csv and the files are containing data aaa.csv is containing the data name,address,dates xxx,11111,20190101 yyy,22222,20190201 zzz,33333,20190101 bbb.csv is containing the data name,address,dates fff,11111,20190301 ggg,22222,20190501 hhh,33333,20190601 so

问题 I downloaded a TESLA stock from www.nasdaq.com; and after I downloaded the CSV file I realized that I need convert the CSV by using Microsoft Excel 2016. I use the Data Tab; and click Text to Columns. The header is clear now, they are: date, close, volume, open, high, low. Please see the csv file here. LinK: https://drive.google.com/open?id=1cirQi47U4uumvA14g6vOmgsXbV-YvS4l Preview (The CSV data is from 02/02/2017 until 02/02/2018): 1. date | close | volume | open | high | low | 2. 02/02/2018

问题 I am reading from a huge csv file which contains duplicate entries. I was able to read the whole csv file into a Multimap . I am also able to obtain the keyset with duplicate values and write them to a file. I want to get the value associated with each of the keys and write it to a file but unable to do so. I cant seem to find any of the options that might help me. I tried using entries() method which according to the doc Returns a view collection of all key-value pairs contained in this

问题 I'm trying to read a csv file that contains NUL with csv reader I search a lot for a way to read the file without an error and couldn't find one. Edit: Adding the relevant section of the file: https://drive.google.com/open?id=1rtF3ck6QymtH4_n4iUjavPnxZiryq_Q4 My code: with codecs.open(log_path, 'r') as csv_file: log_reader = csv.DictReader(csv_file) for line in log_reader: if line['Addition Information'] == str # do something Will appreciate any help Thanks, Avishay 回答1: csv.reader() (and

问题 I'm trying to read a csv file that contains NUL with csv reader I search a lot for a way to read the file without an error and couldn't find one. Edit: Adding the relevant section of the file: https://drive.google.com/open?id=1rtF3ck6QymtH4_n4iUjavPnxZiryq_Q4 My code: with codecs.open(log_path, 'r') as csv_file: log_reader = csv.DictReader(csv_file) for line in log_reader: if line['Addition Information'] == str # do something Will appreciate any help Thanks, Avishay 回答1: csv.reader() (and