HTML Input=”file” Accept Attribute File Type (CSV)

I have a file upload object on my page: <input type=”file” ID=”fileSelect” /> with the following excel files on my desktop: file1.xlsx file1.xls file.csv I want the file upload to ONLY show .xlsx, .xls, & .csv files. Using the accept attribute, I found these content-types took care of .xlsx & .xls extensions… accept= application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (.XLSX) … Read more

Import multiple csv files into pandas and concatenate into one DataFrame

I would like to read several csv files from a directory into pandas and concatenate them into one big DataFrame. I have not been able to figure it out though. Here is what I have so far: import glob import pandas as pd # get data file names path =r’C:\DRO\DCL_rawdata_files’ filenames = glob.glob(path + “/*.csv”) … Read more

How to export JavaScript array info to csv (on client side)?

I know there are lot of questions of this nature but I need to do this using JavaScript. I am using Dojo 1.8 and have all the attribute info in array, which looks like this: [[“name1”, “city_name1”, …][“name2”, “city_name2”, …]] Any idea how I can export this to CSV on the client side? 29 s … Read more

How to import CSV file data into a PostgreSQL table

How can I write a stored procedure that imports data from a CSV file and populates the table? 23 s 23 Take a look at this short article. The solution is paraphrased here: Create your table: CREATE TABLE zip_codes (ZIP char(5), LATITUDE double precision, LONGITUDE double precision, CITY varchar, STATE char(2), COUNTY varchar, ZIP_CLASS varchar); … Read more

Is there a built in way to convert a comma-separated string to an array?

I have a comma-separated string that I want to convert into an array, so I can loop through it. For example, I have this string var str = “January,February,March,April,May,June,July,August,September,October,November,December”; Now I want to split this by the comma, and then store it in an array. Is there anything built-in to do this? Of course I … Read more