You can start from this code, first read the file, second split the file since data is on different row, then store the result on array: using (StreamReader sr = new StreamReader(@”C:\Folder\Book1.csv”)) { string strResult = sr.ReadToEnd(); string[] result = strResult.Split(new string[] { Environment.NewLine }, StringSplitOptions.None); } 1 solved C# How do I convert a … Read more
I suggest you to read the javadoc of String.split. I think that you misunderstood the concept when you did this: String[] f=line.split(“,”); a[count]=Integer.parseInt(f[2]); //–> java.lang.NumberFormatException here! Avoid using ‘magic’ numbers in your code like int[] a = new int[24];. Why 24? Well, here comes a version that do what you want to do. Maybe it … Read more
I would maybe do it more simple. If you didn’t know how many columns you could do the extra loops to get column names, but it does not look necessary. $output = “datetime, value1, value2\n”; // Column names while ($row = mysql_fetch_array($sql)) { $output .='”‘ . $row[0] . ‘” ,’; $output .='”‘ . $row[1] . … Read more
Sub dataImport() Dim wbImport As Workbook Dim wksImport As Worksheet Dim rngFind As Range ‘/ Open the CSV Set wbImport = Workbooks.Open(“https://www.cboe.org/publish/restrictionsall/cboerestrictedseries.csv”) Set wksImport = wbImport.Worksheets(1) ‘/ Remove date stamp wksImport.Rows(1).EntireRow.Delete ‘/ Search for OPT_CLASS header Set rngFind = wksImport.UsedRange.Cells.Find(“OPT_CLASS”) If Not rngFind Is Nothing Then ‘/ Found it ‘/ Copy and paste to column … Read more
After going through the Pandas documentation, found the way to validate the data. Let’s just say you have a custom validation function. def validate_rating(rating): “””” Description: validate if hotel rating is a digit between 0 to 5 Args: rating (str): rating to be validated Returns: True if rating is valid False if rating is not … Read more
This part is pretty easy because you’re able to run LINQ queries on IEnumerable<T> – in other words, anything that you can do a foreach loop on is something that you can query. And there are a great many ways to do that. First, however, I’m assuming that you already know the schema for the … Read more
Check Ruby Document here. Generally speaking, #parse is used to parse a string while #foreach is for a file. solved CSV difference between foreach and parse methods [closed]
You can try following code: import pandas as pd df1 = pd.read_csv(“Insert file path”) df2 = pd.read_csv(“Insert file path”) df1[‘Date’] = pd.to_datetime(df1[‘Date’] ,errors=”coerce”,format=”%Y-%m-%d”) df2[‘Date’] = pd.to_datetime(df2[‘Date’] ,errors=”coerce”,format=”%Y-%m-%d”) df = df1.merge(df2,how=’inner’, on =’Date’) df.to_csv(‘data.csv’,index=False) This should solve your problem. 4 solved how to save sql query result to csv in pandas
Here is my explanation for this script following creates a sample database table containing an object (name) and its dependends on an other field (DependsOnCSV) seperated by comma CREATE TABLE tbl (Name VARCHAR(100),DependsOnCSV VARCHAR(100)) Following code populates above table with sample data. This is a new syntax for many developers. If you are working with … Read more
If your file pca_mk_addresslist.csv is empty, your foreach loop will never be entered (foreach object in an empty collection yields zero iterations). Thus, since you return only in the loop, the case of an empty file never returns anything. That’s not allowed. if pca_mk_addresslist.csv has any lines return something else ? You need to tell … Read more