[Solved] C# How do I convert a CSV into an array?

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

[Solved] How to count the number of characters in a line in a csv file

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

[Solved] Make calculations in csv with php

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

[Solved] Extract One Column in a Table from a CSV Hyperlink to Excel Using VBA [closed]

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

[Solved] how to save sql query result to csv in pandas

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

[Solved] Convert csv values into table rows using xml. Can anyone please explain how below mentioned queries will work

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

[Solved] Reformat csv file using python?

Think of it in terms of two separate tasks: Collect some data items from a ‘dirty’ source (this CSV file) Store that data somewhere so that it’s easy to access and manipulate programmatically (according to what you want to do with it) Processing dirty CSV One way to do this is to have a function … Read more

[Solved] Android App Crashing – List View – CSV file

Ok your program fails at this point: while ((line = reader.readLine()) != null) { String[] RowData = line.split(“,”); DataStates cur = new DataStates(); cur.setTitle(RowData[2]); cur.setPrice(RowData[3]); // now there is a ArrayIndexOutOfBoundsException cur.setDescription(RowData[4]); this.add(cur); } Index begins at 0 so I think the right code would be while ((line = reader.readLine()) != null) { String[] RowData … Read more

[Solved] How to parse and arrange lines of a csv file based on matching word in C?

I could write the code to get the required output. Below is the code: #include<stdio.h> #include<stdlib.h> #include<ctype.h> #include<fcntl.h> #include<string.h> int main(int argc, char ** argv) { struct filedata { char nation[8]; char content[50]; }; char line[100]; char *inputFile = argv[1]; FILE *input_csv_file; int iter = 0, c; char * tok; int count = 0; char … Read more