I need help with deleting “None” along with extra comma in language columns that have one or more language Here is the existing csv: Where f now looks like: And the result should be like this: There are also other columns that have only ‘None’ values in language column, so I can’t just use the replace function in excel, and
Tag: csv
python pandas csv file conversion of integers to binary
I have a csv file like that I want like that means every integer should be converted to binary and word meme should be deleted Answer You can also try this:
How to merge CSV files such that rows with a unique identifier are added into the same row of the output?
I’m using Python to merge 4 headerless CSV’s into one output file. Each CSV has a unique number in the first column as shown in the 2 example CSV files below: 1.csv 2.csv I have generated the output from these CSV’s using the following code. This works fine and outputs a file. The data ends up as follows Is there
Shuffle rows of a large csv
I want to shuffle this dataset to have a random set. It has 1.6 million rows but the first are 0 and the last 4, so I need pick samples randomly to have more than one class. The actual code prints only class 0 (meaning in just 1 class). I took advice from this platform but doesn’t work. Answer Because
Comparing data between two CSV files to move data to a third CSV file
I have this csv file, file1.csv: Then file2.csv: For every line in file2.csv that has ‘CORP’, ‘STORE’, or ‘NEWS’, I already searched through file1.csv and created a file, such as STOREall.csv, CORPall.csv, and NEWSall.csv. I want OUs, such as ICECREAM, SECURITY, and DELI to be in the CORPall.csv file too. So NEWSall.csv has: In CORPall.csv In STOREall.csv I am using
Write a dictionary which has a list as values into a csv while preserving the list order, my code does this but not separating the values in the rows
I have a dictionary which contains two values as the values of the key (a series of averages in the 50% and 100% order), I want to write them to a csv which will have 3 columns – the key, the 50% average, and the 80% average. Code which writes the dict but there is no separator Desired output csv
txt to csv with python pandas
I have a txt file that I would like to read and export in csv format, but i have one problem. Data in txt file looks like this | and I would like to show each columns separately in csv file. Now as you see columns are separated by | . As an example – Sales Organization should be a
how to load 1000 lines of a csv into elasticsearch as 1000 different documents using elasticsearch API
so ive been trying to load 1000 lines of a csv into elasticsearhc as 1000 different documents, the csv has 8 headers: telease year, title, origin/ethnicity, director, cast, wiki page, plot. my current code for loading the dataset loads it using the bulk command from helpers this i think loads 1000 lines into one document. Answer You are on the
Python code to read a csv file and create a master csv file
I have a folder let’s say as ‘input_Folder’ which has a list of CSV files with data. I’m trying to write a Python code which reads this list of CSV files from the input_folder and creates a master CSV file with two columns. The columns in the master CSV files are ‘Scenario’ and ‘Status’. Column Name requirement are as follows,
converting a key value text file into a CSV file
I have a text file that needs to be converted into CSV file using pandas. A piece of it is presented in the following: Rows are cod,10, and cod,18 and the columns are 1, 2, 3,…, 15. Any idea? Regards, Ali Answer I use pandas to deal with the conversion, but vanilla Python to deal with some of aspects of