I am amateur at python but I have a task of converting folder of csv to json files. I have this script working with specified CSV file but I have no idea how to make the script iterate thrue folder of csv and convert all of those csv to json. The original script: someone will give me a hint? Answer
Tag: csv
How to find the row having the minimum values in a given pandas dataframe?
I have created a dataframe using the following code. Then I found the minimum values of each row by using It gave me the minimum value of each column, but I also want to find out that at which index the min value is available for each column. Please give a sutiable solution for finding the index of the min
How to store CSV file in database?
There is a output file from Python Pandas with a lot of columns with headers. I need to be able handle this file by script and get CSV files in different columns positions. For example, initial file has columns As variation I need to get it in different sequence: I wonder what is the best way to store this file
How to insert data into a specific cell in csv with python?
I am trying to insert data into a specific cell in csv. My code is as follows. The existing file. Output The data in cell A1(“Custmor”) is replaced with new data(“Name”). My code is as follows. And it doesn’t work. Please help me finding the bug. Answer Customer is column header, you need do
How to convert multiple excel files to CSV utf-8 encoding using python
I have 30+ xlsx files in same directory and using python I would like to convert all files to csv with utf-8 encoding, regardless of whatever encoding is present in the file. I am using python’s magic library to get the file names (below code).For conversion, I tried the code mention by SO user Julian here (I used the code
search for common value(patient ID) from column 1 and if all there values in other column (pathologies) is null delete the rows of these common ID’s
PATIENT_ID PATHOLOGIES 12 null 12 null 3 patho1 3 null 5 patho2 2 patho1 12 null If you can see, patient ID 12 is always null but others can be null or has pathologies if the same ID is always null, I want to delete it with the related rows in all columns note: I have 2 million ID, so
pd.read_csv() keep number of decimals
I want to read a csv but it culls the number of decimals: gives (first 2 rows, first five columns): enter image description here the original data (here) has 8 decimal places in the 3rd and 4th columns. I need those. 2211 196568.000 -25.732036008 28.282629130 1387.8994 2211 196569.000 -25.732032386 28.282633712 1389.4025 How do I read a csv and retain the
How to put date(parsed from csv) in Python to mysql?
I’ve made separate simple example just to check what method would work with date in my case and didn’t find any solution. we have: db table: code CSV file example_v2.csv: Trace Could you please assist in even find the documentation fit my case or indicate the direction. I’ve already tried a lot of methods such as: etc. Answer thanks to
Is there a way to get the count of every element in lists stored as rows in a data frame?
Hi, I’m using pandas to display and analyze a csv file, some columns were ‘object dtype’ and were displayed as lists, I used ‘literal_eval’ to convert the rows of a column named ‘sdgs’ to lists, my problem is how to use ‘groupby’ or any another way to display the count of every element stored at this lists uniquely, especially since
I’m looking to connect a Google VM to a website
I need reflection, vision and documentation on my problem. I wrote a python script to calculate something from an API and export the result in a CSV file. Then, I use a JavaScript script to display the data from this CSV file on a building website. I need to have the latest data available for my website, so I opened