how to swap rows in csv file with python?

python transpose columns to rows
how to convert rows into columns in python
python csv
pandas transpose columns to rows
python read csv line by line
python write csv example
how to move row to column in pandas dataframe
how to create a csv file in python

I have 11k csv files where I have only two rows they look like this

---------------------------
             | A0.31       |
---------------------------
some data    |             |
---------------------------

and I want them in one only row

---------------------------
some data    | A0.31       |
---------------------------

I have this code but it just replaces the values not putting them in one row

import csv, os

with open('path/to/filename') as inf, open('path/to/filename_temp', 'w') as outf:
    reader = csv.reader(inf)
    writer = csv.writer(outf)
    for line in reader:
        if line[1] == '0':
           ...
        ... # as above

os.remove('path/to/filename')
os.rename('path/to/filename_temp', 'path/to/filename')

This should do the trick.

#!python
value=""
data=""
with open("test.csv","r") as inF, open("out.csv","w") as outF:
    lines= inF.readlines()
    for line in lines:
        if "-" in line:
            continue
        if line.isspace():
            continue
        fields=line.split("|")
        if not fields[1].isspace():
            value=fields[1]
        elif not fields[0].isspace():
            data=fields[0]
        else:
            continue
    outF.write("-------------------------------------\n")
    outF.write(data +"|" + value+ "|" +"\n")
    outF.write("-------------------------------------\n")

pandas: Transpose DataFrame (swap rows and columns), Note that depending on the data type dtype of each column, a view . pandas as pd df = pd.read_csv('data/src/sample_pandas_normal.csv').head(3) print(df) Related: Transpose 2D list in Python (swap rows and columns). If you want to transpose rows to columns in python of CSV or text file you can do it with method zip and two for loops. Let say that we have this file:


You indicate your files are CSV, so I'm going to assume your files are actually in CSV format, i.e. as follows:

,'A0.31'
'some data',

If your files are really that short, I would simply load both rows in the file, and immediately after that write the combined result to the same file:

import csv

data = []
with open('path/to/filename') as inf:
    reader = csv.reader(inf)
    for row in reader:
        data.append(row)

with open('path/to/filename', 'w') as outf:
    writer = csv.writer(outf)
    writer.writerow([data[1][0], data[0][1]])


CSV file column swapping, Hello, I am trying to swap the values in columns 1 and 2 respectively from an input file (.csv) and have them displayed swapped in the output file (the other columns are still Oh, try replacing writerow with writerows on line 10. pandas: Transpose DataFrame (swap rows and columns) Use the T attribute or the transpose () method to swap (= transpose) the rows and columns of pandas.DataFrame. Neither method changes the original object, but returns a new object with the rows and columns swapped (= transposed object). Note that depending on the data type dtype of each column, a view is created instead of a copy, and changing the value of one of the original and transposed objects will change the other.


This is my csv Input

,,A01.0 Брюшной тиф
0,"Тиф брюшной, Паратиф, Тиф, Паратифозная лихорадка",

output that I get after your code.

0,

this what I want to have and I have 11000 csv files like this one

"Тиф брюшной, Паратиф, Тиф, Паратифозная лихорадка",A01.0 Брюшной тиф

how to change and exchange columns or row order in csv-file, Awk can do this, so can R. I'm sure python can do this as well, but it's not what i'm familiar with. If you give us some example data, and let us� Is there any way to create column header in csv file instead of row headers using python. 0. Writing in a csv column by column and not by row. Related.


13.1. csv — CSV File Reading and Writing — Python 2.7.18 , The csv module implements classes to read and write tabular data in CSV format. It allows Each row read from the csv file is returned as a list of strings. No automatic data This behavior may change in the future. Dialect. I have an input csv file with data: a 15 b 14 c 20 d 45 I want to generate a different csv file which will contain complete data rows from input file but rows should be shuffled. like output file may contain values-b 14 a 15 c 20 d 45 I have tried this code:


csv — CSV File Reading and Writing — Python 3.8.5 documentation, Return a reader object which will iterate over lines in the given csvfile. csvfile can be any object which supports the iterator protocol and Each row read from the csv file is returned as a list of strings. This behavior may change in the future. CSV files are very easy to work with programmatically. Any language that supports text file input and string manipulation (like Python) can work with CSV files directly. Parsing CSV Files With Python’s Built-in CSV Library. The csv library provides functionality to both read from and write to CSV files. Designed to work out of the box with


14.1. csv — CSV File Reading and Writing — Python 3.4.10 , Return a reader object which will iterate over lines in the given csvfile. csvfile can be any object which supports the iterator protocol and Each row read from the csv file is returned as a list of strings. This behavior may change in the future. Example 2: import CSV file with header in a specific row Suppose the column or variable names in a csv file is stored in the second row. To read this kind of CSV file, you need to specify the