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While Using CSV Module To Read Out The Columns, In PYTHON, Showing ERROR [closed]

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I AM USING LATEST VERSION OF PYTHON.
WHILE I WAS USING THE CSV MODULE, I LOAD THE FILEairports.csv IN IT BUT IT THROWS AN ERROR
Traceback (most recent call last):
File "c:\Users\soumy\OneDrive\Desktop\aatbm\main.py", line 6, in <module>
with open(path, encoding="utf-8") as fp:
NameError: name 'path' is not defined`
BUT MY CSV FILE CONTAINS A HUGE DATA SUCH AS 74673 ROWS AND 15 COLUMNS
SO CAN YOU HELP ME OUT WITH THE CODE GIVEN BELOW:
print('Airport Management System')
import csv
filename = open('airports.csv', 'r')
file = csv.DictReader(filename)
name = []
for col in file:
name.append(col['name'])
print(name)
I WANT TO MAKE A CONSOLE BASED APPLICATION WHERE I CAN DISPLAY THE LIST OF AIRPORTS IN THE WORLD ACCRODING TO THE COUNTRY WHEN PRESSED. BUT IT IS SHOWING ERROR WHILE DISPLAYING THE AIRPORTS NAME.
THE OUTPUT MUST BE NORMAL.
I WAS TRYING FROM THE GEEKFORGREEKS BUT DIDN'T SUCCESS
MUST BE DISPLAY ON PYTHON CONSOLE NOT ON JUPYTER NOTEBOOK

Why does my word to JSON converter always return the same output? [closed]

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import aspose.words as aw
import os
import glob
import openpyxl
import json
import aspose.cells
from aspose.cells import License,Workbook,FileFormatType
workbook = Workbook("bookwithChart.xlsx")
os.chdir(os.path.join(r"C:\Users\13216\Downloads\pythontests"))
docx_files = glob.glob("*.docx")
for files in docx_files:
doc = aw.Document(files)
doc.save("document1.docx")
doc = aw.Document("document1.docx")
doc.save("html_output.html", aw.SaveFormat.HTML)
book = Workbook("html_output.html")
book.save("word-to-json.json", FileFormatType.JSON)
I need to convert a set of WORD documents to JSON. It works great. However, when I change the PATH and document name to test out other documents, the output doesn't chain. The JSON file returns the same output shown in the initial test document.
I tried changing the save command for the JSON and HTML files. It didn't work. I assume the program is storing the first output from the very first test document ("document1.docx"). I tried inputting a different document so many times. The output does not change.

There is no need to open/save DOCX document in your code. Also, you save all the documents into the same output file, so it is overridden on each iteration. You can modify your code like this:
import aspose.words as aw
import aspose.cells as ac
import os
import glob
os.chdir(os.path.join(r"C:\Temp"))
docx_files = glob.glob("*.docx")
i = 0
for files in docx_files:
doc = aw.Document(files)
doc.save("tmp.html", aw.SaveFormat.HTML)
book = ac.Workbook("tmp.html")
book.save("word-to-json_" + str(i) + ".json", ac.FileFormatType.JSON)
i += 1

How to replace images path in xlsx with original images using python [closed]

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I have an excel file where one field has an image path.
below is the sample excel file
I have images in img folder.
How to replace the image column with original images using python(pandas or HTML method or any other method)?
can we use it with file:///[file_name] to get the image in browser and I see with HTML we get the images in excel how to implement with local file.

If all the files are .png, you could include something like this (assuming img/... is a valid folder path:
import xlwings as xw
wb = xw.Book("files.xlsx")
ws = wb.sheets("sheet_name")
# loop through cells in the column, expanding downwards from cell E2
for i, cell in enumerate(ws.range("E2").options(expand="vertical").value):
# add pictures using the file path, and paste starting in column F, same row
ws.pictures.add(cell+".png", anchor=ws.range("F"+str(i+2)))
This appends ".png" to the end of the file path.
You can change the size too, see the documentation.

Efficient way of converting CSV file to XML file? [closed]

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I have written below code to convert a CSV file to an XML file. Input file has 10 millions records. Problem is it runs for hours with 10 millions records. With less number of records like 2000 it takes 5-10 seconds.
Is there a way to do it efficiently in less time?
import csv
import sys
import os
from xml.dom.minidom import Document
filename = sys.argv[1]
filename = os.path.splitext(filename)[0]+'.xml'
pathname = "/tmp/"
output_file = pathname + filename
f = sys.stdin
reader = csv.reader(f)
fields = next(reader)
fields = [x.lower() for x in fields]
fieldsR = fields
doc = Document()
dataRoot = doc.createElement("rowset")
dataRoot.setAttribute('xmlns:xsi', "http://www.w3.org/2001/XMLSchema-instance")
dataRoot.setAttribute('xsi:schemaLocation', "./schema.xsd")
doc.appendChild(dataRoot)
for line in reader:
dataElt = doc.createElement("row")
for i in range(len(fieldsR)):
dataElt.setAttribute(fieldsR[i], line[i])
dataRoot.appendChild(dataElt)
xmlFile = open(output_file,'w')
xmlFile.write(doc.toprettyxml(indent = '\t'))
xmlFile.close()
sys.stdout.write(output_file)

I don't know Python or Minidom, but you seem to be executing the line
dataRoot.appendChild(dataElt)
once for every field in every row, rather than once for every row.
Your performance numbers suggest that something is very wrong here, I don't know if this is it. With 2000 records I would expect to measure the time in milliseconds.
Have to say I'm constantly amazed how people write complex procedural code for this kind of thing when it could be done in half a dozen lines of XSLT or XQuery.

XML retrieving from a URL to CSV [closed]

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Simply, I need to retrieve current currencies and rates from central bank of europe which is in XML format and convert it to CSV file using python. It creates me a file but it does not write the correct things I need.
XML follows here:
https://www.ecb.europa.eu/stats/eurofxref/eurofxref-daily.xml?
This is my code but it does not work please help guys.
import xml.etree.ElementTree as ET
import requests
import csv
kurzbanky_xml = requests.get("https://www.ecb.europa.eu/stats/eurofxref/eurofxref-daily.xml")
root = ET.fromstring(kurzbanky_xml.text)
with open('banka.csv','w',newline='') as Currency_Rate:
csvwriter = csv.writer(Currency_Rate)
csvwriter.writerow(['currency','rate'])
for member in root.iterfind('Cube'):
cur = cube.attrib['currency']
rat = cube.attrib['rate']
csvwriter.writerow([cur,rat])

You can use xmltodict lib to convert XML to JSON and then iterate over JSON:
import csv
import requests
import xmltodict
r = requests.get("https://www.ecb.europa.eu/stats/eurofxref/eurofxref-daily.xml").text
data = xmltodict.parse(r)['gesmes:Envelope']['Cube']['Cube']
with open('{}.csv'.format(data['#time']), 'w', newline='') as f:
csvwriter = csv.writer(f)
csvwriter.writerow(['currency', 'rate'])
for cur in data['Cube']:
csvwriter.writerow([cur['#currency'], cur['#rate']])
Output 2019-03-27.csv file:
currency,rate
USD,1.1261
JPY,124.42
BGN,1.9558
CZK,25.797
DKK,7.4664
GBP,0.85118
etc.