Find Word in a csv file and implement it using loops

I am having a dataframe named df which is having two columns, Company name Company website 0 Maersk Drilling http://www.maerskdrilling.com/ 1 CICLAGUA SA https://simetriagrupo.com/ 2 …

Checking if column headers match PYTHON

I have two dataframes: df1: ID Open High Low 1 64 66 52 df2 ID Open High Volume 1 33 45 30043 I want to write a function that checks if the column headers …

How to remove urls between texts in pandas dataframe rows?

I am trying to solve a nlp problem, here in dataframe text column have lots of rows filled with urls like http.somethingsomething.some of the urls and other texts have no space between them for …

python – Append dataframe but remove null column from each table

I have two dataframes in python: df1 Column1 Column2 Column3 Column4 Column5 1a 123 RJ 12.1 test1 2a 432 MT 23.2 test3 3a 234 DR 34.3 test5 df2 Column1 Column3 Column6 1a RJ 695 2a MT 568 3a …

Test for First Occurrence of Conditions in Python Dataframe

Background Pretty new to Python and dataframes. I’m on a Mac (Sierra) running Jupyter Notebook in Firefox (87.0). I’ve got a dataframe like this: df = pd.DataFrame({‘A’:[1,2,3,4,5,6,7,8,9,10], …

How to add a row for subtotal from each group and then a final row of grand total of entries

I have the following dataframe: Location Student Name D Amy D Raj E Mitch F Poo F Mack I am trying to generate the following dataframe: Location Student Name D Amy D Raj Total Students at D …

In Pandas dataframe, how to append a new column of True / False based on each row’s value?

I’m trying to create a dataframe of stock prices, and append a True/False column for each row based on certain conditions. ind = [0,1,2,3,4,5,6,7,8,9] close = [10,20,30,40,30,20,30,40,50] open = [11,…

Python – Parse text file with no delimiter and dynamic width values

My goal is to parse a text file in Python that has no headers therefore no columns names and no delimiters. A sample of the original file looks as follows: Apr 14, 2021 12:40:00 AM CEST INFO [purge….

pandas.read_csv() returns strings from columns instead numbers

I am trying to find linear regression plot for the data provided import pandas from pandas import DataFrame import matplotlib.pyplot data = pandas.read_csv(‘cost_revenue_clean.csv’) data.describe() …

Loading CSV into dataframe results in all records becoming “NaN”

I’m new to python (and posting on SO), and I’m trying to use some code I wrote that worked in another similar context to import data from a file into a MySQL table. To do that, I need to convert it to …