I have a Spark dataframe column having array values: I want to replace [0,1,2,3,4] with [negative,positive,name,sequel,odd] Answer
Tag: replace
Pyspark find existing set of rows in a dataframe and replace it with values from another dataframe
I have a Pyspark dataframe_Old (dfo) as below: Id neighbor_sid neighbor division a1 1100 Naalehu Hawaii a2 1101 key-west-fl Miami a3 1102 lubbock Texas a10 1202 bay-terraces California I have a Pyspark dataframe_new (dfn) as below: Id neighbor_sid neighbor division a1 1100 Naalehu Hawaii a2 1111 key-largo-fl Miami a3 1103 grapevine Texas a4 1115 meriden-ct Connecticut a12 2002 east-louisville Kentucky
Replace special characters in pandas dataframe from a string of special characters
I have created a pandas dataframe called df using this code: import numpy as np import pandas as pd The dataframe looks like this: The columns contain some special characters (/ and @) that I need to replace with a blank space. Now, I have a list of special characters: listOfSpecialChars = ‘¬`!”£$£#/,.+*><@|”‘ How can I replace any of the
How to replace special characters(double quotes to single quotes) from a list using python so that my list become a 2D list?
from this code I got a lists will be like this. now I want to replace double quotes with the single quotes. so that this lists will become a 2D list. I tried with the given below code. but that will not help. So how can I get lists as a 2D list? Answer
Replace decimals in floating point numbers
Someone on this platform has already helped me with generating the following code: This code ensures that the last decimal is not a 0 or a 9. However, I would like to have no 0’s nor 9’s in all the decimals that are generated (such that it will not be possible to have a number 1.963749 or 3.459007). It would
How does pandas.DataFrame.replace works?
I need to remove ‘$’ symbol in ‘price’ column. I used pd.DataFrame.replace to do that. replace result. Why did nothing happen? If I use str.replace it works: str.replace Answer Try this :
Replacing day in date with last day of month
I’ve got a dataframe with column ‘date’, containing yyyy-mm-dd 00:00:00. Python automatically assigned first day of every quarterly month, but I want last day of same month. I’ve tried: and without any success. sample of df: date value 1990-07-01 00:00:00 46.7 1990-10-01 00:00:00 54.2 1991-01-01 00:00:00 38.6 1991-04-01 00:00:00 20 1991-07-01 00:00:00 18.6 I want: date value 1990-07-31 00:00:00 46.7
Python .replace() function doesn’t seem to do anything
I’m trying to modify a table I scraped of Yahoo Finance containing dividends over the last 5 years. An example row of this table is: “1.50 Dividend”. As I want to do calculations with this table I needed only the number in the form of a float. So I used the .replace(“Dividend, “”) function to remove the text part so
Python beautifulsoup – get all text separated by break tag
I have the following tables: I can traverse towards this part of the HTML using the following code below: I am able to get the text using the one below: The output I want to arrive to is a result of all text then separated by a semicolon (;) like so: ANGARA, EDGARDO J.;ENRILE, JUAN PONCE;MAGSAYSAY JR., RAMON B.;ROXAS, MAR;GORDON,
pythonic way to replace two character in a string
I have a string ,for example s = “-1+2-3” I want to replace all – to + and all + to -. what I expected is s = +1-2+3 .So I can’t just use s.replace(‘-‘,’+’).replace(‘+’,’-‘),because it return s=-1-2-3,maybe a for loop can help. But I wonder if there is a pythonic way to do so? thanks for all solutions i