I have a dataframe which contains a column like below, I have to apply condition after decimal point, Those conditions are, ( (<50)it will replace .0), and (>50) it will replace .5)). How can i do it properly??? Thanks in advance,…. Answer Just implement your own rounding criteria in a function, a…
Tag: dataframe
How to filter multiple rows based on rows and columns condition in pyspark
I want to filter multiple rows based on “value” column. Ex, i want filter velocity from channel_name column where value>=1 & value <=5 and i want filter Temp from channel_name column where value>=0 & value <=2. Below id my Pysaprk DF. start_timestamp channel_name value 2020-11-…
InvalidArgumentException: invalid argument error using Selenium and Pandas scraping urls reading from a CSV
I was trying to scrape a website, where possible urls are in csv. So after reading it through for loop to call my method, where I would open the url and gonna scrape the contents of the site. But due to some reason I am unable to loop and open the urls Here is my code: Error on console I
Pandas: Sort dataframe correctly with German umlauts, upper/lowercase and numbers
I have this dataframe (all strings): I want to sort it so that German umlauts are correct, also lowercase and numbers are correct: Here is my code to generate the dataframe and result: The result is almost correct, but the numbers are sorted in the wrong order, 20 should be before 200: How can I fix the numbe…
How can I translate If-Else code to Python?
I have a huge If-Else code that I write in Tableau The compiler simply takes a lot of time to execute this code so I want to move it onto Python. My df: I have a VLOOKUP table that Interprets these values to provide an output My If-Else code simply put is: Where df_output is the resulting dataframe e.g. for
How to prevent data from being recycled when using pd.merge_asof in Python
I am looking to join two data frames using the pd.merge_asof function. This function allows me to match data on a unique id and/or a nearest key. In this example, I am matching on the id as well as the nearest date that is less than or equal to the date in df1. Is there a way to prevent the
Add row values as new columns in a dataframe
I have a dataframe like follows: I want to convert it to something like: or The values in B which are repeated are column names whose values are in C column. I want to add all or some of them as the columns of the dataframe In fact the dataset is created by flattening a tree, there are more columns
Extract row from a data frame and make it a new data frame
I have a data frame like this Now, I need first row of data frame and make it another data frame like Answer Use DataFrame.iloc like: For Series:
Panda dataframe of distribution of particles: group by ID and find the half flux and the half flux radius
I am using Panda dataframe; I have a distribution of particles, their distance from the center of the distribution, and the associated fluxes. I want to find the total flux enclosed in the “half flux radius” (or “half light radius”), which is the radius that encloses half of the flux, …
Flatting a JSON file into Pandas Dataframe in Python
I have the json in this format: I want it to be in a dataframe format where each of the three field names are separate rows. Where one row has a column(e.g “format”) where others are blank should be assumed to be NULL. I have tried to use the flatten_json function which I found on here, but doesn&…