This questions was a little harder for me to phrase so I request to help edit the question which would make more sense (if necessary). Problem Statement: I want all the rows which have a specific column value in common, saved to same file. Example Code I want to do something like this. Say, I have a dataframe: I want
Tag: csv
How can I get unique values from csv?
I have a small question. How can I print all the texts belonging to that author by selecting the author from the csv that I read with the pandas below, can you help with the python code? (ex. I want to display all texts where eap is author.) Thank you! Answer Hey try out using loc() to get back the
Cumulatively merge rows with the same index
In python pandas, I have a dataframe which looks something like this: Some of the dates are repeated, with a different count value. I would like to merge these values into one row like this: If it’s any help the data source is a CSV file. There is likely a way to do this in a for loop but I
Is it possible to read a csv file that is located in the python project?
I have a python project with a handful of python scripts, a domain and repository folder with additional python scripts in each etc…. I’d like to create a config folder within this python project that will contain a csv file for configurations that my python project will use. I then would like to read this csv file into a dataframe
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 a dataframe. In this particular instance I’m using Federal Election Comission data that is pipe-delimited (It’s the “Committee
How do I create and write headers to a csv file if it doesn’t exist, but if it already exists then write data?
my first post here in stackoverflow and trying to dip my feet into python by writing a program that calls data from an API of an online game I play :) I’ve written the below code to create a .csv file if it doesn’t exist, and then use a for loop to call an API twice (each with different match
Writting selective data values as float in csv/txt file using Pandas in Python
Using the internet information/information using this platform, I manage to write a small Python code which reads 200 csv and then able to distinguish the different values corresponding to the index of the column. Now I am interested in writting a csv/txt file in which 2 columns should there one of variable “time” and another variable “alpha.water” . Using the
Check column for variable and get value from another column in matched row
How can I get the values of one column in a csv-file by matching attributes in another column? CSV-file would look like that: I only want to get the values of column 3, if they have the value “car” in column 2. I also do not want them to be added but rather have them printed in a list, or
Wrong column data in figure in Python
I am trying to plot multiple graphs in one figure using subplots. It looks the way I want but the data on x-axis is wrong. Instead of taking the values of ‘Time’ it is taking the number of indices of the csv file imported using pandas. The time is from 0 to 7 milliseconds only. csv is imported as 200000
Import text file into csv file
I am new in Python and looking to change text data in csv data, where column contains id, sequence, createdAt, and createdBy? Text File [{“id”:1,”sequence”:14,”createdAt”:”2021-03-04xx:x:x”,”createdBy”:”xxxxxxxxxxxx”}}, {“id”:2,”sequence”:14,”createdAt”:”2021-03-04Txx:x:x”,”createdBy”:”xxxxxxxxxxxx”}}, {“id”:3,”sequence”:14,”createdAt”:”2021-03-04Txx:x:x”,”createdBy”:”xxxxxxxxxxxx”}}] Result My results looks like image Answer Input Data Set appears to be JSON structure I’d recommend csvkit https://csvkit.readthedocs.io/en/latest/index.html Specifically , module in2csv – very powerful Alternatively – use pandas read_json – this