So im am relativley new to python (using Python 3 with the spyder IDE) and i try to read in a csv file with some weather data.enter image description here The problem is that the file i have contains some empty cells and information i dont need. I only need from the row 18 as a header (all the physical
Tag: csv
how to import data from a excel list into a loop for a api python
I am connecting an API and everything is going fine, now I have one problem, I have a data excel list like this: Name Secondname Age alex test 2020-02-03 pieter guy 2020-04-04 in my script i have a variable called: name. Now i want to make a script that takes everyloop 1 line of data. so loop 1: ALEX TEST
How to remove extra quotes in between quotes for following example “Dec 01, 1999″,”Pocket Aquarium “Pocker” Pocket”,”Random : USA”,”USA” using python
I want to remove extra quotes in each line of csv file. ex: ideal output required: Answer you could try this: input: code: test_modified.csv
Can Pandas output inferred schema for a CSV file?
Is there a method I can use to output the inferred schema on a large CSV using pandas? In addition, any way to have it tell me with that type if it is nullable/blank based off the CSV? File is about 500k rows with 250 columns. With my new job, I’m constantly being handed CSV files with zero format documentation.
List to csv without commas in Python
I have a following problem. I would like to save a list into a csv (in the first column). See example here: My output in excel looks like this: Desired output is: You can see that I have two issues: Firstly, each character is followed by comma. Secondly, I don`t know how to use some encoding, for example UTF-8 or
TypeError: ‘<' not supported between instances of 'numpy.ndarray' and 'int' with a csv file
I am trying to find specific elements (those with a value less than 5) in a particular data column from an imported csv file. However I keep encountering this strange error. The code reads as follows: Answer Apparently you are doing: I’m a little surprised that it isn’t complaining about instances of string (or string dtype) and int. With loadtxt
CSV data to Python dictionary
I wrote my data which was in lists and dicts to a csv file, and when i import the csv file using pd.read_csv(‘file.csv’), everything becomes strings. How can i keep or convert it to its original format? Originally, everything was in a dataframe and then written to a CSV file using df.to_csv(r’./file.csv’). all the rows are strings. Answer This will
Export results to excel file title and link requests python [closed]
Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 2 years ago. Improve this question I am training on how to scrape some data in python and here’s my try: The code gets the links
An addition of non-existing **trailing** zeros at importing csv file by pandas
Importing a .csv file given by leads to an addition of a trailing zero in the first line. How to avoid it? Answer This is just the visual representation of the float data in your df. If you want it different, change the format string for it. For your numbers ‘{:,g}’ would work (see format specification mini language – scroll
How to complete a CSV file with data from a Python dictionary in progress
I would like to know how to save data from my python dictionary (being created) to a CSV file at the same time (i.e. as soon as a python dictionary line is created it should be sent directly to the CSV file) I’m using the following code : I would like to obtain a fisrt column for text, topic and