Correct frame in csv smoothly

Aug 6th, 2022
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How to Correct frame in csv

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if youre working with data in python eventually youll get to a point where you want to save off that data somewhere as a file so my question to you is what file type do you use if you were to ask me about five years ago i would have definitely said csv while csvs may be the most common way to save data there are a lot more efficient and smart ways to save off your data my name is rob i make videos about coding in python data science and machine learning in todays video were going to talk about some of the different file formats you can save off data some of the benefits of each and do some benchmark testing of speed and file storage size if you like this video please consider subscribing giving the video a like and following me on twitch where i stream live coding all right lets jump into it okay so here we are in a jupiter notebook were going to just write some code to get our data together so were going to start by importing pandas importing numpy and then were gonna create

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CSV files are the comma-separated values, these values are separated by commas, this file can be viewed like an excel file. In Python, Pandas is the most important library coming to data science.
CSV , or Comma-separated Values, is an extremely common flat-file format that uses commas as a delimiter between values. Anyone familiar with spreadsheet programs has very likely encountered CSV files before - theyre easily consumed by Google Spreadsheet, Microsoft Excel, and countless other applications.
Pandas readcsv() function imports a CSV file to DataFrame format.
If you have opened a csv file and found weird characters in it, chances are you are using Excel. All of WebCollects exports are in the UTF8 character set, which covers all international characters correctly. Some versions of Excel have trouble opening csv files that use UTF8 format.
csv data file into pandas! There is a function for it, called readcsv() . Go back to your Jupyter Home tab and create a new text file
Using the readcsv() function from the pandas package, you can import tabular data from CSV files into pandas dataframe by specifying a parameter value for the file name (e.g. pd. readcsv(filename. csv) ). Remember that you gave pandas an alias ( pd ), so you will use pd to call pandas functions.

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