How to create my own csv in Machine learning

Question

I was taught csv in machine learning but we weren't told how to make our personal csv. I want to make my own so does anyone have any ideas

Answer 1

Csv just means comma separated value. You can open up a .txt file and type in your data. Columns are separated by commas and rows are separated by new lines. Then save as .csv

Answer 2

Destiny yess!! It's another library!
Dani is just giving you ideas!
You will learn about it when you will continue your data science course!

And I advise you:
Don't get started with ml course without completing half of the data science course

Answer 3

Namit Jain
Wow thanks for that I just ignored my data science course 😓😓

Answer 4

Any txt file (notepad) will work!

Ok, if the data is not comma separated i.e. it is separated by something else let it be ";"
So no need of doing something very long
Just take it as:
a = pd.read_csv("filename.txt", sep=";")
And this will solve your problem!
I am telling you this because many times datasets of internet are of another form!

Answer 5

import pandas as pd
iris = pd.csv('iris.csv')
print (iris.head ())
This code is part of python when it comes to data manipulation
so u can also plot iris with matplotlib.
Hope it helps😊

Answer 6

Dani
Thanks a ton bro
😀😀😊😊😄😄😄

Answer 7

Dani
Thanks guys for all your answers
😎😎😎😘😘😀😀😀

Answer 8

Csv is comma separated value. You can create csv file using excel. Open excel type your data and while saving it choose .csv extension.

Answer 9

Dani
Isn't matplotlib another library?
😐😐

Answer 10

Akash Subhash Mali Yess!!!
Excel is a very good option!

Answer 11

Dani
Pls explain further

Answer 12

JME
Pls can u make a code like that and post it?

Answer 13

Yes u can use it to plot almost anything in the pandas library😊

Answer 14

It is is true have a valid understanding of data science

Answer 15

Akash Subhash Mali
That sounds like a good plan

Answer 16

Logomonic Learning
Thanks for the advice
😊😊

Answer 17

Create a dictionary with column names as keys and list of values as value.

Example

import pandas as pd

dict1 = {'company':['A','B','C','A','C','D'], 'mngr':['x', 'y', 'z', 'x', 'p', 'q'], 'amt':[100,200,100,150,300,225]}
df = pd.DataFrame(dict1)

Answer 18

Destiny use iris

Answer 19

An easier way to create csv is wit a spreadsheet like excel or open office(free), you can even use google docs. Just remember to save with file extension .csv