Pandas - Text Data 1 | One to Multiple Column Split | Multiple to One Column Merge Pandas DataFrame

When you are working with text data, you usually come across to a situation where you have to change the cases of text values, split or merge columns in pandas dataframe encode the text values etc. this series of videos specially dedicated to bring solution to you for all of these issue.

In this video we have covered:

00:00 - Introduction
01:30 - How to change the values to capital letters of a column in a Pandas DataFrame
02:26 - How to change the values to small letters of a column in a Pandas DataFrame
04:07 - How to find the length of values in a column in Pandas DataFrame
04:43 - How to remove the leading and trailing blanks from a column in a Pandas DataFrame
12:14 - How to combine multiple columns into one new column in pandas dataframe | How to concatenate multiple columns into one new column in pandas dataframe

Please refer the details below to find the data used in this vide:

#Learnerea #Python #Pandas #Python #Pythontutorial #Pythononlinetraining #Pythonforbeginners #PythonProgramming #PythonMatplotlib

[trisnaadisti]

Hi. Thank you for your explanation. This help me a lot.

[srinubabu]

Very Nice Explanation Waiting for
more videos

[ajaykushwaha-jemw]

Kindly create video on series manipulation because in ML various time we have to deal with series but we dont understand whether we are doing wrong or right and we just get trap in lot of errors.

[janakiyeluripati]

Hi, how to split this?
Ex: ['blah blah blah/nblahblah blah 25478/ndhbddd/nApollo Hospital/nblah blah blah]
here i want to get the apollo hospital information into another column. my req information comes between 3rd and 4th occurences of the delimiter. How to go about it. Please help

[veerendrasathwik]

lang source score author product
1110693 es Ciao 8 k4in [ Sony, Ericsson, T715]
436756 en LG 10 rude28 [LG, G2, AT&T]
467052 en Amazon 10 alpharomeo [BLU, Studio, X]

I got list in my dataframe. how to change "product" back into normal??