Session 16 - Pandas Series| Data Science Mentorship Program (DSMP) 2022-23 | Free Session

Data Science Mentorship Program (DSMP) 2022-23

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Time Stamp
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0:00 Session Start
2:48 Week Schedule
8:15 Pandas
9:08 What is Pandas.
14:02 Series from lists
21:23 Series from dict
24:15 Series Attributes(size/dtype/name/is_unique/index/values)
30:53 Series using read_csv
Series methods
52:10 value_counts()
55:15 sort_values()
1:01:30 sort_index()
Series Maths Methods
1:05:47 count()
1:08:35 mean/median/mode
1:11:07 min/max
1:12:14 Describe
1:17:07 Series Indexing
1:29:14 Editing Series

1:37:17 Series with Python Functionalities
1:49:20 Boolean Indexing on Series
1:55:44 Plotting Graphs on Series
2:00:25 Doubts

[learnprogrammingwithproject]

It's really hard to believe that these are the free content.
Thanks ❤️

[FauziStudent]

In Pandas, negative indexing behaves differently depending on the type of index used in a Series.

Custom Index with Strings: When you use a custom index with strings, negative indexing works as expected. For example, if you have a Series with a string index, series[-1] will return the last element.
Custom Index with Integers: When the index is composed of integers, negative indexing does not work the same way. Instead of returning the last element, it will look for the label -1 in the index, which usually results in a KeyError if -1 is not explicitly an index label.(source : copilot)

[qamaruddinkhichi]

maza aa gaya sir g.
I have never learned programming like this. You're just amazing. kya he kehne aap ke.

[lokeshagarwal]

the more i see ur Videos and this programme, the more i appreciate you and pray for you

[SaurabhMishra]

One of the best lecture series on Pandas...Thanks for making these

[DayanandNimbalkar-us]

This is one of the best lecture on pandas i ever watched

[waqasbadar]

Level hai sir apka.... Kmal easy method to understand.... Everything... Love from pakistan

[yogkhandagre]

Pd.set_option('display.max_row', None) to see all rows from df or series

[tathastughosh]

Currently, I became very eager to learn the packages like numpy, panda, matplotlib and seaborn but I was not getting one single video which elaborates everything and teaches me with simple language. This is the only channel where I have found it.
It is very hard to believe that all these contents are free of cost.
Thank you sir.
Hats off !!

[svs]

we got 0 in subs.prod() because its a very long answer in integer. In the case of pandas' prod() method, if the product exceeds the maximum value that can be stored in an int64, it might not necessarily result in inf. Instead, because it's an integer operation, it can wrap around due to integer overflow and potentially give an incorrect result, like 0.

to solve this we can use this:-

from math import prod

# Convert the series to a list of Python integers
new_subs_list = new_subs.tolist()

# Calculate the product using Python's arbitrary-precision arithmetic
product_arbitrary_precision = prod(new_subs_list)

product_arbitrary_precision

[Amandeepsingh-vrps]

agar ye banda mera teacher hota to mein 100 saal study karnee ke liye ready hota ...legit sir

[FauziStudent]

There is a problem in squeeze function, in new update the correct syntax is -

for 1d
subs.squeeze()

for2d
kohliscore = pd.read_csv('kohli_ipl'.csv)
series_convert =

[ayushsachdeva]

1:22:44 it happen because when we call negative numeric value pandas check in the index if there is numeric value then it will show you the output otherwise it will through error and in string values it create its own index inside those string values thats why you will be able to get the answer with string

[shahbazsaeed]

Bhai you are a great person and teacher

[int_topics]

thank you sir. great content. understand every bit of the video

[sudhanvasavyasachi]

SQUEEZE has been removes from pandas in pandas 2.0

[elonmusk]

glad i found this channel . ultimate legend

[zerotohero]

thanks a lot sir
no ones better than you

[InspiringInsightsbyprajjaldhar]

You are my favourite teacher....love you sir 3000❤️❤️

[AmarSharma]

1:11:40 syd there might be any non-numeric value which are being treated like zero