One Shot of Data Structures in Pandas - DataFrame | Class 12 IP | Lovejeet Arora

Great explanation 👌👌

learn to teach and speak properly

Thank you so much ma'am I am so grateful that you teaching skill is wonderful

import pandas as pd
s1=[{"a":2,"b":4,},{"a":5,"b":33,"c":44,"d":60}]
df=pd.DataFrame(s1)
print (df)

output is:-

a b c d
0 2 4 NaN NaN
1 5 33 44 60
dtype : object

Plz have some patience don't be in so hurry, I have never seen worst explanation than this

Mam ap ka name kya hai 💖😍😍😍😍😍😍 mam

Hii mam 😊😊💖💖😍💖💖💖

Good morning mam 🌞🌞🌞🌞🌞🔆☺️☺️🤩🤩

Audio kharab h

Content is good but make it little bit fast a

print(df.loc[::2,'roll no':'name']) maam please tell that why this row no 1 will be excluded

output
a b c d
0 1.0 2.0 NaN NaN
1 5.0 33.0 NaN NaN
2 NaN NaN 5.0 45.0

Presentation bahut bakwas hai

Thanku mam

Thank you 🙏

Ma'am output main
Jahan per index 0 hai vha C and D main NaN aaue ga

nan come on the place of c and d

you r a cute woman

import pandas as pd
dict=[{'a':1,'b':2},{'a':5,'b':33,'c':34,'d':2}]
df=pd.DataFrame(dict)
print(df)
output:
a b c d
0 1 2 NaN NaN
1 5 33 34.0 2.0

Maam aap ekdum Alia Bhatt jaisi dikhti ho❤️❤️❤️❤️

NaN will come in c and d in first case
and in second case the value which is inserted

Mam NAN will come in the place of c and d ..

THANK YOU, MA'AM

Nice I got one issue in sheet 1 I have multiple data in column one cell like (1,2,3,4) many cells I have to compare them with another column in sheet 2 but sheet 2 I have only single digit number in column cell like (1) if sheet 1 matches with sheet 2 then should replace with new values which is also present in sheet 2

Nan

Nan

Mam chair beech mein aa jaaraha hai

maam apki video ne acha se dekhna nhi diye class

Ma'am Sumita arora apki family member ki hai kiye?

Hum to yaha aapko dekhne aate hai

Mam English plz

So nice looking u mem

import pandas as pd
dict1=[{'a':1,'b':2},{'a':5,'b':35,'c':40,'d':45}]
df=pd.DataFrame(dict1)
print(df)

Regret to say but its more talkative that learning....!!!!

import pandas as pd
list=[[86,78,86,86,86],[96,90,96,96,96],[88,82,88,88,88],[80,83,80,80,80]]
a=pd.DataFrame(list,index=["Unit test 1","Unit test 2","H/W","Annual"],columns=["January","February","March","April","May"])
print(a) ye rha homework mam
Mam jo jo padhaya aapne sab samjh aya

pahela aap study karo tab teacher bano. unacademey kaisai bakwas teacher rak leta hai.

ma'am your instagran id????

yup yup yup yup yup start ho chuka hai...
ye kaisa start hua hai... :/

23.30
import pandas as pd
A=[{"a":1,"b":2},{"a":5,"b":33}],
[{"c":3,"d":4},{"c":43,"d":69}]
Df=pd.DataFrame(A)
print(Df)