11- customizing plots in python (Day-4) | #python_ka_chilla

This video includes the information about basics of data visualization in python including, boxplots, line plots and bar charts/plots in Python using the most important libraries, matplotlib and seaborn. These charts will help in people learning data science in urdu or hindi. This is a 40 days long course and people interested in this course can learn python for data science in 40 days. Starting from 01.01.2022 or later on via videos.
only if you are interested in this 40 days long course (python_ka_chilla with baba_aammar.
More about me: I am Dr Aammar Tufail, your instructor in Python_ka_chilla. My aim is to train people in Data Science, machine learning, artificial intelligence, and deep learning by the end of the year (2022).

If you have any questions, you can always write in the comment section of the video, you have a question about.
#DataScience
#artificailIntelligence
#deeplearning
#machinelearning
#python
#python_ka_chilla
#baba_aammar

[Codanics]

Don't forget to give me feedback and comment below.

[sanashah]

present
04:34 plt.show() ko hataya jai to msla hl ho jata hy
sns.boxplot(x="sex", y="fare", data=kashti) is pe mera boxplot hogya ta

[snowywonderss]

9:00
Curly brackets { }
They can be used both for dictionary and set. The differnce lies in key and value. If there are key and value, it's dictionary type of data structure

[zaibakela]

Ammar Sir, bht acha parha rahy hain mashAllah and jazakAllah

[fawadtariq]

Love your commitment with the work. Even though it's totally free yet you are giving more than 100%. JazakAllah sir for helping us out.

[syedriazali]

MashaAllah sir nice video editing skills at the end

[technicalsyntax]

facet_wrap(): a 1d ribbon of panels into 2d.
facet_grid(): produces a 2d grid of panels defined by variables which form the rows and columns.

[habibkhan]

Python and data science with Codanics is very interesting. Keep up the great work

[ehtishamahmad]

Indeed a very informative and a full of knowledge session. Watched all the videos until now and Alhamdulillah catching up the pace. Thank you for your commitment and efforts.

[abdurrasheed]

I am a bit lag behind but trying to catch the pace. That’s a wonderful course, me har video k baad dua deta hun.. Allah khush rakhey

[dilshadraza]

I Dilshad Raza, doing my bachelors from University of the Punjab, Lahore with majors in geology, I am enjoying Learning python for data science from Codanics youtube channel in python_ka_chilla💝

[ListenBoltiKitabain]

9:02/15:41 { } is se hm dictionary b bna sakte hain and set b agr isme elements without keys hun gen to set bnta hai agr keys k sath hun gi values to dictionary hu gi

[mmudassarwarraich]

I am learning best data science and python_ka_chilla form sir ammar

[hassanorakzai]

14:45 Assignment:
Facet wrap: Makes a long ribbon of panels (generated by any number of variables) and wraps it into 2d. This is useful in case of a single variable.

Facet grid: Make a matrix of panels using row and column faceting variables. It is most useful in case of two discrete variables.

[goharrahman]

Informative session... Its helping in boosting our data analysis skills.

[JawadAhmadKhan]

Done assignment. I just pot a boxplot from my MS research data... maza arha hain yar :)

[taqi_haider]

14:47 facet_wrap() makes a long ribbon of panels (generated by any number of variables) and wraps it into 2d. This is useful if you have a single variable with many levels and want to arrange the plots in a more space efficient manner.
facet_grid(): produces a 2d grid of panels defined by variables which form the rows and columns.

[zaibakela]

mene apka course late join kia hai, shuru se videos dekh raha hon, late complete hoga, Lkn inshAllah zaroor complete krnga,

[quratulainhabib]

Facet Wraps makes a long ribbon of panels and wraps it into 2d. Useful for single variable with many levels and to arrange the plots in a more space efficient manner.
Facet Grid lays out plots in a 2d grid. Spreads the values of "a" across the columns. This direction facilitates comparisons of "y" position, because the vertical scales are aligned. "b" spreads the values of "b" down the rows. This direction facilitates comparison of x position because the horizontal scales are aligned. This makes it particularly useful for comparing distributions.

[irfankhan-jmtr]

y="age", it will be work after placement of comma because commas are missing there thats why its not working
time=4:53 mint