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very useful. tnx

Im getting additional information in while finding unique values for a column in dataset how to fix this

I am new to matplotlib and this video helped a lot with my very first project. Thank you datagy for making programming less scary! :) One question though, how can I rotate the text on the x axis?

you absolutely slayed with this tutorial!

my dict is the defaultdict

Ver nice tutorial i have been looking for that!!!

very helpful, thank you

If you getting error while executing the line df.corr() it is probably due to the new version of python in this we need to give only numeric value so instead execute the below line df.corr(numeric_only=True)

i still didn't understand bins like what are bins??

how to fix it in app.py? Please give me instrustion File "d:\Python\WeatherApp_Flask\app.py", line 6, in <module> @app.route('/', methods) ^^^^^^^ NameError: name 'methods' is not defined

There are SO many, quite frankly TOO many instructional videos, and they are tedious, too long, and unclear, but YOURS is EXACTLY on point

How do i make a map of a different country?

wow am subscribe right now

Guys he is the best and simplest , best one seriously , just trust and watch till the end .

Excellent

you're the best!!! thank you

Hey you're good! Learnt a few good things here

thanks for the tut, it is so useful and finally I made my first project

nice!

Thanks for your Video ! Can you please let me know if we can put those collapse and expand functionality in actually generated pivot table in excel using python ??

thanks

Challenge solution: df.iloc[df.ShareWomen.argmax(), 0:8] Returns all column values for the highest share of women

len(df) doesn't work. TypeError: 'DataFrame' object is not callable

Can you define normalize separately for rows and columns, say I want numbers in the columns total and percentages in the row totals?

HI, what if you want to create a similar function with takes 2 values? such that the 2 values will be 2 columns rather than using one column. The def function to take 2 columns instead of one, then use apply function

how to label select points using data?

This styling passes into csv and excel files?

Great content, thank you for this contribution!

Thank you so much!

hi, great work, explaining subject so easily to all, wondaful work, keep it up, could you explain OHLCV data, apply, map functions, user defined functions to to find the trend on the High, Low columns, to get buy signals and sell signals by not using any price lagging indicators.

Hi, you are doing awesomely work, explaining subject so easily to all, wondaful work, keep it up, could you explain OHLCV data, apply, map functions, user defined functions to to find the trend on the High, Low columns, to get buy signals and sell signals by not using any price lagging indicators.

This is exactly what ive been struggling with for these past couple of weeks.Im teaching myself data analytics and this video is making things so much better

7:18 ... The population growth rate math has a mistake. It should be (pop 21 - pop 20)) / pop 20. Currently it devides by pop 21.

Succinct and super effective. Thank you so much

Amazing Stuff , was looking for the same since some days and you are a true star, Thank you so much

Can we set clean transitions on this jinja data returns??

This is awesome, very detailed explanation. How can we bring the city lines inside the map?

Great video! Take a look at my Pandas tutorial if you want.

I think you should divide by population of 2020 to measure the variation. Still very instructive

Thank you for making this video. I finally understand how to do groupby. I have a question related to “agg”. Why did you apply numpy with aggregation functions?

Great presntation. I am building a trading bot using algorythm that deals with conditional columns (candlestick lengths of previous columbs) This is the video I was looking for. Thanks for the vid. Very clear and informative. Exactly what I was looking for.

It's nice to know the basics, but as an experienced user I got tired of typing the same things over and over... So I built the open source buckaroo data table so you never have to look up pd.set_option again. Take a look, it has sortable columns, summary stats, histograms, and a performant table built in. It works in Jupyter with pandas and polars. Try it with "pip install buckaroo" then import buckaroo #buckaroo becomes the default display method for dataframes in Jupyter

Great video! Thank you!

I really did enjoy this video and tutorial.. I will keep looking for the video I meant to learn in this channel afterward. THANK YOU VERY MUCH

still confused why this video is having so less likes, you have cleared the map function in a short and much clear video , nice work bro

I was banging my head trying to figure out how to make a correlation matrix and heatmap with plotly...your solution was much simpler and worked perfectly for me. You're a God send, thank you!!

Great tutorial, thanks

The Toronto ON and Canada values are hard coded hence this code doesn't work for any other cities

this is awesome very interesting thanks for teaching🙂🙂