Python Seaborn - 3 |BAR PLOTS in Python Using Seaborn Library with MEAN, MEDIAN, SUM, COUNT agg

Python Seaborn - 3 | Creating BAR PLOTS in Python Using Seaborn Library with MEAN, MEDIAN, SUM or COUNT aggregation | Change the Aggregation Function in Seaborn BAR PLOT
In this video we have covered:
00:00 - Introduction
01:56 - Importing all the required libraries
03:05 - Get the list of dataframes provided with seaborn library
03:31 - Load dataframe from seaborn library | Import dataframe from seaborn library
04:03 - Import excel data using pd.read_excel
05:93 - Creating a basic BAR PLot based on one categorical and one numerical variable
05:45 - Adjusting the size/dimension of plot
07:08 - Creating BAR PLOT using two categorical and one numerica variable with the help of HUE parameter
08:35 - Change the orientation of BAR PLOT | Creat a HORIZONTAL BAR PLOT
09:29 - Change the order of columns or bars in a BAR PLOT
11:03 - Change the order of Hue variable elements in a BAR PLOT
11:33 - Adding caps on the error bar in a BAR PLOT
12:21 - Removing error bars from a BAR PLOT | Removing liens showing at the top of each column/bar in a BAR PLOT
12:46 - Change the COLOR of columns or bars in a BAR PLOT
13:25 - Changing the color palettes using palette attribute | get the list of accepatable color palettes in SEABORN PLOTS
14:40 - Changing the COLOR SATURATION of bars or columns in a BAR PLOT
15:42 - Using different statistical aggregation function in BAR PLOT other than MEAN from the Numpy Library
You can download the excel files used in this video using:
File Name : supermarket_sales.xlsx
URL : github.com/LEARNEREA/Python/t...
You can download the script created in this video using:
File Name : 3.Seaborn_BarPlot.py
URL : github.com/LEARNEREA/Python/t...
Seaborn Official website for Bar plot:
seaborn.pydata.org/generated/...
#python #pythonforbeginners #VisualizationInPython #seaborn #visualizationUsingSeaborn #BarPlotUsingSeaborn

[@MagnusAnand]

Great video!
One comment. When ordering the list you could do like this:
ordered_columns = mart['Product line'].sort_values().unique()
sns.barplot(y='Product line', x='Total',hue='Gender', data=mart, order=ordered_columns)
I think it's more clear.

[@learnerea]

good one

[@jitendratrivedi7889]

Deserve more views , very well explained ..

[@learnerea]

I'm Glad you liked it

[@chalmerilexus2072]

Please make a video on how to text wrap the labels on x -axis.

[@learnerea]

Sure

[@focused9227]

Is there any good ideas to display the values of the error on barplot? I could find only "ax.bar_label(ax.containers[0])" in the website for showing estimators, not errors.

[@learnerea]

Hi FOCUSED,
That would requrie us to make another video, which we will do in sometime, keep an on the channel

[@dhruvshah7952]

how do you display error bars on a barplot, when i plot my barplots they do not have error bars. However I want them to

[@learnerea]

It could be because of data, possibly the data you are using, doesn't have any error(not sure), I would rather suggest to try this once for another dataframe

[@programmingholic]

in the palette , it doesn't show suggestions of colors now, how we can get suggestions of colors ?

[@learnerea]

Here you can get whole list of palletes -
seaborn.pydata.org/generated/seaborn.color_palette.html#:~:text=Possible%20palette%20values%20include%3A,'husl'%20or%20'hls'

[@chalmerilexus2072]

Few more doubts -
1. What's the difference between bar plot and count plot ?
2. How to create multiple bar plots using FOR LOOP.
3. How to text wrap the axis labels ?
4. Explain how to create SUBPLOTS.

[@learnerea]

Interesting Doubts, will try to post the solution

[@patjaproduction1119]

03:48

[@shardulsharma6899]

bra...barplot 😂

[@learnerea]

yeah.. that was literally a disastrous tongue slip...........

[@janaramon1232]

I thought it was just me!