Python Seaborn - 2 | Creating a COUNT PLOT or FREQUENCY PLOT to See the Frequency Distribution

Python Seaborn - 1 | Creating a COUNT PLOT or FREQUENCY PLOT or COLUMNER PLOT or BAR PLOT to See the Frequency Distribution of a Categorical Variable
This video covers:
00:00 - Introduction
01:00 - Importing Seaborn and other required libraries
01:43 - Importing excel data file
02:45 - Creating a basic COUNTPLOT to show the frequency/count of values in a given categorical variable
04:11 - Changing/Adjusting the figure size of a plot figure
05:53 - Horizontal count plot | Bar plot to show the count | Convert the count plot to horizontal bars
06:46 - Creating a count plot for two categorical variables | Adding hue to the count plot
08:26 - Changing the color of columns in count plot using color palette
09:49 - Changing the style of count plot i.e. changing face color, line width, edge color or line color
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 : 2.Seaborn_CountPlot.py
URL : github.com/LEARNEREA/Python/t...
Seaborn Official website for count plot:
seaborn.pydata.org/generated/...
#python #pythonforbeginners #VisualizationInPython #seaborn #visualizationUsingSeaborn #CountPlotUsingSeaborn

[@learnerea]

To have numbers at bars/columns -
import seaborn as sns
import matplotlib.pyplot as plt
# load the iris dataset
iris = sns.load_dataset('iris')
# create a count plot of the species column
ax = sns.countplot(x='species', data=iris)
# add count values to the bars
for p in ax.patches:
ax.annotate(format(p.get_height(), '.0f'), (p.get_x() + p.get_width() / 2., p.get_height()),
ha = 'center', va = 'center', xytext = (0, 10), textcoords = 'offset points')
plt.show()

[@greycatturtle]

Wow, this is exactly what I needed thank you for explaining it so well!

[@learnerea]

Glad it was helpful!

[@chandrakantasahoo1736]

very nicely explained all , thanks

[@learnerea]

Hope that helped. Keep watching

[@saswatachatterjee4213]

Thanks sir for this beautiful session...

[@learnerea]

Your welcome!

[@enricoroselino7557]

spot on tutorial thank u

[@learnerea]

Glad it helped

[@bensalahali30]

Thank you.

[@learnerea]

Glad you liked it

[@zeynabazimi7442]

Hello. Thank you for all the useful videos. On 2:05, when you want to read the excel file, you have this drop down menu of functions. Could you let me know how you added it to jupyter notebook? Thanks.

[@learnerea]

when you write "pd." just prcess Tab key from your keyboard and you will get that dropdown. Enjoy:)

[@KeerthivasanSundararaman]

hey thanks for the video.. if i want the actual number in each of the bars how do it get it

[@learnerea]

will make a video on this soon, in the meantime, you can use this for reference -
www.geeksforgeeks.org/how-to-show-values-on-seaborn-barplot/

[@sukhmanisahaji9827]

Hey this tutorial is great, but I'm getting numbers on the labels for x-axis instead of column names on it. How do I fix this?

[@learnerea]

try below -
You may find it little lengthier, try the below -
import seaborn as sns
import matplotlib.pyplot as plt
# load the iris dataset
iris = sns.load_dataset('iris')
# create a count plot of the species column
ax = sns.countplot(x='species', data=iris)
# add count values to the bars
for p in ax.patches:
ax.annotate(format(p.get_height(), '.0f'), (p.get_x() + p.get_width() / 2., p.get_height()),
ha = 'center', va = 'center', xytext = (0, 10), textcoords = 'offset points')
plt.show()

[@umamaheswararaom7909]

If there is number on x-axis and count on y axis , how to give range for x axis, how to change range on y axis like (5,10, 15)

[@learnerea]

Hi Uma,
try below -
sns.countplot(data=your_df,x="your_x_label_column")
plt.ylim(min_number_you_want_to_start_from,max_number_you_want_to_start_from)
for example, I have this data -
data = {"Gender":[1,3,2,3,1,2,3,2,1,3,1],
"Income":[80,34,40,45,50,90,70,60,45,40,85]}
and I want to ploat "Gender" on x axis and want see the count in range between 3 to 12 then this is waht I'll do
sns.countplot(data=df,x="Gender")
plt.ylim(3,12)
DO NOT FORGET TO IMPORT - import matplotlib.pyplot as plt
let me know if this helps or not

[@johnedwards7024]

How would you add labels to the plot to indicate the actual number?

[@learnerea]

You may find it little lengthier, try the below -
import seaborn as sns
import matplotlib.pyplot as plt
# load the iris dataset
iris = sns.load_dataset('iris')
# create a count plot of the species column
ax = sns.countplot(x='species', data=iris)
# add count values to the bars
for p in ax.patches:
ax.annotate(format(p.get_height(), '.0f'), (p.get_x() + p.get_width() / 2., p.get_height()),
ha = 'center', va = 'center', xytext = (0, 10), textcoords = 'offset points')
plt.show()

[@sadikaljarif9635]

where is frequency distribution???countplot and fdist both are different right?

[@learnerea]

What sort of frequency you actually want see, if you can give an example, possibly I'll be able to suggest you a better solution

[@programmingholic]

bro not getting suggestion on palette, producing error

[@learnerea]

Suggseted in the comment on barplot.. alternatively you can also use -
sns.color_palette
to get the list

[@uchindamiphiri1381]

me too now lol