Seaborn scatter plot

The dataset

	total_bill	sex	time	tip	size	day	smoker
0	500.0	male	lunch	30	2	sat	no
1	648.0	male	dinner	35	3	sat	yes
2	75.0	female	lunch	10	1	sat	no
3	159.0	female	dinner	12	4	sat	yes
4	250.0	male	lunch	3	3	mon	no
5	222.0	female	lunch	25	3	mon	yes
6	356.0	male	dinner	30	4	mon	no
7	99.0	female	lunch	5	1	mon	no
8	150.0	male	dinner	4	4	mon	no
9	225.0	female	lunch	38	4	mon	no
10	478.0	female	lunch	28	3	tue	yes
11	320.0	male	dinner	14	3	tue	yes
12	300.0	male	lunch	32	2	tue	yes
13	520.0	male	lunch	33	3	wed	yes
14	367.0	male	dinner	25	3	tue	yes
15	277.0	female	lunch	40	4	wed	yes
16	100.0	female	dinner	6	1	wed	no
17	99.0	male	dinner	40	1	wed	yes
18	199.0	female	lunch	35	3	wed	no
19	288.0	female	dinner	21	2	wed	yes
20	120.0	male	dinner	18	1	thu	yes
21	168.0	male	lunch	15	4	thu	yes
22	120.0	female	dinner	10	3	thu	yes
23	284.0	male	lunch	8	2	thu	yes

How to create scatter plot?

To create scatter plot write module_name.scatterplot(). In the bracket write parameters.

Mandatory parameters:

x="column name for x axis"

y="column name for y axis"

data= variable name where we stored the dataset.

hue="column name".Hue means, for which your x-axis and y-axis values are. Suppose for sex you want to see the total bill in days so use the total bill on the y-axis and day in the x-axis and sex column in hue.

Some other parameters:

palette:palette value name.There is some fixed name for this parameter. We can use those names for different pre-build colors.Example:Accent_r,hot,inferno_r etc.

alpha=0.0-1.0. To control the transparency of the plot we use this.

sizes=(minimum value,maximum value).We use this value to set the marker size range.

style="column_name"

Example 1:

Input
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

df=pd.read_csv("E\\CSV4.csv")
sns.scatterplot(x="day",y="total_bill",data=df,hue="sex")
plt.show()

Example 2:

Input
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

df=pd.read_csv("E\\CSV4.csv")
sns.scatterplot(x="day",y="total_bill",data=df,hue="sex",sizes=(80,150),palette="inferno_r",alpha=0.7,style="size")
plt.show()

CodersAim is created for learning and training a self learner to become a professional from beginner. While using CodersAim, you agree to have read and accepted our terms of use, privacy policy, Contact Us