Seaborn reg 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 reg plot?

To create reg plot write module_name.regplot().In the bracket write parameters.

Mandatory parameters:

x="column name".X axis column name

y="column name".Y axis column name

data=dataset stored variable name.

Extra parameters:

marker:"marker symbol".Used to set marker

scatter_kws=The color name is stored as a dictionary variable name. Used to set the color. This parameter is used for dots.

line_kws=color, linewidth value stored as dictionary variable name. Use this for the line.

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

df=pd.read_csv("E\\CSV4.csv")
scatter_kws={"color":"r"}
lines_kws={"color":"b","linewidth":"3"}
sns.regplot(x="total_bill",y="size",data=df,scatter_kws=scatter_kws,line_kws=lines_kws,marker="o")
plt.grid(color="blue",linestyle="--",linewidth=0.9)
plt.title("regplot",fontsize=15)
plt.show()

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