Seaborn cat 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 cat plot?

To create catplot write module_name.catplot(). 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

Extra parameters:
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.

kind="swarm, box, violin, strip, boxen, point, count, bar etc". If we pass swarm then we will get the plot like scatter plot. For violin we will get plot like violin plot and for box we will get box plot. Same thing we will get for other values.

col="column name". Using this you can create multiple charts columns according to the given column name.Here the number of columns will be equal to the number unique value present in the given column.

row="column name". Using this you can create multiple charts rows according to the given column name.Here the number of rows will be equal to the number unique value present in the given column.

row_order=["column_unique_val","column_unique_val"....]. If you are using row parameter then you can use this parameter also. Using row parameter you are creating multiple rows according to the given column and using row_order your can order those row. It is not mandatory that you must use this parameter if you use row parameter. You can use it and also can't use it.

How to give title,labels,legend,grid?
Title
For title write module_name.title().
In the bracket write the title as a string. For font size write fontsize:value. Between title name and fontsize parameter give a coma.

xlabel
For label at x-axis write module_name.ylabel().
In the bracket write label name as string. For font size write fontsize:value. Between label name and fontsize parameter give a coma.

ylabel
For label at y-axis write module_name. ylabel().
In the bracket write label name as string. For fontsize write fontsize:value. Between label name and fontsize parameter give a coma.

grid
For grid first write module_name.grid().
Some parameters of the grid are
1.color: used to set the color of the grid.Example: color="green".
2.linestyle: used to set grid line style.Example: linestyle="--".
3.linewidth: used to set line width of the grid.example: linewidth=2.

Example 1:

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

df=pd.read_csv("E\\CSV4.csv")
sns.catplot(x="day", y="total_bill", data=df, hue="sex", kind="violin")
plt.grid(color="b",linestyle="--",linewidth=0.2)
plt.title("cat plot",fontsize=0.2)
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.catplot(x="day",y="total_bill",data=df,hue="sex",kind="strip",col="smoker")
plt.grid(color="b",linestyle="--",linewidth=0.2)
plt.title("Cat plot",fontsize=0.2)
plt.show()

To get violin plot pass violin to the kind parameter,inner="stick"

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

df=pd.read_csv("E\\CSV4.csv")
sns.catplot(x="day",y="total_bill",data=df,hue="sex",kind="violin",inner="stick",row="time",row_order=["lunch","dinner"])
plt.grid(color="b",linestyle="--",linewidth=0,2)
plt.title("violin",fontsize=0.2)
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