Seaborn dist 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 a dist plot?

To create dist plot write module_name.distplot().In the bracket write parameters.

Mandatory parameters
dataset_stores_variable_name["column_name"]

Extra parameters:

hist= Value True or False. If you pass False then you will not see the bars.

kde= Value True or False. If you pass False then you will not see the line.

color="color name". Used to give color to the bars.

vertical= Value True or False.If you pass False then you will see a graph vertically.

xlabel="string value". Used this parameter to give x-axis label.

bins:list stored variable name. In the dist plot automatically you get values on the x-axis. But if you want to change the value then write those values in a list and store it in a variable and for use write that variable name in the bins parameter.

hist_kws={here we pass values as a dictionary to decorate bars}
color:"color name"
linewidth:int value
linestyle:":,-,--, etc"

kde_kws:{here we pass values as a dictionary to decorate line}
color:"color name"
linewidth:int value
linestyle:":,-,--, etc"

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.

set()

This is used to set grid background.To use this write module_name.set().

figure()

This is used to set the size of the plot.To use this write module_name.figure(). In the bracket write figsize=(width, height)

Example 1:

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

df=pd.read_csv("E\\CSV4.csv")
sns.set()
plt.figure(figsize=(13,7))
sns.distplot(df["size"])
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")
bins_value=[5,10,15,20,25,30,35,40,45,50,55,60]
sns.distplot(df["size"],bins=bins_value,hist=True,kde=True,color="m",vertical=False,xlabel="Length")
plt.show()

Example 3:

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

df=pd.read_csv("E\\CSV4.csv")
sns.distplot(df["size"],hist_kws={"color":"m","linewidth":2,"linestyle":"-"}, kde_kws={"color":"blue","linewidth":4,"linestyle":"--"})
plt.show()

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