Plot visualization with pandas and siborn

NumPy | Python Methods and Functions

A box plot consists of 5 things.

minimal
First quartile or 25%
Median (second quartile) or 50%
Third quartile or 75%
maximum

To load the dataset in use, click here .

Draw a plot frame with pandas:

One way to plot a boxplot using pandas

# import the desired library

import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

% matplotlib inline

# load dataset

df = pd.read_csv ( "tips.csv" )

# display 5 rows of dataset
df.head ()

Conspiracy days subject to total_bill .

  
 
        df.boxplot (by   =   `day`  , column   =   [ ` total_bill`  ], grid   =   False  )

Boxplot by size best regards tip .

df.boxplot (by = `size` , column = [ ` tip` ], grid = False )

Draw a box using the Seaborn library:

Syntax:
seaborn.boxplot (x = None, y = None, hue = None, data = None, order = None, hue_order = None, orient = None, color = None, palette = None, saturation = 0.75, width = 0.8, dodge = True, fliersize = 5, linewidth = None, whis = 1.5, notch = False, ax = None, ** kwargs)

Parameters:
x = feature of dataset
y = feature of dataset
hu e = feature of dataset
data = datafram or full dataset
color = color name

Let`s see how to create a boxed plot using the Seaborn library.

Information about a set of "hints."

# load dataset

tips = sns.load_dataset ( `tips` )

tips.head ()

Plot days with total_bill .

# Draw a vertical checkpoint grouped
# by categorical variable:

sns .set_style ( "whitegrid" )

sns.boxplot (x = `day` , y = ` total_bill` , data = tips)

Let`s take the first rectangle, that is, the blue rectangle plot of the shape, and figure out the following statistical things:

Bottom black horizontal plot line blue rectangle is the minimum value
First black horizontal rectangular line on the blue rectangle chart — First quartile or 25%

Second black rectangular horizontal line in the blue rectangle plot represents the Second quartile or 50% or median.

The third black horizontal rectangular line of the blue rectangle represents the third quartile or 75%

The maximum value of the top black horizontal line of the rectangle in the blue border

Small diamond shapes in the blue rectangle plot represent outliers or erroneous data.

Plot visualization with pandas and siborn

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