could you change this code to $.$py code? this is jupiter notebook ipny file.

import pandas as pd

import numpy as np

import matplotlib.pyplot as plt

import seaborn as sns

#Import the dataset

seeds$=$pd$.$read$\_$csv$(\text{'}$C:$/$Users$/$saran$/$OneDrive$/$Desktop$/$seeds$\_$data.csv$\text{'})$

seeds.head$()$

#Setup the column names

seeds.columns$=[\text{'}$area$\text{'},$'perimeter','compactness', 'kernel length', 'kernel width', 'asymmetry coefficient', 'kernel groove Length','class'$]$

print $($seeds$)$

#returns the number of missing values in the dataset

seeds.isnull$().$sum$()$

#checking if there are any negative values in any of the variables

$($seeds$<0).$any$().$any$()$

#checking if there are duplicate records in the dataset which is redundant and hence needs to be removed

seeds.duplicated$().$any$()$

# Print shape of dataset

print$($seeds$.$shape$)$

#dtypes returns a Series with the data type of each column

seeds.dtypes

#describe the dataset

seeds.describe$()$

# Peak at first $20$ lines of dataset

print$($seeds$.$head$(20))$

#describe$()$ is used to view some basic statistical details like percentile, mean, std$,$ etc. of a data frame or a series

#of numeric values.

print$($seeds$.$describe$())$

# Print class distribution of dataset

print$($seeds$.$groupby$(\text{'}$area$\text{'}).$size$())$

#Class distribution

print$($seeds$.$groupby$(\text{'}$class$\text{'}).$size$())$

#box plot

seeds.plot$($kind$=$'box', subplots$=$True, layout$=(7,5),$ sharex$=$False,sharey$=$False, figsize$=(20,30))$

plt$.$show$()$

# histograms

seeds.hist$($figsize$=(10,10))$

plt$.$show$()$

#scatter plot

scatter$\_$matrix$($seeds$,$ figsize$=(10,10))$

plt$.$show$()$