Assignment No.
In [1]: Name:Wavhal Prathmesh Navnath Class:SY-B Roll No:2317137 Batch:D
In [42]: import pandas as pd
In [43]: import numpy as np
In [44]: import seaborn as sns
In [45]: import matplotlib.pyplot as plt
In [46]: iris=sns.load_dataset("iris")
In [47]: iris.head()
Out[47]: sepal_length sepal_width petal_length petal_width species
0 5.1 3.5 1.4 0.2 setosa
1 4.9 3.0 1.4 0.2 setosa
2 4.7 3.2 1.3 0.2 setosa
3 4.6 3.1 1.5 0.2 setosa
4 5.0 3.6 1.4 0.2 setosa
In [48]: iris['species'].value_counts()
Out[48]: species
setosa 50
versicolor 50
virginica 50
Name: count, dtype: int64
In [49]: speciescount=iris['species'].value_counts()
In [50]: plt.figure(figsize=(8,8))
plt.pie(speciescount,labels=speciescount.index)
plt.title('Disribution of Iris Species')
plt.show()
In [51]: species_means=iris.groupby('species').mean()
In [52]: species_means.plot(kind='bar',figsize=(10,6))
plt.title("Average Measurement of iris species")
plt.xlabel('species')
plt.ylabel("Measurement (cm)")
plt.xticks(rotation=0)
plt.legend(title='Features')
plt.show()
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Average Measurement of iris species
Features
sepal_length
6
sepal_width
peta l_le11gth
petal_width
5
o ---
setosa versicolor virginica
species