In [1]:

    

import pandas as pd
import seaborn as sns


    

In [2]:

    

df = sns.load_dataset("iris")
print(df.shape)


    

    




(150, 5)

In [3]:

    

print(df.head())


    

    




   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 [4]:

    

print(df.head(3))


    

    




   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

In [5]:

    

print(df.tail())


    

    




     sepal_length  sepal_width  petal_length  petal_width    species
145           6.7          3.0           5.2          2.3  virginica
146           6.3          2.5           5.0          1.9  virginica
147           6.5          3.0           5.2          2.0  virginica
148           6.2          3.4           5.4          2.3  virginica
149           5.9          3.0           5.1          1.8  virginica

In [6]:

    

print(df.tail(3))


    

    




     sepal_length  sepal_width  petal_length  petal_width    species
147           6.5          3.0           5.2          2.0  virginica
148           6.2          3.4           5.4          2.3  virginica
149           5.9          3.0           5.1          1.8  virginica

In [7]:

    

print(df[50:55])


    

    




    sepal_length  sepal_width  petal_length  petal_width     species
50           7.0          3.2           4.7          1.4  versicolor
51           6.4          3.2           4.5          1.5  versicolor
52           6.9          3.1           4.9          1.5  versicolor
53           5.5          2.3           4.0          1.3  versicolor
54           6.5          2.8           4.6          1.5  versicolor

In [8]:

    

print(df[:5])


    

    




   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 [9]:

    

print(df[-5:])


    

    




     sepal_length  sepal_width  petal_length  petal_width    species
145           6.7          3.0           5.2          2.3  virginica
146           6.3          2.5           5.0          1.9  virginica
147           6.5          3.0           5.2          2.0  virginica
148           6.2          3.4           5.4          2.3  virginica
149           5.9          3.0           5.1          1.8  virginica

In [10]:

    

print(df.head(1))


    

    




   sepal_length  sepal_width  petal_length  petal_width species
0           5.1          3.5           1.4          0.2  setosa

In [11]:

    

print(type(df.head(1)))


    

    




<class 'pandas.core.frame.DataFrame'>

In [12]:

    

print(df.iloc[0])


    

    




sepal_length       5.1
sepal_width        3.5
petal_length       1.4
petal_width        0.2
species         setosa
Name: 0, dtype: object

In [13]:

    

print(type(df.iloc[0]))


    

    




<class 'pandas.core.series.Series'>

In [14]:

    

print(df.iloc[0]['sepal_length'])


    

    




5.1

In [15]:

    

print(df.iloc[-1])


    

    




sepal_length          5.9
sepal_width             3
petal_length          5.1
petal_width           1.8
species         virginica
Name: 149, dtype: object

In [16]:

    

print(type(df.iloc[-1]))


    

    




<class 'pandas.core.series.Series'>

In [17]:

    

print(df.iloc[-1]['sepal_length'])


    

    




5.9

In [18]:

    

# print(df[0])
# KeyError: 0


    

In [19]:

    

# print(df[-1])
# KeyError: -1