import pandas as pd

iris = pd.read_csv("/home/mfahri/Documents/data mining/data/iris.csv")
In [3]:
print(iris)

     sepal_length xx  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
..               ...          ...           ...          ...        ...
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

[150 rows x 5 columns]
In [2]:
import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np
import matplotlib.pyplot as plt

objects = ('Python', 'C++', 'Java', 'Perl', 'Scala', 'Lisp')
y_pos = np.arange(len(objects))
performance = [10,8,6,4,2,1]

plt.barh(y_pos, performance, align='center', alpha=0.5)
plt.yticks(y_pos, objects)
plt.xlabel('Usage')
plt.title('Programming language usage')

plt.show()
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