Garimpagem de Dados

In [1]:

    

%matplotlib inline
import matplotlib.pyplot as plt


    

In [2]:

    

y = [1, 7, 3, 5, 12]
x = [1, 2, 3, 4, 5]
plt.plot(x, y, marker='o');


    

In [3]:

    

plt.plot(x, y, marker='o')
plt.grid()


    

In [4]:

    

plt.scatter(x, y, marker='x');


    

In [5]:

    

plt.bar(x, y);


    

In [6]:

    

%config InlineBackend.figure_format = 'pdf'
plt.bar(x, y);


    

    






<matplotlib.figure.Figure at 0x7fb1ff3d6e10>

In [7]:

    

%config InlineBackend.figure_format = 'png'
plt.bar(x, y);


    

In [8]:

    

anos = [1950, 1960, 1970, 1980, 1990, 2000, 2010]
pib = [300.2, 543.3, 1075.9, 2862.5, 5979.6, 10289.7, 14958.3]
plt.plot(anos, pib, marker='o')
plt.title('PIB')
plt.xlabel('Ano')
plt.ylabel(u'Bilhões de R$')
plt.grid()


    

In [9]:

    

import matplotlib
matplotlib.__version__


    

    
Out[9]:





'2.0.2'

In [10]:

    

print(plt.style.available)


    

    




['ggplot', 'seaborn-notebook', 'seaborn-dark-palette', 'seaborn', 'seaborn-bright', 'grayscale', 'seaborn-whitegrid', '_classic_test', 'seaborn-paper', 'seaborn-white', 'bmh', 'seaborn-deep', 'seaborn-muted', 'seaborn-dark', 'classic', 'seaborn-ticks', 'seaborn-poster', 'seaborn-talk', 'seaborn-pastel', 'seaborn-colorblind', 'fivethirtyeight', 'dark_background', 'seaborn-darkgrid']

In [11]:

    

plt.rcdefaults()


    

In [12]:

    

plt.plot(x, y, marker='o')
plt.grid()


    

In [13]:

    

plt.style.use('classic')


    

In [14]:

    

plt.plot(x, y, marker='o')
plt.grid()


    

In [15]:

    

plt.rcdefaults()
plt.style.use('seaborn-white')


    

In [16]:

    

plt.plot(x, y, marker='o')
plt.grid()


    

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