#!/usr/bin/env python
# coding: utf-8

# In[1]:


get_ipython().run_line_magic('load_ext', 'rpy2.ipython')
get_ipython().run_line_magic('matplotlib', 'inline')


# In[2]:


import pandas as pd
from sklearn import datasets
import numpy as np

import seaborn as sns
import matplotlib.pyplot as plt
sns.set(style="white", color_codes=True)
 
iris = datasets.load_iris()
df = pd.DataFrame(data= np.c_[iris['data'], iris['target']],
                  columns= iris['feature_names'] + ['target'])
df.rename(columns={'sepal length (cm)': 'length', 'sepal width (cm)': 'width'}, inplace=True)
df.head()


# In[3]:


df.plot(kind="scatter", x="length", y="width")


# In[5]:


get_ipython().run_cell_magic('R', '-i df', "# may need to install.packages ggplot2\nlibrary('ggplot2')\nggplot(df, aes(x=df$width, y=df$length)) + geom_point()\n")


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