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

# In[1]:


import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns


# In[2]:


df = pd.read_csv('AmesHousing.tsv', delimiter="\t")


# In[3]:


financial_crisis = df[['Order','SalePrice']].copy()
financial_crisis['Time'] = df['Order']
financial_crisis['rolling_mean'] = df['SalePrice']


# In[4]:


financial_crisis.head()


# In[5]:


mean = financial_crisis['rolling_mean'].mean()


# In[6]:


# # ZOOM IN:
financial_crisis = financial_crisis[:200]

### Adding the FiveThirtyEight style
import matplotlib.style as style
style.use('fivethirtyeight')

### Adding the plot
fig, (ax1, ax2) = plt.subplots(nrows = 2, ncols = 1,figsize=(12,6))
plt.subplots_adjust(hspace = 0, wspace=0) 

ax1.plot(financial_crisis['Time'],
        financial_crisis['rolling_mean'],
        linewidth=1, color='#e23d28')
ax1.set_ylim(bottom=mean)
ax1.set_xticklabels([])
ax1.spines['bottom'].set_visible(False)

#ax1.get_xaxis().set_visible(False)


ax2.plot(financial_crisis['Time'],
        financial_crisis['rolling_mean'],
        linewidth=1, color='#A6D785')
ax2.set_ylim(top=mean)
ax2.spines['top'].set_visible(False)


plt.show()




# In[7]:


# # ZOOM IN:
financial_crisis = financial_crisis[:200]

### Adding the FiveThirtyEight style
import matplotlib.style as style
style.use('fivethirtyeight')

### Adding the plot
fig = plt.figure(figsize=(12, 6))


ax1 =fig.add_axes([0, .5, 1, .5])
ax1.plot(financial_crisis['Time'],
        financial_crisis['rolling_mean'],
        linewidth=1, color='#A6D785')
ax1.set_ylim(mean)
ax1.set_xticklabels([])
ax1.spines['bottom'].set_visible(False)

ax2 = fig.add_axes([0, 0, 1, 0.5])

ax2.plot(financial_crisis['Time'],
        financial_crisis['rolling_mean'],
        linewidth=1, color='#e23d28')
ax2.set_ylim(top=mean)
ax2.spines['top'].set_visible(False)

plt.show()




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