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

# # Example notebook for hosting on mybinder.org  
# June 15, 2020  7:53 PM EST    
# On Github datasciY repo.  
#   

# ### MyBinder build environment  
# to add mybinder badge
# 
# environment.yml has to be at root level.  
# Re-built image, launch takes very long time.   
#    \-

# In[1]:


# Add Opin in Binder badge.  


# ### Google Colab link   - Done 
# Used html table to make into a box.   
# To add black outline around table somehow.

# <table align="left">
#   <td>
#     <a target="_blank" href="https://colab.research.google.com/github/jenneyoon/datasciy/blob/main/example_rt.ipynb"><img src="https://www.tensorflow.org/images/colab_logo_32px.png" />Run in Google Colab</a>
#   </td>
# </table>

# <a target="_blank" href="https://colab.research.google.com/github/jenneyoon/datasciy/blob/main/example_rt.ipynb">
#     <img align="left" src="https://www.tensorflow.org/images/colab_logo_32px.png" />Run in Google Colab</a>
# 

# <a target="_blank" href="https://colab.research.google.com/github/jenneyoon/datasciy/blob/main/example_rt.ipynb">
#   <img align="left" src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>   Open in Colab</a>
# 

# <a href="https://colab.research.google.com/github/jenneyoon/datasciy/blob/main/example_rt.ipynb">
#   <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
# </a>

# In[1]:


import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits import mplot3d
get_ipython().run_line_magic('matplotlib', 'inline')


# ### 1. Matplotlib 3D plots  

# In[2]:


# 3D data  
def f(x, y):
    return np.cos(np.sqrt(x**2 + y**2))

x = np.linspace(-4, 4, 36)
y = np.linspace(-4, 4, 36)
X, Y = np.meshgrid(x, y)
Z = f(X, Y)


# In[3]:


# OO Style, set plot
fig = plt.figure()
ax = plt.axes(projection='3d')
ax.contour3D(X, Y, Z, 60, cmap='RdBu')
ax.set(xlabel='X', ylabel='Y', zlabel='Z', title='Contour Plot 3D')


# ### 2. Overploting Histograms

# In[4]:


# data for 3 histograms, randomly generated  
x1 = np.random.normal(0, 0.5, 200)
x2 = np.random.normal(-2, 1, 200)
x3 = np.random.normal(3, 1.6, 200)


# In[5]:


plt.style.use('seaborn-whitegrid')
kwargs = dict(histtype='stepfilled', alpha=0.4, density=True, bins=25)
plt.hist(x1, **kwargs)
plt.hist(x2, **kwargs)
plt.hist(x3, **kwargs)
plt.title('Three Histograms')
plt.xlabel('X data')
plt.ylabel('Y count');


# In[6]:


get_ipython().system('python --version')
import datetime as dt
print(dt.date.today())
print(dt.datetime.now())


# In[ ]: