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

# [Sebastian Raschka](http://www.sebastianraschka.com)
# 
# [back](https://github.com/rasbt/matplotlib-gallery) to the `matplotlib-gallery` at [https://github.com/rasbt/matplotlib-gallery](https://github.com/rasbt/matplotlib-gallery)

# In[1]:


get_ipython().run_line_magic('load_ext', 'watermark')


# In[2]:


get_ipython().run_line_magic('watermark', '-u -v -d -p matplotlib,numpy')


# <font size="1.5em">[More info](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/ipython_magic/watermark.ipynb) about the `%watermark` extension</font>

# In[3]:


get_ipython().run_line_magic('matplotlib', 'inline')


# <br>
# <br>

# # Matplotlib Formatting II: gridlines

# # Sections

# - [Generating-some-sample-data](#Generating-some-sample-data)
# - [Default grid](#Default-grid)
# - [Vertical and horizontal grids](#Vertical-and-horizontal-grids)
#     - [Vertical grid](#Vertical-grid)
#     - [Horizontal grid](#Horizontal-grid)
# - [Controlling the gridline style](#Controlling-the-gridline-style)
#     - [Changing the tick frequency](#Changing-the-tick-frequency)
#     - [Changing the tick color and linestyle](#Changing-the-tick-color-and-linestyle)

# <br>
# <br>

# # Generating some sample data

# [[back to top](#Sections)]

# In[4]:


import numpy as np
import random
from matplotlib import pyplot as plt

data = np.random.normal(0, 20, 1000) 

# fixed bin size
bins = np.arange(-100, 100, 5) # fixed bin size

plt.xlim([min(data)-5, max(data)+5])

plt.hist(data, bins=bins, alpha=0.5)
plt.show()


# <br>
# <br>

# # Default grid

# [[back to top](#Sections)]

# In[5]:


plt.hist(data, bins=bins, alpha=0.5)
plt.grid()

plt.show()


# Or alternatively:

# In[6]:


plt.hist(data, bins=bins, alpha=0.5)
ax = plt.gca()
ax.grid(True)

plt.show()


# <br>
# <br>

# # Vertical and horizontal grids

# [[back to top](#Sections)]

# ## Vertical grid

# [[back to top](#Sections)]

# In[7]:


plt.hist(data, bins=bins, alpha=0.5)
ax = plt.gca()
ax.xaxis.grid(True)

plt.show()


# ## Horizontal grid

# [[back to top](#Sections)]

# In[8]:


plt.hist(data, bins=bins, alpha=0.5)
ax = plt.gca()
ax.yaxis.grid(True)

plt.show()


# <br>
# <br>

# # Controlling the gridline style

# [[back to top](#Sections)]

# ## Changing the tick frequency

# [[back to top](#Sections)]

# In[9]:


import numpy as np

# major ticks every 10                                     
major_ticks = np.arange(-100, 101, 10)                                              

ax = plt.gca()
ax.yaxis.grid()

ax.set_yticks(major_ticks)                                                       
                                    
plt.hist(data, bins=bins, alpha=0.5)

plt.show()


# ## Changing the tick color and linestyle

# [[back to top](#Sections)]

# In[10]:


from matplotlib import rcParams

rcParams['grid.linestyle'] = '-'
rcParams['grid.color'] = 'blue'
rcParams['grid.linewidth'] = 0.2

plt.grid()
plt.hist(data, bins=bins, alpha=0.5)

plt.show()


# In[ ]: