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

# In[1]:


from IPython.core.display import HTML
def css_styling():
    sheet = '../css/custom.css'
    styles = open(sheet, "r").read() 
    return HTML(styles)
css_styling()


# # Basics Refresher

# This exercise centres  around the loading and plotting data from a file while using Numpy functions. 
# You have been given two dimensional data within three csv files and are required to plot the average, maximum and minimum of the columns of that data. 
# 
# 
# Looping over the filenames given:
# 1. Read the file-name using the Numpy `loadtxt` function (use `help` if you've forgotten how this works!)
# 2. Find the mean, max and minimum of each column in the data using numpy functions (use `axis=0`) 
# 3. Plot the mean minimum and maximum of each column with respect to the row number
#     * A neat way to do this could be to use a 1 by 3 layout of subplots, i.e. `fig.add_subplot(1, 3, i)`, $i \in [1, 2, 3]$ for plotting the mean, max and min
#     * Try adding a meaningful label to the y axes

# In[2]:


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


# In[3]:


filename = ['data/inflammation-01.csv','data/inflammation-02.csv' ,'data/inflammation-03.csv'] 


# In[4]:


# Implement your work here:


# ## [Solutions](../soln/00-Basics_refresher.ipynb)