final file restructuring

Matplotlib/Matplotlib.md

@@ -0,0 +1,27 @@
+# THIS GUIDE IS IN ITS VERY EARLY STAGES AND STILL IN DEVELOPMENT. not much thats helpful here right now
+
+# Matplotlib
+
+## Index
+Classic example: gdp per capita and life expectancy
+```python
+# gdp_cap on the x-axis, life_exp on the y-axis
+plt.plot(gdp_cap, life_exp)
+
+# Display the plot
+plt.show()
+```
+result:
+
+### Customization
+label
+xticks
+title
+
+.text
+.grid (True/False)
+
+*common arguments for matplotlib diagrams*
+size
+color
+alpha (opacity)

NumPy.md → NumPy/NumPy.md

@@ -26,6 +26,7 @@ This cheat sheet acts as a intro to Python for data science. ***Contact me [here
 4. [Slicing and Subsetting](#ss)
     - [Examples](#exp)
 5. [Tricks](#tricks)
+6. [Credits](#creds)
 
 </br>
 
@@ -275,3 +276,8 @@ print(x[x < 5])
 
 ```
 
+</br>
+
+## Credits <a name="creds"></a>
+[Datacamp](https://www.datacamp.com/home),
+[Quandl](https://s3.amazonaws.com/quandl-static-content/Documents/Quandl+-+Pandas,+SciPy,+NumPy+Cheat+Sheet.pdf) & [Official docs](https://docs.scipy.org/doc/numpy/)

code/boolean-indexing.py → NumPy/numpy-examples.py

@@ -1,4 +1,4 @@
-# Just a short test file for playing around
+# THIS IS AN UNSTRUCTURED TEST FILE
 import numpy as np
 
 # Index trick when working with two np-arrays
@@ -10,6 +10,7 @@
 # Saves every spot in a except at index where b != 1
 other_other_a = a[b != 1]
 
+# BOOLEAN INDEXING
 x = np.array([4, 6, 8, 1, 2, 6, 9])
 y = x > 5
 print(x[y])