```
In [17]:
```import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline
#^^^This line tells Jupyter to render the plots inside the notebook^^^

```
In [18]:
```plt.plot?

```
In [24]:
```x = np.linspace(0, np.pi*2, 10)
y = np.sin(x)
plt.plot(x,y)

```
Out[24]:
```

```
In [25]:
```x = np.linspace(0, np.pi*2, 100)
y = np.sin(x)
plt.plot(x,y)

```
Out[25]:
```

```
In [34]:
```x = np.linspace(0,10,1000) #Wonderful measurements
y = x**np.exp(np.sin(x**2))-np.sin(x*np.log(x)) #Wonderful Calculations
plt.plot(x,y)

```
Out[34]:
```

```
In [37]:
```plt.plot(x,y, label="Some Physics or Something")
plt.xlabel("I dun measured this!")
plt.ylabel("I dun calculated this!")
plt.title("I dun made this plot!")
plt.legend()

```
Out[37]:
```

I leave this here with less information than I could have given so that you can go explore the documentation.

http://matplotlib.org/index.html

Later in the course we will be learning about effective googling, which will aid you in your ability to find out how to do things.

```
In [ ]:
```