A Simple Example
This notebook shows the last time it was run, displays a dataframe, and then plots it.
If you run mkdocs serve in the directory above this, and make changes here you'll see your docs update a moment after saving the notebook.
import pandas as pd
import numpy as np
import datetime
%matplotlib inline
The last run time
print(f"This notebook last ran at {datetime.datetime.now()}")
This notebook last ran at 2018-09-18 09:47:56.497449
Let's make a dataframe
df = pd.DataFrame({"time":np.arange(0, 10, 0.1)})
df["amplitude"] = np.sin(df.time)
df
| time | amplitude | |
|---|---|---|
| 0 | 0 | 0 |
| 1 | 0.1 | 0.0998334 |
| 2 | 0.2 | 0.198669 |
| 3 | 0.3 | 0.29552 |
| 4 | 0.4 | 0.389418 |
And plot it :)
df.plot()
<matplotlib.axes._subplots.AxesSubplot at 0x1187f6eb8>
