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---
jupytext:
formats: ipynb,md:myst
text_representation:
extension: .md
format_name: myst
format_version: 0.12
jupytext_version: 1.8.2
kernelspec:
display_name: Python 3
language: python
name: python3
---
# Jupyter notebooks
This is a page to demonstrate the look and feel of Jupyter Notebook elements.
## Hiding elements
### Hide cells
The following cell is hidden.
It also has a `thebe-init` tag which means it will be executed when you initialize Thebe.
```{code-cell} ipython3
:tags: [hide-cell, thebe-init]
# Generate some code that we'll use later on in the page
import numpy as np
import matplotlib.pyplot as plt
np.random.seed(0)
```
### Hide inputs
```{code-cell} ipython3
:tags: [hide-input]
# Hide input
square = np.random.randn(100, 100)
wide = np.random.randn(100, 1000)
fig, ax = plt.subplots()
ax.imshow(square)
fig, ax = plt.subplots()
ax.imshow(wide)
plt.show()
```
### Hide outputs
```{code-cell} ipython3
:tags: [hide-output]
# Hide output
square = np.random.randn(100, 100)
wide = np.random.randn(100, 1000)
fig, ax = plt.subplots()
ax.imshow(square)
fig, ax = plt.subplots()
ax.imshow(wide)
plt.show()
```
### Hide markdown
````{toggle}
```{note}
This is a hidden markdown cell
It should be hidden!
```
````
```{admonition} And here's a toggleable note
:class: dropdown
With a body!
```
+++
### Hide both inputs and outputs
```{code-cell} ipython3
:tags: [hide-output, hide-input]
square = np.random.randn(100, 100)
wide = np.random.randn(100, 1000)
fig, ax = plt.subplots()
ax.imshow(square)
fig, ax = plt.subplots()
ax.imshow(wide)
plt.show()
```
### Hide the whole cell
```{code-cell} ipython3
:tags: [hide-cell]
square = np.random.randn(100, 100)
wide = np.random.randn(100, 1000)
fig, ax = plt.subplots()
ax.imshow(square)
fig, ax = plt.subplots()
ax.imshow(wide)
plt.show()
```
## Enriched outputs
### Math
```{code-cell} ipython3
# You can also include enriched outputs like Math
from IPython.display import Math
Math(r"\sum_{i=0}^n i^2 = \frac{(n^2+n)(2n+1)}{6}")
```
### Pandas DataFrames
```{code-cell} ipython3
import pandas as pd
df = pd.DataFrame([['hi', 'there'], ['this', 'is'], ['a', 'DataFrame']], columns=['Word A', 'Word B'])
df
```
Styled DataFrames (see [the Pandas Styling docs](https://pandas.pydata.org/pandas-docs/stable/user_guide/style.html)).
```{code-cell} ipython3
:tags: [hide-input]
import pandas as pd
from pandas.io.formats.style import Styler
np.random.seed(24)
df = pd.DataFrame({'A': np.linspace(1, 10, 10)})
df = pd.concat([df, pd.DataFrame(np.random.randn(10, 4), columns=list('BCDE'))],
axis=1)
df.iloc[3, 3] = np.nan
df.iloc[0, 2] = np.nan
def color_negative_red(val):
"""
Takes a scalar and returns a string with
the css property `'color: red'` for negative
strings, black otherwise.
"""
color = 'red' if val < 0 else 'black'
return 'color: %s' % color
def highlight_max(s):
'''
highlight the maximum in a Series yellow.
'''
is_max = s == s.max()
return ['background-color: yellow' if v else '' for v in is_max]
Styler(df, uuid="1").\
map(color_negative_red).\
apply(highlight_max).\
set_table_attributes('style="font-size: 10px"')
```
## Interactive outputs
## Stdout
```{code-cell} ipython3
# The ! causes this to run as a shell command
!jupyter -h
```
## Formatting code cells
### Scrolling cell outputs
```{code-cell} ipython3
:tags: [output_scroll]
for ii in range(40):
print(f"this is output line {ii}")
```
### Scrolling cell inputs
```{code-cell} ipython3
:tags: [scroll-input]
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
b = "This line has no meaning"
print(b)
```
|
