Skip to content

Commit

Permalink
chore: update docs to include blogs (#371)
Browse files Browse the repository at this point in the history
update docs to include blogs

Co-authored-by: Red Giuliano <[email protected]>
  • Loading branch information
Red-Giuliano and Red Giuliano authored Nov 18, 2024
1 parent ed20ff2 commit d5947b5
Show file tree
Hide file tree
Showing 37 changed files with 532 additions and 1 deletion.
70 changes: 70 additions & 0 deletions mintlify-docs/blogs/Buttons in zero-true.mdx
Original file line number Diff line number Diff line change
@@ -0,0 +1,70 @@
---
title: 'Buttons in Zero-True'
---

## Creating a Button

Creating a button in zero-true is very easy. It’s as simple as

```py
import zero-true as zt
button=zt.Button(id=’btn’)
```

![](/blogs/photos/button.png)

## Button Values

Buttons return True when clicked and False otherwise. There is no need to write callbacks, simply reference buttons as follows.

```py
if button.value==True: print("hello") else: print("goodbye")
```

## Button Use Cases

Buttons have a ton of potential use cases in zero-true. The example above uses a button to toggle different printed statements but logic can be used to render more complicated layouts. One of the more common patterns for using buttons in zero-true are gating expensive computations, for example:

```py
import zero_true as zt
import time

def expensive_computation():
time.sleep(30)

if button.value==True:
expensive_computation()

else:
print("Press Button to Run Expensive Computation")
```

Another use case for buttons in zero-true is getting user confirmation before submitting a form. In the example below we save feedback that a user submits in a text area under a .txt file under their name.


![title](/blogs/gifs/button_computation.gif)

```py
import zero_true as zt

#function to write feedback to a file under someone's name
def write_feedback(name,text):
with open(name+'.txt','w+') as file:
file.write(text)

#name input
name_input = zt.TextInput(id='txt_i',label='Write you name')
text_area = zt.TextArea(id='txt_a',label='Write your feedback here')

#submission button
button=zt.Button(id='btn', label= 'Submit you feedback')

if button.value==True and name_input.value:
write_feedback(name_input.value, text_area.value)
```

![](/blogs/photos/button_form.png)

## Customizing your button

You can also add different colors and labels to your button to make things more interesting. Feel free to play around with all the attributes in the documentation.
62 changes: 62 additions & 0 deletions mintlify-docs/blogs/Displaying a Matplotlib Plot in zero-true.mdx

Large diffs are not rendered by default.

48 changes: 48 additions & 0 deletions mintlify-docs/blogs/Displaying a Pandas DataFrame in zero-true.mdx

Large diffs are not rendered by default.

66 changes: 66 additions & 0 deletions mintlify-docs/blogs/Displaying a Plotly Plot in zero-true.mdx

Large diffs are not rendered by default.

57 changes: 57 additions & 0 deletions mintlify-docs/blogs/Range Sliders in zero-true.mdx
Original file line number Diff line number Diff line change
@@ -0,0 +1,57 @@
---
title: 'Range Sliders in zero-true'
---

## Creating a Range Slider

Creating a rage slider in zero-true is simple. Type:

```py
import zero-true as zt
range_slider=zt.RangeSlider(id='slider')
```

![][image1]

Run the cell in your notebook, and watch the range slider appear below.

## Range Slider Settings and Values

Range Sliders have a minimum, maximum, and step in zero-true. The default values for min and max are 0 and 100 and the step is 1 but you can set them to whatever you’d like. The range slider value will return a list structured as follows \[min,max\]. Here is a little snippet to show you how to access the min and max values from your range slider.

```py
max = range_slider.value[0]
min = range_slider.value[1]

print("Min val is "+str(min)+ " and max val is "+str(max))
```

## ![][image2]

## Range Slider Use Cases

Sliders can be used to capture any numeric input. Here is a more fleshed out example including filtering a dataframe:

```py
import pandas as pd
import zero_true as zt

novels_df = pd.read_html("https://en.wikipedia.org/w/index.php?title=Science_Fiction:_The_100_Best_Novels&oldid=1091082777", match='The 100 Best Novels')[0]

#define a slider in zero-true to filter the data
range_slider=zt.RangeSlider(id='range_slider',min=1, max=100,label='Move the Slider to Filter the DataFrame')
if not range_slider.value:
range_slider.value=[0,100]
zt.dataframe(id='df',df=novels_df[range_slider.value[0]:range_slider.value[1]])
```

![title](/blogs/gifs/range slider.gif)


## Customizing your Range Slider

You can also add different colors and labels to your slider to make it to your liking. Feel free to check out the full range of options with the api reference for a slider.

[image1]: <data:image/png;base64,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>

[image2]: <data:image/png;base64,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>
59 changes: 59 additions & 0 deletions mintlify-docs/blogs/Sliders in zero-true.mdx

Large diffs are not rendered by default.

50 changes: 50 additions & 0 deletions mintlify-docs/blogs/Text Areas in zero-true.mdx

Large diffs are not rendered by default.

51 changes: 51 additions & 0 deletions mintlify-docs/blogs/Text Inputs in zero-true.mdx

Large diffs are not rendered by default.

Loading

0 comments on commit d5947b5

Please sign in to comment.