plotting Dataframe

[Casyfill]

I am trying to figure out how to plot dataframe the way it plots in the Jupyterlab, but so far I wasn't able to do anything but to print it... will appreciate any help

[Casyfill]

I figured out how to plot df to but wonder if there is any way to make it passive (non-interactive)

[SimonBiggs]

There definitely is. Could you use the following tags in your post to copy in the file you're trying to run?

~~~markdown
your file here
~~~

[Casyfill]

# Title

<section-start >
``````python
from business import load_data, analize
ready_to_report = False
fraud = ''
``````
</section-start >
<variable-string placeholder = "path to dataset" > data_path </variable-string >

# 2. Analysis
<section-button value = "Submit" condition = "data_path" >
``````python

data = load_data(data_path)
print(f'...data loaded. Working on {len(data)} records.')
fraud = analize(data)

if len(fraud) == 0:
    print('Hoorah! No fraud at all!')
else:
    print(f'Detected {len(fraud)} frodulent records\n\n')
    ready_to_report = True

``````
<variable-table>fraud</variable-table>
</section-button >
----
<section-button value = "to PDF" condition = "ready_to_report" >
``````python
print('PDF generated!')
``````
</section-button >

[SimonBiggs]

You can use IPython display to display tables using JupyterLab method.

Here is an example using IPython display as well as ScriptedForms table.

<section-start>

```python
from IPython.display import display
```

</section-start>

## Jupyter pandas DataFrame display

<section-button value="Create and show table">

```python
table = pd.DataFrame(data=[[1,2,3]], columns=['a', 'b', 'c'])
display(table)
```

</section-button>

## ScriptedForms DataFrame display set to readonly

<variable-table inputTypes="{'a': 'readonly', 'b': 'readonly', 'c': 'readonly'}">table</variable-table>

[Casyfill]

Thanks! worked perfectly

…

On Sat, Apr 21, 2018 at 11:48 PM Simon Biggs ***@***.***> wrote: You can use IPython display to display tables using JupyterLab method. <section-start> ```pythonfrom IPython.display import display``` </section-start> ## Jupyter pandas DataFrame display <section-button value="Create and show table"> ```pythontable = pd.DataFrame(data=[[1,2,3]], columns=['a', 'b', 'c'])display(table)``` </section-button> ## ScriptedForms DataFrame display set to readonly <variable-table inputTypes="{'a': 'readonly', 'b': 'readonly', 'c': 'readonly'}">table</variable-table> — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#251 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ACjTpVhDOof3ED7_VyZ_ANvMDiwKGrkeks5tq_2VgaJpZM4TepV3> .

[SimonBiggs]

Good to hear :) On Tue., 24 Apr. 2018, 12:09 am Philipp Kats, <notifications@github.com> wrote:

…

Thanks! worked perfectly On Sat, Apr 21, 2018 at 11:48 PM Simon Biggs ***@***.***> wrote: > You can use IPython display to display tables using JupyterLab method. > > <section-start> > ```pythonfrom IPython.display import display``` > > </section-start> > ## Jupyter pandas DataFrame display > > <section-button value="Create and show table"> > ```pythontable = pd.DataFrame(data=[[1,2,3]], columns=['a', 'b', 'c'])display(table)``` > > </section-button> > ## ScriptedForms DataFrame display set to readonly > > <variable-table inputTypes="{'a': 'readonly', 'b': 'readonly', 'c': 'readonly'}">table</variable-table> > > — > You are receiving this because you authored the thread. > Reply to this email directly, view it on GitHub > < #251 (comment) >, > or mute the thread > < https://github.com/notifications/unsubscribe-auth/ACjTpVhDOof3ED7_VyZ_ANvMDiwKGrkeks5tq_2VgaJpZM4TepV3 > > . > — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#251 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AGQVe8RcZFmU7qZ-hJAQnQMqM5TAnILVks5treCzgaJpZM4TepV3> .

[SimonBiggs]

How has ScriptedForms been treating you these last few days @Casyfill? Any suggestions to ease in new users?