I want to have a checkbox (ipywidgets) alongside of my desired columns (pandas dataframe). So whenever there is an available check symbol in the box I want only those values to be present in my dataframe. I only can use ipywidgets and pandas dataframe. Briefly, my intentions could be visualized like in the figure below:
enter image description here
can somebody help me with this?
Related
I have a large (vertically) pandas Dataframe that I would like to display as a nice table with (vertical) scrollbars in a jupyter notebook in vs code.
I have come across post that addresses the solution, but it is 5 years old, so was wondering if there is now a better method. Here is the post:
Pandas DataFrame Table Vertical Scrollbars
Right now I use the following to see all the data:
pd.set_option("display.max_rows", None)
But this shows all the rows which becomes problematic when, say >100 rows.
Just to be clear, i am looking for a scroll bar (as in the image):
I don't think there is a solution for plain Jupyter, but for the successor JupyterLab it's quite easy, not just for DataFrames but for all outputs.
It looks like this:
To enable this view you have to set pd.set_option("display.max_rows", None) and then you have to make a right-click on the blue column and choose Enable Scrolling for Outputs:
I have a dataframe and I'm using PySpark, when I'm showing the data, it not showing very well, like the next image:
enter image description here
How can I fix it? Thank You.
There's not a whole lot you can do. The issue is with line wrap. A common workaround is to use pandas
df.limit(5).toPandas().head()
If you're using a Jupyter Notebook, you can read more choices here: pyspark show dataframe as table with horizontal scroll in ipython notebook
I'm trying to create a some of a complex chart using XlsxWriter, thus I need to add some data labels to my series. The problem is that the data labels I need are different from the series value.
Within Excel is something simple to do:
1) right click format data labels
2) label contains: values from cells
3) I then select the cells I want and it creates the data labels
If there is any way to do this, thanks in advance.
This feature isn't supported since it wasn't part of the original Excel 2007 file format.
There is a feature request for this: XlsxWriter/feature_request/343.
I want to make my display tables bigger so users can see the tables better when that are used in conjunction with Jupyter RISE (slide shows).
How do I do that?
I don't need to show more columns, but rather I want the table to fill up the whole width of the Jupyter RISE slide.
Any idea on how to do that?
Thanks
If df is a pandas.DataFrame object.
You can do:
df.style.set_properties(**{'max-width': '200px', 'font-size': '15pt'})
I'm facing a problem to plot 2 box plots into a same graph to make easier to compare them.
The problems is that each box plot comes from a different dataframe with different lenght, however, both have same columns.
My two data frame are:
'headlamp_water' and 'headlamp_crack'; the column I want to use is called 'Use Period'.
How do I do it?
Any help will be highly appreciated
You can concat() the columns and call the boxplot() method.
pd.concat([headlamp_water['Use Period'], headlamp_crack['Use Period']], axis=1).boxplot()
Using axis=1, you select the columns.