I would like to set a min and max value for interact from ipywidgets.
This is all I could find concerning the use of interact. I am essentially trying to do the first example, however with a specified range of values for the slider.
The answer to your question is further down in the docs. Quoting the example for setting up min/max:
interact(f, x=widgets.IntSlider(min=-10,max=30,step=1,value=10))
Related
i am currently working with HeatMapWithTime, it is working fine. But i want more. I am working with geopoints, one per timestamp. After pass over a specific timestamp with the slider, i want that the heatmap stays updated without only showing the current point. So that all points passed also showed up on the map. Is This possible? Is there mabye any tool in python that work better then Folium?
Actually i did not find something that comes close to this, would appreciate any help.
Currently, I'm using the bar_label() new feature from Matplotlib v3.4.0.
My code is as follow and works perfectly :
ax.bar_label(ax.containers[0])
However, I would like to use different values as label. These values are available in a list.
I tried :
ax.bar_label(my_list)
But it doesn't work.
Is there any way to use bar_label() with a custom list ?
As mentionned in the comment by BigBen, labels parameter is the good thing to use.
Be careful to use also container (both are working together !)
I have a question related to ClearML plot logging. We are currently using:
self.task_logger.report_table("TableSpaceName", "Some Info", iteration=0, table_plot=df)
To report tables. They appear under "PLOTS" section. Similarly, we are reporting plotly graphs:
self.task_logger.report_plotly(
title="PlotTitle", iteration=0, series='SeriesName', figure=fig
)
Both work fine. The issue is, each new report_plotly call, instead of replacing the image in the section, creates a new one, and leaves the previous one present too. This cloggs the PLOTS section (tables and figures). The question is, how does one report a plot, so that it's reported in-place (Such as e.g., scalars, where sample plot gets updated in time)?
Turns out that ClearML sorts by "title" param. Hence, having e.g., title="Part 1: someStuff" will be placed before title="Part 2: someOtherStuff".
Disclaimer: I'm part of the ClearML team
Are you providing a fixed title, series and iteration values? If so, this should not happen and is probably a bug
Is there a way using the python-pptx package to change the base units and major values for a date axis? ie being able to set the X axis for a time series chart to be in years, and to only show every 5th year as a label?
I found this link in the docs, but I can't figure out how to set these attributes using python.
Thanks in advance!
That feature is supported by PowerPoint but unfortunately not yet by python-pptx.
The <c:dateAx> child elements responsible for that behavior are <c:majorUnit> and <c:minorUnit>. If you can edit the c:dateAx subtree to add those (or perhaps just change their attribute values if they already exist) then you might be able to produce the behavior you're after. Note that child element order is significant in PresentationML so you can't just append those elements at the end, you'll need to fit them in at the right place (sequence is specified here: https://github.com/scanny/python-pptx/blob/master/pptx/oxml/chart/axis.py#L128).
Is there a the difference between the Pandas plot.density() and plot.kde() function?
According to the Pandas API Reference, there is no difference between plot.density() and plot.kde(), other than their name. These 2 functions do exactly the same thing.
As mentioned by #RichieK in the comments, both API Reference pages take you to the same source code when you click on [source] in the top right corner of the page. Thus confirming the functions are exactly the same.
Just wanted to add, in the source code you can find :
density = kde
See here: https://github.com/pandas-dev/pandas/blob/e8093ba372f9adfe79439d90fe74b0b5b6dea9d6/pandas/plotting/_core.py#L1456