data-prep | OS code of Data-prep project | Runtime Evironment library

You need to do four things

1. Add bootstrap.min.css

1. Replace

   future_balance.innerHTML = ' + balance;

   with

   future_balance.innerHTML = '' + balance;

   on line 74

1. Replace

   return data.datasets[tooltipItem.datasetIndex].label + ': + tooltipItem.yLabel;

   with

   return data.datasets[tooltipItem.datasetIndex].label + ':' + tooltipItem.yLabel;

   on line 148

1. Replace

   return ' + value;

   with

   return '' + value;

   on line 166

From your updated question, I could understand your current issue. In the case of your script, how about modifying the function updateSelect as follows?

From experience, the reason why the order can change is dependent on the framework you are using to load in images. OpenCV in particular orders the channels in BGR format because of mostly historical reasons that are now outdated. Because of this, we are unfortunately stuck with this design choice. Images in the regular RGB format can be seen with scikit-image, matplotlib and Pillow.

In fact, if you look at the load_video function, it uses OpenCV to open up a video so the frames coming in are BGR format. Therefore, the swapping of channels is mandatory to get it to RGB format:

Are you sure you even have pandas installed? Unless Zeppelin uses its own Python, that would be the problem. Give pip3 install pandas a shot.

Is this what you're trying to accomplish? product_names = [a.text for a in rec_list.select("div.card-headers > a")]

O, boy. Please consider using pyenv. You will be able to use as many python versions as you need.

As with all functions in networkd3, sankeyNetwork() determines the x and y positions of the nodes algorithmically based on their relationship to other nodes in the network, it does not read in x and y values directly from the data.

The reason your version of code does not result in the same as the code you copied is because of how you factor and then coerce to integer the target and source node names in the links data frame separately. By doing so, the values that you associate with a given node in the source or target column are not in sync, and therefore your links are totally different than what you began with.

Take a look at your links data frame and compare to the df data frame you begin with. For instance, the first row/link in your links data frame is a->c, but your target and source columns identify that as 0->0. Likewise the second row/link is b->d, but your target and source columns identify that as 1->1. And so forth...

I will suggest you change the transform() method of the MyDecorrelator's class to the code below and let see the result,

The CMD is looking into wrong path, it should be usr not user.