nvd3 | A reusable charting library written in d3.js | Chart library

Just add .ticks(x) to your chart.yAxis function, being x the number of ticks you wish.

For current sample provided, supposing you wish to add 10 ticks, you could use:

Within the addGraph function we could append text to the left of the legend:

It seems that you are confusing the use-cases for PythonVirtualenvOperator and PythonOperator.

If you simply want to run a Python callable in a task (callable_virtualenv() in your case) you can use PythonOperator. In this case, it does not matter if you installed Airflow in a virtual environment, system wide, or using Docker.

What happens in your code is the following: PythonVirtualenvOperator creates another virtual environment (which is completely unrelated to the one in which you run Airflow), installs Airflow into it, and tries to import Variable. But this another Airflow installation is not configured and that is why you get those exceptions. You could set the AIRFLOW_HOME environment variable for this second Airflow installation to the same directory as used by the first Airflow installation, and this should actually work, but it looks like an overkill to me.

So, what you can do is install colorama into the same environment in which you installed Airflow and replace PythonVirtualenvOperator by PythonOperator.

BTW, those print() inside the callable would be redirected into a log file and not printed to terminal, so it probably does not make much sense to use colorama with them.

I am on MacOS 10.15.7 Python version 3.8.2

I'm guessing you used the Python 3 bundled/pre-installed with macOS Catalina.

Some Angular errors can really be difficult to debug especially when they don't appear in dev builds.

Each time I faced such situation I actually rolled back my changes until I found the culprit commit.

If you're doing it after lot of changes, you can use a script with git bisect to identify the faulty lines assuming your commits are small of course.

Ideally, to avoid this "archaeological" search, you should put in place automatic continuous integration from beginning of your project, this way you are sure that deeper checkings from production builds will catch errors earlier.

This Thing is Super Easy with Bootstrap Model Check the Link Above You can Definitely Get Solution from There

I came up with a solution and wanted to share it, in case someone else comes across the same task. I ended up accessing some of the parameters from d through the default route - function(d), while some of the custom ones - directly from $scope.data.

Important: using the d.index, which indicates the place of the data point in the list is critical hear. This makes sure that for any given index the parameters pulled from the function(d) and those of pulled directly, belong to the same data point (see the code below).

Firstly, make sure you are copying the same package-lock.json file that you use to install deps locally, to make sure you have the same dependency tree in your container as you do locally.

COPY package.json package-lock.json /app/

Then, make sure that you are matching the same node/npm version as you run locally (replace 12 with the major version you are running, be it 10, 12, 14 or whatever):

FROM node:12

Each node version is bundled with a specific npm version (latest 12 version comes with npm 6.14.6), you can find the bundled NPM version int he changelogs, https://github.com/nodejs/node/tree/master/doc/changelogs

Additionally, instead of running npm install, you might wanna run npm ci in the container. The latter skips any checks for discrepancy between the lock file and your package.json file and just installs the locked dependency tree, which is not only faster, but will also match your local dep tree exactly.

EDIT:

In addition, this line:

COPY . /app

Would also overwrite node_modules unless you have ignored it via .dockerignore or similar.

Easiest would probably be to add a .dockerignore file to the same folder as your Dockerfile and add lines stating:

Please try using chart.interactiveLayer.tooltip.contentGenerator. Testing your code with this line, I was able to watch values inside data variable, as you can see below:

.

From here you could construct or edit your custom tooltip as you wish. Let me know if it works for you.

[EDIT - SUGGESTION TO INCLUDE EVENT BEHAVIOR]

Looking inside NVD3, I realized that the tooltip's contentGenerator contains all specific code to add events behavior for tooltip. If you take a look at the original tooltip, it uses a class called highlight to mark focused color, but the custom tooltip has not implemented this events and does not highlith focused color.

I know it's a step back, once you have made you own code for thisd custom tooltip, but seems that the only way to achieve this is to rebuild your code to inlcude event behavior. Maybe starting from the orginal code that NVD3 includes to create tooltip usign contetGenerator will help (thats the way I would take, but it's up to you if you prefer to implement this on your current code).

If you want to take a look at this code, please find tooltip.js for your NVD3 version or visit this GitHub link

On this file, if you check at line 83, of just searching for "highlight" on the file, you can see the way event enter() is implemented for all tr elements inside table body, adding the classname highlight.