weather-station | open source weather station using a Raspberry Pi

 by   chillwalker R Version: Current License: MIT License

kandi X-RAY | weather-station Summary

kandi X-RAY | weather-station Summary

weather-station is a R library. weather-station has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitLab.

An open source weather station using a Raspberry Pi and DHT-22 sensor as data source. The data is presented in an R Shiny dashboard. See demo at:

            kandi-support Support

              weather-station has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are no watchers for this library.
              It had no major release in the last 6 months.
              weather-station has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of weather-station is current.

            kandi-Quality Quality

              weather-station has no bugs reported.

            kandi-Security Security

              weather-station has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              weather-station is licensed under the MIT License License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              weather-station releases are not available. You will need to build from source code and install.
              Installation instructions are available. Examples and code snippets are not available.

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            weather-station Key Features

            No Key Features are available at this moment for weather-station.

            weather-station Examples and Code Snippets

            No Code Snippets are available at this moment for weather-station.

            Community Discussions


            Python Pandas - read_html No tables Found
            Asked 2022-Feb-23 at 04:08

            I am very new to python and trying to do my own data analysis.

            I am trying to parse data from this website:

            I wanted to get the table in a data frame format.

            I tried this:

            import pandas as pd

            players_list_unclean = pd.read_html('')

            I get the following error:

            raise ValueError("No tables found") ValueError: No tables found

            I can see there is table, but for some reason it is not being read.

            I found another stack overflow solution recommending using selenium:

            pandas read_html ValueError: No tables found

            However, when I tried to implement this code I could not find the table ID in the html page source. Does anyone know another way to do this? I have tried other websites, but I ultimately have the same issue.



            Answered 2022-Feb-23 at 03:10

            If you right click the table and choose inspect, you will see that the "table" on that page is not actually using the html table element.

            From the Pandas documentation:

            This function searches for

            elements and only for and rows and elements within each or element in the table.


            I don't think this will work on this page. Probably need to find another data source.



            returned object is undefined
            Asked 2021-Jan-03 at 08:38

            I am currently working on a weather station that gets data from OpenWeatherMap's API every 10 minutes.

            Every 10 seconds the temperature is published via MQTT in the topic 'local/temperature', so that other systems (for example a heater or air conditioner) can do further actions depending on the temperature.

            Every 10 minutes, parallel to the new data retrieval, the weather operations are also published, also via MQTT.

            Publishing the data every 10 seconds is a requirement of the project, but not important for this case.

            The problem I'm stuck on is this: My request to the API of OWM is done in an extra file, which contains a function that should return the data as an object. At the same time the data is stored in a file, so that in case of a network failure the last local status is saved and can still be used.

            I already write into the file, the 'reading when offline' functionality will be added later on. I have also noticed that the assembleURL() function is actually unnecessary, but I haven't changed that yet.

            I'm still relatively new in JavaScript / Nodejs, but I already have experience in Java and Python, so it may be that I have mixed in something from Java by mistake.

            Can someone please explain to me why the object I return in openWeatherMapCall.js is undefined? I'm thankful for every hint.

            My file weather-station.js that calls the function getData in openWeatherMapCall.js:



            Answered 2021-Jan-02 at 18:14

            Return fetch response from getData and use then on owm.getData as fetch returns a Promise.



            Specifying geom_segment(...x and xend) Values Using Datetime Data
            Asked 2020-Dec-22 at 16:06

            I am trying to make a wind vector plot, and the closest I have come is using ggplot2 and the tutorials here: and here:

            First I'm going to specify some example data that has the same structure as I'm working with...some code is redundant for the example here but I'm leaving it in for continuity with what I'm working with.



            Answered 2020-Dec-22 at 15:44

            I think you are looking for something like this:


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install weather-station

            Connect the sensor to the pi like in the figure below.
            In this section we set up all the software we need on the pi to log data with the sensor. Now we are done with all the basics and the sensor should be set up and ready to go. At this point you can check if everything works by running python 22 4 from inside the examples folder in Adafruit_Python_DHT. If you get a error message Failed to get reading. Try again! don't worry. The DHT-22 seems to be pretty unreliable and a failed reading happens from time to time.
            First update your package list by running: sudo apt-get update
            Install all necessary build tools we need further on by running: sudo apt-get install build-essential python-dev python-openssl git
            Download Adafruit Python DHT22 drivers on your pi by running: git clone
            Move into the downloaded directory and install the drivers by running: cd Adafruit_Python_DHT && sudo python install
            Download this repository to your pi by running git clone
            Schedule a cronjob to save temperature and humidity by executing crontab -e and adding * * * * * /usr/bin/env python <ABSOLUTE-PATH-TO-REPOSITORY>/
            Schedule another cronjob to upload the data every 15 minutes to your webspace by executing crontab -e and adding */15 * * * * scp <ABSOLUTE-PATH-TO>/data.csv <WEBHOSTING-USER>@<WEBHOSTING-HOST>:<PATH-WHERE-YOU-WANT-TO-STORE-YOUR-DATA>
            Now change inside app.R on Line 18 where it says to the url to the data.csv on the server (eg.
            Connect RStudio to your account at and publish the app.
            (Optional) set up your (sub-) domain via frame forwarding to access the shiny server url.


            For any new features, suggestions and bugs create an issue on GitLab. If you have any questions check and ask questions on community page Stack Overflow .
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