Comparing temperature sensors (Dallas DS18B20, Microchip MCP9808, Resistance Temperature Detector (RTD) PT-100, Sensirion SHT(3x, 21).
Cleaning and reformatting complex data for
pandas. The data was stored in text file with list of dictionary and the key as another dictionary
seaborn to display data by using its powerful feature
Using historical data from NOAA website for Mauna Loa Observatory Station to re-construct the graph of atmospheric CO2 since 1960
We will use
requests to get data, extract data then with
pandas to make a dataframe for the final graphing
Turning a toy experiment to publishable-graded graph using pandas, matplotlib
The data from this notebook was from testing discharge-charge with used18650 lithium battery
Data was collected using ESP8266 running Arduino sketch with
ArduinoJson to transmit data in dictionary format. Data was captured on MQTT server using Python script
Current and voltage were measured uing INA216 sensors, TP4056 as the charger
You may see this line
%matplotlib inline when starting plotting a graph by Matplotlib library. In this post, we go deeper to see other backends that power the graphic.
We will look at using Qt5 as the backend support. It is very useful for data exploration or using a seperate window to see data in detail.