our_qt_plot

A plotting tool with GUI for rosbags converted into pandas dataframes

Pre-requisites

• pyqt
• pandas
• matplotlib
• numpy
• psutil

Conda environment

conda create -n our_qt_plot_env python=2.7 pyqt pandas matplotlib numpy psutil
conda activate out_qt_plot_env

Note:

.pkl files created with different versions are not compatible. When using rosbag pkl files, they will typically be generated with a python 2.7 based pandas / pkl version and thus not be compatible with python 3 based pandas / pkl. The above conda environment should work with ros based files.

Using

Open the program using chosen config file. eg.

./our_qt_plot.py -c config/oqtplot_config_seabed.yaml 

The click on load datafile and open the .pkl file.

Input data structure

input_ds digraph G { "data_file.pkl" -> "full_data_dict"; "full_data_dict" -> "namespace1 dict" [color="orange"]; "full_data_dict" -> "namespace2 dict" [color="orange"]; n1t1 [label="topic1 pandas df"]; n1t2 [label="topic2 pandas df"]; n2t1 [label="topic1 pandas df"]; n2t2 [label="topic2 pandas df"]; "namespace1 dict" -> n1t1 [color="green"]; "namespace1 dict" -> n1t2 [color="green"]; "namespace2 dict" -> n2t1 [color="green"]; "namespace2 dict" -> n2t2 [color="green"]; n1t1t [label="Time\n(index)"]; n1t1f1 [label="Field1\ncolumn"]; n1t1f2 [label="Field2\ncolumn"]; n1t2t [label="Time\n(index)"]; n1t2f1 [label="Field1\ncolumn"]; n1t2f2 [label="Field2\ncolumn"]; n2t1t [label="Time\n(index)"]; n2t1f1 [label="Field1\ncolumn"]; n2t1f2 [label="Field2\ncolumn"]; n2t2t [label="Time\n(index)"]; n2t2f1 [label="Field1\ncolumn"]; n2t2f2 [label="Field2\ncolumn"]; n1t1 -> n1t1t [color="blue"]; n1t1 -> n1t1f1 [color="blue"]; n1t1 -> n1t1f2 [color="blue"]; n1t2 -> n1t2t [color="blue"]; n1t2 -> n1t2f1 [color="blue"]; n1t2 -> n1t2f2 [color="blue"]; n2t1 -> n2t1t [color="blue"]; n2t1 -> n2t1f1 [color="blue"]; n2t1 -> n2t1f2 [color="blue"]; n2t2 -> n2t2t [color="blue"]; n2t2 -> n2t2f1 [color="blue"]; n2t2 -> n2t2f2 [color="blue"]; } input_ds