A plotting tool with GUI for rosbags converted into pandas dataframes
- pyqt
- pandas
- matplotlib
- numpy
- psutil
conda create -n our_qt_plot_env python=2.7 pyqt pandas matplotlib numpy psutil
conda activate out_qt_plot_env
.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.
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_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