****************** Wind Rose Diagram ****************** Description =========== A wind rose diagram graphically displays the wind speed and wind direction at a particular location over a period of time. The diagram consists of radiating spokes that represent the wind direction in terms of the cardinal wind directions of North, East, South, and West. Each spoke indicates how often the wind blows from each direction and the color bands on each spoke represents the wind speed range (bins). The wind rose diagram is based on a polar coordinate system, with data plotted at a distance away from the origin at an angle that is relative to North. .. image:: figure/wind_rose_custom.png Example ======= Sample Data ----------- The data used to create a wind rose plot is columnar text output from MET for the MPR (matched pair) line type. The sample data used to create these plots is available in the METplotpy repository, where the wind rose diagram test scripts are located: *$METPLOTPY_BASE/test/wind rose_diagram/point_stat_mpr.txt* *$METPLOTPY_BASE* is the directory where the METplotpy code is saved: *$METPLOTPY_BASE* is the directory where the METplotpy code is saved: e.g. */usr/path/to/METplotpy* if the source code was cloned or forked from the Github repository or */usr/path/to/METplotpy-x.y.z* if the source code was downloaded as a zip or gzip'd tar file from the Release link of the Github repository. The *x.y.z* is the release number. Configuration Files ------------------- The wind rose diagram utilizes YAML configuration files to indicate where input data is located and to set plot attributes. These plot attributes correspond to values that can be set via the METviewer tool. YAML is a recursive acronym for "YAML Ain't Markup Language" and according to `yaml.org `_, it is a "human-friendly data serialization language. It is commonly used for configuration files and in applications where data is being stored or transmitted. Two configuration files are required. The first is a default configuration file, **wind_rose_diagram_defaults.yaml**, which is found in the *$METPLOTPY_BASE/metplotpy/plots/config* directory. *$METPLOTPY_BASE* indicates the directory where the METplotpy source code has been saved. All default configuration files are located in the *$METPLOTPY_BASE/metplotpy/plots/config* directory. **Default configuration files are automatically loaded by the plotting code and do not need to be explicitly specified when generating a plot**. The second required configuration file is a user-supplied “custom” configuration file. This second configuration file is used to customize/override the default settings in the **wind_rose_defaults.yaml** file. The custom configuration file can be an empty file if all default settings are to be applied. METplus Configuration ===================== Default Configuration File -------------------------- The following is the *mandatory*, **wind_rose_defaults.yaml** configuration file, which serves as a starting point for creating a wind rose diagram plot. **NOTE**: This default configuration file is automatically loaded by **wind_rose_diagram.py.** .. literalinclude:: ../../metplotpy/plots/config/wind_rose_defaults.yaml In the default config file, logging is set to stdout and the log level is ERROR (i.e. only log messages of type ERROR will be logged). If the log_filename and log_level are not specified in the custom configuration file, these settings will be used. Custom Configuration File ------------------------- As previously mentioned, a second *mandatory* configuration file is required, which is used to customize the settings to the wind rose diagram plot. The **wind_rose_custom.yaml** file is included with the source code and looks like the following: .. literalinclude:: ../../test/wind_rose/wind_rose_custom.yaml Copy this custom config file from the directory where the source code was saved to the working directory: .. code-block:: ini cp $METPLOTPY_BASE/test/wind_rose/wind_rose_custom.yaml $WORKING_DIR/wind_rose_custom.yaml Notice that this has many of the same settings found in the the wind_rose_default.yaml file. We will simply change the title of the custom plot to customize the plot. **NOTE**: You do not need to include all the configuration settings in your custom configuration file. You only need to include the settings you wish to override. Modify the *stat_input* setting in the *$METPLOTPY_BASE/test/wind_rose/wind_rose_custom.yaml* file to explicitly point to the *$METPLOTPY_BASE/test/wind_rose/wind_rose* directory (where the custom config files and sample data reside). Replace the relative path *./point_stat_mpr.txt* with the full path *$METPLOTPY_BASE/test/wind_rose/point_stat_mpr.txt* (including replacing *$METPLOTPY_BASE* with the full path to the METplotpy installation on the system). Modify the *plot_filename* setting to point to the output path where the plot will be saved, including the name of the plot. Modify the title from: *title: Wind Rose* to *title: Custom Wind Rose* Uncomment the entry (indicated by a '#' symbol in front of it; remove the '#' symbol to uncomment) for the **stat_input** setting to indicate where the input data is located and indicate the full path and name of the input data file. For example: *stat_input: /username/myworkspace/METplotpy/test/wind_rose/point_stat_mpr.txt* *plot_filename: /username/working_dir/output_plots/wind_rose_custom.png* *title: Custom Wind Rose* This is where */username/myworkspace/METplotpy* is $METPLOTPY_BASE and */username/working_dir* is $WORKING_DIR. Make sure that the $WORKING_DIR directory that is specified exists and has the appropriate read and write permissions. The path listed for *plot_filename* may be changed to the output directory of one’s choosing. If this is not set, then the *plot_filename* setting specified in the *$METPLOTPY_BASE/metplotpy/plots/config/wind_rose_defaults.yaml* configuration file will be used. To save the intermediate **.points1** file (used by METviewer and useful for debugging), set the *dump_points_1* setting to True. Uncomment or add (if it doesn't exist) the *points_path* setting: *dump_points_1: 'True'* *points_path: '/dir_to_save_points1_file'* Replace the */dir_to_save_points1_file* to the same directory where the **.points1** file is saved. If *points_path* is commented out (indicated by a '#' symbol in front of it), remove the '#' symbol to uncomment the *points_path* so that it will be used by the code. Make sure that this directory exists and has the appropriate read and write permissions. **NOTE**: the *points_path* setting is **optional** and does not need to be defined in the configuration file unless saving the intermediate **.points1** file is desired. To save the log output to a file, uncomment the *log_filename* entry and specify the path and name of the log file. Select a directory with the appropriate read and write privileges. To modify the verbosity of logging than what is set in the default config file, uncomment the *log_level* entry and specify the log level (debug and info are higher verbosity, warning and error are lower verbosity). Using Defaults -------------- To use the *default* settings defined in the **wind_rose_defaults.yaml** file, specify a minimal custom configuration file (**minimal_wind_rose_defaults.yaml**), which consists of only a comment block, but it can be any empty file (write permissions for the output filename path corresponding to the *plot_filename* setting in the default configuration file will be needed. Otherwise, specify a *plot_filename* in the **minimal_wind_rose.yaml** file): .. literalinclude:: ../../test/wind_rose/minimal_wind_rose.yaml Copy this file to the working directory: .. code-block:: ini cp $METPLOTPY_BASE/test/wind_rose/minimal_wind_rose.yaml $WORKING_DIR/minimal_wind_rose.yaml Add the *stat_input* (input data) and *plot_filename* (output file/plot path) settings to the *$WORKING_DIR/minimal_wind_rose.yaml* file (anywhere below the comment block). The *stat_input* setting explicitly indicates where the sample data and custom configuration files are located. Set the *stat_input* to *$METPLOTPY_BASE/test/wind_rose/point_stat_mpr.txt* and set the *plot_filename* to *$WORKING_DIR/output_plots/wind_rose_default.png*: *stat_input: $METPLOTPY_BASE/test/wind_rose/point_stat_mpr.txt* *plot_filename: $WORKING_DIR/output_plots/wind_rose_default.png* *$WORKING_DIR* is the working directory where all of the custom configuration files are being saved. **NOTE**: The *plot_filename* (output directory) may be specified to a directory other than the *$WORKING_DIR/output_plots*, as long as it is an existing directory where the author has read and write permissions. To save the intermediate **.points1** file (used by METviewer and useful for debugging), add the following lines to the **minimal_wind_rose.yaml** file (anywhere below the comment block): *dump_points_1: 'True'* *points_path: '/dir_to_save_points1_file'* Replace the */dir_to_save_points1_file* to the same directory where the **.points** file is saved. Make sure that this directory exists and has the appropriate read and write permissions. Run from the Command Line ========================= To generate a default performance diagram (i.e. using settings in the **wind_rose_defaults.yaml** configuration file), perform the following: * If using the conda environment, verify the conda environment is running and has has the required Python packages outlined in the `requirements section. `_ * Set the METPLOTPY_BASE environment variable to point to *$METPLOTPY_BASE*. For the ksh environment: .. code-block:: ini export METPLOTPY_BASE=$METPLOTPY_BASE For the csh environment: .. code-block:: ini setenv METPLOTPY_BASE $METPLOTPY_BASE Replacing the $METPLOTPY_BASE with the directory where the METplotpy source code was saved. * Run the following on the command line: .. code-block:: ini python $METPLOTPY_BASE/metplotpy/plots/wind_rose/wind_rose.py $WORKING_DIR/minimal_wind_rose.yaml This will create a PNG file, **wind_rose_default.png**, in the directory that was specified in the *plot_filename* setting of the **minimal_wind_rose.yaml** config file: .. image:: figure/wind_rose_default.png To generate the slightly modified, **customized** plot, re-run the above command using the **wind_rose_custom.yaml** file: .. code-block:: ini python $METPLOTPY_BASE/metplotpy/plots/wind_rose/wind_rose.py $WORKING_DIR/wind_rose_custom.yaml .. image:: figure/wind_rose_custom.png * A **wind_rose_custom.png** output file will be created in the directory that was specified in the *plot_filename* config setting in the **custom_performance_diagram.yaml** config file. The title will match what you set in the *title* setting of your custom_performance_diagram.yaml file.