akhdefo_functions.akhdefo_ts_plot¶
- akhdefo_functions.akhdefo_ts_plot(path_to_shapefile='', dem_path='', point_size=1.0, opacity=0.75, cmap='turbo', Set_fig_MinMax=True, MinMaxRange=[-50, 50], color_field='VEL', user_data_points='', path_saveData_points='', save_plot=False, Fig_outputDir='', VEL_Scale='year')¶
Inputs:
This program used for analysis time-series velocity profiles
user_data_points: provide path to csv. file contains x and y coordinate for points of interest you can generate this file by providing path to path_saveData_points (POI.csv).
This is useful to save mouse click positions to repeat the plots for different datasets for example if you plot several TS profiles for EW velocity product, you can recreate TS for the same exact position by saving POI.csv with path_saveData_points and then use that as input for the another plot such as NS velocity product via setting user_datapoints=”POI.csv”
path_to_shapefile: type path to timeseries shapefile in stack_data/TS folder
dem_path=r”” path to dem raster in geotif fromat
point_size=1.0 size of the sactter plot points
opacity=0.75 transparency of the scater overlay
cmap=”turbo” Matplotlib colormap options
Set_fig_MinMax=True
MinMaxRange=[-50,50] Normalize plot colormap range
color_field=’VEL’ ,”VEL_2D”, ‘VEL_N’, ‘VEL_E’, ‘VELDir_MEA’
user_data_points=””,
path_saveData_points=””
save_plot=False,
Fig_outputDir=’’
VEL_Scale=’year’
Outputs: Interactive figures