pygmt.blockmean¶
-
pygmt.
blockmean
(table, outfile=None, *, spacing=None, region=None, verbose=None, aspatial=None, coltypes=None, registration=None, **kwargs)[source]¶ Block average (x,y,z) data tables by mean estimation.
Reads arbitrarily located (x,y,z) triples [or optionally weighted quadruples (x,y,z,w)] from a table and writes to the output a mean position and value for every non-empty block in a grid region defined by the
region
andspacing
parameters.Full option list at https://docs.generic-mapping-tools.org/latest/blockmean.html
Aliases:
I = spacing
R = region
V = verbose
a = aspatial
f = coltypes
r = registration
- Parameters
table (pandas.DataFrame or str) – Either a pandas dataframe with (x, y, z) or (longitude, latitude, elevation) values in the first three columns, or a file name to an ASCII data table.
spacing (str) – xinc[unit][+e|n] [/yinc[unit][+e|n]]. xinc [and optionally yinc] is the grid spacing.
region (str or list) – xmin/xmax/ymin/ymax[+r][+uunit]. Specify the region of interest.
outfile (str) – Required if
table
is a file. The file name for the output ASCII file.Select verbosity level [Default is w], which modulates the messages written to stderr. Choose among 7 levels of verbosity:
q - Quiet, not even fatal error messages are produced
e - Error messages only
w - Warnings [Default]
t - Timings (report runtimes for time-intensive algorithms);
i - Informational messages (same as
verbose=True
)c - Compatibility warnings
d - Debugging messages
aspatial (bool or str) – [col=]name[,…]. Control how aspatial data are handled during input and output. Full documentation is at https://docs.generic-mapping-tools.org/latest/gmt.html#aspatial-full.
coltypes (str) – [i|o]colinfo. Specify data types of input and/or output columns (time or geographical data). Full documentation is at https://docs.generic-mapping-tools.org/latest/gmt.html#f-full.
registration (str) – g|p. Force gridline (g) or pixel (p) node registration. [Default is g(ridline)].
- Returns
output (pandas.DataFrame or None) – Return type depends on whether the
outfile
parameter is set:pandas.DataFrame
table with (x, y, z) columns ifoutfile
is not setNone if
outfile
is set (filtered output will be stored in file set byoutfile
)