read_raw_data Namespace Reference

Functions
def	read_data (plt_file)
def	_get_field_names (raw_file)
def	_string_to_numpy_array (s)
def	_line_to_numpy_arrays (line)
def	_read_local_Header (header_file, dim)
def	_read_global_Header (header_file)
def	_read_header (header_file)
def	_combine_boxes (boxes)
def	_read_field (raw_file, field_name)
def	_read_buffer (snapshot, header_fn, _component_names)
def	read_reduced_diags (filename, delimiter=' ')
def	read_reduced_diags_histogram (filename, delimiter=' ')

Variables
	HeaderInfo = namedtuple('HeaderInfo', ['version', 'how', 'ncomp', 'nghost'])

Function Documentation

_combine_boxes()

def read_raw_data._combine_boxes (   boxes )

private

_get_field_names()

def read_raw_data._get_field_names (   raw_file )

private

_line_to_numpy_arrays()

def read_raw_data._line_to_numpy_arrays (   line )

private

_read_buffer()

def read_raw_data._read_buffer (   snapshot,   header_fn,   _component_names  )

private

_read_field()

def read_raw_data._read_field (   raw_file,   field_name  )

private

_read_global_Header()

def read_raw_data._read_global_Header (   header_file )

private

---

USE THIS INSTEAD OF THE PREVIOUS FUNCTION IF Header contains

(x,y,z) min and max vectors instead of zmin and zmax

def _read_local_Header(header_file): with open(header_file, "r") as f: t_snapshot = float(f.readline()) axes_lo = [float(x) for x in f.readline().split()] axes_hi = [float(x) for x in f.readline().split()] local_info = { 't_snapshot' : t_snapshot, 'axes_lo' : axes_lo, 'axes_hi' : axes_hi } return local_info

_read_header()

def read_raw_data._read_header (   header_file )

private

_read_local_Header()

def read_raw_data._read_local_Header (   header_file,   dim  )

private

_string_to_numpy_array()

def read_raw_data._string_to_numpy_array (   s )

private

read_data()

def read_raw_data.read_data

(

plt_file

)

This function reads the raw (i.e. not averaged to cell centers) data
from a WarpX plt file. The plt file must have been written with the
plot_raw_fields option turned on, so that it contains a raw_data
sub-directory. This is only really useful for single-level data.

Arguments:

    plt_file : An AMReX plt_file file. Must contain a raw_data directory.

Returns:

    A list of dictionaries where the keys are field name strings and the values
    are numpy arrays. Each entry in the list corresponds to a different level.

Example:

    >>> data = read_data("plt00016")
    >>> print(data.keys())
    >>> print(data['Ex'].shape)

read_reduced_diags()

def read_raw_data.read_reduced_diags	(		filename,
			delimiter = ' '
	)

Read data written by WarpX Reduced Diagnostics, and return them into Python objects
input:
- filename name of file to open
- delimiter (optional, default ',') delimiter between fields in header.
output:
- metadata_dict dictionary where first key is the type of metadata, second is the field
- data dictionary with data

read_reduced_diags_histogram()

def read_raw_data.read_reduced_diags_histogram	(		filename,
			delimiter = ' '
	)

Modified based on read_reduced_diags
Two extra return objects:
- bin_value: the values of bins
- bin_data: the histogram data values of bins

Variable Documentation

HeaderInfo

read_raw_data.HeaderInfo = namedtuple('HeaderInfo', ['version', 'how', 'ncomp', 'nghost'])