def __init__(self):
self.logger = logging.getLogger(__name__)
self.headers_normal = get_headers_normal()
self.current_chunk = 0 # use this to set chunks to load
self.mpr_data = None
self.mpr_log = None
self.mpr_settings = None
self.cellpy_headers = get_headers_normal()
def __init__(self):
self.headers_normal = get_headers_normal(
) # should consider to move this to the Loader class
self.current_chunk = 0 # use this to set chunks to load
self.pec_data = None
self.pec_log = None
self.pec_settings = None
self.number_of_header_lines = 32
self.cellpy_headers = get_headers_normal(
) # should consider to move this to the Loader class
def __init__(self):
"""initiates the NdaLoader class"""
# could use __init__(self, cellpydata_object) and
# set self.logger = cellpydata_object.logger etc.
# then remember to include that as prm in "out of class" functions
# self.prms = prms
self.logger = logging.getLogger(__name__)
self.headers_normal = get_headers_normal()
self.headers_global = self.get_headers_global()
self.current_chunk = 0 # use this to set chunks to load
def __init__(self):
"""initiates the class"""
self.logger = logging.getLogger(__name__)
self.headers_normal = get_headers_normal()
self.definition_file = self.pick_definition_file()
self.units = None
self.limits = None
self.headers = None
self.variables = None
self.structure = None
self.parse_definition_file()
def __init__(self):
"""initiates the ArbinLoader class"""
# could use __init__(self, cellpydata_object) and set self.logger = cellpydata_object.logger etc.
# then remember to include that as prm in "out of class" functions
# self.prms = prms
self.logger = logging.getLogger(__name__)
# use the following prm to limit to loading only one cycle or from cycle>x to cycle<x+n
# prms.Reader["limit_loaded_cycles"] = [cycle from, cycle to]
self.headers_normal = get_headers_normal()
self.headers_global = self.get_headers_global()
self.current_chunk = 0 # use this to set chunks to load
from cellpy.parameters.internal_settings import (
ATTRS_CELLPYFILE,
cellpy_limits,
cellpy_units,
get_headers_summary,
get_headers_normal,
get_headers_step_table,
)
CELLPY_FILE_VERSION = 5
MINIMUM_CELLPY_FILE_VERSION = 1
STEP_TABLE_VERSION = 5
RAW_TABLE_VERSION = 5
SUMMARY_TABLE_VERSION = 5
HEADERS_NORMAL = get_headers_normal()
HEADERS_SUMMARY = get_headers_summary()
HEADERS_STEP_TABLE = get_headers_step_table()
class FileID(object):
"""class for storing information about the raw-data files.
This class is used for storing and handling raw-data file information.
It is important to keep track of when the data was extracted from the
raw-data files so that it is easy to know if the hdf5-files used for
@storing "treated" data is up-to-date.
Attributes:
name (str): Filename of the raw-data file.
full_name (str): Filename including path of the raw-data file.
"#D0BBFF",
"#FFFEA3",
"#B0E0E6",
],
"seaborn-dark-palette": [
"#001C7F",
"#017517",
"#8C0900",
"#7600A1",
"#B8860B",
"#006374",
],
}
hdr_summary = get_headers_summary()
hdr_raw = get_headers_normal()
hdr_steps = get_headers_step_table()
hdr_journal = get_headers_journal()
def _hv_bokeh_available():
if not hv_available:
print("You need holoviews. But I cannot load it. Aborting...")
return False
if not bokeh_available:
print("You need Bokeh. But I cannot find it. Aborting...")
return False
return True
def find_column(columns, label=None, end="cycle_index"):
import cellpy
from cellpy import prms
from cellpy.parameters.internal_settings import (
get_headers_summary,
get_headers_step_table,
get_headers_normal,
ATTRS_CELLPYDATA,
ATTRS_DATASET,
)
from cellpy import prmreader
from cellpy.utils import batch, ica
hdr_summary = get_headers_summary()
hdr_steps = get_headers_step_table()
hdr_normal = get_headers_normal()
def update_journal_cellpy_data_dir(pages,
new_path=None,
from_path="PureWindowsPath",
to_path="Path"):
"""Update the path in the pages (batch) from one type of OS to another.
I use this function when I switch from my work PC (windows) to my home
computer (mac).
Args:
pages: the (batch.experiment.)journal.pages object (pandas.DataFrame)
new_path: the base path (uses prms.Paths.cellpydatadir if not given)
from_path: type of path to convert from.
"#D0BBFF",
"#FFFEA3",
"#B0E0E6",
],
"seaborn-dark-palette": [
"#001C7F",
"#017517",
"#8C0900",
"#7600A1",
"#B8860B",
"#006374",
],
}
headers_summary = get_headers_summary()
headers_data = get_headers_normal()
headers_steps = get_headers_step_table()
def _hv_bokeh_available():
if not hv_available:
print("You need holoviews. But I cannot load it. Aborting...")
return False
if not bokeh_available:
print("You need Bokeh. But I cannot find it. Aborting...")
return False
return True
def create_colormarkerlist_for_info_df(info_df,
symbol_label="all",