import logging
import warnings
import sys
import itertools
import pandas as pd
from cellpy.utils.batch_tools.batch_core import BasePlotter
from cellpy.utils.batch_tools.batch_experiments import CyclingExperiment
from cellpy.parameters.internal_settings import get_headers_journal, get_headers_summary
from cellpy.exceptions import UnderDefined
from cellpy import prms
hdr_journal = get_headers_journal()
hdr_summary = get_headers_summary()
# print(prms.Batch.backend)
# TODO: add palette to prms.Batch
if prms.Batch.backend == "bokeh":
try:
import bokeh
import bokeh.plotting
import bokeh.palettes
import bokeh.models
import bokeh.layouts
import bokeh.models.annotations
except ImportError:
prms.Batch.backend = "matplotlib"
logging.debug("could not import bokeh -> using matplotlib instead")
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.
size (float): Size of the raw-data file.