specfile
: Reading SpecFile¶
This module is a cython binding to wrap the C SpecFile library, to access SpecFile data within a python program.
Documentation for the original C library SpecFile can be found on the ESRF website: The manual for the SpecFile Library
Examples¶
Start by importing SpecFile
and instantiate it:
from silx.io.specfile import SpecFile
sf = SpecFile("test.dat")
A SpecFile
instance can be accessed like a dictionary to obtain a
Scan
instance.
If the key is a string representing two values
separated by a dot (e.g. "1.2"
), they will be treated as the scan number
(#S
header line) and the scan order:
# get second occurrence of scan "#S 1"
myscan = sf["1.2"]
# access scan data as a numpy array
nlines, ncolumns = myscan.data.shape
If the key is an integer, it will be treated as a 0-based index:
first_scan = sf[0]
second_scan = sf[1]
It is also possible to browse through all scans using SpecFile
as
an iterator:
for scan in sf:
print(scan.scan_header_dict['S'])
MCA spectra can be selectively loaded using an instance of MCA
provided by Scan
:
# Only one MCA spectrum is loaded in memory
second_mca = first_scan.mca[1]
# Iterating trough all MCA spectra in a scan:
for mca_data in first_scan.mca:
print(sum(mca_data))
Exceptions¶
SfError
SfErrMemoryAlloc
SfErrFileOpen
SfErrFileClose
SfErrFileRead
SfErrFileWrite
SfErrLineNotFound
SfErrScanNotFound
SfErrHeaderNotFound
SfErrLabelNotFound
SfErrMotorNotFound
SfErrPositionNotFound
SfErrLineEmpty
SfErrUserNotFound
SfErrColNotFound
SfErrMcaNotFound
-
class
silx.io.specfile.
MCA
¶ Parameters: scan (
Scan
) – Parent Scan instanceVariables: - calibration – MCA calibration \((a, b, c)\) (as in
\(a + b x + c x²\)) from
#@CALIB
scan header. - channels – MCA channels list from
#@CHANN
scan header. In the absence of a#@CHANN
header, this attribute is a list[0, …, N-1]
whereN
is the length of the first spectrum. In the absence of MCA spectra, this attribute defaults toNone
.
This class provides access to Multi-Channel Analysis data. A
MCA
instance can be indexed to access 1D numpy arrays representing single MCA spectra.To create a
MCA
instance, you must provide a parentScan
instance, which in turn will provide a reference to the originalSpecFile
instance:sf = SpecFile("/path/to/specfile.dat") scan2 = Scan(sf, scan_index=2) mcas_in_scan2 = MCA(scan2) for i in len(mcas_in_scan2): mca_data = mcas_in_scan2[i] ... # do some something with mca_data (1D numpy array)
A more pythonic way to do the same work, without having to explicitly instantiate
scan
andmcas_in_scan
, would be:sf = SpecFile("specfilename.dat") # scan2 from previous example can be referred to as sf[2] # mcas_in_scan2 from previous example can be referred to as scan2.mca for mca_data in sf[2].mca: ... # do some something with mca_data (1D numpy array)
- calibration – MCA calibration \((a, b, c)\) (as in
\(a + b x + c x²\)) from
-
class
silx.io.specfile.
Scan
¶ Parameters: - specfile (
SpecFile
) – Parent SpecFile from which this scan is extracted. - scan_index (int) – Unique index defining the scan in the SpecFile
Interface to access a SpecFile scan
A scan is a block of descriptive header lines followed by a 2D data array.
Following three ways of accessing a scan are equivalent:
sf = SpecFile("/path/to/specfile.dat") # Explicit class instantiation scan2 = Scan(sf, scan_index=2) # 0-based index on a SpecFile object scan2 = sf[2] # Using a "n.m" key (scan number starting with 1, scan order) scan2 = sf["3.1"]
-
data
¶ Scan data as a 2D numpy.ndarray with the usual attributes (e.g. data.shape).
The first index is the detector, the second index is the sample index.
-
data_column_by_name
(self, label)¶ Returns a data column
Parameters: label (str) – Label of data column to retrieve, as defined on the #L
line of the scan header.Returns: Line data as a 1D array of doubles Return type: numpy.ndarray
-
data_line
(self, line_index)¶ Returns data for a given line of this scan.
Note
A data line returned by this method, corresponds to a data line in the original specfile (a series of data points, one per detector). In the
data
array, this line index corresponds to the index in the second dimension (~ column) of the array.Parameters: line_index (int) – Index of data line to retrieve (starting with 0) Returns: Line data as a 1D array of doubles Return type: numpy.ndarray
-
file_header
¶ List of raw file header lines (as a list of strings).
-
file_header_dict
¶ Dictionary of file header strings, keys without the leading
#
(e.g.file_header_dict["F"]
).
-
header
¶ List of raw header lines (as a list of strings).
This includes the file header, the scan header and possibly a MCA header.
-
index
¶ Unique scan index 0 - len(specfile)-1
This attribute is implemented as a read-only property as changing its value may cause nasty side-effects (such as loading data from a different scan without updating the header accordingly.
-
labels
¶ List of data column headers from
#L
scan header
-
mca
¶ MCA data in this scan.
Each multichannel analysis is a 1D numpy array. Metadata about MCA data is to be found in
mca_header
.Return type: MCA
-
mca_header_dict
¶ Dictionary of MCA header strings, keys without the leading
#@
(e.g.mca_header_dict["CALIB"]
).
-
motor_names
¶ List of motor names from the
#O
file header line.
-
motor_position_by_name
(self, name)¶ Returns the position for a given motor
Parameters: name (str) – Name of motor, as defined on the #O
line of the file header.Returns: Motor position Return type: float
-
motor_positions
¶ List of motor positions as floats from the
#P
scan header line.
-
number
¶ First value on #S line (as int)
-
order
¶ Order can be > 1 if the same number is repeated in a specfile
-
record_exists_in_hdr
(self, record)¶ Check whether a scan header line exists.
This should be used before attempting to retrieve header information using a C function that may crash with a segmentation fault if the header isn’t defined in the SpecFile.
Parameters: record (str) – single upper case letter corresponding to the header you want to test (e.g. L
for labels)Returns: True or False Return type: boolean
-
scan_header
¶ List of raw scan header lines (as a list of strings).
-
scan_header_dict
¶ Dictionary of scan header strings, keys without the leading``#`` (e.g.
scan_header_dict["S"]
). Note: this does not include MCA header lines starting with#@
.
- specfile (
-
exception
silx.io.specfile.
SfErrColNotFound
¶
-
exception
silx.io.specfile.
SfErrFileClose
¶
-
exception
silx.io.specfile.
SfErrFileOpen
¶
-
exception
silx.io.specfile.
SfErrFileRead
¶
-
exception
silx.io.specfile.
SfErrFileWrite
¶
-
exception
silx.io.specfile.
SfErrHeaderNotFound
¶
-
exception
silx.io.specfile.
SfErrLabelNotFound
¶
-
exception
silx.io.specfile.
SfErrLineEmpty
¶
-
exception
silx.io.specfile.
SfErrLineNotFound
¶
-
exception
silx.io.specfile.
SfErrMcaNotFound
¶
-
exception
silx.io.specfile.
SfErrMemoryAlloc
¶
-
exception
silx.io.specfile.
SfErrMotorNotFound
¶
-
exception
silx.io.specfile.
SfErrPositionNotFound
¶
-
exception
silx.io.specfile.
SfErrScanNotFound
¶
-
exception
silx.io.specfile.
SfErrUserNotFound
¶
-
exception
silx.io.specfile.
SfError
¶ Base exception inherited by all exceptions raised when a C function from the legacy SpecFile library returns an error code.
-
exception
silx.io.specfile.
SfNoMcaError
¶ Custom exception raised when
SfNoMca()
returns-1
-
class
silx.io.specfile.
SpecFile
(filename)¶ Parameters: filename – Path of the SpecFile to read This class wraps the main data and header access functions of the C SpecFile library.
-
columns
(self, scan_index)¶ Return number of columns in a scan from the
#N
header line (without#N
and scan number)Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: Number of columns in scan from #N
lineReturn type: int
-
command
(self, scan_index)¶ Return
#S
line (without#S
and scan number)Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: S line Return type: str
-
data
(self, scan_index)¶ Returns data for the specified scan index.
Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: Complete scan data as a 2D array of doubles Return type: numpy.ndarray
-
data_column_by_name
(self, scan_index, label)¶ Returns data column for the specified scan index and column label.
Parameters: - scan_index (int) – Unique scan index between
0
andlen(self)-1
. - label (str) – Label of data column, as defined in the
#L
line of the scan header.
Returns: Data column as a 1D array of doubles
Return type: numpy.ndarray
- scan_index (int) – Unique scan index between
-
date
(self, scan_index=0)¶ Return date from
#D
lineParameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: Date from #D
lineReturn type: str
-
file_header
(self, scan_index=0)¶ Return list of file header lines.
A file header contains all lines between a
#F
header line and a#S
header line (start of scan). We need to specify a scan number because there can be more than one file header in a given file. A file header applies to all subsequent scans, until a new file header is defined.Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: List of raw file header lines Return type: list of str
-
get_mca
(self, scan_index, mca_index)¶ Return one MCA spectrum
Parameters: - scan_index (int) – Unique scan index between
0
andlen(self)-1
. - mca_index (int) – Index of MCA in the scan
Returns: MCA spectrum
Return type: 1D numpy array
- scan_index (int) – Unique scan index between
-
index
(self, scan_number, scan_order=1)¶ Returns scan index from scan number and order.
Parameters: - scan_number (int) – Scan number (possibly non-unique).
- scan_order (int default 1) – Scan order.
Returns: Unique scan index
Return type: int
Scan indices are increasing from
0
tolen(self)-1
in the order in which they appear in the file. Scan numbers are defined by users and are not necessarily unique. The scan order for a given scan number increments each time the scan number appears in a given file.
-
keys
(self)¶ Returns list of scan keys (eg
['1.1', '2.1',...]
).Returns: list of scan keys Return type: list of strings
-
labels
(self, scan_index)¶ Return all labels from
#L
lineParameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: All labels from #L
lineReturn type: list of strings
-
list
(self)¶ Returns list (1D numpy array) of scan numbers in SpecFile.
Returns: list of scan numbers (from `` #S`` lines) in the same order as in the original SpecFile (e.g [1, 1, 2, 3, …]
).Return type: numpy array
-
mca_calibration
(self, scan_index)¶ Return MCA calibration in the form \(a + b x + c x²\)
Raise a KeyError if there is no
@CALIB
line in the scan header.Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: MCA calibration as a list of 3 values \((a, b, c)\) Return type: list of floats
-
motor_names
(self, scan_index=0)¶ Return all motor names from
#O
linesParameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.If not specified, defaults to 0 (meaning the function returns motors names associated with the first scan). This parameter makes a difference only if there are more than on file header in the file, in which case the file header applies to all following scans until a new file header appears.Returns: All motor names Return type: list of strings
-
motor_position_by_name
(self, scan_index, name)¶ Return motor position
Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: Specified motor position Return type: double
-
motor_positions
(self, scan_index)¶ Return all motor positions
Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: All motor positions Return type: list of double
-
number
(self, scan_index)¶ Returns scan number from scan index.
Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: User defined scan number. Return type: int
-
number_of_mca
(self, scan_index)¶ Return number of mca spectra in a scan.
Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: Number of mca spectra. Return type: int
-
order
(self, scan_index)¶ Returns scan order from scan index.
Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: Scan order (sequential number incrementing each time a non-unique occurrence of a scan number is encountered). Return type: int
-
scan_header
(self, scan_index)¶ Return list of scan header lines.
Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: List of raw scan header lines Return type: list of str
-
-
silx.io.specfile.
is_specfile
(filename)¶ Test if a file is a SPEC file, by checking if one of the first two lines starts with #F (SPEC file header) or #S (scan header).
Parameters: filename (str) – File path Returns: True if file is a SPEC file, False if it is not a SPEC file Return type: bool
-
class
silx.io.specfile.
SpecFile
(filename) Parameters: filename – Path of the SpecFile to read This class wraps the main data and header access functions of the C SpecFile library.
-
__len__
()¶ Return the number of scans in the SpecFile
-
__iter__
()¶ Return the next
Scan
in a SpecFile each time this method is called.This usually happens when the python built-in function
next()
is called with aSpecFile
instance as a parameter, or when aSpecFile
instance is used as an iterator (e.g. in afor
loop).
-
__getitem__
()¶ Return a
Scan
object.This special method is called when a
SpecFile
instance is accessed as a dictionary (e.g.sf[key]
).Parameters: key (int or str) – 0-based scan index or "n.m"
key, wheren
is the scan number defined on the#S
header line andm
is the orderReturns: Scan defined by its 0-based index or its "n.m"
keyReturn type: Scan
-
columns
(self, scan_index) Return number of columns in a scan from the
#N
header line (without#N
and scan number)Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: Number of columns in scan from #N
lineReturn type: int
-
command
(self, scan_index) Return
#S
line (without#S
and scan number)Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: S line Return type: str
-
data
(self, scan_index) Returns data for the specified scan index.
Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: Complete scan data as a 2D array of doubles Return type: numpy.ndarray
-
data_column_by_name
(self, scan_index, label) Returns data column for the specified scan index and column label.
Parameters: - scan_index (int) – Unique scan index between
0
andlen(self)-1
. - label (str) – Label of data column, as defined in the
#L
line of the scan header.
Returns: Data column as a 1D array of doubles
Return type: numpy.ndarray
- scan_index (int) – Unique scan index between
-
date
(self, scan_index=0) Return date from
#D
lineParameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: Date from #D
lineReturn type: str
-
file_header
(self, scan_index=0) Return list of file header lines.
A file header contains all lines between a
#F
header line and a#S
header line (start of scan). We need to specify a scan number because there can be more than one file header in a given file. A file header applies to all subsequent scans, until a new file header is defined.Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: List of raw file header lines Return type: list of str
-
get_mca
(self, scan_index, mca_index) Return one MCA spectrum
Parameters: - scan_index (int) – Unique scan index between
0
andlen(self)-1
. - mca_index (int) – Index of MCA in the scan
Returns: MCA spectrum
Return type: 1D numpy array
- scan_index (int) – Unique scan index between
-
index
(self, scan_number, scan_order=1) Returns scan index from scan number and order.
Parameters: - scan_number (int) – Scan number (possibly non-unique).
- scan_order (int default 1) – Scan order.
Returns: Unique scan index
Return type: int
Scan indices are increasing from
0
tolen(self)-1
in the order in which they appear in the file. Scan numbers are defined by users and are not necessarily unique. The scan order for a given scan number increments each time the scan number appears in a given file.
-
keys
(self) Returns list of scan keys (eg
['1.1', '2.1',...]
).Returns: list of scan keys Return type: list of strings
-
labels
(self, scan_index) Return all labels from
#L
lineParameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: All labels from #L
lineReturn type: list of strings
-
list
(self) Returns list (1D numpy array) of scan numbers in SpecFile.
Returns: list of scan numbers (from `` #S`` lines) in the same order as in the original SpecFile (e.g [1, 1, 2, 3, …]
).Return type: numpy array
-
mca_calibration
(self, scan_index) Return MCA calibration in the form \(a + b x + c x²\)
Raise a KeyError if there is no
@CALIB
line in the scan header.Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: MCA calibration as a list of 3 values \((a, b, c)\) Return type: list of floats
-
motor_names
(self, scan_index=0) Return all motor names from
#O
linesParameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.If not specified, defaults to 0 (meaning the function returns motors names associated with the first scan). This parameter makes a difference only if there are more than on file header in the file, in which case the file header applies to all following scans until a new file header appears.Returns: All motor names Return type: list of strings
-
motor_position_by_name
(self, scan_index, name) Return motor position
Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: Specified motor position Return type: double
-
motor_positions
(self, scan_index) Return all motor positions
Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: All motor positions Return type: list of double
-
number
(self, scan_index) Returns scan number from scan index.
Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: User defined scan number. Return type: int
-
number_of_mca
(self, scan_index) Return number of mca spectra in a scan.
Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: Number of mca spectra. Return type: int
-
order
(self, scan_index) Returns scan order from scan index.
Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: Scan order (sequential number incrementing each time a non-unique occurrence of a scan number is encountered). Return type: int
-
scan_header
(self, scan_index) Return list of scan header lines.
Parameters: scan_index (int) – Unique scan index between 0
andlen(self)-1
.Returns: List of raw scan header lines Return type: list of str
-
-
class
silx.io.specfile.
Scan
Parameters: - specfile (
SpecFile
) – Parent SpecFile from which this scan is extracted. - scan_index (int) – Unique index defining the scan in the SpecFile
Interface to access a SpecFile scan
A scan is a block of descriptive header lines followed by a 2D data array.
Following three ways of accessing a scan are equivalent:
sf = SpecFile("/path/to/specfile.dat") # Explicit class instantiation scan2 = Scan(sf, scan_index=2) # 0-based index on a SpecFile object scan2 = sf[2] # Using a "n.m" key (scan number starting with 1, scan order) scan2 = sf["3.1"]
-
data
Scan data as a 2D numpy.ndarray with the usual attributes (e.g. data.shape).
The first index is the detector, the second index is the sample index.
-
data_column_by_name
(self, label) Returns a data column
Parameters: label (str) – Label of data column to retrieve, as defined on the #L
line of the scan header.Returns: Line data as a 1D array of doubles Return type: numpy.ndarray
-
data_line
(self, line_index) Returns data for a given line of this scan.
Note
A data line returned by this method, corresponds to a data line in the original specfile (a series of data points, one per detector). In the
data
array, this line index corresponds to the index in the second dimension (~ column) of the array.Parameters: line_index (int) – Index of data line to retrieve (starting with 0) Returns: Line data as a 1D array of doubles Return type: numpy.ndarray
-
file_header
List of raw file header lines (as a list of strings).
-
file_header_dict
Dictionary of file header strings, keys without the leading
#
(e.g.file_header_dict["F"]
).
-
header
List of raw header lines (as a list of strings).
This includes the file header, the scan header and possibly a MCA header.
-
index
Unique scan index 0 - len(specfile)-1
This attribute is implemented as a read-only property as changing its value may cause nasty side-effects (such as loading data from a different scan without updating the header accordingly.
-
labels
List of data column headers from
#L
scan header
-
mca
MCA data in this scan.
Each multichannel analysis is a 1D numpy array. Metadata about MCA data is to be found in
mca_header
.Return type: MCA
-
mca_header_dict
Dictionary of MCA header strings, keys without the leading
#@
(e.g.mca_header_dict["CALIB"]
).
-
motor_names
List of motor names from the
#O
file header line.
-
motor_position_by_name
(self, name) Returns the position for a given motor
Parameters: name (str) – Name of motor, as defined on the #O
line of the file header.Returns: Motor position Return type: float
-
motor_positions
List of motor positions as floats from the
#P
scan header line.
-
number
First value on #S line (as int)
-
order
Order can be > 1 if the same number is repeated in a specfile
-
record_exists_in_hdr
(self, record) Check whether a scan header line exists.
This should be used before attempting to retrieve header information using a C function that may crash with a segmentation fault if the header isn’t defined in the SpecFile.
Parameters: record (str) – single upper case letter corresponding to the header you want to test (e.g. L
for labels)Returns: True or False Return type: boolean
-
scan_header
List of raw scan header lines (as a list of strings).
-
scan_header_dict
Dictionary of scan header strings, keys without the leading``#`` (e.g.
scan_header_dict["S"]
). Note: this does not include MCA header lines starting with#@
.
- specfile (
-
class
silx.io.specfile.
MCA
Parameters: scan (
Scan
) – Parent Scan instanceVariables: - calibration – MCA calibration \((a, b, c)\) (as in
\(a + b x + c x²\)) from
#@CALIB
scan header. - channels – MCA channels list from
#@CHANN
scan header. In the absence of a#@CHANN
header, this attribute is a list[0, …, N-1]
whereN
is the length of the first spectrum. In the absence of MCA spectra, this attribute defaults toNone
.
This class provides access to Multi-Channel Analysis data. A
MCA
instance can be indexed to access 1D numpy arrays representing single MCA spectra.To create a
MCA
instance, you must provide a parentScan
instance, which in turn will provide a reference to the originalSpecFile
instance:sf = SpecFile("/path/to/specfile.dat") scan2 = Scan(sf, scan_index=2) mcas_in_scan2 = MCA(scan2) for i in len(mcas_in_scan2): mca_data = mcas_in_scan2[i] ... # do some something with mca_data (1D numpy array)
A more pythonic way to do the same work, without having to explicitly instantiate
scan
andmcas_in_scan
, would be:sf = SpecFile("specfilename.dat") # scan2 from previous example can be referred to as sf[2] # mcas_in_scan2 from previous example can be referred to as scan2.mca for mca_data in sf[2].mca: ... # do some something with mca_data (1D numpy array)
-
__len__
(self)¶ Returns: Number of mca in Scan Return type: int
-
__iter__
(self)¶ Return the next MCA data line each time this method is called.
Returns: Single MCA Return type: 1D numpy array
-
__getitem__
(self, key)¶ Return a single MCA data line
Parameters: key (int) – 0-based index of MCA within Scan Returns: Single MCA Return type: 1D numpy array
- calibration – MCA calibration \((a, b, c)\) (as in
\(a + b x + c x²\)) from
-
class
silx.io.specfile.
SfError
Base exception inherited by all exceptions raised when a C function from the legacy SpecFile library returns an error code.
-
class
silx.io.specfile.
SfErrMemoryAlloc
Bases:
silx.io.specfile.SfError
,exceptions.MemoryError
-
class
silx.io.specfile.
SfErrFileOpen
Bases:
silx.io.specfile.SfError
,exceptions.IOError
-
class
silx.io.specfile.
SfErrFileClose
Bases:
silx.io.specfile.SfError
,exceptions.IOError
-
class
silx.io.specfile.
SfErrFileRead
Bases:
silx.io.specfile.SfError
,exceptions.IOError
-
class
silx.io.specfile.
SfErrFileWrite
Bases:
silx.io.specfile.SfError
,exceptions.IOError
-
class
silx.io.specfile.
SfErrLineNotFound
Bases:
silx.io.specfile.SfError
,exceptions.KeyError
-
class
silx.io.specfile.
SfErrScanNotFound
Bases:
silx.io.specfile.SfError
,exceptions.IndexError
-
class
silx.io.specfile.
SfErrHeaderNotFound
Bases:
silx.io.specfile.SfError
,exceptions.KeyError
-
class
silx.io.specfile.
SfErrLabelNotFound
Bases:
silx.io.specfile.SfError
,exceptions.KeyError
-
class
silx.io.specfile.
SfErrMotorNotFound
Bases:
silx.io.specfile.SfError
,exceptions.KeyError
-
class
silx.io.specfile.
SfErrPositionNotFound
Bases:
silx.io.specfile.SfError
,exceptions.KeyError
-
class
silx.io.specfile.
SfErrLineEmpty
Bases:
silx.io.specfile.SfError
,exceptions.IOError
-
class
silx.io.specfile.
SfErrUserNotFound
Bases:
silx.io.specfile.SfError
,exceptions.KeyError
-
class
silx.io.specfile.
SfErrColNotFound
Bases:
silx.io.specfile.SfError
,exceptions.KeyError
-
class
silx.io.specfile.
SfErrMcaNotFound
Bases:
silx.io.specfile.SfError
,exceptions.IndexError
-
class
silx.io.specfile.
SfNoMcaError
Bases:
silx.io.specfile.SfError
Custom exception raised when
SfNoMca()
returns-1