Library Reference¶
First level variables¶
-
bcolz.
__version__
¶ The version of the bcolz package.
-
bcolz.
dask_here
¶ Whether the minimum version of dask has been detected.
-
bcolz.
min_dask_version
¶ The minimum version of dask needed (dask is optional).
-
bcolz.
min_numexpr_version
¶ The minimum version of numexpr needed (numexpr is optional).
-
bcolz.
ncores
¶ The number of cores detected.
-
bcolz.
numexpr_here
¶ Whether the minimum version of numexpr has been detected.
Top level classes¶
-
class
bcolz.
cparams
(clevel=None, shuffle=None, cname=None, quantize=None)¶ Class to host parameters for compression and other filters.
- Parameters
- clevelint (0 <= clevel < 10)
The compression level.
- shuffleint
The shuffle filter to be activated. Allowed values are bcolz.NOSHUFFLE (0), bcolz.SHUFFLE (1) and bcolz.BITSHUFFLE (2). The default is bcolz.SHUFFLE.
- cnamestring (‘blosclz’, ‘lz4’, ‘lz4hc’, ‘snappy’, ‘zlib’, ‘zstd’)
Select the compressor to use inside Blosc.
- quantizeint (number of significant digits)
Quantize data to improve (lossy) compression. Data is quantized using np.around(scale*data)/scale, where scale is 2**bits, and bits is determined from the quantize value. For example, if quantize=1, bits will be 4. 0 means that the quantization is disabled.
- In case some of the parameters are not passed, they will be
- set to a default (see `setdefaults()` method).
See also
Methods
setdefaults
([clevel, shuffle, cname, quantize])Change the defaults for compression params.
-
static
setdefaults
(clevel=None, shuffle=None, cname=None, quantize=None)¶ Change the defaults for compression params.
- Parameters
- clevelint (0 <= clevel < 10)
The compression level.
- shuffleint
The shuffle filter to be activated. Allowed values are bcolz.NOSHUFFLE (0), bcolz.SHUFFLE (1) and bcolz.BITSHUFFLE (2). The default is bcolz.SHUFFLE.
- cnamestring (‘blosclz’, ‘lz4’, ‘lz4hc’, ‘snappy’, ‘zlib’, ‘zstd’)
Select the compressor to use inside Blosc.
- quantizeint (number of significant digits)
Quantize data to improve (lossy) compression. Data is quantized using np.around(scale*data)/scale, where scale is 2**bits, and bits is determined from the quantize value. For example, if quantize=1, bits will be 4. 0 means that the quantization is disabled.
- If this method is not called, the defaults will be set as in
- defaults.py:
- (``{clevel=5, shuffle=bcolz.SHUFFLE, cname=’lz4’, quantize=None}``).
-
class
bcolz.attrs.
attrs
(rootdir, mode, _new=False)¶ Accessor for attributes in carray/ctable objects.
This class behaves very similarly to a dictionary, and attributes can be appended in the typical way:
attrs['myattr'] = value
And can be retrieved similarly:
value = attrs['myattr']
Attributes can be removed with:
del attrs['myattr']
This class also honors the __iter__ and __len__ special functions. Moreover, a getall() method returns all the attributes as a dictionary.
CAVEAT: The values should be able to be serialized with JSON for persistence.
Methods
getall
Also, see the carray
and ctable
classes below.
Top level functions¶
-
bcolz.
arange
([start, ]stop, [step, ]dtype=None, **kwargs)¶ Return evenly spaced values within a given interval.
Values are generated within the half-open interval
[start, stop)
(in other words, the interval including start but excluding stop). For integer arguments the function is equivalent to the Python built-in range function, but returns a carray rather than a list.- Parameters
- startnumber, optional
Start of interval. The interval includes this value. The default start value is 0.
- stopnumber
End of interval. The interval does not include this value.
- stepnumber, optional
Spacing between values. For any output out, this is the distance between two adjacent values,
out[i+1] - out[i]
. The default step size is 1. If step is specified, start must also be given.- dtypedtype
The type of the output array. If dtype is not given, infer the data type from the other input arguments.
- kwargslist of parameters or dictionary
Any parameter supported by the carray constructor.
- Returns
- outcarray
Bcolz object made of evenly spaced values.
For floating point arguments, the length of the result is
ceil((stop - start)/step)
. Because of floating point overflow, this rule may result in the last element of out being greater than stop.
-
bcolz.
eval
(expression, vm=None, out_flavor=None, user_dict=None, blen=None, **kwargs)¶ Evaluate an expression and return the result.
- Parameters
- expressionstring
A string forming an expression, like ‘2*a+3*b’. The values for ‘a’ and ‘b’ are variable names to be taken from the calling function’s frame. These variables may be scalars, carrays or NumPy arrays.
- vmstring
The virtual machine to be used in computations. It can be ‘numexpr’, ‘python’ or ‘dask’. The default is to use ‘numexpr’ if it is installed.
- out_flavorstring
The flavor for the out object. It can be ‘bcolz’ or ‘numpy’. If None, the value is get from bcolz.defaults.out_flavor.
- user_dictdict
An user-provided dictionary where the variables in expression can be found by name.
- blenint
The length of the block to be evaluated in one go internally. The default is a value that has been tested experimentally and that offers a good enough peformance / memory usage balance.
- kwargslist of parameters or dictionary
Any parameter supported by the carray constructor.
- Returns
- outbcolz or numpy object
The outcome of the expression. In case out_flavor=’bcolz’, you can adjust the properties of this object by passing any additional arguments supported by the carray constructor in kwargs.
-
bcolz.
fill
(shape, dtype=float, dflt=None, **kwargs)¶ Return a new carray or ctable object of given shape and type, filled with dflt.
- Parameters
- shapeint
Shape of the new array, e.g.,
(2,3)
.- dfltPython or NumPy scalar
The value to be used during the filling process. If None, values are filled with zeros. Also, the resulting carray will have this value as its dflt value.
- dtypedata-type, optional
The desired data-type for the array, e.g., numpy.int8. Default is numpy.float64.
- kwargslist of parameters or dictionary
Any parameter supported by the carray constructor.
- Returns
- outcarray or ctable
Bcolz object filled with dflt values with the given shape and dtype.
-
bcolz.
fromiter
(iterable, dtype, count, **kwargs)¶ Create a carray/ctable from an iterable object.
- Parameters
- iterableiterable object
An iterable object providing data for the carray.
- dtypenumpy.dtype instance
Specifies the type of the outcome object.
- countint
The number of items to read from iterable. If set to -1, means that the iterable will be used until exhaustion (not recommended, see note below).
- kwargslist of parameters or dictionary
Any parameter supported by the carray/ctable constructors.
- Returns
- outa carray/ctable object
Notes
Please specify count to both improve performance and to save memory. It allows fromiter to avoid looping the iterable twice (which is slooow). It avoids memory leaks to happen too (which can be important for large iterables).
-
bcolz.
iterblocks
(cobj, blen=None, start=0, stop=None)¶ Iterate over a cobj (carray/ctable) in blocks of size blen.
- Parameters
- cobjcarray/ctable object
The bcolz object to be iterated over.
- blenint
The length of the block that is returned. The default is the chunklen, or for a ctable, the minimum of the different column chunklens.
- startint
Where the iterator starts. The default is to start at the beginning.
- stopint
Where the iterator stops. The default is to stop at the end.
- Returns
- outiterable
This iterable returns data blocks as NumPy arrays of homogeneous or structured types, depending on whether cobj is a carray or a ctable object.
See also
whereblocks
-
bcolz.
ones
(shape, dtype=float, **kwargs)¶ Return a new carray object of given shape and type, filled with ones.
- Parameters
- shapeint
Shape of the new array, e.g.,
(2,3)
.- dtypedata-type, optional
The desired data-type for the array, e.g., numpy.int8. Default is numpy.float64.
- kwargslist of parameters or dictionary
Any parameter supported by the carray constructor.
- Returns
- outcarray or ctable
Bcolz object of ones with the given shape and dtype.
-
bcolz.
zeros
(shape, dtype=float, **kwargs)¶ Return a new carray object of given shape and type, filled with zeros.
- Parameters
- shapeint
Shape of the new array, e.g.,
(2,3)
.- dtypedata-type, optional
The desired data-type for the array, e.g., numpy.int8. Default is numpy.float64.
- kwargslist of parameters or dictionary
Any parameter supported by the carray constructor.
- Returns
- outcarray or ctable
Bcolz object of zeros with the given shape and dtype.
-
bcolz.
open
(rootdir, mode='a')¶ Open a disk-based carray/ctable.
- Parameters
- rootdirpathname (string)
The directory hosting the carray/ctable object.
- modethe open mode (string)
Specifies the mode in which the object is opened. The supported values are:
‘r’ for read-only
‘w’ for emptying the previous underlying data
‘a’ for allowing read/write on top of existing data
- Returns
- outa carray/ctable object or IOError (if not objects are found)
-
bcolz.
walk
(dir, classname=None, mode='a')¶ Recursively iterate over carray/ctable objects hanging from dir.
- Parameters
- dirstring
The directory from which the listing starts.
- classnamestring
If specified, only object of this class are returned. The values supported are ‘carray’ and ‘ctable’.
- modestring
The mode in which the object should be opened.
- Returns
- outiterator
Iterator over the objects found.
Top level printing functions¶
-
bcolz.
array2string
(a, max_line_width=None, precision=None, suppress_small=None, separator=' ', prefix='', style=repr, formatter=None)¶ Return a string representation of a carray/ctable object.
This is the same function than in NumPy. Please refer to NumPy documentation for more info.
- See Also:
-
bcolz.
get_printoptions
()¶ Return the current print options.
This is the same function than in NumPy. For more info, please refer to the NumPy documentation.
- See Also:
-
bcolz.
set_printoptions
(precision=None, threshold=None, edgeitems=None, linewidth=None, suppress=None, nanstr=None, infstr=None, formatter=None)¶ Set printing options.
These options determine the way floating point numbers in carray objects are displayed. This is the same function than in NumPy. For more info, please refer to the NumPy documentation.
- See Also:
Utility functions¶
-
bcolz.
set_nthreads
(nthreads)¶ Sets the number of threads to be used during bcolz operation.
This affects to both Blosc and Numexpr (if available). If you want to change this number only for Blosc, use blosc_set_nthreads instead.
- Parameters
- nthreadsint
The number of threads to be used during bcolz operation.
- Returns
- outint
The previous setting for the number of threads.
See also
-
bcolz.
blosc_set_nthreads
(nthreads)¶ Sets the number of threads that Blosc can use.
- Parameters
- nthreadsint
The desired number of threads to use.
- Returns
- outint
The previous setting for the number of threads.
-
bcolz.
detect_number_of_cores
()¶ Return the number of cores in this system.
-
bcolz.
blosc_version
()¶ Return the version of the Blosc library.
-
bcolz.
print_versions
()¶ Print all the versions of packages that bcolz relies on.
-
bcolz.
test
(verbose=False, heavy=False)¶ Run all the tests in the test suite.
If verbose is set, the test suite will emit messages with full verbosity (not recommended unless you are looking into a certain problem).
If heavy is set, the test suite will be run in heavy mode (you should be careful with this because it can take a lot of time and resources from your computer).
The carray class¶
-
class
bcolz.
carray
(array, cparams=None, dtype=None, dflt=None, expectedlen=None, chunklen=None, rootdir=None, mode='a')¶ A compressed and enlargeable data container either in-memory or on-disk.
carray exposes a series of methods for dealing with the compressed container in a NumPy-like way.
- Parameters
- arraya NumPy-like object
This is taken as the input to create the carray. It can be any Python object that can be converted into a NumPy object. The data type of the resulting carray will be the same as this NumPy object.
- cparamsinstance of the cparams class, optional
Parameters to the internal Blosc compressor.
- dtypeNumPy dtype
Force this dtype for the carray (rather than the array one).
- dfltPython or NumPy scalar
The value to be used when enlarging the carray. If None, the default is filling with zeros.
- expectedlenint, optional
A guess on the expected length of this object. This will serve to decide the best chunklen used for compression and memory I/O purposes.
- chunklenint, optional
The number of items that fits into a chunk. By specifying it you can explicitly set the chunk size used for compression and memory I/O. Only use it if you know what are you doing.
- rootdirstr, optional
The directory where all the data and metadata will be stored. If specified, then the carray object will be disk-based (i.e. all chunks will live on-disk, not in memory) and persistent (i.e. it can be restored in other session, e.g. via the open() top-level function).
- safebool (defaults to True)
Coerces inputs to array types. Set to false if you always give correctly typed, strided, and shaped arrays and if you never use Object dtype.
- modestr, optional
The mode that a persistent carray should be created/opened. The values can be:
‘r’ for read-only
‘w’ for read/write. During carray creation, the rootdir will be removed if it exists. During carray opening, the carray will be resized to 0.
‘a’ for append (possible data inside rootdir will not be removed).
- Attributes
atomsize
atomsize: ‘int’
attrs
The attribute accessor.
cbytes
The compressed size of this object (in bytes).
chunklen
The chunklen of this object (in rows).
chunks
chunks: object
cparams
The compression parameters for this object.
dflt
The default value of this object.
dtype
The dtype of this object.
itemsize
itemsize: ‘int’
leftover_array
Array containing the leftovers chunk (uncompressed chunk)
leftover_bytes
Number of bytes in the leftover_array
leftover_elements
Number of elements in the leftover_array
leftover_ptr
Pointer referring to the leftover_array
len
The length (leading dimension) of this object.
mode
The mode used to create/open the mode.
nbytes
The original (uncompressed) size of this object (in bytes).
nchunks
Number of chunks in the carray
ndim
The number of dimensions of this object.
nleftover
The number of leftover elements.
partitions
List of tuples indicating the bounds for each chunk
rootdir
The on-disk directory used for persistency.
safe
Whether or not to perform type/shape checks on every operation.
shape
The shape of this object.
size
The size of this object.
Methods
append
(self, array)Append a numpy array to this instance.
copy
(self, **kwargs)Return a copy of this object.
flush
(self)Flush data in internal buffers to disk.
free_cachemem
(self)Release in-memory cached chunk
iter
(self[, start, stop, step, limit, skip, …])Iterator with start, stop and step bounds.
purge
(self)Remove the underlying data for on-disk arrays.
reshape
(self, newshape)Returns a new carray containing the same data with a new shape.
resize
(self, nitems)Resize the instance to have nitems.
sum
(self[, dtype])Return the sum of the array elements.
trim
(self, nitems)Remove the trailing nitems from this instance.
view
(self)Create a light weight view of the data in the original carray.
where
(self, boolarr[, limit, skip])Iterator that returns values of this object where boolarr is true.
wheretrue
(self[, limit, skip])Iterator that returns indices where this object is true.
-
__getitem__
()¶ x.__getitem__(key) <==> x[key]
Returns values based on key. All the functionality of
ndarray.__getitem__()
is supported (including fancy indexing), plus a special support for expressions:- Parameters
- keystring
It will be interpret as a boolean expression (computed via eval) and the elements where these values are true will be returned as a NumPy array.
See also
-
__setitem__
()¶ x.__setitem__(key, value) <==> x[key] = value
Sets values based on key. All the functionality of
ndarray.__setitem__()
is supported (including fancy indexing), plus a special support for expressions:- Parameters
- keystring
It will be interpret as a boolean expression (computed via eval) and the elements where these values are true will be set to value.
See also
-
append
(self, array)¶ Append a numpy array to this instance.
- Parameters
- arrayNumPy-like object
The array to be appended. Must be compatible with shape and type of the carray.
-
atomsize
¶ atomsize: ‘int’
-
attrs
¶ The attribute accessor.
See also
-
cbytes
¶ The compressed size of this object (in bytes).
-
chunklen
¶ The chunklen of this object (in rows).
-
chunks
¶ chunks: object
-
copy
(self, **kwargs)¶ Return a copy of this object.
- Parameters
- kwargslist of parameters or dictionary
Any parameter supported by the carray constructor.
- Returns
- outcarray object
The copy of this object.
-
cparams
¶ The compression parameters for this object.
-
dflt
¶ The default value of this object.
-
dtype
¶ The dtype of this object.
-
flush
(self)¶ Flush data in internal buffers to disk.
This call should typically be done after performing modifications (__settitem__(), append()) in persistence mode. If you don’t do this, you risk losing part of your modifications.
-
free_cachemem
(self)¶ Release in-memory cached chunk
-
itemsize
¶ itemsize: ‘int’
-
iter
(self, start=0, stop=None, step=1, limit=None, skip=0, _next=False)¶ Iterator with start, stop and step bounds.
- Parameters
- startint
The starting item.
- stopint
The item after which the iterator stops.
- stepint
The number of items incremented during each iteration. Cannot be negative.
- limitint
A maximum number of elements to return. The default is return everything.
- skipint
An initial number of elements to skip. The default is 0.
- Returns
- outiterator
-
leftover_array
¶ Array containing the leftovers chunk (uncompressed chunk)
-
leftover_bytes
¶ Number of bytes in the leftover_array
-
leftover_elements
¶ Number of elements in the leftover_array
-
leftover_ptr
¶ Pointer referring to the leftover_array
-
len
¶ The length (leading dimension) of this object.
-
mode
¶ The mode used to create/open the mode.
-
nbytes
¶ The original (uncompressed) size of this object (in bytes).
-
nchunks
¶ Number of chunks in the carray
-
ndim
¶ The number of dimensions of this object.
-
nleftover
¶ The number of leftover elements.
-
partitions
¶ List of tuples indicating the bounds for each chunk
-
purge
(self)¶ Remove the underlying data for on-disk arrays.
-
reshape
(self, newshape)¶ Returns a new carray containing the same data with a new shape.
- Parameters
- newshapeint or tuple of ints
The new shape should be compatible with the original shape. If an integer, then the result will be a 1-D array of that length. One shape dimension can be -1. In this case, the value is inferred from the length of the array and remaining dimensions.
- Returns
- reshaped_arraycarray
A copy of the original carray.
-
resize
(self, nitems)¶ Resize the instance to have nitems.
- Parameters
- nitemsint
The final length of the object. If nitems is larger than the actual length, new items will appended using self.dflt as filling values.
-
rootdir
¶ The on-disk directory used for persistency.
-
safe
¶ Whether or not to perform type/shape checks on every operation.
-
shape
¶ The shape of this object.
-
size
¶ The size of this object.
-
sum
(self, dtype=None)¶ Return the sum of the array elements.
- Parameters
- dtypeNumPy dtype
The desired type of the output. If
None
, the dtype of self is used. An exception is when self has an integer type with less precision than the default platform integer. In that case, the default platform integer is used instead (NumPy convention).
- Returns
- outNumPy scalar with dtype
-
trim
(self, nitems)¶ Remove the trailing nitems from this instance.
- Parameters
- nitemsint
The number of trailing items to be trimmed. If negative, the object is enlarged instead.
-
view
(self)¶ Create a light weight view of the data in the original carray.
- Returns
- outcarray object
The view of this object.
See also
-
where
(self, boolarr, limit=None, skip=0)¶ Iterator that returns values of this object where boolarr is true.
This is currently only useful for boolean carrays that are unidimensional.
- Parameters
- boolarra carray or NumPy array of boolean type
The boolean values.
- limitint
A maximum number of elements to return. The default is return everything.
- skipint
An initial number of elements to skip. The default is 0.
- Returns
- outiterator
-
wheretrue
(self, limit=None, skip=0)¶ Iterator that returns indices where this object is true.
This is currently only useful for boolean carrays that are unidimensional.
- Parameters
- limitint
A maximum number of elements to return. The default is return everything.
- skipint
An initial number of elements to skip. The default is 0.
- Returns
- outiterator
The ctable class¶
-
class
bcolz.ctable.
ctable
(columns=None, names=None, **kwargs)¶ This class represents a compressed, column-wise table.
Create a new ctable from cols with optional names.
- Parameters
- columnstuple or list of column objects
The list of column data to build the ctable object. These are typically carrays, but can also be a list of NumPy arrays or a pure NumPy structured array. A list of lists or tuples is valid too, as long as they can be converted into carray objects.
- nameslist of strings or string
The list of names for the columns. The names in this list must be valid Python identifiers, must not start with an underscore, and has to be specified in the same order as the cols. If not passed, the names will be chosen as ‘f0’ for the first column, ‘f1’ for the second and so on so forth (NumPy convention).
- kwargslist of parameters or dictionary
Allows to pass additional arguments supported by carray constructors in case new carrays need to be built.
Notes
Columns passed as carrays are not be copied, so their settings will stay the same, even if you pass additional arguments (cparams, chunklen…).
- Attributes
cbytes
The compressed size of this object (in bytes).
cparams
The compression parameters for this object.
dtype
The data type of this object (numpy dtype).
names
The column names of the object (list).
nbytes
The original (uncompressed) size of this object (in bytes).
ndim
The number of dimensions of this object.
shape
The shape of this object.
size
The size of this object.
Methods
addcol
(newcol[, name, pos, move])Add a new newcol object as column.
append
(cols)Append cols to this ctable.
copy
(**kwargs)Return a copy of this ctable.
delcol
([name, pos, keep])Remove the column named name or in position pos.
eval
(expression, **kwargs)Evaluate the expression on columns and return the result.
fetchwhere
(expression[, outcols, limit, …])Fetch the rows fulfilling the expression condition.
flush
()Flush data in internal buffers to disk.
Get rid of internal caches to free memory.
fromdataframe
(df, **kwargs)Return a ctable object out of a pandas dataframe.
fromhdf5
(filepath[, nodepath])Return a ctable object out of a compound HDF5 dataset (PyTables Table).
iter
([start, stop, step, outcols, limit, …])Iterator with start, stop and step bounds.
resize
(nitems)Resize the instance to have nitems.
todataframe
([columns, orient])Return a pandas dataframe out of this object.
tohdf5
(filepath[, nodepath, mode, cparams, …])Write this object into an HDF5 file.
trim
(nitems)Remove the trailing nitems from this instance.
where
(expression[, outcols, limit, skip, …])Iterate over rows where expression is true.
whereblocks
(expression[, blen, outcols, …])Iterate over the rows that fullfill the expression condition on this ctable, in blocks of size blen.
-
addcol
(newcol, name=None, pos=None, move=False, **kwargs)¶ Add a new newcol object as column.
- Parameters
- newcolcarray, ndarray, list or tuple
If a carray is passed, no conversion will be carried out. If conversion to a carray has to be done, kwargs will apply.
- namestring, optional
The name for the new column. If not passed, it will receive an automatic name.
- posint, optional
The column position. If not passed, it will be appended at the end.
- move: boolean, optional
If the new column is an existing, disk-based carray should it a) copy the data directory (False) or b) move the data directory (True)
- kwargslist of parameters or dictionary
Any parameter supported by the carray constructor.
See also
Notes
You should not specificy both name and pos arguments, unless they are compatible.
-
append
(cols)¶ Append cols to this ctable.
- Parameters
- colslist/tuple of scalar values, NumPy arrays or carrays
It also can be a NumPy record, a NumPy recarray, or another ctable.
-
property
cbytes
¶ The compressed size of this object (in bytes).
-
cols
¶ The ctable columns accessor.
-
copy
(**kwargs)¶ Return a copy of this ctable.
- Parameters
- kwargslist of parameters or dictionary
Any parameter supported by the carray/ctable constructor.
- Returns
- outctable object
The copy of this ctable.
-
property
cparams
¶ The compression parameters for this object.
-
delcol
(name=None, pos=None, keep=False)¶ Remove the column named name or in position pos.
- Parameters
- name: string, optional
The name of the column to remove.
- pos: int, optional
The position of the column to remove.
- keep: boolean
For disk-backed columns: keep the data on disk?
See also
Notes
You must specify at least a name or a pos. You should not specify both name and pos arguments, unless they are compatible.
-
property
dtype
¶ The data type of this object (numpy dtype).
-
eval
(expression, **kwargs)¶ Evaluate the expression on columns and return the result.
- Parameters
- expressionstring
A string forming an expression, like ‘2*a+3*b’. The values for ‘a’ and ‘b’ are variable names to be taken from the calling function’s frame. These variables may be column names in this table, scalars, carrays or NumPy arrays.
- kwargslist of parameters or dictionary
Any parameter supported by the eval() top level function.
- Returns
- outbcolz object
The outcome of the expression. You can tailor the properties of this object by passing additional arguments supported by the carray constructor in kwargs.
See also
-
fetchwhere
(expression, outcols=None, limit=None, skip=0, out_flavor=None, user_dict={}, vm=None, **kwargs)¶ Fetch the rows fulfilling the expression condition.
- Parameters
- expressionstring or carray
A boolean Numexpr expression or a boolean carray.
- outcolslist of strings or string
The list of column names that you want to get back in results. Alternatively, it can be specified as a string such as ‘f0 f1’ or ‘f0, f1’. If None, all the columns are returned. If the special name ‘nrow__’ is present, the number of row will be included in output.
- limitint
A maximum number of elements to return. The default is return everything.
- skipint
An initial number of elements to skip. The default is 0.
- out_flavorstring
The flavor for the out object. It can be ‘bcolz’ or ‘numpy’. If None, the value is get from bcolz.defaults.out_flavor.
- user_dictdict
An user-provided dictionary where the variables in expression can be found by name.
- vmstring
The virtual machine to be used in computations. It can be ‘numexpr’, ‘python’ or ‘dask’. The default is to use ‘numexpr’ if it is installed.
- kwargslist of parameters or dictionary
Any parameter supported by the carray constructor.
- Returns
- outbcolz or numpy object
The outcome of the expression. In case out_flavor=’bcolz’, you can adjust the properties of this object by passing any additional arguments supported by the carray constructor in kwargs.
See also
-
flush
()¶ Flush data in internal buffers to disk.
This call should typically be done after performing modifications (__settitem__(), append()) in persistence mode. If you don’t do this, you risk losing part of your modifications.
-
free_cachemem
()¶ Get rid of internal caches to free memory.
This call can typically be made after reading from a carray/ctable so as to free the memory used internally to cache data blocks/chunks.
-
static
fromdataframe
(df, **kwargs)¶ Return a ctable object out of a pandas dataframe.
- Parameters
- dfDataFrame
A pandas dataframe.
- kwargslist of parameters or dictionary
Any parameter supported by the ctable constructor.
- Returns
- outctable object
A ctable filled with values from df.
See also
Notes
The ‘object’ dtype will be converted into a ‘S’tring type, if possible. This allows for much better storage savings in bcolz.
-
static
fromhdf5
(filepath, nodepath='/ctable', **kwargs)¶ Return a ctable object out of a compound HDF5 dataset (PyTables Table).
- Parameters
- filepathstring
The path of the HDF5 file.
- nodepathstring
The path of the node inside the HDF5 file.
- kwargslist of parameters or dictionary
Any parameter supported by the ctable constructor.
- Returns
- outctable object
A ctable filled with values from the HDF5 node.
See also
-
iter
(start=0, stop=None, step=1, outcols=None, limit=None, skip=0, out_flavor=<function namedtuple>)¶ Iterator with start, stop and step bounds.
- Parameters
- startint
The starting item.
- stopint
The item after which the iterator stops.
- stepint
The number of items incremented during each iteration. Cannot be negative.
- outcolslist of strings or string
The list of column names that you want to get back in results. Alternatively, it can be specified as a string such as ‘f0 f1’ or ‘f0, f1’. If None, all the columns are returned. If the special name ‘nrow__’ is present, the number of row will be included in output.
- limitint
A maximum number of elements to return. The default is return everything.
- skipint
An initial number of elements to skip. The default is 0.
- out_flavornamedtuple, tuple or ndarray
Whether the returned rows are namedtuples or tuples. Default are named tuples.
- Returns
- outiterable
See also
-
property
names
¶ The column names of the object (list).
-
property
nbytes
¶ The original (uncompressed) size of this object (in bytes).
-
property
ndim
¶ The number of dimensions of this object.
-
resize
(nitems)¶ Resize the instance to have nitems.
- Parameters
- nitemsint
The final length of the instance. If nitems is larger than the actual length, new items will appended using self.dflt as filling values.
-
property
shape
¶ The shape of this object.
-
property
size
¶ The size of this object.
-
todataframe
(columns=None, orient='columns')¶ Return a pandas dataframe out of this object.
- Parameters
- columnssequence of column labels, optional
Must be passed if orient=’index’.
- orient{‘columns’, ‘index’}, default ‘columns’
The “orientation” of the data. If the keys of the input correspond to column labels, pass ‘columns’ (default). Otherwise if the keys correspond to the index, pass ‘index’.
- Returns
- outDataFrame
A pandas DataFrame filled with values from this object.
See also
-
tohdf5
(filepath, nodepath='/ctable', mode='w', cparams=None, cname=None)¶ Write this object into an HDF5 file.
- Parameters
- filepathstring
The path of the HDF5 file.
- nodepathstring
The path of the node inside the HDF5 file.
- modestring
The mode to open the PyTables file. Default is ‘w’rite mode.
- cparamscparams object
The compression parameters. The defaults are the same than for the current bcolz environment.
- cnamestring
Any of the compressors supported by PyTables (e.g. ‘zlib’). The default is to use ‘blosc’ as meta-compressor in combination with one of its compressors (see cparams parameter above).
See also
-
trim
(nitems)¶ Remove the trailing nitems from this instance.
- Parameters
- nitemsint
The number of trailing items to be trimmed.
-
where
(expression, outcols=None, limit=None, skip=0, out_flavor=<function namedtuple>, user_dict={}, vm=None)¶ Iterate over rows where expression is true.
- Parameters
- expressionstring or carray
A boolean Numexpr expression or a boolean carray.
- outcolslist of strings or string
The list of column names that you want to get back in results. Alternatively, it can be specified as a string such as ‘f0 f1’ or ‘f0, f1’. If None, all the columns are returned. If the special name ‘nrow__’ is present, the number of row will be included in output.
- limitint
A maximum number of elements to return. The default is return everything.
- skipint
An initial number of elements to skip. The default is 0.
- out_flavornamedtuple, tuple or ndarray
Whether the returned rows are namedtuples or tuples. Default are named tuples.
- user_dictdict
An user-provided dictionary where the variables in expression can be found by name.
- vmstring
The virtual machine to be used in computations. It can be ‘numexpr’, ‘python’ or ‘dask’. The default is to use ‘numexpr’ if it is installed.
- Returns
- outiterable
See also
-
whereblocks
(expression, blen=None, outcols=None, limit=None, skip=0, user_dict={}, vm=None)¶ Iterate over the rows that fullfill the expression condition on this ctable, in blocks of size blen.
- Parameters
- expressionstring or carray
A boolean Numexpr expression or a boolean carray.
- blenint
The length of the block that is returned. The default is the chunklen, or for a ctable, the minimum of the different column chunklens.
- outcolslist of strings or string
The list of column names that you want to get back in results. Alternatively, it can be specified as a string such as ‘f0 f1’ or ‘f0, f1’. If None, all the columns are returned. If the special name ‘nrow__’ is present, the number of row will be included in output.
- limitint
A maximum number of elements to return. The default is return everything.
- skipint
An initial number of elements to skip. The default is 0.
- user_dictdict
An user-provided dictionary where the variables in expression can be found by name.
- vmstring
The virtual machine to be used in computations. It can be ‘numexpr’, ‘python’ or ‘dask’. The default is to use ‘numexpr’ if it is installed.
- Returns
- outiterable
The iterable returns numpy objects of blen length.
See also