Write IGOR binary (.ibw) or text (.itx) files from numpy array
Project description
IgorWriter
Write Igor Binary Wave (.ibw) or Igor Text (.itx) files from numpy array
Features
Compatible with multi-dimensional arrays (up to 4 dimensions)
Supported
numpy
data types: uint, int, float, complex, bool, str, bytes, datetime64Data units (
IgorWave.set_datascale
)Dimension scaling (
IgorWave.set_dimscale
)Dimension labels (
IgorWave.set_dimlabel
)
Installation
$ pip install igorwriter
Usage
Basic usage
>>> import numpy as np
>>> from igorwriter import IgorWave
>>> array = np.array([1,2,3,4,5,6])
>>> # make IgorWave objects
>>> wave = IgorWave(array, name='mywave')
>>> wave2 = IgorWave(array.astype(np.float32), name='mywave2')
>>> # save data
>>> wave.save('mywave.ibw')
>>> wave.save_itx('mywave.itx')
>>> with open('multi_waves.itx', 'w') as fp:
>>> # Igor Text files can contain multiples waves per file
>>> wave.save_itx(fp)
>>> wave2.save_itx(fp)
Data units, dimension scaling
>>> wave.set_datascale('DataUnit')
>>> wave.set_dimscale('x', 0, 0.01, 's')
A two-dimensional array with dimension labels
>>> a2 = np.random.random((10, 3))
>>> wave = IgorWave(a2, name='wave2d')
>>> # you may set optional dimension labels
>>> wave.set_dimlabel(0, -1, 'points') # entire label for rows
>>> wave.set_dimlabel(1, -1, 'values') # entire label for columns
>>> wave.set_dimlabel(1, 0, 'ValueA') # label for column 0
>>> wave.set_dimlabel(1, 1, 'ValueB') # label for column 1
>>> wave.set_dimlabel(1, 2, 'ValueC') # label for column 2
>>> wave.save('my2dwave.ibw')
Wave Names
There are restrictions on object names in IGOR. From v0.2.0, this package deals with illegal object names.
>>> wave = IgorWave(array, name='\'this_is_illegal\'', on_errors='fix') # fix illegal names automatically
RenameWarning: name “‘this_is_illegal’” is fixed as ‘_this_is_illegal_’ (reason: name must not contain “ ‘ : ; or any control characters.)
>>> print(wave.name)
_this_is_illegal_
>>> wave = IgorWave(array, name='\'this_is_illegal\'', on_errors='raise') # raise errors
Traceback (most recent call last):
…
igorwriter.errors.InvalidNameError: name must not contain “ ‘ : ; or any control characters.
Exporting pandas.DataFrame
Convenience functions for saving DataFrame in a Igor Text file or a series of Igor Binary Wave files are provided.
>>> from igorwriter import utils
>>> utils.dataframe_to_itx(df, 'df.itx') # all Series are exported in one file
>>> waves = utils.dataframe_to_ibw(df, prefix='df_bin') # each Series is saved in a separate file, <prefix>_<column>.ibw
>>> waves # dictionary of generated IgorWaves. You can change wave names, set data units, set dimension scaling, etc.
{‘col1’: <IgorWave ‘col1’ at 0x…>, ‘col2’: …}
Notes on Image Plots
Image Plot in IGOR and imshow
in matplotlib use different convention for x and y axes:
Rows as x, columns as y (IGOR)
Columns as x, rows as y (Matplotlib)
Thus, image
parameter was introduced in save()
and save_itx()
methods.
If you use e.g.
>>> wave.save('path.ibw', image=True)
plt.imshow
and Image Plot will give the same results.
Changelog
v0.4.1 (2023-07-02)
Added support for np.str_, np.bytes_ arrays.
Automatic type conversion for np.object_ arrays.
Added support for dimension scaling (
IgorWave.set_simlabel
).
v0.3.0 (2019-11-16)
Added
utils.dict_to_{ibw, itx}
Set datascale automatically for pint Quantity object.
Added support for np.datetime64 array.
v0.2.3 (2019-11-09)
Added support for 64-bit integers (by automatically casting onto 32-bit integers on save).
v0.2.0 (2019-11-08)
Added utilities for pandas (
utils.dataframe_to_{ibw, itx}
).Added unittest scripts.
Added wave name validator.
BUG FIX: long (> 3 bytes) units for dimension scaling were ignored in
save_itx()
IgorWriter now uses system locale encoding rather than ASCII (the default behavior of
IGOR Pro prior to ver. 7.00)
Project details
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