I am trying to get computeMatrix for bigwig file in specific genomic region using deeptools.
Below is the code I am using
computeMatrix reference-point --referencePoint TSS \
-b 1000 -a 1000 \
-R ~/Desktop/ATAC/ATAC/Inducible_elements_Greenberg.bed \
-S ~/Desktop/ATAC/Control.mRp.clN.bigWig \
--skipZeros \
-o ~/Desktop/ATAC/matrix_controlmRPATACBasalcomputematrix.gz \
But I get the following error
File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/numpy/__init__.py", line 305, in __getattr__
raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'float'.
`np.float` was a deprecated alias for the builtin `float`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations. Did you mean: 'cfloat'?
These are the packages in my Conda environment
# packages in environment at /Users/abhinavsoni/anaconda3/envs/ATAC_Seq:
#
# Name Version Build Channel
bzip2 1.0.8 h3422bc3_4 conda-forge
ca-certificates 2023.5.7 hf0a4a13_0 conda-forge
libblas 3.9.0 16_osxarm64_openblas conda-forge
libcblas 3.9.0 16_osxarm64_openblas conda-forge
libcxx 16.0.3 h4653b0c_0 conda-forge
libffi 3.4.2 h3422bc3_5 conda-forge
libgfortran 5.0.0 12_2_0_hd922786_31 conda-forge
libgfortran5 12.2.0 h0eea778_31 conda-forge
liblapack 3.9.0 16_osxarm64_openblas conda-forge
libopenblas 0.3.21 openmp_hc731615_3 conda-forge
libsqlite 3.41.2 hb31c410_1 conda-forge
libzlib 1.2.13 h03a7124_4 conda-forge
llvm-openmp 16.0.3 h1c12783_0 conda-forge
ncurses 6.3 h07bb92c_1 conda-forge
numpy 1.23.0 py310h0a343b5_0 conda-forge
openssl 3.1.0 h53f4e23_3 conda-forge
pip 23.1.2 pyhd8ed1ab_0 conda-forge
python 3.10.11 h3ba56d0_0_cpython conda-forge
python_abi 3.10 3_cp310 conda-forge
readline 8.2 h92ec313_1 conda-forge
setuptools 67.7.2 pyhd8ed1ab_0 conda-forge
tk 8.6.12 he1e0b03_0 conda-forge
tzdata 2023c h71feb2d_0 conda-forge
wheel 0.40.0 pyhd8ed1ab_0 conda-forge
xz 5.2.6 h57fd34a_0 conda-forge
What could be its possible work around?
