deeptools 3.4.3
python 3.7.6
matplotlib-base 3.2.2.

command:
computeGCBias -b ~/CLD_demo_project/CNV_visualization_test/03-mapping/cho_horizon_test_merged.bam -g ~/repository/cho_horizon_test/2bit/CHO_Horizon_test.2bit --effectiveGenomeSize 450000 -o cho_horizon_test_merged_gc_freq.tsv --biasPlot cho_horizon_test_merged_gc_freq.png

output:
filter_out: None
extra_sampling_file: None
genome_size: 456350
total_reads: 30552
reads_per_bp: 0.06789333333333333
max_reads: 99.0
min_reads: 0.0
computing frequencies
stepSize: 1
Traceback (most recent call last):
File "/u/gsemplic/miniconda3/envs/deeptools/bin/computeGCBias", line 12, in
main(args)
File "/u/gsemplic/miniconda3/envs/deeptools/lib/python3.7/site-packages/deeptools/computeGCBias.py", line 726, in main
plotGCbias(args.biasPlot, data, reads_per_gc, args.regionSize, image_format=args.plotFileFormat)
File "/u/gsemplic/miniconda3/envs/deeptools/lib/python3.7/site-packages/deeptools/computeGCBias.py", line 608, in plotGCbias
ax1.set_ylim(0 - (y_max * 0.05), y_max * 1.05)
File "/u/gsemplic/miniconda3/envs/deeptools/lib/python3.7/site-packages/matplotlib/axes/_base.py", line 3577, in set_ylim
bottom = self._validate_converted_limits(bottom, self.convert_yunits)
File "/u/gsemplic/miniconda3/envs/deeptools/lib/python3.7/site-packages/matplotlib/axes/_base.py", line 3101, in _validate_converted_limits
raise ValueError("Axis limits cannot be NaN or Inf")
ValueError: Axis limits cannot be NaN or Inf
(deeptools)