Hi,
I have installed Julia 0.6.2 in my Ubuntu 16.04 and is using Conda for julia’s python distribution.
julia> versioninfo()
Julia Version 0.6.2
Commit d386e40c17 (2017-12-13 18:08 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Core(TM) i5-4570S CPU @ 2.90GHz
WORD_SIZE: 64
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
LAPACK: libopenblas64_
LIBM: libopenlibm
LLVM: libLLVM-3.9.1 (ORCJIT, haswell)
I have Pkg.add('PyPlot') to my installation, but it gives wierd error when I try to use PyPlot:
julia> using PyPlot
INFO: Recompiling stale cache file /home/vish/.julia/lib/v0.6/PyCall.ji for module PyCall.
INFO: Recompiling stale cache file /home/vish/.julia/lib/v0.6/PyPlot.ji for module PyPlot.
sys:1: UserWarning:
This call to matplotlib.use() has no effect because the backend has already
been chosen; matplotlib.use() must be called *before* pylab, matplotlib.pyplot,
or matplotlib.backends is imported for the first time.
The backend was *originally* set to u'Qt5Agg' by the following code:
File "/home/vish/.julia/v0.6/Conda/deps/usr/lib/python2.7/site-packages/matplotlib/backends/__init__.py", line 14, in <module>
line for line in traceback.format_stack()
WARNING: No working GUI backend found for matplotlib
ERROR: InitError: PyError (ccall(@pysym(:PyImport_ImportModule), PyPtr, (Cstring,), name)
The Python package matplotlib.pyplot could not be found by pyimport. Usually this means
that you did not install matplotlib.pyplot in the Python version being used by PyCall.
PyCall is currently configured to use the Julia-specific Python distribution
installed by the Conda.jl package. To install the matplotlib.pyplot module, you can
use `pyimport_conda("matplotlib.pyplot", PKG)`, where PKG is the Anaconda
package the contains the module matplotlib.pyplot, or alternatively you can use the
Conda package directly (via `using Conda` followed by `Conda.add` etcetera).
Alternatively, if you want to use a different Python distribution on your
system, such as a system-wide Python (as opposed to the Julia-specific Python),
you can re-configure PyCall with that Python. As explained in the PyCall
documentation, set ENV["PYTHON"] to the path/name of the python executable
you want to use, run Pkg.build("PyCall"), and re-launch Julia.
) <type 'exceptions.ImportError'>
ImportError("/lib/x86_64-linux-gnu/libz.so.1: version `ZLIB_1.2.9' not found (required by /home/vish/.julia/v0.6/Conda/deps/usr/lib/python2.7/site-packages/matplotlib/../../.././libpng16.so.16)",)
File "/home/vish/.julia/v0.6/Conda/deps/usr/lib/python2.7/site-packages/matplotlib/pyplot.py", line 32, in <module>
import matplotlib.colorbar
File "/home/vish/.julia/v0.6/Conda/deps/usr/lib/python2.7/site-packages/matplotlib/colorbar.py", line 36, in <module>
import matplotlib.contour as contour
File "/home/vish/.julia/v0.6/Conda/deps/usr/lib/python2.7/site-packages/matplotlib/contour.py", line 21, in <module>
import matplotlib.font_manager as font_manager
File "/home/vish/.julia/v0.6/Conda/deps/usr/lib/python2.7/site-packages/matplotlib/font_manager.py", line 58, in <module>
from matplotlib import afm, cbook, ft2font, rcParams, get_cachedir
Stacktrace:
[1] pyerr_check at /home/vish/.julia/v0.6/PyCall/src/exception.jl:56 [inlined]
[2] pyerr_check at /home/vish/.julia/v0.6/PyCall/src/exception.jl:61 [inlined]
[3] macro expansion at /home/vish/.julia/v0.6/PyCall/src/exception.jl:81 [inlined]
[4] pyimport(::String) at /home/vish/.julia/v0.6/PyCall/src/PyCall.jl:374
[5] __init__() at /home/vish/.julia/v0.6/PyPlot/src/init.jl:184
[6] _include_from_serialized(::String) at ./loading.jl:157
[7] _require_from_serialized(::Int64, ::Symbol, ::String, ::Bool) at ./loading.jl:200
[8] _require(::Symbol) at ./loading.jl:464
[9] require(::Symbol) at ./loading.jl:405
during initialization of module PyPlot
However, my Conda installation shows matplotlib as installed
julia> using Conda
julia> Conda.list()
# packages in environment at /home/vish/.julia/v0.6/Conda/deps/usr:
#
asn1crypto 0.23.0 py27h7b0c810_0
backports 1.0 py27h63c9359_1
backports.functools_lru_cache 1.4 py27he8db605_1
backports_abc 0.5 py27h7b3c97b_0
ca-certificates 2017.08.26 h1d4fec5_0
certifi 2017.11.5 py27h71e7faf_0
cffi 1.11.2 py27ha7929c6_0
chardet 3.0.4 py27hfa10054_1
conda 4.4.4 py27_0
conda-env 2.6.0 h36134e3_1
cryptography 2.1.4 py27h6697b16_0
cycler 0.10.0 py27hc7354d3_0
dbus 1.10.22 h3b5a359_0
enum34 1.1.6 py27h99a27e9_1
expat 2.2.5 he0dffb1_0
fontconfig 2.12.4 h88586e7_1
freetype 2.8 hab7d2ae_1
functools32 3.2.3.2 py27h4ead58f_1
futures 3.2.0 py27h7b459c0_0
glib 2.53.6 h5d9569c_2
gst-plugins-base 1.12.2 he3457e5_0
gstreamer 1.12.2 h4f93127_0
icu 58.2 h9c2bf20_1
idna 2.6 py27h5722d68_1
intel-openmp 2018.0.0 hc7b2577_8
ipaddress 1.0.18 py27h337fd85_0
jpeg 9b h024ee3a_2
libedit 3.1 heed3624_0
libffi 3.2.1 hd88cf55_4
libgcc-ng 7.2.0 h7cc24e2_2
libpng 1.6.32 hbd3595f_4
libstdcxx-ng 7.2.0 h7a57d05_2
libxcb 1.12 hcd93eb1_4
libxml2 2.9.4 h2e8b1d7_6
matplotlib 2.1.1 py27h0128e01_0
mkl 2018.0.1 h19d6760_4
ncurses 6.0 h9df7e31_2
numpy 1.13.3 py27hbcc08e0_0
openssl 1.0.2n hb7f436b_0
pcre 8.41 hc27e229_1
pip 9.0.1 py27ha730c48_4
pycosat 0.6.3 py27ha4109ae_0
pycparser 2.18 py27hefa08c5_1
pyopenssl 17.5.0 py27hcee3be0_0
pyparsing 2.2.0 py27hf1513f8_1
pyqt 5.6.0 py27h4b1e83c_5
pysocks 1.6.7 py27he2db6d2_1
python 2.7.14 h1571d57_29
python-dateutil 2.6.1 py27h4ca5741_1
pytz 2017.3 py27h001bace_0
qt 5.6.2 h974d657_12
readline 7.0 ha6073c6_4
requests 2.18.4 py27hc5b0589_1
ruamel_yaml 0.11.14 py27h672d447_2
setuptools 36.5.0 py27h68b189e_0
singledispatch 3.4.0.3 py27h9bcb476_0
sip 4.18.1 py27he9ba0ab_2
six 1.11.0 py27h5f960f1_1
sqlite 3.20.1 hb898158_2
ssl_match_hostname 3.5.0.1 py27h4ec10b9_2
subprocess32 3.2.7 py27h373dbce_0
tk 8.6.7 hc745277_3
tornado 4.5.2 py27h97b179f_0
urllib3 1.22 py27ha55213b_0
wheel 0.30.0 py27h2bc6bb2_1
xz 5.2.3 h55aa19d_2
yaml 0.1.7 had09818_2
zlib 1.2.11 ha838bed_2
Even though this problem is found in some online forums, none includes a solution. 
