How can I hide the results of a terminal command?
I'm ran this code on google-colab:
import sys
!{sys.executable} -m pip install -U pandas-profiling[notebook]
!jupyter nbextension enable --py widgetsnbextension
I already tried using warning
library, but it didn't work.
And I'm getting these logs in the file that I'd like to hide:
Requirement already satisfied: pandas-profiling[notebook] in /opt/conda/lib/python3.7/site-packages (3.1.0)
Collecting pandas-profiling[notebook]
Downloading pandas_profiling-3.2.0-py2.py3-none-any.whl (262 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 262.6/262.6 KB 1.4 MB/s eta 0:00:00
Requirement already satisfied: scipy>=1.4.1 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (1.7.3)
Requirement already satisfied: PyYAML>=5.0.0 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (6.0)
Requirement already satisfied: pydantic>=1.8.1 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (1.8.2)
Collecting markupsafe~=2.1.1
Downloading MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25 kB)
Requirement already satisfied: numpy>=1.16.0 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (1.21.5)
Requirement already satisfied: tqdm>=4.48.2 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (4.63.0)
Requirement already satisfied: seaborn>=0.10.1 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (0.11.2)
Collecting joblib~=1.1.0
Downloading joblib-1.1.0-py2.py3-none-any.whl (306 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 307.0/307.0 KB 4.5 MB/s eta 0:00:00
Requirement already satisfied: phik>=0.11.1 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (0.12.0)
Requirement already satisfied: matplotlib>=3.2.0 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (3.5.1)
Requirement already satisfied: missingno>=0.4.2 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (0.4.2)
Requirement already satisfied: requests>=2.24.0 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (2.27.1)
Requirement already satisfied: multimethod>=1.4 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (1.4)
Requirement already satisfied: pandas!=1.0.0,!=1.0.1,!=1.0.2,!=1.1.0,>=0.25.3 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (1.3.5)
Requirement already satisfied: visions[type_image_path]==0.7.4 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (0.7.4)
Requirement already satisfied: jinja2>=2.11.1 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (3.1.1)
Requirement already satisfied: htmlmin>=0.1.12 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (0.1.12)
Collecting tangled-up-in-unicode==0.2.0
Downloading tangled_up_in_unicode-0.2.0-py3-none-any.whl (4.7 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.7/4.7 MB 21.9 MB/s eta 0:00:00
Requirement already satisfied: jupyter-core>=4.6.3 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (4.9.2)
Requirement already satisfied: jupyter-client>=5.3.4 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (7.1.2)
Requirement already satisfied: ipywidgets>=7.5.1 in /opt/conda/lib/python3.7/site-packages (from pandas-profiling[notebook]) (7.6.5)
Requirement already satisfied: networkx>=2.4 in /opt/conda/lib/python3.7/site-packages (from visions[type_image_path]==0.7.4->pandas-profiling[notebook]) (2.5)
Requirement already satisfied: attrs>=19.3.0 in /opt/conda/lib/python3.7/site-packages (from visions[type_image_path]==0.7.4->pandas-profiling[notebook]) (21.4.0)
Requirement already satisfied: imagehash in /opt/conda/lib/python3.7/site-packages (from visions[type_image_path]==0.7.4->pandas-profiling[notebook]) (4.2.1)
Requirement already satisfied: Pillow in /opt/conda/lib/python3.7/site-packages (from visions[type_image_path]==0.7.4->pandas-profiling[notebook]) (9.0.1)
Requirement already satisfied: traitlets>=4.3.1 in /opt/conda/lib/python3.7/site-packages (from ipywidgets>=7.5.1->pandas-profiling[notebook]) (5.1.1)
Requirement already satisfied: jupyterlab-widgets>=1.0.0 in /opt/conda/lib/python3.7/site-packages (from ipywidgets>=7.5.1->pandas-profiling[notebook]) (1.0.2)
Requirement already satisfied: ipykernel>=4.5.1 in /opt/conda/lib/python3.7/site-packages (from ipywidgets>=7.5.1->pandas-profiling[notebook]) (6.9.2)
Requirement already satisfied: nbformat>=4.2.0 in /opt/conda/lib/python3.7/site-packages (from ipywidgets>=7.5.1->pandas-profiling[notebook]) (5.2.0)
Requirement already satisfied: widgetsnbextension~=3.5.0 in /opt/conda/lib/python3.7/site-packages (from ipywidgets>=7.5.1->pandas-profiling[notebook]) (3.5.2)
Requirement already satisfied: ipython-genutils~=0.2.0 in /opt/conda/lib/python3.7/site-packages (from ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.2.0)
Requirement already satisfied: ipython>=4.0.0 in /opt/conda/lib/python3.7/site-packages (from ipywidgets>=7.5.1->pandas-profiling[notebook]) (7.32.0)
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Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/lib/python3.7/site-packages (from pydantic>=1.8.1->pandas-profiling[notebook]) (4.1.1)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.7/site-packages (from requests>=2.24.0->pandas-profiling[notebook]) (1.26.8)
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Requirement already satisfied: psutil in /opt/conda/lib/python3.7/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.5.1->pandas-profiling[notebook]) (5.9.0)
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Requirement already satisfied: pygments in /opt/conda/lib/python3.7/site-packages (from ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (2.11.2)
Requirement already satisfied: setuptools>=18.5 in /opt/conda/lib/python3.7/site-packages (from ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (59.8.0)
Requirement already satisfied: pexpect>4.3 in /opt/conda/lib/python3.7/site-packages (from ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (4.8.0)
Requirement already satisfied: pickleshare in /opt/conda/lib/python3.7/site-packages (from ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.7.5)
Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /opt/conda/lib/python3.7/site-packages (from ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (3.0.27)
Requirement already satisfied: decorator in /opt/conda/lib/python3.7/site-packages (from ipython>=4.0.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (5.1.1)
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Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /opt/conda/lib/python3.7/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (4.4.0)
Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.7/site-packages (from python-dateutil>=2.1->jupyter-client>=5.3.4->pandas-profiling[notebook]) (1.16.0)
Requirement already satisfied: notebook>=4.4.1 in /opt/conda/lib/python3.7/site-packages (from widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (6.4.10)
Requirement already satisfied: PyWavelets in /opt/conda/lib/python3.7/site-packages (from imagehash->visions[type_image_path]==0.7.4->pandas-profiling[notebook]) (1.3.0)
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Requirement already satisfied: importlib-metadata in /opt/conda/lib/python3.7/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (4.11.3)
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Requirement already satisfied: pandocfilters>=1.4.1 in /opt/conda/lib/python3.7/site-packages (from nbconvert>=5->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (1.5.0)
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Requirement already satisfied: webencodings in /opt/conda/lib/python3.7/site-packages (from bleach->nbconvert>=5->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (0.5.1)
Requirement already satisfied: pycparser in /opt/conda/lib/python3.7/site-packages (from cffi>=1.0.1->argon2-cffi-bindings->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5.1->pandas-profiling[notebook]) (2.21)
Installing collected packages: tangled-up-in-unicode, markupsafe, joblib, pandas-profiling
Attempting uninstall: tangled-up-in-unicode
Found existing installation: tangled-up-in-unicode 0.1.0
Uninstalling tangled-up-in-unicode-0.1.0:
Successfully uninstalled tangled-up-in-unicode-0.1.0
Attempting uninstall: markupsafe
Found existing installation: MarkupSafe 2.0.1
Uninstalling MarkupSafe-2.0.1:
Successfully uninstalled MarkupSafe-2.0.1
Attempting uninstall: joblib
Found existing installation: joblib 1.0.1
Uninstalling joblib-1.0.1:
Successfully uninstalled joblib-1.0.1
Attempting uninstall: pandas-profiling
Found existing installation: pandas-profiling 3.1.0
Uninstalling pandas-profiling-3.1.0:
Successfully uninstalled pandas-profiling-3.1.0
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
beatrix-jupyterlab 3.1.7 requires google-cloud-bigquery-storage, which is not installed.
pdpbox 0.2.1 requires matplotlib==3.1.1, but you have matplotlib 3.5.1 which is incompatible.
Successfully installed joblib-1.1.0 markupsafe-2.1.1 pandas-profiling-3.2.0 tangled-up-in-unicode-0.2.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
Enabling notebook extension jupyter-js-widgets/extension...
- Validating: OK
As described in the first sentence here you can use IPython's/Jupyter cell magic to 'capture' the noisy output of a cell. And then just not do anything with it. The cell would resemble this for your example code:
%%capture
import sys
!{sys.executable} -m pip install -U pandas-profiling[notebook]
!jupyter nbextension enable --py widgetsnbextension
The use of the cell magic %%capture
at the starting line of a cell is handy trick for suppressing all (I believe) output in a cell, in addition to using it to actually capture cell output for recall/use later.
However, for the special case of pip install
run in a notebook, there is an easier magic command to ensure the installation to the proper environment and a --quiet
flag you can use as an alternative option instead:
%pip install pandas-profiling -q
With that all you see as a result is Note: you may need to restart the kernel to use updated packages.
Note occasionally you may come across something where Jupyter runs the code in a separate process, for example, %run -i <my_script>
and %% capture
won't suppress things like stderr in that case. I have a solution below that works using with capture_output() as captured:
and temporarily replacing sys.stdout
and sys.stderr
with the captured versions, with a 'try - except' to handle the error (but note that alone is not enough to suppress the errors even though without it below doesn't work), if you absolutely want to run the Python script in the current ipykernel namespace like the interactive -i
flag dictates so that say, you can use %watermark --iversions
before and after to see what is imported in the top of the script, regardless if the script code errors out later. (You can use subprocess.run()
and direct the stderr to text if running in the same namespace isn't an issue and that will suppress stderr.)
from IPython.utils.io import capture_output
import sys
original_stdout = sys.stdout
original_stderr = sys.stderr
try:
with capture_output() as captured:
sys.stdout = captured.stdout
sys.stderr = captured.stderr
try:
%run -i my_script.py
except Exception:
pass # Silently ignore any exceptions
# note that if you remove this `try - except` compound statement and just leave `%run -i scripts/view_seqs.py`, you'll be able to see among the errors in the traceback that it is running the script code;
# likewise you can tell it ran because any import statements in the top of the script will run and if you run `%watermark --iversions` before & after you can see what the script imported up until any error encountered
finally:
sys.stdout = original_stdout
sys.stderr = original_stderr