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import pandas as pddf = pd.read_csv('sample.csv') df.median() or df.corr() [ Error message ]---------------------------------------------------------------------------------------------------------------------------------:1: FutureWarning: The default value of numeric_only in DataFrame.median is deprecated. In a future version, it will default to False. In addition, specifying 'numeric_only=Non..

[ CSV file read ]>>> import pandas as pd >>> df1 = pd.read_csv('sample.csv')>>> df1 StdID Middle Final0 S01 90 951 S02 82 832 S03 80 783 S04 78 754 S05 93 91 [ 'StdID' set index ]>>> df1.set_index('StdID', inplace=True)>>> df1 Middle FinalStdIDS01 90 95S02 82 83S03 80 78S04 78 75S05 ..

import pandas as pd df = pd.read_csv('sample.csv') --------------------------------------------------------------------------- UnicodeDecodeError Traceback (most recent call last) in () ----> 1 df = pd.read_csv('sample.csv') 10 frames /usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx in pandas._libs.parsers.raise_parser_error() UnicodeDecodeError: 'utf-8' codec can't decode byte 0..

[ Code ]---------------------------------------------------------------------------import pandas as pddf1 = pd.read_csv('sample.csv')--------------------------------------------------------------------------- [ Error message ]C:\py_test> python sample.pyTraceback (most recent call last): File "C:\py_test\sample.py", line 3, in df1 = pd.read_csv('sample.csv') File "C:\Python\Python39\lib\si..

1. 숫자를 천단위 컴마(",")로 추가하기 1.1 format() 함수 사용format(숫자, ",")>>> format(1234567890, ",")'1,234,567,890' 1.2 f-strings 방식으로 문자열 포멧팅하기f"{숫자:,d}" 또는 f"{숫자:,}">>> f"{1234567890:,d}"'1,234,567,890'>>> f"{1234567890:,}"'1,234,567,890' 1.3 {} 기호 방식으로 문자열 포멧팅하기"{:,d}".format(숫자) 또는 "{:,}".format(숫자)>>> "{:,d}".format(1234567890)'1,234,567,890'>>> "{:,}".format(1234567890)'1,234,567,890' 2. 숫자에서 천단위 컴마(","..

[ Error message ]ImportError: libf77blas.so.3: cannot open shared object file: No such file or directory [ Solution ]- Install libatlas-base-dev$ sudo apt install libatlas-base-dev [ Python ]gangserver@raspberrypi:~/devel/pydev $ python BreamAndSmelt.pyTraceback (most recent call last): File "/home/gangserver/devel/pydev/BreamAndSmelt.py", line 35, in from sklearn.neighbors import KNeighbo..

PIP package list $ pip freezebeautifulsoup4==4.12.2Django==4.2html5lib==1.1httplib2==0.20.2matplotlib==3.7.1numpy==1.24.2pandas==2.0.0Pillow==9.0.1requests==2.28.2scikit-learn==1.2.1scipy==1.10.1six==1.16.0 PIP package backup (file : requirements.txt)$ pip freeze > requirements.txt => Copy other pc file(requirements.txt) PIP package restore $ pip install --upgrade -r requirements.txtRequirement..

1. Anaconda archive download1.1 Browser download- Allhttps://repo.anaconda.com/archive/ - Linux :https://repo.anaconda.com/archive/Anaconda3-2023.03-Linux-x86_64.sh - Windows :https://repo.anaconda.com/archive/Anaconda3-2023.03-Windows-x86_64.exe 1.2 Terminal download$ wget https://repo.anaconda.com/archive/Anaconda3-2023.03-Linux-x86_64.sh 2. Conda install$ cd /conda_download_dir$ chmod u+x Ana..

[ telnetlib (telnetlib3) ] $ pip install telnetlib3 Defaulting to user installation because normal site-packages is not writeable Collecting telnetlib3 Downloading telnetlib3-2.0.0-py2.py3-none-any.whl (89 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.2/89.2 kB 3.5 MB/s eta 0:00:00 Installing collected packages: telnetlib3 Successfully installed telnetlib3-2.0.0 $ pip install telnetlib Default..

[ Ubuntu 22.04 / 20.04 ] [ pip install ] $ sudo apt install python3-pip [ pip version ] $ pip --version pip 22.0.2 from /usr/lib/python3/dist-packages/pip (python 3.10) [ pip upgrade ] $ pip install --upgrade pip Defaulting to user installation because normal site-packages is not writeable Requirement already satisfied: pip in /usr/lib/python3/dist-packages (22.0.2) Collecting pip Downloading pi..