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import pandas as pd df = 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=N..

[ CSV file read ] >>> import pandas as pd >>> df1 = pd.read_csv('sample.csv') >>> df1 StdID Middle Final 0 S01 90 95 1 S02 82 83 2 S03 80 78 3 S04 78 75 4 S05 93 91 [ 'StdID' set index ] >>> df1.set_index('StdID', inplace=True) >>> df1 Middle Final StdID S01 90 95 S02 82 83 S03 80 78 S04 78 75 S05 93 91 * inplace=True option df1.set_index('StdID', inplace=True) => df1 = df1.set_index('StdID') [ ..

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 pd df1 = pd.read_csv('sample.csv') --------------------------------------------------------------------------- [ Error message ] C:\py_test> python sample.py Traceback (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. 천 단위 숫자를 컴마(',')로 구분하기 1.1 format() 함수 사용 >>> format(1234567890, ',') '1,234,567,890' 1.2 f-string으로 문자열 포멧팅하기 >>> f'{1234567890:,}' '1,234,567,890' 2. 천 단위 숫자를 컴마(',') 제거 2.1 split(), join() 함수 이용 >>> ''.join('1,234,567,890'.split(',')) '1234567890' 2.2 replace() 함수 이용 >>> '1,234,567,890'.replace(',', '')

- Error message : ImportError: libf77blas.so.3: cannot open shared object file: No such file or directory - Solutions : $ sudo apt install libatlas-base-dev gangserver@raspberrypi:~/devel/pydev $ python BreamAndSmelt.py Traceback (most recent call last): File "/home/gangserver/devel/pydev/BreamAndSmelt.py", line 35, in from sklearn.neighbors import KNeighborsClassifier File "/usr/local/lib/pytho..

PIP package list $ pip freeze beautifulsoup4==4.12.2 Django==4.2 html5lib==1.1 httplib2==0.20.2 matplotlib==3.7.1 numpy==1.24.2 pandas==2.0.0 Pillow==9.0.1 requests==2.28.2 scikit-learn==1.2.1 scipy==1.10.1 six==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.tx..

1. Anaconda archive download 1.1 Browser download - All https://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..

[ 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..