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개발 툴들은 관리자 권한으로 해주기 C:\Windows\system32>
Anaconda Prompt
(base) C:\Windows\system32>d:
(base) D:\>conda create -n pandas-dev python=3.8(base) D:\>conda activate pandas-dev
(pandas-dev) D:\>conda list
# packages in environment at D:\Anaconda3\envs\pandas-dev:
#
# Name Version Build Channel
ca-certificates 2022.07.19 haa95532_0
certifi 2022.9.14 py38haa95532_0
openssl 1.1.1q h2bbff1b_0
pip 22.1.2 py38haa95532_0
python 3.8.13 h6244533_0
setuptools 63.4.1 py38haa95532_0
sqlite 3.39.2 h2bbff1b_0
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
wheel 0.37.1 pyhd3eb1b0_0
wincertstore 0.2 py38haa95532_2
(pandas-dev) D:\>conda install pandas == numpy matplotlib seabornconda install pandas == numpy matplotlib seaborn
=> == 를 안 적으면 pandas-dev 해당 버전에 알아서 연결 시킨다.
그래서 conda install pandas numpy matplotlib seaborn 이렇게 진행하겠다
이렇게 리스트가 변경됨.
done
Retrieving notices: ...working... done
(pandas-dev) D:\>conda list
# packages in environment at D:\Anaconda3\envs\pandas-dev:
#
# Name Version Build Channel
blas 1.0 mkl
bottleneck 1.3.5 py38h080aedc_0
brotli 1.0.9 h2bbff1b_7
brotli-bin 1.0.9 h2bbff1b_7
ca-certificates 2022.07.19 haa95532_0
certifi 2022.9.14 py38haa95532_0
cycler 0.11.0 pyhd3eb1b0_0
fftw 3.3.9 h2bbff1b_1
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.10.4 hd328e21_0
glib 2.69.1 h5dc1a3c_1
gst-plugins-base 1.18.5 h9e645db_0
gstreamer 1.18.5 hd78058f_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
intel-openmp 2021.4.0 haa95532_3556
jpeg 9e h2bbff1b_0
kiwisolver 1.4.2 py38hd77b12b_0
lerc 3.0 hd77b12b_0
libbrotlicommon 1.0.9 h2bbff1b_7
libbrotlidec 1.0.9 h2bbff1b_7
libbrotlienc 1.0.9 h2bbff1b_7
libclang 12.0.0 default_h627e005_2
libdeflate 1.8 h2bbff1b_5
libffi 3.4.2 hd77b12b_4
libiconv 1.16 h2bbff1b_2
libogg 1.3.5 h2bbff1b_1
libpng 1.6.37 h2a8f88b_0
libtiff 4.4.0 h8a3f274_0
libvorbis 1.3.7 he774522_0
libwebp 1.2.2 h2bbff1b_0
libxml2 2.9.14 h0ad7f3c_0
libxslt 1.1.35 h2bbff1b_0
lz4-c 1.9.3 h2bbff1b_1
matplotlib 3.5.2 py38haa95532_0
matplotlib-base 3.5.2 py38hd77b12b_0
mkl 2021.4.0 haa95532_640
mkl-service 2.4.0 py38h2bbff1b_0
mkl_fft 1.3.1 py38h277e83a_0
mkl_random 1.2.2 py38hf11a4ad_0
munkres 1.1.4 py_0
numexpr 2.8.3 py38hb80d3ca_0
numpy 1.21.5 py38h7a0a035_3
numpy-base 1.21.5 py38hca35cd5_3
openssl 1.1.1q h2bbff1b_0
packaging 21.3 pyhd3eb1b0_0
pandas 1.4.4 py38hd77b12b_0
pcre 8.45 hd77b12b_0
pillow 9.2.0 py38hdc2b20a_1
pip 22.1.2 py38haa95532_0
ply 3.11 py38_0
pyparsing 3.0.9 py38haa95532_0
pyqt 5.15.7 py38hd77b12b_0
pyqt5-sip 12.11.0 py38hd77b12b_0
python 3.8.13 h6244533_0
python-dateutil 2.8.2 pyhd3eb1b0_0
pytz 2022.1 py38haa95532_0
qt-main 5.15.2 he8e5bd7_7
qt-webengine 5.15.9 hb9a9bb5_4
qtwebkit 5.212 h3ad3cdb_4
scipy 1.7.3 py38h7a0a035_2
seaborn 0.11.2 pyhd3eb1b0_0
setuptools 63.4.1 py38haa95532_0
sip 6.6.2 py38hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.39.2 h2bbff1b_0
tk 8.6.12 h2bbff1b_0
toml 0.10.2 pyhd3eb1b0_0
tornado 6.2 py38h2bbff1b_0
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
wheel 0.37.1 pyhd3eb1b0_0
wincertstore 0.2 py38haa95532_2
xz 5.2.5 h8cc25b3_1
zlib 1.2.12 h8cc25b3_3
zstd 1.5.2 h19a0ad4_0
(pandas-dev) D:\>
vscode
=> ctrl + shift + p
인터프리터 경로 설정
'Python 3.8.13 ('pandas-dev')'(으)로 셀을 실행하려면 ipykernel 패키지가 필요합니다. 에러 뜰 때
new terminal해서
터미널에서 conda install -n pandas-dev ipykernel --update-deps --force-reinstall 명령어 입력해주기
그리고
# 02-01 데이터 불러오기
# read_csv() pandas module function : csv 파일 읽기 => dataframe return
# gapminder.csv
# import pandas
# pandas.read_csv()
import pandas as pd
# pd.read_csv()?pd.read_csv?728x90
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