[PYTHON/STREAMLIT] scatter_chart 함수 : SCATTER 차트 그리기
■ scatter_chart 함수를 사용해 SCATTER 차트를 그리는 방법을 보여준다. ▶ main.py
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 |
import streamlit as st import pandas as pd import numpy as np if "df" not in st.session_state: st.session_state.dataFrame = pd.DataFrame(np.random.randn(20, 2), columns = ["x", "y"]) st.header("Choose a datapoint color") color = st.color_picker("Color", "#FF0000") st.divider() st.scatter_chart(st.session_state.dataFrame, x = "x", y = "y", color = color) |
▶ requirements.txt
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 |
altair==5.3.0 attrs==23.2.0 blinker==1.8.2 cachetools==5.3.3 certifi==2024.6.2 charset-normalizer==3.3.2 click==8.1.7 gitdb==4.0.11 GitPython==3.1.43 idna==3.7 Jinja2==3.1.4 jsonschema==4.22.0 jsonschema-specifications==2023.12.1 markdown-it-py==3.0.0 MarkupSafe==2.1.5 mdurl==0.1.2 numpy==2.0.0 packaging==24.1 pandas==2.2.2 pillow==10.3.0 protobuf==5.27.2 pyarrow==16.1.0 pydeck==0.9.1 Pygments==2.18.0 python-dateutil==2.9.0.post0 pytz==2024.1 referencing==0.35.1 requests==2.32.3 rich==13.7.1 rpds-py==0.18.1 six==1.16.0 smmap==5.0.1 streamlit==1.36.0 tenacity==8.4.2 toml==0.10.2 toolz==0.12.1 tornado==6.4.1 typing_extensions==4.12.2 tzdata==2024.1 urllib3==2.2.2 watchdog==4.0.1 |
※ pip install streamlit 명령을 실행했다.