[PYTHON/STREAMLIT] 단일 페이지 앱 만들기

■ 단일 페이지 앱을 만드는 방법을 보여준다.

▶ main.py


import streamlit as st
import pandas    as pd
import numpy     as np

@st.cache_data
def loadData(url, rowCount):
    dataFrame = pd.read_csv(url, nrows = rowCount)
    changeToLowerCaseString = lambda x: str(x).lower()
    dataFrame.rename(changeToLowerCaseString, axis = "columns", inplace = True)
    dataFrame["date/time"] = pd.to_datetime(dataFrame["date/time"])
    return dataFrame

st.title("Uber pickups in NYC")

loadingDataText = st.text("Loading data...")

dataFrame = loadData("https://s3-us-west-2.amazonaws.com/streamlit-demo-data/uber-raw-data-sep14.csv.gz", 10000)

loadingDataText.text("Done! (using st.cache_data)")

if st.checkbox("Show raw data"):
    st.subheader("Raw data")
    st.write(dataFrame)

st.subheader("Number of pickups by hour")

histogramArrayTuple = np.histogram(dataFrame["date/time"].dt.hour, bins = 24, range = (0, 24))

histogramValueNDArray = histogramArrayTuple[0]

st.bar_chart(histogramValueNDArray)

hour = st.slider("hour", 0, 23, 17)

filteredDataFrame = dataFrame[dataFrame["date/time"].dt.hour == hour]

st.subheader("Map of all pickups at %s:00" % hour)

st.map(filteredDataFrame)

import streamlit as st

import pandas as pd

import numpy as np

@st.cache_data

def loadData(url, rowCount):

dataFrame = pd.read_csv(url, nrows = rowCount)

changeToLowerCaseString = lambda x: str(x).lower()

dataFrame.rename(changeToLowerCaseString, axis = "columns", inplace = True)

dataFrame["date/time"] = pd.to_datetime(dataFrame["date/time"])

return dataFrame

st.title("Uber pickups in NYC")

loadingDataText = st.text("Loading data...")

dataFrame = loadData("https://s3-us-west-2.amazonaws.com/streamlit-demo-data/uber-raw-data-sep14.csv.gz", 10000)

loadingDataText.text("Done! (using st.cache_data)")

if st.checkbox("Show raw data"):

st.subheader("Raw data")

st.write(dataFrame)

st.subheader("Number of pickups by hour")

histogramArrayTuple = np.histogram(dataFrame["date/time"].dt.hour, bins = 24, range = (0, 24))

histogramValueNDArray = histogramArrayTuple[0]

st.bar_chart(histogramValueNDArray)

hour = st.slider("hour", 0, 23, 17)

filteredDataFrame = dataFrame[dataFrame["date/time"].dt.hour == hour]

st.subheader("Map of all pickups at %s:00" % hour)

st.map(filteredDataFrame)

▶ requirements.txt


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==5.27.1
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==8.4.1
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

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==5.27.1

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==8.4.1

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.