【1時間で習得できる】機械学習分析ツールStreamlit を簡単なWEBアプリ開発に使ってみよう！

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

st.title('streamlitのサンプルだお')

DATE_COLUMN = 'date/time'
DATA_URL = ('https://s3-us-west-2.amazonaws.com/'
         'streamlit-demo-data/uber-raw-data-sep14.csv.gz')


@st.cache
def load_data(nrows):
    data = pd.read_csv(DATA_URL, nrows=nrows)
    lowercase = lambda x: str(x).lower()
    data.rename(lowercase, axis='columns', inplace=True)
    data[DATE_COLUMN] = pd.to_datetime(data[DATE_COLUMN])
    return data

# Create a text element and let the reader know the data is loading.
data_load_state = st.text('Loading data...')
# Load 10,000 rows of data into the dataframe.
data = load_data(10000)
# Notify the reader that the data was successfully loaded.
data_load_state.text('Loading data...done!')

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



st.subheader('Number of pickups by hour')
hist_values = np.histogram(data[DATE_COLUMN].dt.hour, bins=24, range=(0,24))[0]
st.bar_chart(hist_values)



# Some number in the range 0-23
hour_to_filter = st.slider('hour', 0, 23, 17)
filtered_data = data[data[DATE_COLUMN].dt.hour == hour_to_filter]

st.write(hour_to_filter)

st.text('This is some text.')

#ボタン処理
if st.button('ボタンの処理も作れる'):
    #ボタン押された
    st.write('Why hello there')
else:
    st.write('Goodbye')

#テキスト入力欄も作れるよ
st.text_area('labelだお', value="")