| import streamlit as st | |
| import pandas as pd | |
| st.write("Here's our first attempt at using data to create a table:") | |
| st.write(pd.DataFrame({ | |
| 'first column': [1, 2, 3, 4], | |
| 'second column': [10, 20, 30, 40] | |
| })) | |
| DATE_COLUMN = 'date/time' | |
| DATA_URL = ('https://s3-us-west-2.amazonaws.com/' | |
| 'streamlit-demo-data/uber-raw-data-sep14.csv.gz') | |
| 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 | |