uploaded_file=st.file_uploader("上传一个数据文件",type=['csv','txt'])upload_file_example 0x05...
upload_file = st.file_uploader("上传CSV文件", type=["csv"]) if upload_file: new_data = pd.read_csv(upload_file) st.write("预览数据:") st.dataframe(new_data.head()) if st.button("导入数据"): conn = get_connection() try: new_data.to_sql(selected_table, conn, if_exists="appe...
import pandas as pd file = st.file_uploader("Upload a file", type="csv") if st.button('Get data'): df = pd.read_csv(file) # This display will go away with the user's next action. st.write(df) if st.button('Save'): # This will always error. df.to_csv('data.csv') 5 ...
st.dataframe st.metric st.json st.line_chart st.bar_chart st.area_chart st.map_chart st.pyplot : matplotlib 的 figure st.plotly_chart: plotly 的 figure and more 代码语言:javascript 代码运行次数:0 运行 AI代码解释 %%writefile demo.py import streamlit as st import numpy as np import pandas...
name") #数字输入 numberx = st.number_input("pick a number",0,10) #文本区域(多行输入) text =st.text_area("text to tranlate") #日期输入 date=st.date_input("plase inpt date") #时间输入 timex= st.time_input("meeting time") #文件上传器 file_obj = st.file_uploader("upload a ...
import streamlit as st import pandas as pd import matplotlib.pyplot as plt import seaborn as sns st.write('上传penguins.csv文件,然后选择不同的两个企鹅特征,用散点图观察其分布形式。') #创建文件上传组件,如果上传失败则返回None upload_file = st.file_uploader( label = "上传数据集CSV文件" #自定...
st.time_input():此函数用于显示时间输入小部件,以选择时间。st.text_area():这个函数用于显示一个文本输入小部件,其中包含多行文本。st.file_uploader():此函数用于显示一个文件上载器小部件。st.color_picker():该函数用于显示颜色选择器小部件以选择颜色。
"csv"])if upload_file: new_data = pd.read_csv(upload_file) st.write("预览数据:") st.dataframe(new_data.head())if st.button("导入数据"): conn = get_connection()try: new_data.to_sql(selected_table, conn, if_exists="append", index=False) st.success(f"成功导入...
使用st.file_uploader创建文件上传组件,并限定文件类型为 Excel 文件。 封装上传逻辑 将上传逻辑封装到一个模块中,例如data_loader.py,并在主页面中调用。 # data_loader.pyimportstreamlitasstimportpandasaspddefupload_file():uploaded_file=st.file_uploader("上传 Excel 文件",type=["xlsx","xls"])ifuploaded...
import streamlit as stimport pandas as pdfile = st.file_uploader("Upload a file", type="csv")if st.button('Get data'):df = pd.read_csv(file)# This display will go away with the user's next action.st.write(df)if st.button('Save'):# This will always error.df.to_csv('data....