Python dash_html_components.Th() Examples

The following are 12 code examples of dash_html_components.Th(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module dash_html_components , or try the search function .
Example #1
Source File: dash-html-table-hyperlinks.py    From dash-recipes with MIT License 8 votes vote down vote up 
def Table(dataframe):
    rows = []
    for i in range(len(dataframe)):
        row = []
        for col in dataframe.columns:
            value = dataframe.iloc[i][col]
            # update this depending on which
            # columns you want to show links for
            # and what you want those links to be
            if col == 'id':
                cell = html.Td(html.A(href=value, children=value))
            else:
                cell = html.Td(children=value)
            row.append(cell)
        rows.append(html.Tr(row))
    return html.Table(
        # Header
        [html.Tr([html.Th(col) for col in dataframe.columns])] +

        rows
    )
Example #2
Source File: qb_stats.py    From qb with MIT License 7 votes vote down vote up 
def compute_stats(questions: List[Question], db_path):
    n_total = len(questions)
    n_guesser_train = sum(1 for q in questions if q.fold == 'guesstrain')
    n_guesser_dev = sum(1 for q in questions if q.fold == 'guessdev')
    n_buzzer_train = sum(1 for q in questions if q.fold == 'buzzertrain')
    n_buzzer_dev = sum(1 for q in questions if q.fold == 'buzzerdev')
    n_dev = sum(1 for q in questions if q.fold == 'dev')
    n_test = sum(1 for q in questions if q.fold == 'test')
    columns = ['N Total', 'N Guesser Train', 'N Guesser Dev', 'N Buzzer Train', 'N Buzzer Dev', 'N Dev', 'N Test']
    data = np.array([n_total, n_guesser_train, n_guesser_dev, n_buzzer_train, n_buzzer_dev, n_dev, n_test])
    norm_data = 100 * data / n_total

    return html.Div([
        html.Label('Database Path'), html.Div(db_path),
        html.H2('Fold Distribution'),
        html.Table(
            [
                html.Tr([html.Th(c) for c in columns]),
                html.Tr([html.Td(c) for c in data]),
                html.Tr([html.Td(f'{c:.2f}%') for c in norm_data])
            ]
        )
    ])
Example #3
Source File: dash-table-conditional-formatting.py    From dash-recipes with MIT License 6 votes vote down vote up 
def generate_table(dataframe, max_rows=100):
    max_value = df.max(numeric_only=True).max()
    min_value = df.min(numeric_only=True).max()
    rows = []
    for i in range(min(len(dataframe), max_rows)):
        row = []
        for col in dataframe.columns:
            value = dataframe.iloc[i][col]
            style = cell_style(value, min_value, max_value)
            row.append(html.Td(value, style=style))
        rows.append(html.Tr(row))

    return html.Table(
        # Header
        [html.Tr([html.Th(col) for col in dataframe.columns])] +

        # Body
        rows)
Example #4
Source File: dash_mess.py    From socialsentiment with MIT License 6 votes vote down vote up 
def generate_table(df, max_rows=10):
    return html.Table(className="responsive-table",
                      children=[
                          html.Thead(
                              html.Tr(
                                  children=[
                                      html.Th(col.title()) for col in df.columns.values],
                                  style={'color':app_colors['text']}
                                  )
                              ),
                          html.Tbody(
                              [
                                  
                              html.Tr(
                                  children=[
                                      html.Td(data) for data in d
                                      ], style={'color':app_colors['text'],
                                                'background-color':quick_color(d[2])}
                                  )
                               for d in df.values.tolist()])
                          ]
    )
Example #5
Source File: dash_sqlite.py    From dash-recipes with MIT License 5 votes vote down vote up 
def generate_table(dataframe, max_rows=10):
    return html.Table(
        # Header
        [html.Tr([html.Th(col) for col in dataframe.columns])] +

        # Body
        [html.Tr([
            html.Td(dataframe.iloc[i][col]) for col in dataframe.columns
        ]) for i in range(min(len(dataframe), max_rows))]
    )
Example #6
Source File: dash_download_link.py    From dash-recipes with MIT License 5 votes vote down vote up 
def generate_table(dataframe, max_rows=10):
    return html.Table(
        # Header
        [html.Tr([html.Th(col) for col in dataframe.columns])] +

        # Body
        [html.Tr([
            html.Td(dataframe.iloc[i][col]) for col in dataframe.columns
        ]) for i in range(min(len(dataframe), max_rows))]
    )
Example #7
Source File: sql_dash_dropdown.py    From dash-recipes with MIT License 5 votes vote down vote up 
def generate_table(dataframe, max_rows=10):
    return html.Table(
        # Header
        [html.Tr([html.Th(col) for col in dataframe.columns])] +

        # Body
        [html.Tr([
            html.Td(dataframe.iloc[i][col]) for col in dataframe.columns
        ]) for i in range(min(len(dataframe), max_rows))]
    )
Example #8
Source File: download-raw-data.py    From dash-recipes with MIT License 5 votes vote down vote up 
def generate_table(dataframe, max_rows=10):
    return html.Table(
        # Header
        [html.Tr([html.Th(col) for col in dataframe.columns])] +

        # Body
        [html.Tr([
            html.Td(dataframe.iloc[i][col]) for col in dataframe.columns
        ]) for i in range(min(len(dataframe), max_rows))]
    )
Example #9
Source File: app.py    From dash-earthquakes with MIT License 5 votes vote down vote up 
def create_table(df):
    columns = ['Magnitude', 'Latitude', 'Longitude', 'Time', 'Place', 'Detail']
    num_rows = data['metadata']['count']
    thead = html.Thead(html.Tr([html.Th(col) for col in columns]))
    table_rows = list()
    for i in range(num_rows):
        tr = html.Tr(
            children=list(map(functools.partial(create_td, df.iloc[i]),
                              columns)))
        table_rows.append(tr)
    tbody = html.Tbody(children=table_rows)
    table = html.Table(children=[thead, tbody], id='my-table')
    return table
Example #10
Source File: last_clicked_button.py    From dash-docs with MIT License 5 votes vote down vote up 
def display(btn1, btn2, btn3):
    ctx = dash.callback_context

    if not ctx.triggered:
        button_id = 'No clicks yet'
    else:
        button_id = ctx.triggered[0]['prop_id'].split('.')[0]

    ctx_msg = json.dumps({
        'states': ctx.states,
        'triggered': ctx.triggered,
        'inputs': ctx.inputs
    }, indent=2)

    return html.Div([
        html.Table([
            html.Tr([html.Th('Button 1'),
                     html.Th('Button 2'),
                     html.Th('Button 3'),
                     html.Th('Most Recent Click')]),
            html.Tr([html.Td(btn1 or 0),
                     html.Td(btn2 or 0),
                     html.Td(btn3 or 0),
                     html.Td(button_id)])
        ]),
        html.Pre(ctx_msg)
    ])
Example #11
Source File: getting_started_table.py    From dash-docs with MIT License 5 votes vote down vote up 
def generate_table(dataframe, max_rows=10):
    return html.Table([
        html.Thead(
            html.Tr([html.Th(col) for col in dataframe.columns])
        ),
        html.Tbody([
            html.Tr([
                html.Td(dataframe.iloc[i][col]) for col in dataframe.columns
            ]) for i in range(min(len(dataframe), max_rows))
        ])
    ])
Example #12
Source File: utils.py    From dash-docs with MIT License 4 votes vote down vote up 
def html_table(
    df,
    base_column_style={},
    table_style={},
    column_style={},
    cell_style={},
    cell_style_by_column={},
    header_style={},
    header_style_by_column={},
    row_style={},
    row_style_by_index={},
    odd_row_style={},
    conditional_cell_style=(lambda cell, column: {})
):
    header = []
    for column in df.columns:
        header.append(
            html.Th(
                column,
                style=merge(
                    row_style,
                    base_column_style,
                    cell_style,
                    column_style.get(column, {}),
                    header_style,
                    header_style_by_column.get(column, {}),
                ),
            )
        )

    rows = []
    for i in range(len(df)):
        row = []
        for column in df.columns:
            row.append(
                html.Td(
                    df.iloc[i][column],
                    style=merge(
                        row_style,
                        row_style_by_index.get(i, {}),
                        odd_row_style if i % 2 == 1 else {},
                        cell_style,
                        cell_style_by_column.get(column, {}),
                        conditional_cell_style(df.iloc[i][column], column)
                    ),
                )
            )
        rows.append(html.Tr(row))

    return html.Table(
        [html.Thead(header), html.Tbody(rows)],
        style=merge(table_style, {"marginTop": "20px", "marginBottom": "20px"}),
    )