I am trying to create a single page dashboard, and having issues with the sizing of some elements (I am using dash bootstrap theme). The first one is about some cards, that are so tall, relative to the metrics in it. How can I reduce the heigt of the card? Here is the image, and then the code:
Code:
fig = go.Figure()
fig.add_trace(go.Indicator(
id= "stats",
mode="number+delta",
value = 200,
domain = {'row': 0, 'column': 0},
delta = {'reference': 400, 'relative': True, 'position' : "top"}
)
)
card_content = dbc.Card(
[
dbc.CardHeader("This is the header"),
dbc.CardBody(
[
dcc.Graph(figure=fig)
],
),
],
)
row_1 = dbc.Row(
[
dbc.Col(dcc.Graph(figure=fig),),
dbc.Col(dbc.Card(card_content, color="secondary", outline=True)),
dbc.Col(dbc.Card(card_content, color="info", outline=True)),
dbc.Col(dbc.Card(card_content, color="secondary", outline=True)),
dbc.Col(dbc.Card(card_content, color="info", outline=True)),
],
)
The second issue is also relate to size, of a map. The map seems small in this view, and I want to make it full, container view. How to do that?
Here is the code:
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_us_cities.csv')
df.head()
df['text'] = df['name'] + '<br>Population ' + (df['pop']/1e6).astype(str)+' million'
limits = [(0,2),(3,10),(11,20),(21,50),(50,3000)]
colors = ["royalblue","crimson","lightseagreen","orange","lightgrey"]
cities = []
scale = 5000
figmap = go.Figure()
for i in range(len(limits)):
lim = limits[i]
df_sub = df[lim[0]:lim[1]]
figmap.add_trace(go.Scattergeo(
locationmode = 'USA-states',
lon = df_sub['lon'],
lat = df_sub['lat'],
text = df_sub['text'],
marker = dict(
size = df_sub['pop']/scale,
color = colors[i],
line_color='rgb(40,40,40)',
line_width=0.5,
sizemode = 'area'
),
name = '{0} - {1}'.format(lim[0],lim[1])))
figmap.update_layout(
title_text = '2014 US city populations<br>(Click legend to toggle traces)',
showlegend = True,
geo = dict(
scope = 'usa',
landcolor = 'rgb(217, 217, 217)',
)
)
Thank you