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Setting longitude and latitude range for mapbox map

I am trying to mark some points on a map. But I would like to zoom in automatically. So I use the following code which works perfectly fine for go.Scattergeo plot.
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
margin = 0.002
fig.update_layout(
title = 'Something',
autosize=False,
width=800,
height=600,
geo = dict(
# projection_scale=8000, #this is kind of like zoom
lonaxis = dict(
range= [ df['longitude'].min()-margin, df['longitude'].max()+margin ],
dtick = 5
),
lataxis = dict (
range= [ df['latitude'].min()-margin, df['latitude'].max()+margin ],
dtick = 5
)
)
)
But when change the plot to mapbox, the lataxis and lonaxis seem not working anymore.
# fig = px.scatter_mapbox(df,
# lat="latitude",
# lon="longitude",
# color="rssi",
# color_continuous_scale=px.colors.cyclical.IceFire)
fig = go.Figure(go.Scattermapbox(
lon = df['longitude'],
lat = df['latitude'],
mode = 'markers',
marker = dict(
autocolorscale = False,
colorscale = 'icefire',
color = df['rssi'],
)))
fig.update_layout(mapbox_style="open-street-map")
Any idea how can make it work? Or how can zoom in and center graph? Any help is appreciated.

How to make a plotly graph wider and higher? [duplicate]

I have made a scatter plot using matplotlib and Plotly. I want the height, width and the markers to be scatter as in matplotlib plot. Please see the attached plots.
I used the following code in Plotly
import plotly
import plotly.plotly as py
from plotly.graph_objs import Scatter
import plotly.graph_objs as go
trace1 = go.Scatter(
x=x1_tsne, # x-coordinates of trace
y=y1_tsne, # y-coordinates of trace
mode='markers ', # scatter mode (more in UG section 1)
text = label3,
opacity = 1,
textposition='top center',
marker = dict(size = 25, color = color_4, symbol = marker_list_2, line=dict(width=0.5)),
textfont=dict(
color='black',
size=18, #can change the size of font here
family='Times New Roman'
)
)
layout = {
'xaxis': {
'showticklabels': False,
'showgrid': False,
'zeroline': False,
'linecolor':'black',
'linewidth':2,
'mirror':True,
'autorange':False,
'range':[-40, 40][![enter image description here][1]][1]
},
'yaxis': {
'showticklabels': False,
'showgrid': False,
'zeroline': False,
'linecolor':'black',
'linewidth':2,
'mirror':True,
'autorange':False,
'range':[-40, 40]
}
}
data = [trace1]
fig = go.Figure(
data= data,
layout= layout)
py.iplot(fig)
I try to tune the range but did not help. In addition, I use Autorange that did not help. Could you please help me with this.
I want the image as
##update: This can be done by the following code. I am updating this in the question:
trace1 = go.Scatter(
x=x1_tsne, # x-coordinates of trace
y=y1_tsne, # y-coordinates of trace
mode='markers +text ', # scatter mode (more in UG section 1)
text = label3,
opacity = 1,
textposition='top center',
marker = dict(size = 25, color = color_4, symbol = marker_list_2, line=dict(width=0.5)),
textfont=dict(
color='black',
size=18, #can change the size of font here
family='Times New Roman'
)
)
data = [trace1]
layout = go.Layout(
autosize=False,
width=1000,
height=1000,
xaxis= go.layout.XAxis(linecolor = 'black',
linewidth = 1,
mirror = True),
yaxis= go.layout.YAxis(linecolor = 'black',
linewidth = 1,
mirror = True),
margin=go.layout.Margin(
l=50,
r=50,
b=100,
t=100,
pad = 4
)
)
fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename='size-margins')

Have you considered to use
fig.update_layout(
autosize=False,
width=800,
height=800,)
and eventually reduce the size of your marker?
UPDATE
Full Code
import plotly.graph_objs as go
trace1 = go.Scatter(
x=x1_tsne, # x-coordinates of trace
y=y1_tsne, # y-coordinates of trace
mode='markers +text ', # scatter mode (more in UG section 1)
text = label3,
opacity = 1,
textposition='top center',
marker = dict(size = 12, color = color_4, symbol = marker_list_2, line=dict(width=0.5)),
textfont=dict(
color='black',
size=18, #can change the size of font here
family='Times New Roman'
)
)
data = [trace1]
layout = go.Layout(
autosize=False,
width=1000,
height=1000,
xaxis= go.layout.XAxis(linecolor = 'black',
linewidth = 1,
mirror = True),
yaxis= go.layout.YAxis(linecolor = 'black',
linewidth = 1,
mirror = True),
margin=go.layout.Margin(
l=50,
r=50,
b=100,
t=100,
pad = 4
)
)
fig = go.Figure(data=data, layout=layout)

Color specific points in a plotly express strip plot

Let's take this sample dataframe :
import random
df=pd.DataFrame({'Id':list(range(1,101)), 'Value':[random.randint(0,50) for i in range(100)]})
I would like to create a plotly express strip plot in which id 5 and 10 are colored in red and the others in blue. I built the following function :
import plotly.express as px
def strip_plotly(df,col_value,col_hover=[],col_color=None,L_color=[]):
if col_color is not None :
L_color = ["red" if i in L_color else "blue" for i in df[col_color].values]
else :
L_color = ["blue"]*len(df.index)
fig = px.strip(df, y=col_value,hover_data = col_hover,color_discrete_sequence = L_color)
fig.update_layout({
'plot_bgcolor': 'rgba(0,0,0,0)',
'paper_bgcolor': 'rgba(0,0,0,0)',
},
hoverlabel=dict(
#bgcolor="white",
font_size=12,
#font_family="Rockwell"
),
xaxis={
'title':"x",
#'type':'log'
},
yaxis={'title':"y"},
title={
'text': "strip plot for stackoverflow",
#'y':0.95,
'x':0.5,
'xanchor': 'center',
'yanchor': 'top'}
)
fig.update_xaxes(showspikes=True, spikecolor = 'black', showline=True, linewidth=1,linecolor='black',
ticks = "outside", tickwidth = 1, tickcolor = 'black',ticklen = 5)
fig.update_yaxes(showspikes=True, spikecolor = 'black', showline=True, linewidth=1,linecolor='black',
ticks = "outside", tickwidth = 1, tickcolor = 'black',ticklen = 5)
fig.show()
But when I run the function :
strip_plotly(df,"Value",col_hover=["Id"],col_color="Id",L_color=[5,10])
I get only blue points (ids 5 and 10 are not red). Would you please explain me what's wrong ?

have reduced size of data frame just to make it clear red points are there...
you need two traces as color is only one per trace https://plotly.github.io/plotly.py-docs/generated/plotly.graph_objects.box.marker.html
to make traces line up have also defined offsetgroup
import random
import plotly.express as px
import numpy as np
import pandas as pd
df=pd.DataFrame({'Id':list(range(1,21)), 'Value':[random.randint(0,50) for i in range(20)]})
def strip_plotly(df,col_value,col_hover=[],col_color=None,L_color=[]):
L_color = np.where(df["Id"].isin([5,10]), "red", "blue")
# need two traces as color is in marker https://plotly.github.io/plotly.py-docs/generated/plotly.graph_objects.box.marker.html
fig = px.strip(df.loc[L_color=="blue"], y=col_value,hover_data = col_hover,color_discrete_sequence = ["blue"])
fig = fig.add_traces(px.strip(df.loc[L_color=="red"], y=col_value,hover_data = col_hover,color_discrete_sequence = ["red"]).data)
fig = fig.update_traces(offsetgroup="1")
fig.update_layout({
'plot_bgcolor': 'rgba(0,0,0,0)',
'paper_bgcolor': 'rgba(0,0,0,0)',
},
hoverlabel=dict(
#bgcolor="white",
font_size=12,
#font_family="Rockwell"
),
xaxis={
'title':"x",
#'type':'log'
},
yaxis={'title':"y"},
title={
'text': "strip plot for stackoverflow",
#'y':0.95,
'x':0.5,
'xanchor': 'center',
'yanchor': 'top'}
)
fig.update_xaxes(showspikes=True, spikecolor = 'black', showline=True, linewidth=1,linecolor='black',
ticks = "outside", tickwidth = 1, tickcolor = 'black',ticklen = 5)
fig.update_yaxes(showspikes=True, spikecolor = 'black', showline=True, linewidth=1,linecolor='black',
ticks = "outside", tickwidth = 1, tickcolor = 'black',ticklen = 5)
return fig.show()
strip_plotly(df,"Value",col_hover=["Id"],col_color="Id",L_color=[5,10])

Here's a much simpler solution.
Create a 'color' column with the desired color
Assign colors based on the values of that column (creates a separate trace for each color)
Overlay traces on top of each other
df=pd.DataFrame({'Id':list(range(1,101)), 'Value':[random.randint(0,50) for i in range(100)]})
df['color'] = np.where(df['Id'].isin([5,10]), 'red', 'blue')
fig = px.strip(df, y='Value', color='color')
fig.update_traces(offsetgroup=0)
fig.show()

How to add labels in plotly?

x2016 = data[data.year == 2016].iloc[:20,:]
num_students_size = [float(each.replace(',', '.')) for each in x2016.num_students]
international_color = [float(each) for each in x2016.international]
trace1 = go.Scatter(
x = x2016.world_rank,
y = x2016.teaching,
mode = "markers",
marker=dict(
color = international_color,
size = num_students_size,
showscale = True
),
text = x2016.university_name
)
data5 = [trace1]
iplot(data5)
This gives bubble plot and it does not show labels . How to add labels please help]1

Your [data5] would be better suited as a go.Figure() object.
There is a good sequence here to follow: https://plotly.com/python/line-and-scatter/#bubble-scatter-plots
Here is the reference to figure labels:
https://plotly.com/python/figure-labels/
fig.update_layout(
title="Plot Title",
xaxis_title="x Axis Title",
yaxis_title="y Axis Title",
font=dict(
family="Courier New, monospace",
size=18,
color="#7f7f7f"
)
)
fig.show()
Additional relevant help and tutorials here:
https://plotly.com/python/line-and-scatter/
So - to give a generic hint here, something like the following should work:
data5 = go.Figure(data=trace1,
title="Plot Title",
xaxis_title="x Axis Title",
yaxis_title="y Axis Title"
)
iplot(data5)

How to show all the numbers in funnel plot in plotly?

I was doing some funnel plot using plotly, however, when I wanted to show the texts outside the box there is no text in left side and there is text in only right side.
setup
from plotly import graph_objects as go
stages = ["Homepage visit", "Search page visit",
"Payment Page", "Payment Confirmation"]
fig = go.Figure()
fig.add_trace(go.Funnel(
name = 'Desktop',
y = stages,
x = [30100, 27090, 2860, 150],
textposition = "outside",
textinfo = "value+percent previous"))
fig.add_trace(go.Funnel(
name = 'Mobile',
orientation = "h",
y = stages,
x = [15100, 12080, 2718, 302],
textposition = "outside",
textinfo = "value+percent previous"))
fig.show()
output
required
I want to see all the numbers. I tried both 'inside' and 'outside' but I was unable to see ALL the numbers.

this is not it, but it is something in this path, try exploring constraintext and text formatting:
from plotly import graph_objects as go
stages = ["Homepage visit", "Search page visit",
"Payment Page", "Payment Confirmation"]
fig = go.Figure()
fig.add_trace(go.Funnel(
name = 'Desktop',
y = stages,
x = [30100, 27090, 2860, 150],
textposition = "inside",
textinfo = "value+percent previous"
, constraintext='outside'
,textfont=dict(
family="sans serif",
size=14,
color="black"
)
)
)
fig.add_trace(go.Funnel(
name = 'Mobile',
orientation = "h",
y = stages,
x = [15100, 12080, 2718, 302],
textposition = "auto",
textinfo = "value+percent previous"))
fig.show()