Unable to plot histogram dataframe (y axes count, x axes label)

[anitto]

Hi there
I should plot a count bar chart of Dataframe generated from a dict.
Here is my code:

import plotly.offline as py
import plotly.graph_objs as go
import numpy as np
import pandas as pd

#use the next line if you are using notebook
py.init_notebook_mode(connected=True)

d = {'facebook': 1876, 'twitter': 512, 'linkedin': 8, 'pinterest': 18, 'google+': 97, 'instagram': 145}
count_social = pd.DataFrame.from_dict(d,orient='index')
count_social.columns= ['social']

data = [go.Histogram(x=count_social['social'],
                     histnorm='count',
                     name='Social accounts'
                    )]


# IPython notebook
layout = go.Layout(
    bargap=0.2,
)
fig = go.Figure(data=data, layout=layout)
py.iplot(fig)

I want six bin on x axes (one for each social network) and count of in y values, but I am unable to get it.

Any help is appreciated!
Thanks

[jmmease]

Hi @anitto,

Since you already know the heights of each bar (the count) you can actually use a plain Bar trace rather than a Histogram trace. For example

import plotly.offline as py
import plotly.graph_objs as go
import numpy as np
import pandas as pd

#use the next line if you are using notebook
py.init_notebook_mode(connected=True)

d = {'facebook': 1876, 'twitter': 512, 'linkedin': 8, 'pinterest': 18, 'google+': 97, 'instagram': 145}
count_social = pd.DataFrame.from_dict(d,orient='index')
count_social.columns= ['social']

data = [go.Bar(x=count_social.index,
               y=count_social['social'],
               name='Social accounts')]


# IPython notebook
layout = go.Layout(
    bargap=0.2,
)
fig = go.Figure(data=data, layout=layout)
py.iplot(fig)

The Histogram trace would be useful if you were starting with a list of social networks and you hadn’t yet determined the number of times each one appears. For example:

data = [go.Histogram(
    x=['facebook', 'facebook', 'facebook',
       'twitter',
       'linkedin', 'linkedin'],
    name='Social accounts')]

# IPython notebook
layout = go.Layout(
    bargap=0.2,
)
fig = go.Figure(data=data, layout=layout)
py.iplot(fig)

I hope that helps clear things up a bit!