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I have a dictionary with tuple as keys, like shown below:

('Friday', 0): 108, ('Friday', 1): 110, ('Friday', 2): 75, ... ('Sunday', 23): 120

I`m trying to build a Bar plot, that with the dictionary keys in x axis and dictionary values in Y axis:

trace0 = go.Bar(
 x=pump_dry_day_beh_dic.keys(),
 y=pump_dry_day_beh_dic.values(),
 name ='yyy'

)

fig = tools.make_subplots(rows=1, cols=1, specs=[[]],
 shared_xaxes=True, shared_yaxes=True,
 vertical_spacing=0.001)

fig.append_trace(trace0, 1, 1)
fig.append_trace(trace1, 1, 1)

fig['layout'].update(height=600, width=1000, title='xxx')
fig['layout']['xaxis1'].update(title='day-hour')
fig['layout']['yaxis1'].update(title='Values')
plotly.offline.iplot(fig, filename=' xxx')

But I`m getting the following error:

 The 'x' property is an array that may be specified as a tuple,
 list, numpy array, or pandas Series

On the other hand, if I change the above code to the code below, I have as result an empty plot.

 x=list(pump_dry_day_beh_dic.keys()),
 y=list(pump_dry_day_beh_dic.values()),
 name ='yyyy'

Is there a way how I can solve this?

Thank you,

Since you have pandas tag here...

import pandas as pd

pump_dry_day_beh_dic = ('Friday', 0): 108, ('Friday', 1): 110, 
 ('Friday', 2): 75, ('Sunday', 23): 120
pd.DataFrame([pump_dry_day_beh_dic]).T.plot.bar()