WIP: Resolve "Add option to include under and overflow bins"

Closes #58 (closed)

examples/Histogram.ipynb

 %% Cell type:code id: tags:
 
 ``` python
 import pandas as pd
 import seaborn as sns
 
 from nnfwtbn import Variable, Process, Cut, hist, McStack, DataStack, Stack
 from nnfwtbn import toydata
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 df = toydata.get()
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 df
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 p_ztt = Process(r"$Z\rightarrow\tau\tau$", range=(0, 0))
 p_sig = Process(r"Signal", range=(1, 1))
 
 p_asimov = Process(r"Asimov", selection=lambda d: d.fpid >= 0)
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 colors = ["windows blue", "amber", "greyish", "faded green", "dusty purple"]
 s_bkg = McStack(p_ztt, p_sig, palette=sns.xkcd_palette(colors))
 s_data = DataStack(p_asimov)
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 v_higgs_m = Variable(r"$m^H$", "higgs_m", "GeV")
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 c_vbf = Cut(lambda d: d.dijet_p4__M  > 400) & \
         Cut(lambda d: d.jet_1_p4__Pt >= 30) & \
         Cut(lambda d: d.is_dijet_centrality == 1) & \
         Cut(lambda d: d.jet_0_p4__Eta * df.jet_1_p4__Eta < 0) & \
         Cut(lambda d: (d.jet_0_p4__Eta - df.jet_1_p4__Eta).abs() > 3)
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 hist(df, v_higgs_m, 20, [s_bkg, s_data], range=(0, 200), selection=None,
      weight="weight",  ratio_label="Data / SM")
 None
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
+hist(df, v_higgs_m, 22, [s_bkg, s_data], range=(75, 130), selection=None,
+     weight="weight",  ratio_label="Data / SM", include_outside=True)
+None
 ```
 
+%% Cell type:code id: tags:
 
 ``` python
 hist(df, v_higgs_m, 20, [s_bkg, s_data], range=(0, 200), selection=None,
      weight="weight",  ratio_label="Data / SM", y_log=True, numerator=None)
 None
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 hist(df, v_higgs_m, 20, [s_bkg, s_data], range=(0, 200), selection=None,
      weight="weight", ratio_label="MC / Data", y_log=True, y_min=1e-1,
      vlines=[80, {'x': 100, 'color': 'b'}])
 None
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 s_sig = McStack(p_sig)
 s_ztt = McStack(p_ztt)
 
 hist(df, v_higgs_m, 20, [s_bkg, s_data], range=(40, 120), selection=None,
      weight="weight", ratio_label="Signal / Bkg", y_log=True, y_min=1e-1,
      vlines=[80, {'x': 100, 'color': 'b'}], numerator=s_sig, denominator=s_ztt)
 None
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 hist(df, v_higgs_m, 20, [s_bkg, s_data], range=(0, 200), selection=None,
      weight="weight", ratio_label="Data - Bkg", y_log=True, y_min=1e-1, diff=True,
      vlines=[80, {'x': 100, 'color': 'b'}], numerator=s_data, denominator=s_ztt)
 None
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 hist(df, v_higgs_m, 20, [s_bkg, s_data], range=(0, 200), selection=None,
      weight="weight",  ratio_label="Data / SM", info=False, atlas="Work in progress")
 None
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 import nnfwtbn.plot as nnp
 nnp.INFO = "$\sqrt{s} = 13\,\mathrm{TeV}$, $140\,\mathrm{fb}^{-1}$"
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 hist(df, v_higgs_m, 20, [s_bkg, s_data], range=(0, 200), selection=None,
      weight="weight",  ratio_label="Data / SM")
 None
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 colors = ["windows blue", "amber", "greyish", "faded green", "dusty purple"]
 colors = sns.xkcd_palette(colors)
 
 s_sig = McStack(p_sig, color=colors[0], histtype='step')
 s_ztt = McStack(p_ztt, color=colors[1], histtype='step')
 
 hist(df, v_higgs_m, 20, [s_sig, s_ztt], range=(0, 200), selection=None,
      weight="weight",  numerator=None, density=True)
 None
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 ```
 
-%% Cell type:code id: tags:
 
 ``` python
 ```