Reports

You can convert your dict items into pd.Series() and then you can assign with theirs keys as follows:

I had encountered a similar problem before and this post has the answer. https://stackoverflow.com/a/42382321/18533317

import pandas as pd

ScaleX_Adjustment = {
    'X-Raw': [range(0, 34), list(range(34, 61)), range(61, 124), list(range(124, 179))],
    '1-8B': [+20, +20, +20, +20, +19, +18, +17, +17, +16, +15, +14, +13, +13, +12, +11, +10, +9, +9, +8, +7, +6, +5,
             +5, +4, +3, +2, +1, +1, 0, -1, -1, -1, -2, -2, -3, -3, -3, -4, -4, -5, -5, -5, -6, -6, -7, -7, -7, -8,
             -8, -9, -9 - 9, -10, -10, -11, -11, -11, -12, -12, -13, -13, -13, -14, -14, -15, -15, -15, -16, -16,
             -17, -17, -17, -18, -18, -19, -19, -19, -20, -20, -20, -20, -20, -20, -20],
    'S-PP': [+10, +10, +10, +10, +10, +10, 9, 9, 9, 8, 8, 7, 7, 7, 6, 6, 5, 5, 5, 4, 4, 3, 3, 3, 2, 2, 1, 1, 0, -1,
             -1, -1, -2, -2, -2, -2, -2, -3, -3, -3, -3, -3, -4, -4, -4, -4, -4, -5, -5, -5, -5, -5, -6, -6, -6, -6,
             -6, -7, -7, -7, -7, -7, -8, -8, -8, -8, -8, -9, -9, -9, -9, -9, -10, -10, -10, -10, -10, -11, -11, -11,
             -11, -11, -11, -11]
}

temp={}
for key in ScaleX_Adjustment.keys():
    temp[key]=pd.Series(ScaleX_Adjustment[key])

ScaleX_Adjustment_DF = pd.DataFrame()
for key in ScaleX_Adjustment.keys():
    ScaleX_Adjustment_DF[key]=temp[key]

79301592