gpt4 book ai didi

python - 如何将具有多个值的嵌套字典导出到 excel

转载 作者:太空宇宙 更新时间:2023-11-04 04:04:45 26 4
gpt4 key购买 nike

我已经为子字典创建了一个包含多个值的嵌套字典,列表形式。简而言之,它看起来像这样:

{1: 
{'Parameter 1': ['Value 1', 'Value 2', 'Value 3'],
'Parameter 2': ['Value 11', 'Value 22', 'Value 33'],
'Parameter 3': ['Num1', 'Num2', 'Num3']},
2:
{'Parameter 1': ['Data 1', 'Data 2', 'Data 3'],
'Parameter 2': ['Data 11', 'Data 22', 'Data 33'],
'Parameter 3': ['Numb1', 'Numb2', 'Numb3'],
'Parameter 4': ['Numb11', 'Numb22', 'Numb33']}
}

我需要将其导出到 Excel 工作表。我想要得到的:

            |               1             |             2            |    
---------------------------------------------------------------------
Parameter 1 | Value 1 | Value 2 | Value 3 | Data 1 | Data 2 | Data 3 |
----------------------------------------------------------------------
Parameter 2 | Value 11| Value 22| Value 33| Data 1 | Data 2 | Data 3 |
----------------------------------------------------------------------
Parameter 3 | Num1 | Num2 | Num3 | Numb1 | Numb2 | Numb3 |
----------------------------------------------------------------------
Parameter 4 | | | | Numb11 | Numb22 | Numb33 |
----------------------------------------------------------------------

但是当我使用 to_excel 方法时,我得到以下信息:

            |               1                    |             2                     |    
--------------------------------------------------------------------------------------
Parameter 1 |['Value 1', 'Value 2', 'Value 3'] | ['Data 1', 'Data 2', 'Data 3'] |
--------------------------------------------------------------------------------------
Parameter 2 |['Value 11', 'Value 22', 'Value 33']| ['Data 11', 'Data 22', 'Data 33'] |
--------------------------------------------------------------------------------------
Parameter 3 | ['Num1', 'Num2', 'Num3'] | ['Numb1', 'Numb2', 'Numb3'] |
--------------------------------------------------------------------------------------
Parameter 4 | | ['Numb11', 'Numb22', 'Numb33'] |
--------------------------------------------------------------------------------------

这很明显。

将此类字典导出到 .csv 是没有用的,因为带有参数 4 的行中的列将向左移动。所以我正在寻找如何使值分别填充单元格,或者如何将文本拆分为列以防工作表中有多个列。我应该以某种方式重新排列源字典吗?

我也猜想,在我的例子中不可能填充字典中“缺失”的行,因为每次我们得到新的子字典时键都会更新。

这是一个实际的例子:

{1: {'Field Cluster': ['This', 'This', 'This'], 'Exploration Block': ['Is', 'Is', 'Is'], 'Producing since': [1923.0, 1923.0, 1923.0], 'Fluids': ['A ', 'A ', 'A '], 'Reservoirs': ['Test', 'Test', 'Test'], 'Area (km2)': ['File', 'File', 'File'], 'Depth (m)': ['A\nHuge\nDepth', 'A\nHuge\nDepth', 'A\nHuge\nDepth'], 'Concession License No.': ['UNIX license', 'UNIX license', 'UNIX license'], 'License Expiry Date / Extension': ['Everlasting', 'Everlasting', 'Everlasting'], 'Working Interest': ['There is one\n', 'There is one\n', 'There is one\n'], 'Gouvernment approval:': ['It is!', 'It is!', 'It is!'], 'Last study:': ['Million years ago', 'Million years ago', 'Million years ago'], 'Parameters': ['Horizon1', 'Horizon2', 'Horizon3'], 'Reservoir rock': ['First', 'Second', 'Third'], 'Net pay thickness (m)': [1.0, 21.0, 41.0], 'Avr. porosity (%)': [2.0, 22.0, 42.0], 'Average absolute permeability  (mD)': [3.0, 23.0, 43.0], 'Swi (%)': [4.0, 24.0, 44.0], 'Initial pressure (at)': [5.0, 25.0, 45.0], 'Bubble Pressure (at.)': [6.0, 26.0, 46.0], 'Dew Point Pressure (at)': [7.0, 27.0, 47.0], 'Initial Solution Ratio (Stm3/m3)': [8.0, 28.0, 48.0], 'Initial Condensate Gas Ratio (g/Stm3)': [9.0, 29.0, 49.0], 'Oil density (kg/cm)': [10.0, 30.0, 50.0], 'Oil viscosity (Pb) (cP)': [11.0, 31.0, 51.0], 'Contaminants (H2S, CO2)': [12.0, 32.0, 52.0], 'Initial Oil in Place (e3 to)': [13.0, 33.0, 53.0], 'Initial NGL in Place (e3 to)': [14.0, 34.0, 54.0], 'Initial Gas (assoc.) in Place (e6 m3) sol.gas/gas cap': [15.0, 35.0, 55.0], 'Initial Gas (non assoc.) in Place (e6 m3)': [16.0, 36.0, 56.0], 'Primary recovery / drive mechanism\nNone': ['Wow\nA', 'Recovery\nNone', 'Mechanism\nNone', ''], 'Secondary recovery': ['Another one', '', '', ''], 'Total Wells': ['1000', '-', '-', ''], 'Productive wells (oil/gas)': ['500', '-', '-', ''], 'Injection wells (water/gas)': ['500', '-', '-', ''], 'Rate of best producer in the field (tons / e3 Sm3/day)': ['30', '-', '-', ''], 'Water injection (e3 m3/day)': ['49', '-', '-', ''], 'Actual Pressure (at)': ['500', '434-3443', '48930', ''], 'Oil cumulative production (e3 tons)': ['37', '-', '-', ''], 'Associated gas cum. production (e6 sm3)': ['4535', '-', '-', ''], 'Non-associated gas cum. production (e6 sm3)': ['-', '-', '-', ''], 'NGL cumulative production (e3 tons)': ['', '-', '-', ''], 'Water Cut (%)': ['378', '-', '-', ''], 'Recovery Factor': ['I love hydrocarbons', '', '', ''], 'Current (%)': ['30 20 46 3', '', '', ''], 'Expected 2P (%)': ['Not really expected', '', '', ''], 'Oil production (tons/day)': ['44', '-', '-', ''], 'Associated gas production (e3 sm3/day)': ['-', '-', '-', ''], 'Non-associated gas production (e3 sm3/day)': ['-', '-', '-', ''], 'NGL production (tons/day)': ['-', '-', '-', '']},
2: {'Field Cluster': ['This', 'This', 'This'], 'Exploration Block': ['Is', 'Is', 'Is'], 'Producing since': [1923.0, 1923.0, 1923.0], 'Fluids': ['A ', 'A ', 'A '], 'Reservoirs': ['Test', 'Test', 'Test'], 'Area (km2)': ['File', 'File', 'File'], 'Depth (m)': ['A\nHuge\nDepth', 'A\nHuge\nDepth', 'A\nHuge\nDepth'], 'Concession License No.': ['UNIX license', 'UNIX license', 'UNIX license'], 'License Expiry Date / Extension': ['Everlasting', 'Everlasting', 'Everlasting'], 'Working Interest': ['There is one\n', 'There is one\n', 'There is one\n'], 'Gouvernment approval:': ['It is!', 'It is!', 'It is!'], 'Last study:': ['Million years ago', 'Million years ago', 'Million years ago'], 'Parameters': ['Horizon1', 'Horizon2', 'Horizon3'], 'Reservoir rock': ['First', 'Second', 'Third'], 'Net pay thickness (m)': [1.0, 21.0, 41.0], 'Avr. porosity (%)': [2.0, 22.0, 42.0], 'Average absolute permeability (mD)': [3.0, 23.0, 43.0], 'Swi (%)': [4.0, 24.0, 44.0], 'Initial pressure (at)': [5.0, 25.0, 45.0], 'Bubble Pressure (at.)': [6.0, 26.0, 46.0], 'Dew Point Pressure (at)': [7.0, 27.0, 47.0], 'Initial Solution Ratio (Stm3/m3)': [8.0, 28.0, 48.0], 'Initial Condensate Gas Ratio (g/Stm3)': [9.0, 29.0, 49.0], 'Oil density (kg/cm)': [10.0, 30.0, 50.0], 'Oil viscosity (Pb) (cP)': [11.0, 31.0, 51.0], 'Contaminants (H2S, CO2)': [12.0, 32.0, 52.0], 'Initial Oil in Place (e3 to)': [13.0, 33.0, 53.0], 'Initial NGL in Place (e3 to)': [14.0, 34.0, 54.0], 'Initial Gas (assoc.) in Place (e6 m3) sol.gas/gas cap': [15.0, 35.0, 55.0], 'Initial Gas (non assoc.) in Place (e6 m3)': [16.0, 36.0, 56.0], 'Primary recovery / drive mechanism\nNone': ['Wow\nA', 'Recovery\nNone', 'Mechanism\nNone', ''], 'Secondary recovery': ['Another one', '', '', ''], 'Total Wells': ['1000', '-', '-', ''], 'Productive wells (oil/gas)': ['500', '-', '-', ''], 'Injection wells (water/gas)': ['500', '-', '-', ''], 'Rate of best producer in the field (tons / e3 Sm3/day)': ['30', '-', '-', ''], 'Water injection (e3 m3/day)': ['49', '-', '-', ''], 'Actual Pressure (at)': ['500', '434-3443', '48930', ''], 'Oil cumulative production (e3 tons)': ['37', '-', '-', ''], 'Associated gas cum. production (e6 sm3)': ['4535', '-', '-', ''], 'Non-associated gas cum. production (e6 sm3)': ['-', '-', '-', ''], 'NGL cumulative production (e3 tons)': ['', '-', '-', ''], 'Water Cut (%)': ['378', '-', '-', ''], 'Recovery Factor': ['I love hydrocarbons', '', '', ''], 'Current (%)': ['30 20 46 3', '', '', ''], 'Expected 2P (%)': ['Not really expected', '', '', ''], 'Oil production (tons/day)': ['44', '-', '-', ''], 'Associated gas production (e3 sm3/day)': ['-', '-', '-', ''], 'Non-associated gas production (e3 sm3/day)': ['-', '-', '-', ''], 'NGL production (tons/day)': ['-', '-', '-', ''], 'WOW Production (Something)': ['1', 2.0, '3', '']}}

例子,应该真的有用

{1: {'Field Cluster': ['This', 'This', 'This'], 'Exploration Block': ['Is', 'Is', 'Is'], 'Producing since': [1923.0, 1923.0, 1923.0], 'Fluids': ['A ', 'A ', 'A '], 'Reservoirs': ['Test', 'Test', 'Test'], 'Area (km2)': ['File', 'File', 'File'], 'Depth (m)': ['A\nHuge\nDepth', 'A\nHuge\nDepth', 'A\nHuge\nDepth'], 'Concession License No.': ['UNIX license', 'UNIX license', 'UNIX license'], 'License Expiry Date / Extension': ['Everlasting', 'Everlasting', 'Everlasting'], 'Working Interest': ['There is one\n', 'There is one\n', 'There is one\n'], 'Gouvernment approval:': ['It is!', 'It is!', 'It is!'], 'Last study:': ['Million years ago', 'Million years ago', 'Million years ago'], 'Parameters': ['Horizon1', 'Horizon2', 'Horizon3'], 'Reservoir rock': ['First', 'Second', 'Third'], 'Net pay thickness (m)': [1.0, 21.0, 41.0], 'Avr. porosity (%)': [2.0, 22.0, 42.0], 'Average absolute permeability  (mD)': [3.0, 23.0, 43.0], 'Swi (%)': [4.0, 24.0, 44.0], 'Initial pressure (at)': [5.0, 25.0, 45.0], 'Bubble Pressure (at.)': [6.0, 26.0, 46.0], 'Dew Point Pressure (at)': [7.0, 27.0, 47.0], 'Initial Solution Ratio (Stm3/m3)': [8.0, 28.0, 48.0], 'Initial Condensate Gas Ratio (g/Stm3)': [9.0, 29.0, 49.0], 'Oil density (kg/cm)': [10.0, 30.0, 50.0], 'Oil viscosity (Pb) (cP)': [11.0, 31.0, 51.0], 'Contaminants (H2S, CO2)': [12.0, 32.0, 52.0], 'Initial Oil in Place (e3 to)': [13.0, 33.0, 53.0], 'Initial NGL in Place (e3 to)': [14.0, 34.0, 54.0], 'Initial Gas (assoc.) in Place (e6 m3) sol.gas/gas cap': [15.0, 35.0, 55.0], 'Initial Gas (non assoc.) in Place (e6 m3)': [16.0, 36.0, 56.0], 'Primary recovery / drive mechanism\nNone': ['Wow\nA', 'Recovery\nNone', 'Mechanism\nNone', ''], 'Secondary recovery': ['Another one', '', '', ''], 'Total Wells': ['1000', '-', '-', ''], 'Productive wells (oil/gas)': ['500', '-', '-', ''], 'Injection wells (water/gas)': ['500', '-', '-', ''], 'Rate of best producer in the field (tons / e3 Sm3/day)': ['30', '-', '-', ''], 'Water injection (e3 m3/day)': ['49', '-', '-', ''], 'Actual Pressure (at)': ['500', '434-3443', '48930', ''], 'Oil cumulative production (e3 tons)': ['37', '-', '-', ''], 'Associated gas cum. production (e6 sm3)': ['4535', '-', '-', ''], 'Non-associated gas cum. production (e6 sm3)': ['-', '-', '-', ''], 'NGL cumulative production (e3 tons)': ['', '-', '-', ''], 'Water Cut (%)': ['378', '-', '-', ''], 'Recovery Factor': ['I love hydrocarbons', '', '', ''], 'Current (%)': ['30 20 46 3', '', '', ''], 'Expected 2P (%)': ['Not really expected', '', '', ''], 'Oil production (tons/day)': ['44', '-', '-', ''], 'Associated gas production (e3 sm3/day)': ['-', '-', '-', ''], 'Non-associated gas production (e3 sm3/day)': ['-', '-', '-', ''], 'NGL production (tons/day)': ['-', '-', '-', '']}, 2: {'Field Cluster': ['This fff', 'This fff', 'This fff', 'This fff'], 'Exploration Block': ['fff', 'fff', 'fff', 'fff'], 'Producing since': ['1923fff', '1923fff', '1923fff', '1923fff'], 'Fluids': ['A fff', 'A fff', 'A fff', 'A fff'], 'Reservoirs': ['Test', 'Test', 'Test', 'Test'], 'Area (km2)': ['File', 'File', 'File', 'File'], 'Depth (m)': ['A\nHuge\nDepthfff', 'A\nHuge\nDepthfff', 'A\nHuge\nDepthfff', 'A\nHuge\nDepthfff'], 'Concession License No.': ['UNIX license', 'UNIX license', 'UNIX license', 'UNIX license'], 'License Expiry Date / Extension': ['Everlastingfff', 'Everlastingfff', 'Everlastingfff', 'Everlastingfff'], 'Working Interest': ['There is one\n', 'There is one\n', 'There is one\n', 'There is one\n'], 'Gouvernment approval:': ['ffff', 'ffff', 'ffff', 'ffff'], 'Last study:': ['Million years fffff', 'Million years fffff', 'Million years fffff', 'Million years fffff'], 'Parameters': ['Horizon1', 'Horizon2', 'Horizon3', 'Horizon4'], 'Reservoir rock': ['First', 'Second', 'Third', 'Fourth'], 'Net pay thickness (m)': [1.0, 21.0, 41.0, 61.0], 'Avr. porosity (%)': [2.0, 22.0, 42.0, 62.0], 'Average absolute permeability  (mD)': [3.0, 23.0, 43.0, 63.0], 'Swi (%)': [4.0, 24.0, 44.0, 64.0], 'Initial pressure (at)': [5.0, 25.0, 45.0, 65.0], 'Bubble Pressure (at.)': [6.0, 26.0, 46.0, 66.0], 'Dew Point Pressure (at)': [7.0, 27.0, 47.0, 67.0], 'Initial Solution Ratio (Stm3/m3)': [8.0, 28.0, 48.0, 68.0], 'Initial Condensate Gas Ratio (g/Stm3)': [9.0, 29.0, 49.0, 69.0], 'Oil density (kg/cm)': [10.0, 30.0, 50.0, 70.0], 'Oil viscosity (Pb) (cP)': [11.0, 31.0, 51.0, 71.0], 'Contaminants (H2S, CO2)': [12.0, 32.0, 52.0, 72.0], 'Initial Oil in Place (e3 to)': [13.0, 33.0, 53.0, 73.0], 'Initial NGL in Place (e3 to)': [14.0, 34.0, 54.0, 74.0], 'Initial Gas (assoc.) in Place (e6 m3) sol.gas/gas cap': [15.0, 35.0, 55.0, 75.0], 'Initial Gas (non assoc.) in Place (e6 m3)': [16.0, 36.0, 56.0, 76.0], 'Primary recovery / drive mechanism\nNone': ['Wow\nA', 'Recovery\nNone', 'Mechanism\nNone', 'Nice\nNone', ''], 'Secondary recovery': ['Another one', '', '', '', ''], 'Total Wells': ['1000', '-', '-', '-', ''], 'Productive wells (oil/gas)': ['500', '-', '-', '-', ''], 'Injection wells (water/gas)': ['500', '-', '-', '-', ''], 'Rate of best producer in the field (tons / e3 Sm3/day)': ['30', '-', '-', '-', ''], 'Water injection (e3 m3/day)': ['49', '-', '-', '-', ''], 'Actual Pressure (at)': ['500', '434-3443', '48930', '4433', ''], 'Oil cumulative production (e3 tons)': ['37', '-', '-', '-', ''], 'Associated gas cum. production (e6 sm3)': ['4535', '-', '-', '-', ''], 'Non-associated gas cum. production (e6 sm3)': ['-', '-', '-', '-', ''], 'NGL cumulative production (e3 tons)': ['', '-', '-', '-', ''], 'Water Cut (%)': ['378', '-', '-', '-', ''], 'Recovery Factor': ['I love hydrocarbons', '', '', '', ''], 'Current (%)': ['30 20 46 3', '', '', '', ''], 'Expected 2P (%)': ['Not really expected', '', '', '', ''], 'Oil production (tons/day)': ['44', '-', '-', '-', ''], 'Associated gas production (e3 sm3/day)': ['-', '-', '-', '-', ''], 'Non-associated gas production (e3 sm3/day)': ['-', '-', '-', '-', ''], 'NGL production (tons/day)': ['-', '-', '-', '-', ''], 'WOW Production (Something)': ['1', 2.0, '3', '4', '']}}

最佳答案

I'm looking either how to make the values fill the cells separately,

我想你可以在这里创建一个多索引:

df=pd.DataFrame(d) # assuming d is the name of the dict
cols=df.columns

final=pd.concat([pd.DataFrame(df[i].dropna().tolist()) for i in cols],axis=1,keys=cols)
final.index=df.index
print(final)

                    1                            2                  
0 1 2 0 1 2
Parameter 1 Value 1 Value 2 Value 3 Data 1 Data 2 Data 3
Parameter 2 Value 11 Value 22 Value 33 Data 11 Data 22 Data 33
Parameter 3 Num1 Num2 Num3 Numb1 Numb2 Numb3
Parameter 4 NaN NaN NaN Numb11 Numb22 Numb33

编辑最后添加的示例:

final1=pd.concat([pd.DataFrame(v).T for k,v in d.items()],axis=1,sort=False,keys=d.keys())

                   1                           2                    
0 1 2 0 1 2
Parameter 1 Data 1 Data 2 Data 3 Value 1 Value 2 Value 3
Parameter 2 Data 11 Data 22 Data 33 Value 11 Value 22 Value 33
Parameter 3 Numb1 Numb2 Numb3 NaN NaN NaN
Parameter 4 Numb11 Numb22 Numb33 Num1 Num2 Num3

关于python - 如何将具有多个值的嵌套字典导出到 excel,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/57570159/

26 4 0
Copyright 2021 - 2024 cfsdn All Rights Reserved 蜀ICP备2022000587号
广告合作:1813099741@qq.com 6ren.com