C# Generate Nested Dictionaries from the a List












3














I managed to pull the following data from the database into a List<> using Entity Framework.



id      Variable        Value   Coef
--------------------------------------
1000 Gender Male 0
1001 Gender Female -0.205
1009 College Code AT -1.732
1010 College Code BU -1.806
1011 College Code EH -1.728
1012 College Code EN -2.003
1013 College Code LF -1.779
1014 College Code pp -2.042
1015 College Code SC -2.070
1016 College Code UC -1.845
1017 AGI AGI N/A 0.236
1018 AGI 0 -0.684


I am a bit new to C#, so I wanted to know what would be the best way to create a nested Dictionary with the following format:



//to construct a dictionary to hold Dictionary<Variable, {Value, Coef}>
Dictionary<string, Dictionary<string, double>> data = Dictionary<string, Dictionary<string, double>>();


So, for instance, I could access the data like this:



Console.WriteLine(data['Gender']['Male']) //returns 0
Console.WriteLine(data['College Code']['LF']) //returns -1.779









share|improve this question




















  • 1




    What have you tried so far?
    – John Wu
    Nov 19 '18 at 18:47






  • 2




    It would be simpler if you combined those values into one key like data["College Code=LF"]. If you can't do that then you need a custom type for the first lookup with its own string indexer that returns a IDictionary<string,decimal> implementation.
    – Igor
    Nov 19 '18 at 18:48












  • @JohnWu I have tried to do it with nested foreach loop but I ended up with nonsensical result. Basically I got stuck.
    – jax
    Nov 19 '18 at 18:50






  • 1




    @Igor That is a good idea. I will try that but will check back.
    – jax
    Nov 19 '18 at 18:52










  • Shouldn't data["Gender"]["Male"] return 0?
    – juharr
    Nov 19 '18 at 19:10
















3














I managed to pull the following data from the database into a List<> using Entity Framework.



id      Variable        Value   Coef
--------------------------------------
1000 Gender Male 0
1001 Gender Female -0.205
1009 College Code AT -1.732
1010 College Code BU -1.806
1011 College Code EH -1.728
1012 College Code EN -2.003
1013 College Code LF -1.779
1014 College Code pp -2.042
1015 College Code SC -2.070
1016 College Code UC -1.845
1017 AGI AGI N/A 0.236
1018 AGI 0 -0.684


I am a bit new to C#, so I wanted to know what would be the best way to create a nested Dictionary with the following format:



//to construct a dictionary to hold Dictionary<Variable, {Value, Coef}>
Dictionary<string, Dictionary<string, double>> data = Dictionary<string, Dictionary<string, double>>();


So, for instance, I could access the data like this:



Console.WriteLine(data['Gender']['Male']) //returns 0
Console.WriteLine(data['College Code']['LF']) //returns -1.779









share|improve this question




















  • 1




    What have you tried so far?
    – John Wu
    Nov 19 '18 at 18:47






  • 2




    It would be simpler if you combined those values into one key like data["College Code=LF"]. If you can't do that then you need a custom type for the first lookup with its own string indexer that returns a IDictionary<string,decimal> implementation.
    – Igor
    Nov 19 '18 at 18:48












  • @JohnWu I have tried to do it with nested foreach loop but I ended up with nonsensical result. Basically I got stuck.
    – jax
    Nov 19 '18 at 18:50






  • 1




    @Igor That is a good idea. I will try that but will check back.
    – jax
    Nov 19 '18 at 18:52










  • Shouldn't data["Gender"]["Male"] return 0?
    – juharr
    Nov 19 '18 at 19:10














3












3








3







I managed to pull the following data from the database into a List<> using Entity Framework.



id      Variable        Value   Coef
--------------------------------------
1000 Gender Male 0
1001 Gender Female -0.205
1009 College Code AT -1.732
1010 College Code BU -1.806
1011 College Code EH -1.728
1012 College Code EN -2.003
1013 College Code LF -1.779
1014 College Code pp -2.042
1015 College Code SC -2.070
1016 College Code UC -1.845
1017 AGI AGI N/A 0.236
1018 AGI 0 -0.684


I am a bit new to C#, so I wanted to know what would be the best way to create a nested Dictionary with the following format:



//to construct a dictionary to hold Dictionary<Variable, {Value, Coef}>
Dictionary<string, Dictionary<string, double>> data = Dictionary<string, Dictionary<string, double>>();


So, for instance, I could access the data like this:



Console.WriteLine(data['Gender']['Male']) //returns 0
Console.WriteLine(data['College Code']['LF']) //returns -1.779









share|improve this question















I managed to pull the following data from the database into a List<> using Entity Framework.



id      Variable        Value   Coef
--------------------------------------
1000 Gender Male 0
1001 Gender Female -0.205
1009 College Code AT -1.732
1010 College Code BU -1.806
1011 College Code EH -1.728
1012 College Code EN -2.003
1013 College Code LF -1.779
1014 College Code pp -2.042
1015 College Code SC -2.070
1016 College Code UC -1.845
1017 AGI AGI N/A 0.236
1018 AGI 0 -0.684


I am a bit new to C#, so I wanted to know what would be the best way to create a nested Dictionary with the following format:



//to construct a dictionary to hold Dictionary<Variable, {Value, Coef}>
Dictionary<string, Dictionary<string, double>> data = Dictionary<string, Dictionary<string, double>>();


So, for instance, I could access the data like this:



Console.WriteLine(data['Gender']['Male']) //returns 0
Console.WriteLine(data['College Code']['LF']) //returns -1.779






c#






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 20 '18 at 1:10









Tetsuya Yamamoto

14.7k42040




14.7k42040










asked Nov 19 '18 at 18:45









jaxjax

4251128




4251128








  • 1




    What have you tried so far?
    – John Wu
    Nov 19 '18 at 18:47






  • 2




    It would be simpler if you combined those values into one key like data["College Code=LF"]. If you can't do that then you need a custom type for the first lookup with its own string indexer that returns a IDictionary<string,decimal> implementation.
    – Igor
    Nov 19 '18 at 18:48












  • @JohnWu I have tried to do it with nested foreach loop but I ended up with nonsensical result. Basically I got stuck.
    – jax
    Nov 19 '18 at 18:50






  • 1




    @Igor That is a good idea. I will try that but will check back.
    – jax
    Nov 19 '18 at 18:52










  • Shouldn't data["Gender"]["Male"] return 0?
    – juharr
    Nov 19 '18 at 19:10














  • 1




    What have you tried so far?
    – John Wu
    Nov 19 '18 at 18:47






  • 2




    It would be simpler if you combined those values into one key like data["College Code=LF"]. If you can't do that then you need a custom type for the first lookup with its own string indexer that returns a IDictionary<string,decimal> implementation.
    – Igor
    Nov 19 '18 at 18:48












  • @JohnWu I have tried to do it with nested foreach loop but I ended up with nonsensical result. Basically I got stuck.
    – jax
    Nov 19 '18 at 18:50






  • 1




    @Igor That is a good idea. I will try that but will check back.
    – jax
    Nov 19 '18 at 18:52










  • Shouldn't data["Gender"]["Male"] return 0?
    – juharr
    Nov 19 '18 at 19:10








1




1




What have you tried so far?
– John Wu
Nov 19 '18 at 18:47




What have you tried so far?
– John Wu
Nov 19 '18 at 18:47




2




2




It would be simpler if you combined those values into one key like data["College Code=LF"]. If you can't do that then you need a custom type for the first lookup with its own string indexer that returns a IDictionary<string,decimal> implementation.
– Igor
Nov 19 '18 at 18:48






It would be simpler if you combined those values into one key like data["College Code=LF"]. If you can't do that then you need a custom type for the first lookup with its own string indexer that returns a IDictionary<string,decimal> implementation.
– Igor
Nov 19 '18 at 18:48














@JohnWu I have tried to do it with nested foreach loop but I ended up with nonsensical result. Basically I got stuck.
– jax
Nov 19 '18 at 18:50




@JohnWu I have tried to do it with nested foreach loop but I ended up with nonsensical result. Basically I got stuck.
– jax
Nov 19 '18 at 18:50




1




1




@Igor That is a good idea. I will try that but will check back.
– jax
Nov 19 '18 at 18:52




@Igor That is a good idea. I will try that but will check back.
– jax
Nov 19 '18 at 18:52












Shouldn't data["Gender"]["Male"] return 0?
– juharr
Nov 19 '18 at 19:10




Shouldn't data["Gender"]["Male"] return 0?
– juharr
Nov 19 '18 at 19:10












3 Answers
3






active

oldest

votes


















2














var data = _dbContext.Tbl.ToDictionary(_ => _.Variable + "=" + _.Value, _ => _.Coef, StringComparer.OrdinalIgnoreCase);


With the data you have shown there is no need to group, just create your composite key and specify the value. I also recommend using a case insensitive key.



You would then access the data this way where College Code=LF is the key.



Console.WriteLine(data["College Code=LF"]);





share|improve this answer





















  • great solution. I used foreach to do the same but this one is more elegant.
    – jax
    Nov 19 '18 at 19:30



















2














Using some initial data as follows



public class data
{
public int id { get; set; }
public string Variable { get; set; }
public string Value { get; set; }
public decimal Coef { get; set; }
}

var listy = new List<data>() {
new data() { id=1000, Variable="Gender", Value="Male", Coef=0m },
new data() { id=1001, Variable="Gender", Value="Female", Coef=-0.205m },
new data() { id=1009, Variable="College Code", Value="AT", Coef=-1.732m },
new data() { id=1010, Variable="College Code", Value="BU", Coef=-1.806m },
new data() { id=1011, Variable="College Code", Value="EH", Coef=-1.728m },
new data() { id=1012, Variable="College Code", Value="EN", Coef=-2.003m },
new data() { id=1013, Variable="College Code", Value="LF", Coef=-1.779m },
new data() { id=1014, Variable="College Code", Value="pp", Coef=-2.042m },
new data() { id=1015, Variable="College Code", Value="SC", Coef=-2.070m },
new data() { id=1016, Variable="College Code", Value="UC", Coef=-1.845m },
new data() { id=1017, Variable="AGI", Value="AGI N/A", Coef=0.236m },
new data() { id=1018, Variable="AGI", Value="0", Coef=-0.684m },
};


Get the distinct list of Variable fields to seed the outer dictionary, then find related items in the data source, and create an inner dictionary for those:



var b = listy
.Select(x => x.Variable)
.Distinct()
// outer dictionary, key is Variable
.ToDictionary(k => k, v =>
listy
// find items in the list with the same Variable
.Where(x => x.Variable == v)
// and create a dictionary for the Value/Coef pairs.
.ToDictionary(k2 => k2.Value, v2 => v2.Coef));


Some interactive shell output:



> b["AGI"]
Dictionary<string, decimal>(2) { { "AGI N/A", 0.236 }, { "0", -0.684 } }
> b["AGI"]["0"]
-0.684
> b["College Code"]["AT"]
-1.732
> b["College Code"]["BU"]
-1.806





share|improve this answer





















  • That is a good solution as well. Thank you.
    – jax
    Nov 19 '18 at 19:34










  • This is going to iterate the list twice which is completely unnecessary
    – juharr
    Nov 19 '18 at 20:43



















1














Given a collection of the date you should be able to get the results you want like this.



var lookup = data.GroupBy(x => x.Variable)
.ToDictionary(g => g.Key, g.ToDictionary(y => y.Value, y => y.Coef));


Note this will fail if you have multiple items with the same values in the Variable and Value columns.






share|improve this answer





















  • I do have multiple values in the Variable but not Value. That is why I want `Variable' to be the key for its sub dictionary items.
    – jax
    Nov 19 '18 at 19:22











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3 Answers
3






active

oldest

votes








3 Answers
3






active

oldest

votes









active

oldest

votes






active

oldest

votes









2














var data = _dbContext.Tbl.ToDictionary(_ => _.Variable + "=" + _.Value, _ => _.Coef, StringComparer.OrdinalIgnoreCase);


With the data you have shown there is no need to group, just create your composite key and specify the value. I also recommend using a case insensitive key.



You would then access the data this way where College Code=LF is the key.



Console.WriteLine(data["College Code=LF"]);





share|improve this answer





















  • great solution. I used foreach to do the same but this one is more elegant.
    – jax
    Nov 19 '18 at 19:30
















2














var data = _dbContext.Tbl.ToDictionary(_ => _.Variable + "=" + _.Value, _ => _.Coef, StringComparer.OrdinalIgnoreCase);


With the data you have shown there is no need to group, just create your composite key and specify the value. I also recommend using a case insensitive key.



You would then access the data this way where College Code=LF is the key.



Console.WriteLine(data["College Code=LF"]);





share|improve this answer





















  • great solution. I used foreach to do the same but this one is more elegant.
    – jax
    Nov 19 '18 at 19:30














2












2








2






var data = _dbContext.Tbl.ToDictionary(_ => _.Variable + "=" + _.Value, _ => _.Coef, StringComparer.OrdinalIgnoreCase);


With the data you have shown there is no need to group, just create your composite key and specify the value. I also recommend using a case insensitive key.



You would then access the data this way where College Code=LF is the key.



Console.WriteLine(data["College Code=LF"]);





share|improve this answer












var data = _dbContext.Tbl.ToDictionary(_ => _.Variable + "=" + _.Value, _ => _.Coef, StringComparer.OrdinalIgnoreCase);


With the data you have shown there is no need to group, just create your composite key and specify the value. I also recommend using a case insensitive key.



You would then access the data this way where College Code=LF is the key.



Console.WriteLine(data["College Code=LF"]);






share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 19 '18 at 19:25









IgorIgor

39k347100




39k347100












  • great solution. I used foreach to do the same but this one is more elegant.
    – jax
    Nov 19 '18 at 19:30


















  • great solution. I used foreach to do the same but this one is more elegant.
    – jax
    Nov 19 '18 at 19:30
















great solution. I used foreach to do the same but this one is more elegant.
– jax
Nov 19 '18 at 19:30




great solution. I used foreach to do the same but this one is more elegant.
– jax
Nov 19 '18 at 19:30













2














Using some initial data as follows



public class data
{
public int id { get; set; }
public string Variable { get; set; }
public string Value { get; set; }
public decimal Coef { get; set; }
}

var listy = new List<data>() {
new data() { id=1000, Variable="Gender", Value="Male", Coef=0m },
new data() { id=1001, Variable="Gender", Value="Female", Coef=-0.205m },
new data() { id=1009, Variable="College Code", Value="AT", Coef=-1.732m },
new data() { id=1010, Variable="College Code", Value="BU", Coef=-1.806m },
new data() { id=1011, Variable="College Code", Value="EH", Coef=-1.728m },
new data() { id=1012, Variable="College Code", Value="EN", Coef=-2.003m },
new data() { id=1013, Variable="College Code", Value="LF", Coef=-1.779m },
new data() { id=1014, Variable="College Code", Value="pp", Coef=-2.042m },
new data() { id=1015, Variable="College Code", Value="SC", Coef=-2.070m },
new data() { id=1016, Variable="College Code", Value="UC", Coef=-1.845m },
new data() { id=1017, Variable="AGI", Value="AGI N/A", Coef=0.236m },
new data() { id=1018, Variable="AGI", Value="0", Coef=-0.684m },
};


Get the distinct list of Variable fields to seed the outer dictionary, then find related items in the data source, and create an inner dictionary for those:



var b = listy
.Select(x => x.Variable)
.Distinct()
// outer dictionary, key is Variable
.ToDictionary(k => k, v =>
listy
// find items in the list with the same Variable
.Where(x => x.Variable == v)
// and create a dictionary for the Value/Coef pairs.
.ToDictionary(k2 => k2.Value, v2 => v2.Coef));


Some interactive shell output:



> b["AGI"]
Dictionary<string, decimal>(2) { { "AGI N/A", 0.236 }, { "0", -0.684 } }
> b["AGI"]["0"]
-0.684
> b["College Code"]["AT"]
-1.732
> b["College Code"]["BU"]
-1.806





share|improve this answer





















  • That is a good solution as well. Thank you.
    – jax
    Nov 19 '18 at 19:34










  • This is going to iterate the list twice which is completely unnecessary
    – juharr
    Nov 19 '18 at 20:43
















2














Using some initial data as follows



public class data
{
public int id { get; set; }
public string Variable { get; set; }
public string Value { get; set; }
public decimal Coef { get; set; }
}

var listy = new List<data>() {
new data() { id=1000, Variable="Gender", Value="Male", Coef=0m },
new data() { id=1001, Variable="Gender", Value="Female", Coef=-0.205m },
new data() { id=1009, Variable="College Code", Value="AT", Coef=-1.732m },
new data() { id=1010, Variable="College Code", Value="BU", Coef=-1.806m },
new data() { id=1011, Variable="College Code", Value="EH", Coef=-1.728m },
new data() { id=1012, Variable="College Code", Value="EN", Coef=-2.003m },
new data() { id=1013, Variable="College Code", Value="LF", Coef=-1.779m },
new data() { id=1014, Variable="College Code", Value="pp", Coef=-2.042m },
new data() { id=1015, Variable="College Code", Value="SC", Coef=-2.070m },
new data() { id=1016, Variable="College Code", Value="UC", Coef=-1.845m },
new data() { id=1017, Variable="AGI", Value="AGI N/A", Coef=0.236m },
new data() { id=1018, Variable="AGI", Value="0", Coef=-0.684m },
};


Get the distinct list of Variable fields to seed the outer dictionary, then find related items in the data source, and create an inner dictionary for those:



var b = listy
.Select(x => x.Variable)
.Distinct()
// outer dictionary, key is Variable
.ToDictionary(k => k, v =>
listy
// find items in the list with the same Variable
.Where(x => x.Variable == v)
// and create a dictionary for the Value/Coef pairs.
.ToDictionary(k2 => k2.Value, v2 => v2.Coef));


Some interactive shell output:



> b["AGI"]
Dictionary<string, decimal>(2) { { "AGI N/A", 0.236 }, { "0", -0.684 } }
> b["AGI"]["0"]
-0.684
> b["College Code"]["AT"]
-1.732
> b["College Code"]["BU"]
-1.806





share|improve this answer





















  • That is a good solution as well. Thank you.
    – jax
    Nov 19 '18 at 19:34










  • This is going to iterate the list twice which is completely unnecessary
    – juharr
    Nov 19 '18 at 20:43














2












2








2






Using some initial data as follows



public class data
{
public int id { get; set; }
public string Variable { get; set; }
public string Value { get; set; }
public decimal Coef { get; set; }
}

var listy = new List<data>() {
new data() { id=1000, Variable="Gender", Value="Male", Coef=0m },
new data() { id=1001, Variable="Gender", Value="Female", Coef=-0.205m },
new data() { id=1009, Variable="College Code", Value="AT", Coef=-1.732m },
new data() { id=1010, Variable="College Code", Value="BU", Coef=-1.806m },
new data() { id=1011, Variable="College Code", Value="EH", Coef=-1.728m },
new data() { id=1012, Variable="College Code", Value="EN", Coef=-2.003m },
new data() { id=1013, Variable="College Code", Value="LF", Coef=-1.779m },
new data() { id=1014, Variable="College Code", Value="pp", Coef=-2.042m },
new data() { id=1015, Variable="College Code", Value="SC", Coef=-2.070m },
new data() { id=1016, Variable="College Code", Value="UC", Coef=-1.845m },
new data() { id=1017, Variable="AGI", Value="AGI N/A", Coef=0.236m },
new data() { id=1018, Variable="AGI", Value="0", Coef=-0.684m },
};


Get the distinct list of Variable fields to seed the outer dictionary, then find related items in the data source, and create an inner dictionary for those:



var b = listy
.Select(x => x.Variable)
.Distinct()
// outer dictionary, key is Variable
.ToDictionary(k => k, v =>
listy
// find items in the list with the same Variable
.Where(x => x.Variable == v)
// and create a dictionary for the Value/Coef pairs.
.ToDictionary(k2 => k2.Value, v2 => v2.Coef));


Some interactive shell output:



> b["AGI"]
Dictionary<string, decimal>(2) { { "AGI N/A", 0.236 }, { "0", -0.684 } }
> b["AGI"]["0"]
-0.684
> b["College Code"]["AT"]
-1.732
> b["College Code"]["BU"]
-1.806





share|improve this answer












Using some initial data as follows



public class data
{
public int id { get; set; }
public string Variable { get; set; }
public string Value { get; set; }
public decimal Coef { get; set; }
}

var listy = new List<data>() {
new data() { id=1000, Variable="Gender", Value="Male", Coef=0m },
new data() { id=1001, Variable="Gender", Value="Female", Coef=-0.205m },
new data() { id=1009, Variable="College Code", Value="AT", Coef=-1.732m },
new data() { id=1010, Variable="College Code", Value="BU", Coef=-1.806m },
new data() { id=1011, Variable="College Code", Value="EH", Coef=-1.728m },
new data() { id=1012, Variable="College Code", Value="EN", Coef=-2.003m },
new data() { id=1013, Variable="College Code", Value="LF", Coef=-1.779m },
new data() { id=1014, Variable="College Code", Value="pp", Coef=-2.042m },
new data() { id=1015, Variable="College Code", Value="SC", Coef=-2.070m },
new data() { id=1016, Variable="College Code", Value="UC", Coef=-1.845m },
new data() { id=1017, Variable="AGI", Value="AGI N/A", Coef=0.236m },
new data() { id=1018, Variable="AGI", Value="0", Coef=-0.684m },
};


Get the distinct list of Variable fields to seed the outer dictionary, then find related items in the data source, and create an inner dictionary for those:



var b = listy
.Select(x => x.Variable)
.Distinct()
// outer dictionary, key is Variable
.ToDictionary(k => k, v =>
listy
// find items in the list with the same Variable
.Where(x => x.Variable == v)
// and create a dictionary for the Value/Coef pairs.
.ToDictionary(k2 => k2.Value, v2 => v2.Coef));


Some interactive shell output:



> b["AGI"]
Dictionary<string, decimal>(2) { { "AGI N/A", 0.236 }, { "0", -0.684 } }
> b["AGI"]["0"]
-0.684
> b["College Code"]["AT"]
-1.732
> b["College Code"]["BU"]
-1.806






share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 19 '18 at 19:31









BurnsBABurnsBA

1,7241221




1,7241221












  • That is a good solution as well. Thank you.
    – jax
    Nov 19 '18 at 19:34










  • This is going to iterate the list twice which is completely unnecessary
    – juharr
    Nov 19 '18 at 20:43


















  • That is a good solution as well. Thank you.
    – jax
    Nov 19 '18 at 19:34










  • This is going to iterate the list twice which is completely unnecessary
    – juharr
    Nov 19 '18 at 20:43
















That is a good solution as well. Thank you.
– jax
Nov 19 '18 at 19:34




That is a good solution as well. Thank you.
– jax
Nov 19 '18 at 19:34












This is going to iterate the list twice which is completely unnecessary
– juharr
Nov 19 '18 at 20:43




This is going to iterate the list twice which is completely unnecessary
– juharr
Nov 19 '18 at 20:43











1














Given a collection of the date you should be able to get the results you want like this.



var lookup = data.GroupBy(x => x.Variable)
.ToDictionary(g => g.Key, g.ToDictionary(y => y.Value, y => y.Coef));


Note this will fail if you have multiple items with the same values in the Variable and Value columns.






share|improve this answer





















  • I do have multiple values in the Variable but not Value. That is why I want `Variable' to be the key for its sub dictionary items.
    – jax
    Nov 19 '18 at 19:22
















1














Given a collection of the date you should be able to get the results you want like this.



var lookup = data.GroupBy(x => x.Variable)
.ToDictionary(g => g.Key, g.ToDictionary(y => y.Value, y => y.Coef));


Note this will fail if you have multiple items with the same values in the Variable and Value columns.






share|improve this answer





















  • I do have multiple values in the Variable but not Value. That is why I want `Variable' to be the key for its sub dictionary items.
    – jax
    Nov 19 '18 at 19:22














1












1








1






Given a collection of the date you should be able to get the results you want like this.



var lookup = data.GroupBy(x => x.Variable)
.ToDictionary(g => g.Key, g.ToDictionary(y => y.Value, y => y.Coef));


Note this will fail if you have multiple items with the same values in the Variable and Value columns.






share|improve this answer












Given a collection of the date you should be able to get the results you want like this.



var lookup = data.GroupBy(x => x.Variable)
.ToDictionary(g => g.Key, g.ToDictionary(y => y.Value, y => y.Coef));


Note this will fail if you have multiple items with the same values in the Variable and Value columns.







share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 19 '18 at 19:19









juharrjuharr

25.2k33575




25.2k33575












  • I do have multiple values in the Variable but not Value. That is why I want `Variable' to be the key for its sub dictionary items.
    – jax
    Nov 19 '18 at 19:22


















  • I do have multiple values in the Variable but not Value. That is why I want `Variable' to be the key for its sub dictionary items.
    – jax
    Nov 19 '18 at 19:22
















I do have multiple values in the Variable but not Value. That is why I want `Variable' to be the key for its sub dictionary items.
– jax
Nov 19 '18 at 19:22




I do have multiple values in the Variable but not Value. That is why I want `Variable' to be the key for its sub dictionary items.
– jax
Nov 19 '18 at 19:22


















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