Mixing
How to parse from JSONP file using Python3?
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box;
}
This my first time messing with .json/.jsonp files and I have multiple .jsonp files in a folder that I need to parse key values from. From my understanding I need to convert jsonp to json then use the key to get the associated value, but can't seem to figure out how to successfully load my jsonp file with python3 then convert it to json.
I can read the file with just a basic open and read, but it seems like the wrong way to read it. If that's fine then what is the best way to convert it?
How I'm reading it:
jsonp=open(r'''C:Userszburc_000Desktopobserved_otus_significancecolumn-african_american.jsonp''','r')
What the file looks like:
load_data('amount_fat_free_milk',{"name":null,"index":["12oz (n=10)","16oz (n=7)","20oz (n=2)","6 oz or less8 oz oz (n=1)","8oz (n=27)","NA (n=225)","less than 6oz (n=24)","more than 20oz (n=54)"],"data":[[54,47,19,64,74,61,72,52,31,30],[38,77,129,34,38,39,82],[51,39],[39],[29,53,47,74,62,36,40,39,32,63,41,139,72,156,27,43,25,95,65,23,45,72,108,85,33,82,65],[70,48,68,121,58,90,45,62,52,136,56,93,76,84,53,82,92,84,26,53,50,109,81,58,84,54,61,69,55,59,41,54,66,96,66,80,42,59,44,56,58,33,26,51,69,48,93,103,55,79,76,41,96,71,56,26,98,51,60,59,60,33,63,50,45,45,69,127,65,94,32,38,102,86,59,85,30,102,117,95,55,44,71,86,36,102,67,40,54,81,66,45,83,25,91,76,42,27,46,75,86,89,42,59,60,49,65,57,37,57,49,42,35,54,38,77,54,57,95,34,51,78,47,91,97,78,62,53,41,59,55,37,55,114,31,87,54,56,56,53,63,29,34,34,47,32,123,76,35,29,34,54,62,80,60,45,37,62,36,28,40,62,56,71,47,40,97,47,58,53,45,36,63,36,85,86,100,36,53,37,37,28,48,73,70,83,50,78,95,46,52,16,70,105,71,79,51,66,77,47,47,154,100,60,77,46,86,69,43,64,38,22,75,33,45,68,35,43,67,141,45,49,60,87,103],[26,122,98,99,38,61,116,42,51,67,32,117,135,63,47,21,56,24,55,61,69,40,100,30],[20,77,23,43,37,56,171,55,135,130,52,123,80,67,107,41,75,72,42,44,27,87,104,47,69,64,17,84,30,26,117,53,29,49,45,20,76,116,46,77,15,47,96,83,39,36,133,27,168,30,49,42,34,45]]},{"initial": 350, "filtered": 350},{"p": 0.6810926316972944, "H": 4.826778985767726},' H p-value q-value Group 1 Group 2 12oz (n=10) 16oz (n=7) 0.467239 0.494260 0.891202 20oz (n=2) 0.415385 0.519249 0.891202 6 oz or less8 oz oz (n=1) 0.400000 0.527089 0.891202 8oz (n=27) 0.379262 0.537998 0.891202 NA (n=225) 1.728250 0.188635 0.891202 less than 6oz (n=24) 0.692063 0.405464 0.891202 more than 20oz (n=54) 0.407082 0.523455 0.891202 16oz (n=7) 20oz (n=2) 0.021792 0.882642 0.988559 6 oz or less8 oz oz (n=1) 0.000000 1.000000 1.000000 8oz (n=27) 0.000454 0.983003 1.000000 NA (n=225) 0.267899 0.604744 0.891202 less than 6oz (n=24) 0.055860 0.813163 0.988559 more than 20oz (n=54) 0.032782 0.856322 0.988559 20oz (n=2) 6 oz or less8 oz oz (n=1) 0.500000 0.479500 0.891202 8oz (n=27) 0.313194 0.575727 0.891202 NA (n=225) 1.339476 0.247126 0.891202 less than 6oz (n=24) 0.669439 0.413247 0.891202 more than 20oz (n=54) 0.304675 0.580967 0.891202 6 oz or less8 oz oz (n=1) 8oz (n=27) 0.552177 0.457429 0.891202 NA (n=225) 1.304423 0.253407 0.891202 less than 6oz (n=24) 0.692574 0.405290 0.891202 more than 20oz (n=54) 0.620241 0.430958 0.891202 8oz (n=27) NA (n=225) 0.889579 0.345591 0.891202 less than 6oz (n=24) 0.115421 0.734055 0.988559 more than 20oz (n=54) 0.075931 0.782890 0.988559 NA (n=225) less than 6oz (n=24) 0.000720 0.978590 1.000000 more than 20oz (n=54) 0.756352 0.384473 0.891202 less than 6oz (n=24) more than 20oz (n=54) 0.098603 0.753513 0.988559 ','kruskal-wallis-pairwise-amount_fat_free_milk.csv', 'observed_otus');
Ultimately I need to be able to get the values from the "p" and "H" but my main problem right now is getting it converted to json.
json python-3.x parsing jsonp
asked Jan 3 at 16:48
Zach BurchamZach Burcham
11
add a comment |
This my first time messing with .json/.jsonp files and I have multiple .jsonp files in a folder that I need to parse key values from. From my understanding I need to convert jsonp to json then use the key to get the associated value, but can't seem to figure out how to successfully load my jsonp file with python3 then convert it to json.
I can read the file with just a basic open and read, but it seems like the wrong way to read it. If that's fine then what is the best way to convert it?
How I'm reading it:
jsonp=open(r'''C:Userszburc_000Desktopobserved_otus_significancecolumn-african_american.jsonp''','r')
What the file looks like:
load_data('amount_fat_free_milk',{"name":null,"index":["12oz (n=10)","16oz (n=7)","20oz (n=2)","6 oz or less8 oz oz (n=1)","8oz (n=27)","NA (n=225)","less than 6oz (n=24)","more than 20oz (n=54)"],"data":[[54,47,19,64,74,61,72,52,31,30],[38,77,129,34,38,39,82],[51,39],[39],[29,53,47,74,62,36,40,39,32,63,41,139,72,156,27,43,25,95,65,23,45,72,108,85,33,82,65],[70,48,68,121,58,90,45,62,52,136,56,93,76,84,53,82,92,84,26,53,50,109,81,58,84,54,61,69,55,59,41,54,66,96,66,80,42,59,44,56,58,33,26,51,69,48,93,103,55,79,76,41,96,71,56,26,98,51,60,59,60,33,63,50,45,45,69,127,65,94,32,38,102,86,59,85,30,102,117,95,55,44,71,86,36,102,67,40,54,81,66,45,83,25,91,76,42,27,46,75,86,89,42,59,60,49,65,57,37,57,49,42,35,54,38,77,54,57,95,34,51,78,47,91,97,78,62,53,41,59,55,37,55,114,31,87,54,56,56,53,63,29,34,34,47,32,123,76,35,29,34,54,62,80,60,45,37,62,36,28,40,62,56,71,47,40,97,47,58,53,45,36,63,36,85,86,100,36,53,37,37,28,48,73,70,83,50,78,95,46,52,16,70,105,71,79,51,66,77,47,47,154,100,60,77,46,86,69,43,64,38,22,75,33,45,68,35,43,67,141,45,49,60,87,103],[26,122,98,99,38,61,116,42,51,67,32,117,135,63,47,21,56,24,55,61,69,40,100,30],[20,77,23,43,37,56,171,55,135,130,52,123,80,67,107,41,75,72,42,44,27,87,104,47,69,64,17,84,30,26,117,53,29,49,45,20,76,116,46,77,15,47,96,83,39,36,133,27,168,30,49,42,34,45]]},{"initial": 350, "filtered": 350},{"p": 0.6810926316972944, "H": 4.826778985767726},' H p-value q-value Group 1 Group 2 12oz (n=10) 16oz (n=7) 0.467239 0.494260 0.891202 20oz (n=2) 0.415385 0.519249 0.891202 6 oz or less8 oz oz (n=1) 0.400000 0.527089 0.891202 8oz (n=27) 0.379262 0.537998 0.891202 NA (n=225) 1.728250 0.188635 0.891202 less than 6oz (n=24) 0.692063 0.405464 0.891202 more than 20oz (n=54) 0.407082 0.523455 0.891202 16oz (n=7) 20oz (n=2) 0.021792 0.882642 0.988559 6 oz or less8 oz oz (n=1) 0.000000 1.000000 1.000000 8oz (n=27) 0.000454 0.983003 1.000000 NA (n=225) 0.267899 0.604744 0.891202 less than 6oz (n=24) 0.055860 0.813163 0.988559 more than 20oz (n=54) 0.032782 0.856322 0.988559 20oz (n=2) 6 oz or less8 oz oz (n=1) 0.500000 0.479500 0.891202 8oz (n=27) 0.313194 0.575727 0.891202 NA (n=225) 1.339476 0.247126 0.891202 less than 6oz (n=24) 0.669439 0.413247 0.891202 more than 20oz (n=54) 0.304675 0.580967 0.891202 6 oz or less8 oz oz (n=1) 8oz (n=27) 0.552177 0.457429 0.891202 NA (n=225) 1.304423 0.253407 0.891202 less than 6oz (n=24) 0.692574 0.405290 0.891202 more than 20oz (n=54) 0.620241 0.430958 0.891202 8oz (n=27) NA (n=225) 0.889579 0.345591 0.891202 less than 6oz (n=24) 0.115421 0.734055 0.988559 more than 20oz (n=54) 0.075931 0.782890 0.988559 NA (n=225) less than 6oz (n=24) 0.000720 0.978590 1.000000 more than 20oz (n=54) 0.756352 0.384473 0.891202 less than 6oz (n=24) more than 20oz (n=54) 0.098603 0.753513 0.988559 ','kruskal-wallis-pairwise-amount_fat_free_milk.csv', 'observed_otus');
Ultimately I need to be able to get the values from the "p" and "H" but my main problem right now is getting it converted to json.
json python-3.x parsing jsonp
asked Jan 3 at 16:48
Zach BurchamZach Burcham
11
You need to strip out the "padding" before parsing as JSON, see e.g. stackoverflow.com/questions/30554522/…
– jonrsharpe
Jan 3 at 16:55
add a comment |
This my first time messing with .json/.jsonp files and I have multiple .jsonp files in a folder that I need to parse key values from. From my understanding I need to convert jsonp to json then use the key to get the associated value, but can't seem to figure out how to successfully load my jsonp file with python3 then convert it to json.
I can read the file with just a basic open and read, but it seems like the wrong way to read it. If that's fine then what is the best way to convert it?
How I'm reading it:
jsonp=open(r'''C:Userszburc_000Desktopobserved_otus_significancecolumn-african_american.jsonp''','r')
What the file looks like:
load_data('amount_fat_free_milk',{"name":null,"index":["12oz (n=10)","16oz (n=7)","20oz (n=2)","6 oz or less8 oz oz (n=1)","8oz (n=27)","NA (n=225)","less than 6oz (n=24)","more than 20oz (n=54)"],"data":[[54,47,19,64,74,61,72,52,31,30],[38,77,129,34,38,39,82],[51,39],[39],[29,53,47,74,62,36,40,39,32,63,41,139,72,156,27,43,25,95,65,23,45,72,108,85,33,82,65],[70,48,68,121,58,90,45,62,52,136,56,93,76,84,53,82,92,84,26,53,50,109,81,58,84,54,61,69,55,59,41,54,66,96,66,80,42,59,44,56,58,33,26,51,69,48,93,103,55,79,76,41,96,71,56,26,98,51,60,59,60,33,63,50,45,45,69,127,65,94,32,38,102,86,59,85,30,102,117,95,55,44,71,86,36,102,67,40,54,81,66,45,83,25,91,76,42,27,46,75,86,89,42,59,60,49,65,57,37,57,49,42,35,54,38,77,54,57,95,34,51,78,47,91,97,78,62,53,41,59,55,37,55,114,31,87,54,56,56,53,63,29,34,34,47,32,123,76,35,29,34,54,62,80,60,45,37,62,36,28,40,62,56,71,47,40,97,47,58,53,45,36,63,36,85,86,100,36,53,37,37,28,48,73,70,83,50,78,95,46,52,16,70,105,71,79,51,66,77,47,47,154,100,60,77,46,86,69,43,64,38,22,75,33,45,68,35,43,67,141,45,49,60,87,103],[26,122,98,99,38,61,116,42,51,67,32,117,135,63,47,21,56,24,55,61,69,40,100,30],[20,77,23,43,37,56,171,55,135,130,52,123,80,67,107,41,75,72,42,44,27,87,104,47,69,64,17,84,30,26,117,53,29,49,45,20,76,116,46,77,15,47,96,83,39,36,133,27,168,30,49,42,34,45]]},{"initial": 350, "filtered": 350},{"p": 0.6810926316972944, "H": 4.826778985767726},' H p-value q-value Group 1 Group 2 12oz (n=10) 16oz (n=7) 0.467239 0.494260 0.891202 20oz (n=2) 0.415385 0.519249 0.891202 6 oz or less8 oz oz (n=1) 0.400000 0.527089 0.891202 8oz (n=27) 0.379262 0.537998 0.891202 NA (n=225) 1.728250 0.188635 0.891202 less than 6oz (n=24) 0.692063 0.405464 0.891202 more than 20oz (n=54) 0.407082 0.523455 0.891202 16oz (n=7) 20oz (n=2) 0.021792 0.882642 0.988559 6 oz or less8 oz oz (n=1) 0.000000 1.000000 1.000000 8oz (n=27) 0.000454 0.983003 1.000000 NA (n=225) 0.267899 0.604744 0.891202 less than 6oz (n=24) 0.055860 0.813163 0.988559 more than 20oz (n=54) 0.032782 0.856322 0.988559 20oz (n=2) 6 oz or less8 oz oz (n=1) 0.500000 0.479500 0.891202 8oz (n=27) 0.313194 0.575727 0.891202 NA (n=225) 1.339476 0.247126 0.891202 less than 6oz (n=24) 0.669439 0.413247 0.891202 more than 20oz (n=54) 0.304675 0.580967 0.891202 6 oz or less8 oz oz (n=1) 8oz (n=27) 0.552177 0.457429 0.891202 NA (n=225) 1.304423 0.253407 0.891202 less than 6oz (n=24) 0.692574 0.405290 0.891202 more than 20oz (n=54) 0.620241 0.430958 0.891202 8oz (n=27) NA (n=225) 0.889579 0.345591 0.891202 less than 6oz (n=24) 0.115421 0.734055 0.988559 more than 20oz (n=54) 0.075931 0.782890 0.988559 NA (n=225) less than 6oz (n=24) 0.000720 0.978590 1.000000 more than 20oz (n=54) 0.756352 0.384473 0.891202 less than 6oz (n=24) more than 20oz (n=54) 0.098603 0.753513 0.988559 ','kruskal-wallis-pairwise-amount_fat_free_milk.csv', 'observed_otus');
Ultimately I need to be able to get the values from the "p" and "H" but my main problem right now is getting it converted to json.
json python-3.x parsing jsonp
asked Jan 3 at 16:48
Zach BurchamZach Burcham
11
This my first time messing with .json/.jsonp files and I have multiple .jsonp files in a folder that I need to parse key values from. From my understanding I need to convert jsonp to json then use the key to get the associated value, but can't seem to figure out how to successfully load my jsonp file with python3 then convert it to json.
I can read the file with just a basic open and read, but it seems like the wrong way to read it. If that's fine then what is the best way to convert it?
How I'm reading it:
jsonp=open(r'''C:Userszburc_000Desktopobserved_otus_significancecolumn-african_american.jsonp''','r')
What the file looks like:
load_data('amount_fat_free_milk',{"name":null,"index":["12oz (n=10)","16oz (n=7)","20oz (n=2)","6 oz or less8 oz oz (n=1)","8oz (n=27)","NA (n=225)","less than 6oz (n=24)","more than 20oz (n=54)"],"data":[[54,47,19,64,74,61,72,52,31,30],[38,77,129,34,38,39,82],[51,39],[39],[29,53,47,74,62,36,40,39,32,63,41,139,72,156,27,43,25,95,65,23,45,72,108,85,33,82,65],[70,48,68,121,58,90,45,62,52,136,56,93,76,84,53,82,92,84,26,53,50,109,81,58,84,54,61,69,55,59,41,54,66,96,66,80,42,59,44,56,58,33,26,51,69,48,93,103,55,79,76,41,96,71,56,26,98,51,60,59,60,33,63,50,45,45,69,127,65,94,32,38,102,86,59,85,30,102,117,95,55,44,71,86,36,102,67,40,54,81,66,45,83,25,91,76,42,27,46,75,86,89,42,59,60,49,65,57,37,57,49,42,35,54,38,77,54,57,95,34,51,78,47,91,97,78,62,53,41,59,55,37,55,114,31,87,54,56,56,53,63,29,34,34,47,32,123,76,35,29,34,54,62,80,60,45,37,62,36,28,40,62,56,71,47,40,97,47,58,53,45,36,63,36,85,86,100,36,53,37,37,28,48,73,70,83,50,78,95,46,52,16,70,105,71,79,51,66,77,47,47,154,100,60,77,46,86,69,43,64,38,22,75,33,45,68,35,43,67,141,45,49,60,87,103],[26,122,98,99,38,61,116,42,51,67,32,117,135,63,47,21,56,24,55,61,69,40,100,30],[20,77,23,43,37,56,171,55,135,130,52,123,80,67,107,41,75,72,42,44,27,87,104,47,69,64,17,84,30,26,117,53,29,49,45,20,76,116,46,77,15,47,96,83,39,36,133,27,168,30,49,42,34,45]]},{"initial": 350, "filtered": 350},{"p": 0.6810926316972944, "H": 4.826778985767726},' H p-value q-value Group 1 Group 2 12oz (n=10) 16oz (n=7) 0.467239 0.494260 0.891202 20oz (n=2) 0.415385 0.519249 0.891202 6 oz or less8 oz oz (n=1) 0.400000 0.527089 0.891202 8oz (n=27) 0.379262 0.537998 0.891202 NA (n=225) 1.728250 0.188635 0.891202 less than 6oz (n=24) 0.692063 0.405464 0.891202 more than 20oz (n=54) 0.407082 0.523455 0.891202 16oz (n=7) 20oz (n=2) 0.021792 0.882642 0.988559 6 oz or less8 oz oz (n=1) 0.000000 1.000000 1.000000 8oz (n=27) 0.000454 0.983003 1.000000 NA (n=225) 0.267899 0.604744 0.891202 less than 6oz (n=24) 0.055860 0.813163 0.988559 more than 20oz (n=54) 0.032782 0.856322 0.988559 20oz (n=2) 6 oz or less8 oz oz (n=1) 0.500000 0.479500 0.891202 8oz (n=27) 0.313194 0.575727 0.891202 NA (n=225) 1.339476 0.247126 0.891202 less than 6oz (n=24) 0.669439 0.413247 0.891202 more than 20oz (n=54) 0.304675 0.580967 0.891202 6 oz or less8 oz oz (n=1) 8oz (n=27) 0.552177 0.457429 0.891202 NA (n=225) 1.304423 0.253407 0.891202 less than 6oz (n=24) 0.692574 0.405290 0.891202 more than 20oz (n=54) 0.620241 0.430958 0.891202 8oz (n=27) NA (n=225) 0.889579 0.345591 0.891202 less than 6oz (n=24) 0.115421 0.734055 0.988559 more than 20oz (n=54) 0.075931 0.782890 0.988559 NA (n=225) less than 6oz (n=24) 0.000720 0.978590 1.000000 more than 20oz (n=54) 0.756352 0.384473 0.891202 less than 6oz (n=24) more than 20oz (n=54) 0.098603 0.753513 0.988559 ','kruskal-wallis-pairwise-amount_fat_free_milk.csv', 'observed_otus');
Ultimately I need to be able to get the values from the "p" and "H" but my main problem right now is getting it converted to json.
json python-3.x parsing jsonp
json python-3.x parsing jsonp
asked Jan 3 at 16:48
Zach BurchamZach Burcham
11
asked Jan 3 at 16:48
Zach BurchamZach Burcham
11
asked Jan 3 at 16:48
Zach BurchamZach Burcham
11
asked Jan 3 at 16:48
Zach BurchamZach Burcham
11
asked Jan 3 at 16:48
Zach BurchamZach Burcham
11
11
You need to strip out the "padding" before parsing as JSON, see e.g. stackoverflow.com/questions/30554522/…
– jonrsharpe
Jan 3 at 16:55
add a comment |
You need to strip out the "padding" before parsing as JSON, see e.g. stackoverflow.com/questions/30554522/…
– jonrsharpe
Jan 3 at 16:55
You need to strip out the "padding" before parsing as JSON, see e.g. stackoverflow.com/questions/30554522/…
– jonrsharpe
Jan 3 at 16:55
You need to strip out the "padding" before parsing as JSON, see e.g. stackoverflow.com/questions/30554522/…
– jonrsharpe
Jan 3 at 16:55
add a comment |
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You need to strip out the "padding" before parsing as JSON, see e.g. stackoverflow.com/questions/30554522/…
– jonrsharpe
Jan 3 at 16:55