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"""load ndjson into a Pandas dataframe. then save to sqlite. """ | |
import json | |
import pandas as pd | |
#load | |
path = 'data.ndjson' | |
with open(path,'rt', encoding='utf-8') as f: | |
lines = f.readlines() | |
print('# lines', len(lines)) |
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{ | |
"metadata": { | |
"language": "Julia", | |
"name": "" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ |
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{ | |
"metadata": { | |
"language": "Julia", | |
"name": "", | |
"signature": "sha256:e80d1a82f7cdd977679c61b2cbabab28b09bb50363bbf45c783529686408d275" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ |
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{ | |
"metadata": { | |
"language": "Julia", | |
"name": "", | |
"signature": "sha256:679974b4916c36603648466accbc9c2838242618d92c33c0fcb81297a9e11a79" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ |
View gist:e1768937952565213561
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{ | |
"metadata": { | |
"language": "Julia", | |
"name": "", | |
"signature": "sha256:e4991cde234b104b1f7077d9c0d16d41f1d359e58c1c2f3900573a7b513d4566" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ |
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{ | |
"metadata": { | |
"language": "Julia", | |
"name": "", | |
"signature": "sha256:6fe564fd5807e59cc459bd6bedc3dd57d1c56c392f17ce2401e0ba3677d8161a" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ |
View gist:99043bb74519378428fd
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{ | |
"metadata": { | |
"language": "Julia", | |
"name": "", | |
"signature": "sha256:64712e134a63248c7287bc1cf7858ccd7adc08a2821cce960ef95b28f51ce2e2" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ |
View DataFrames.jl push!
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{ | |
"metadata": { | |
"language": "Julia", | |
"name": "", | |
"signature": "sha256:7fe5fda6897de221effe8497f91c4705de9d01b5396e52caecc256d571986d30" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ |
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