diff --git a/Winsoft_submission.ipynb b/Winsoft_submission.ipynb new file mode 100644 index 0000000..772213f --- /dev/null +++ b/Winsoft_submission.ipynb @@ -0,0 +1,654 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt " + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.read_json('data.json')" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ratesstart_atbaseend_at
2019-01-02{'CAD': 1.5547, 'HKD': 8.9294, 'ISK': 133.4, '...2019-01-01EUR2019-12-31
2019-01-03{'CAD': 1.5392000000000001, 'HKD': 8.8884, 'IS...2019-01-01EUR2019-12-31
2019-01-04{'CAD': 1.5328, 'HKD': 8.9325, 'ISK': 134.0, '...2019-01-01EUR2019-12-31
2019-01-07{'CAD': 1.5281, 'HKD': 8.9677, 'ISK': 135.2, '...2019-01-01EUR2019-12-31
2019-01-08{'CAD': 1.5208, 'HKD': 8.9671, 'ISK': 136.1, '...2019-01-01EUR2019-12-31
...............
2019-12-23{'CAD': 1.4577, 'HKD': 8.6232, 'ISK': 135.4, '...2019-01-01EUR2019-12-31
2019-12-24{'CAD': 1.4582, 'HKD': 8.629, 'ISK': 135.6, 'P...2019-01-01EUR2019-12-31
2019-12-27{'CAD': 1.4592, 'HKD': 8.6845, 'ISK': 135.6, '...2019-01-01EUR2019-12-31
2019-12-30{'CAD': 1.4621, 'HKD': 8.7133, 'ISK': 135.8, '...2019-01-01EUR2019-12-31
2019-12-31{'CAD': 1.4598, 'HKD': 8.7473, 'ISK': 135.8, '...2019-01-01EUR2019-12-31
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255 rows × 4 columns

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ratesbasedate
AUD1.431400USD2020-07-16
BGN1.713510USD2020-07-16
BRL5.357806USD2020-07-16
CAD1.353776USD2020-07-16
CHF0.945067USD2020-07-16
CNY6.996758USD2020-07-16
CZK23.386192USD2020-07-16
DKK6.522867USD2020-07-16
EUR0.876117USD2020-07-16
GBP0.796171USD2020-07-16
HKD7.754512USD2020-07-16
HRK6.602068USD2020-07-16
HUF310.215525USD2020-07-16
IDR14625.004381USD2020-07-16
ILS3.434992USD2020-07-16
INR75.219467USD2020-07-16
ISK140.178728USD2020-07-16
JPY107.096548USD2020-07-16
KRW1203.557035USD2020-07-16
MXN22.345453USD2020-07-16
MYR4.271509USD2020-07-16
NOK9.299807USD2020-07-16
NZD1.527861USD2020-07-16
PHP49.499737USD2020-07-16
PLN3.936219USD2020-07-16
RON4.243298USD2020-07-16
RUB71.130892USD2020-07-16
SEK9.067811USD2020-07-16
SGD1.391975USD2020-07-16
THB31.669879USD2020-07-16
TRY6.861749USD2020-07-16
USD1.000000USD2020-07-16
ZAR16.662082USD2020-07-16
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" + ], + "text/plain": [ + " rates base date\n", + "AUD 1.431400 USD 2020-07-16\n", + "BGN 1.713510 USD 2020-07-16\n", + "BRL 5.357806 USD 2020-07-16\n", + "CAD 1.353776 USD 2020-07-16\n", + "CHF 0.945067 USD 2020-07-16\n", + "CNY 6.996758 USD 2020-07-16\n", + "CZK 23.386192 USD 2020-07-16\n", + "DKK 6.522867 USD 2020-07-16\n", + "EUR 0.876117 USD 2020-07-16\n", + "GBP 0.796171 USD 2020-07-16\n", + "HKD 7.754512 USD 2020-07-16\n", + "HRK 6.602068 USD 2020-07-16\n", + "HUF 310.215525 USD 2020-07-16\n", + "IDR 14625.004381 USD 2020-07-16\n", + "ILS 3.434992 USD 2020-07-16\n", + "INR 75.219467 USD 2020-07-16\n", + "ISK 140.178728 USD 2020-07-16\n", + "JPY 107.096548 USD 2020-07-16\n", + "KRW 1203.557035 USD 2020-07-16\n", + "MXN 22.345453 USD 2020-07-16\n", + "MYR 4.271509 USD 2020-07-16\n", + "NOK 9.299807 USD 2020-07-16\n", + "NZD 1.527861 USD 2020-07-16\n", + "PHP 49.499737 USD 2020-07-16\n", + "PLN 3.936219 USD 2020-07-16\n", + "RON 4.243298 USD 2020-07-16\n", + "RUB 71.130892 USD 2020-07-16\n", + "SEK 9.067811 USD 2020-07-16\n", + "SGD 1.391975 USD 2020-07-16\n", + "THB 31.669879 USD 2020-07-16\n", + "TRY 6.861749 USD 2020-07-16\n", + "USD 1.000000 USD 2020-07-16\n", + "ZAR 16.662082 USD 2020-07-16" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rates" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [], + "source": [ + "Rating = data['rates'].values.tolist()\n", + "rate = pd.DataFrame(Rating,columns =['INR','EUR'])" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "rate['EUR']=0" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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INREUR
079.98550
179.60800
279.43150
379.68950
480.24500
.........
25078.94550
25178.95250
25279.63700
25379.81200
25480.18700
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\n", 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