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Diffstat (limited to 'python/notebooks/Interest Statement.ipynb')
| -rw-r--r-- | python/notebooks/Interest Statement.ipynb | 109 |
1 files changed, 9 insertions, 100 deletions
diff --git a/python/notebooks/Interest Statement.ipynb b/python/notebooks/Interest Statement.ipynb index 69518dff..1db3978a 100644 --- a/python/notebooks/Interest Statement.ipynb +++ b/python/notebooks/Interest Statement.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -23,7 +23,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -60,24 +60,9 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a0d5bf2d610b480f918704e73e02309a", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "VBox(children=(HBox(children=(Dropdown(description='Broker:', index=3, options=('BAML_FCM', 'BAML_ISDA', 'BNP'…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "from ipywidgets import widgets, Layout\n", "import datetime\n", @@ -113,43 +98,9 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "date\n", - "2019-12-02 -8,800,000.00\n", - "2019-12-03 -8,800,000.00\n", - "2019-12-04 -8,800,000.00\n", - "2019-12-05 -8,800,000.00\n", - "2019-12-06 -8,800,000.00\n", - "2019-12-09 -8,800,000.00\n", - "2019-12-10 -8,800,000.00\n", - "2019-12-11 -9,070,000.00\n", - "2019-12-12 -9,070,000.00\n", - "2019-12-13 -9,070,000.00\n", - "2019-12-16 -9,070,000.00\n", - "2019-12-17 -9,070,000.00\n", - "2019-12-18 -9,070,000.00\n", - "2019-12-19 -9,070,000.00\n", - "2019-12-20 -9,070,000.00\n", - "2019-12-23 -9,070,000.00\n", - "2019-12-26 -9,070,000.00\n", - "2019-12-27 -9,070,000.00\n", - "2019-12-30 -9,070,000.00\n", - "2020-01-01 -9,070,000.00\n", - "2020-01-02 -9,070,000.00\n", - "2020-01-03 -9,070,000.00\n", - "Name: amount, dtype: float64" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "df_gs=df_balances[df_balances.broker == \"MS\"]\n", "df_gs.groupby(df_gs.index)['amount'].sum()[\"2019-12-01\":]" @@ -157,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -186,51 +137,9 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2019-12-01 -1,217.99\n", - "2019-12-02 -1,217.99\n", - "2019-12-03 -1,210.18\n", - "2019-12-04 -1,210.18\n", - "2019-12-05 -1,210.18\n", - "2019-12-06 -1,440.10\n", - "2019-12-07 -1,440.10\n", - "2019-12-08 -1,440.10\n", - "2019-12-09 -1,440.10\n", - "2019-12-10 -1,440.10\n", - "2019-12-11 -1,440.10\n", - "2019-12-12 -1,474.54\n", - "2019-12-13 -1,474.54\n", - "2019-12-14 -1,474.54\n", - "2019-12-15 -1,474.54\n", - "2019-12-16 -1,484.06\n", - "2019-12-17 -1,484.06\n", - "2019-12-18 -1,474.54\n", - "2019-12-19 -1,474.54\n", - "2019-12-20 -1,474.54\n", - "2019-12-21 -1,474.54\n", - "2019-12-22 -1,474.54\n", - "2019-12-23 -1,474.54\n", - "2019-12-24 -1,474.54\n", - "2019-12-25 -1,474.54\n", - "2019-12-26 -1,474.54\n", - "2019-12-27 -1,474.54\n", - "2019-12-28 -1,474.54\n", - "2019-12-29 -1,474.54\n", - "2019-12-30 -1,474.54\n", - "2019-12-31 -1,474.54\n", - "Freq: D, dtype: float64" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "f(df_balances, df_rates, \"GS\", \"2019-12-01\", \"2019-12-31\").sum(axis=1)" ] |