diff --git a/7_ifc/py/742_jupyter/stp10.jpynb b/7_ifc/py/742_jupyter/stp10.jpynb
deleted file mode 100644
index 87447e6b8e5b4d05aebdbf60c533936b96df31ed..0000000000000000000000000000000000000000
--- a/7_ifc/py/742_jupyter/stp10.jpynb
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@@ -1,471 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {},
- "outputs": [],
- "source": [
- "import numpy as np\n",
- "import pandas as pd"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0 1.0\n",
- "1 3.0\n",
- "2 5.0\n",
- "3 NaN\n",
- "4 6.0\n",
- "5 8.0\n",
- "dtype: float64"
- ]
- },
- "execution_count": 4,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "s = pd.Series([1, 3, 5, np.nan, 6, 8])\n",
- "s"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "DatetimeIndex(['2013-01-01', '2013-01-02', '2013-01-03', '2013-01-04',\n",
- " '2013-01-05', '2013-01-06'],\n",
- " dtype='datetime64[ns]', freq='D')"
- ]
- },
- "execution_count": 5,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "dates = pd.date_range('20130101', periods=6)\n",
- "dates"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>A</th>\n",
- " <th>B</th>\n",
- " <th>C</th>\n",
- " <th>D</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>2013-01-01</th>\n",
- " <td>-1.480798</td>\n",
- " <td>1.254959</td>\n",
- " <td>-0.383303</td>\n",
- " <td>0.170942</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2013-01-02</th>\n",
- " <td>-0.079949</td>\n",
- " <td>2.083594</td>\n",
- " <td>0.359603</td>\n",
- " <td>-0.987005</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2013-01-03</th>\n",
- " <td>0.304971</td>\n",
- " <td>-1.527081</td>\n",
- " <td>-0.804382</td>\n",
- " <td>-0.044026</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2013-01-04</th>\n",
- " <td>1.176118</td>\n",
- " <td>-1.795567</td>\n",
- " <td>0.610545</td>\n",
- " <td>1.622611</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2013-01-05</th>\n",
- " <td>-0.127968</td>\n",
- " <td>-0.256433</td>\n",
- " <td>0.810486</td>\n",
- " <td>-0.879474</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2013-01-06</th>\n",
- " <td>-0.492543</td>\n",
- " <td>-0.421961</td>\n",
- " <td>0.783574</td>\n",
- " <td>1.088608</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " A B C D\n",
- "2013-01-01 -1.480798 1.254959 -0.383303 0.170942\n",
- "2013-01-02 -0.079949 2.083594 0.359603 -0.987005\n",
- "2013-01-03 0.304971 -1.527081 -0.804382 -0.044026\n",
- "2013-01-04 1.176118 -1.795567 0.610545 1.622611\n",
- "2013-01-05 -0.127968 -0.256433 0.810486 -0.879474\n",
- "2013-01-06 -0.492543 -0.421961 0.783574 1.088608"
- ]
- },
- "execution_count": 6,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df = pd.DataFrame(np.random.randn(6, 4), index=dates, columns=list('ABCD'))\n",
- "df\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
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- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>A</th>\n",
- " <th>B</th>\n",
- " <th>C</th>\n",
- " <th>D</th>\n",
- " <th>E</th>\n",
- " <th>F</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1.0</td>\n",
- " <td>2013-01-02</td>\n",
- " <td>1.0</td>\n",
- " <td>3</td>\n",
- " <td>test</td>\n",
- " <td>foo</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>1.0</td>\n",
- " <td>2013-01-02</td>\n",
- " <td>1.0</td>\n",
- " <td>3</td>\n",
- " <td>train</td>\n",
- " <td>foo</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>1.0</td>\n",
- " <td>2013-01-02</td>\n",
- " <td>1.0</td>\n",
- " <td>3</td>\n",
- " <td>test</td>\n",
- " <td>foo</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>1.0</td>\n",
- " <td>2013-01-02</td>\n",
- " <td>1.0</td>\n",
- " <td>3</td>\n",
- " <td>train</td>\n",
- " <td>foo</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " A B C D E F\n",
- "0 1.0 2013-01-02 1.0 3 test foo\n",
- "1 1.0 2013-01-02 1.0 3 train foo\n",
- "2 1.0 2013-01-02 1.0 3 test foo\n",
- "3 1.0 2013-01-02 1.0 3 train foo"
- ]
- },
- "execution_count": 7,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df2 = pd.DataFrame({'A': 1.,\n",
- " 'B': pd.Timestamp('20130102'),\n",
- " 'C': pd.Series(1, index=list(range(4)), dtype='float32'),\n",
- " 'D': np.array([3] * 4, dtype='int32'),\n",
- " 'E': pd.Categorical([\"test\", \"train\", \"test\", \"train\"]),\n",
- " 'F': 'foo'})\n",
- "df2"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
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- " vertical-align: top;\n",
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>A</th>\n",
- " <th>B</th>\n",
- " <th>C</th>\n",
- " <th>D</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>2013-01-01</th>\n",
- " <td>-1.480798</td>\n",
- " <td>1.254959</td>\n",
- " <td>-0.383303</td>\n",
- " <td>0.170942</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2013-01-02</th>\n",
- " <td>-0.079949</td>\n",
- " <td>2.083594</td>\n",
- " <td>0.359603</td>\n",
- " <td>-0.987005</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " A B C D\n",
- "2013-01-01 -1.480798 1.254959 -0.383303 0.170942\n",
- "2013-01-02 -0.079949 2.083594 0.359603 -0.987005"
- ]
- },
- "execution_count": 8,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df.head(2)\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
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- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>A</th>\n",
- " <th>B</th>\n",
- " <th>C</th>\n",
- " <th>D</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>2013-01-04</th>\n",
- " <td>1.176118</td>\n",
- " <td>-1.795567</td>\n",
- " <td>0.610545</td>\n",
- " <td>1.622611</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2013-01-05</th>\n",
- " <td>-0.127968</td>\n",
- " <td>-0.256433</td>\n",
- " <td>0.810486</td>\n",
- " <td>-0.879474</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2013-01-06</th>\n",
- " <td>-0.492543</td>\n",
- " <td>-0.421961</td>\n",
- " <td>0.783574</td>\n",
- " <td>1.088608</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " A B C D\n",
- "2013-01-04 1.176118 -1.795567 0.610545 1.622611\n",
- "2013-01-05 -0.127968 -0.256433 0.810486 -0.879474\n",
- "2013-01-06 -0.492543 -0.421961 0.783574 1.088608"
- ]
- },
- "execution_count": 9,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df.tail(3)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "DatetimeIndex(['2013-01-01', '2013-01-02', '2013-01-03', '2013-01-04',\n",
- " '2013-01-05', '2013-01-06'],\n",
- " dtype='datetime64[ns]', freq='D')"
- ]
- },
- "execution_count": 10,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df.index\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Index(['A', 'B', 'C', 'D'], dtype='object')"
- ]
- },
- "execution_count": 11,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- }
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- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
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- "version": 3
- },
- "file_extension": ".py",
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- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.1"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}