mirror of
https://gitlab.rlp.net/pgp/pgp1-python-einfuehrung
synced 2024-11-16 13:48:11 +00:00
Variante mit csv um encoding-Typ erweitert; Dies ist nicht noetig fuer die numpy-Variante
This commit is contained in:
Matthias Hoek
parent
4bb9da9c59
commit
d5df6ecdd6
1 changed files with 100 additions and 14 deletions
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@ -39,7 +39,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 15,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2019-10-03T10:04:09.176914Z",
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@ -53,14 +53,27 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 26,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2019-10-03T10:05:45.212389Z",
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"start_time": "2019-10-03T10:05:45.000440Z"
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}
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},
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"outputs": [],
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"outputs": [
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{
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"ename": "ValueError",
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"evalue": "Some errors were detected !\n Line #2 (got 1 columns instead of 11)\n Line #4 (got 6 columns instead of 11)\n Line #5 (got 6 columns instead of 11)\n Line #6 (got 6 columns instead of 11)\n Line #7 (got 6 columns instead of 11)\n Line #8 (got 6 columns instead of 11)\n Line #9 (got 6 columns instead of 11)\n Line #10 (got 6 columns instead of 11)\n Line #11 (got 6 columns instead of 11)\n Line #12 (got 6 columns instead of 11)\n Line #13 (got 6 columns instead of 11)\n Line #14 (got 6 columns instead of 11)",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)",
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"\u001b[1;32m<ipython-input-26-a36749af93d0>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;31m# Notebook befindet reicht es den Dateinamen anzuegebn. Ansonsten\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;31m# müsst ihr den gesamten Pfad angeben.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgenfromtxt\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpfad\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m# <-- Einlesen der txt-Datei\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numpy\\lib\\npyio.py\u001b[0m in \u001b[0;36mgenfromtxt\u001b[1;34m(fname, dtype, comments, delimiter, skip_header, skip_footer, converters, missing_values, filling_values, usecols, names, excludelist, deletechars, replace_space, autostrip, case_sensitive, defaultfmt, unpack, usemask, loose, invalid_raise, max_rows, encoding)\u001b[0m\n\u001b[0;32m 2073\u001b[0m \u001b[1;31m# Raise an exception ?\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2074\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0minvalid_raise\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2075\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0merrmsg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2076\u001b[0m \u001b[1;31m# Issue a warning ?\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2077\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;31mValueError\u001b[0m: Some errors were detected !\n Line #2 (got 1 columns instead of 11)\n Line #4 (got 6 columns instead of 11)\n Line #5 (got 6 columns instead of 11)\n Line #6 (got 6 columns instead of 11)\n Line #7 (got 6 columns instead of 11)\n Line #8 (got 6 columns instead of 11)\n Line #9 (got 6 columns instead of 11)\n Line #10 (got 6 columns instead of 11)\n Line #11 (got 6 columns instead of 11)\n Line #12 (got 6 columns instead of 11)\n Line #13 (got 6 columns instead of 11)\n Line #14 (got 6 columns instead of 11)"
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]
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}
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],
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"source": [
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"pfad = 'BeispielDatenPGP2.txt' # <-- Pfad zur Datei, sofern sich die Datei am selben Ort wie euer\n",
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" # Notebook befindet reicht es den Dateinamen anzuegebn. Ansonsten\n",
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@ -77,14 +90,35 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 27,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2019-10-03T10:28:02.193780Z",
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"start_time": "2019-10-03T10:28:02.162533Z"
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}
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},
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"outputs": [],
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[ 1., nan, nan, -53., nan, nan],\n",
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" [ 2., nan, nan, -40., nan, nan],\n",
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" [ 3., nan, nan, -29., nan, nan],\n",
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" [ 4., nan, nan, -21., nan, nan],\n",
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" [ 5., nan, nan, -11., nan, nan],\n",
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" [ 6., nan, nan, -1., nan, nan],\n",
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" [ 7., nan, nan, 10., nan, nan],\n",
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" [ 8., nan, nan, 22., nan, nan],\n",
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" [ 9., nan, nan, 32., nan, nan],\n",
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" [ 10., nan, nan, 42., nan, nan],\n",
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" [ 11., nan, nan, 50., nan, nan]])"
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]
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},
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"execution_count": 27,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"data = np.genfromtxt(pfad, \n",
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" skip_header=3 # <-- Überspringt die ersten 3 Zeilen unserer Files\n",
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@ -129,14 +163,35 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 25,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2019-10-03T10:39:26.259305Z",
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"start_time": "2019-10-03T10:39:26.223312Z"
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}
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},
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"outputs": [],
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[ 1. , -9.9, nan, -53. , nan, nan],\n",
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" [ 2. , -6.6, nan, -40. , nan, nan],\n",
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" [ 3. , -4.7, nan, -29. , nan, nan],\n",
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" [ 4. , -3.4, nan, -21. , nan, nan],\n",
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" [ 5. , -1.8, nan, -11. , nan, nan],\n",
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" [ 6. , -0.2, nan, -1. , nan, nan],\n",
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" [ 7. , 0.9, nan, 10. , nan, nan],\n",
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" [ 8. , 2.2, nan, 22. , nan, nan],\n",
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" [ 9. , 3.3, nan, 32. , nan, nan],\n",
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" [ 10. , 4.3, nan, 42. , nan, nan],\n",
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" [ 11. , 6.3, nan, 50. , nan, nan]])"
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]
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},
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"execution_count": 25,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"np.genfromtxt(pfad, \n",
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" skip_header=3, \n",
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@ -153,14 +208,46 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 21,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2019-10-03T10:59:09.375845Z",
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"start_time": "2019-10-03T10:59:09.314951Z"
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}
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},
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"outputs": [],
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[ 1.000e+00, -9.900e+00, -2.730e+00, -5.300e+01, 2.400e+01,\n",
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" -6.864e-03],\n",
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" [ 2.000e+00, -6.600e+00, -2.030e+00, -4.000e+01, 2.400e+01,\n",
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" -6.927e-03],\n",
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" [ 3.000e+00, -4.700e+00, -1.510e+00, -2.900e+01, 2.410e+01,\n",
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" -6.867e-03],\n",
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" [ 4.000e+00, -3.400e+00, -1.090e+00, -2.100e+01, 2.410e+01,\n",
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" -6.842e-03],\n",
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" [ 5.000e+00, -1.800e+00, -5.700e-01, -1.100e+01, 2.380e+01,\n",
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" -6.892e-03],\n",
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" [ 6.000e+00, -2.000e-01, -4.000e-02, -1.000e+00, 2.410e+01,\n",
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" -6.860e-03],\n",
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" [ 7.000e+00, 9.000e-01, 5.200e-01, 1.000e+01, 2.400e+01,\n",
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" -6.849e-03],\n",
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" [ 8.000e+00, 2.200e+00, 1.090e+00, 2.200e+01, 2.400e+01,\n",
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" -6.892e-03],\n",
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" [ 9.000e+00, 3.300e+00, 1.620e+00, 3.200e+01, 2.410e+01,\n",
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" -6.869e-03],\n",
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" [ 1.000e+01, 4.300e+00, 2.150e+00, 4.200e+01, 2.420e+01,\n",
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" -6.851e-03],\n",
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" [ 1.100e+01, 6.300e+00, 2.550e+00, 5.000e+01, 2.430e+01,\n",
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" -6.860e-03]])"
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]
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},
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"execution_count": 21,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"data = np.genfromtxt(pfad,\n",
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" skip_header=3, \n",
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@ -181,7 +268,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 22,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2019-10-03T11:08:26.231136Z",
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@ -248,15 +335,14 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Leider gibt uns auch dieser Ansatz erstmal eine Fehlermeldung, da wir wieder unseren Header überspringen müssen. Hierzu können wir das Konzept eines `if`-Statements verwenden. Eine `if`-Statement evaluiert ob eine Aussage *Wahr* oder *Falsch* und führt passierende auf dem Ergebnis eine Aktion durch. \n",
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"\n",
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"Leider gibt uns auch dieser Ansatz erstmal eine Fehlermeldung, da wir wieder unseren Header überspringen müssen. Dazu wird eine weitere for-Schleife eingesetzt, die nur die Header-Zeilen liest ohne sie weiterzuverarbeiten.\n",
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"\n",
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"Um hieraus nutzen ziehen zu können müssen wir den obigen Code wie folgt modifizieren:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 14,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2019-10-06T09:14:47.437191Z",
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@ -271,7 +357,7 @@
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"\n",
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"pfad = 'BeispielDatenPGP2.txt'\n",
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"\n",
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"with open(pfad) as csvfile:\n",
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"with open(pfad, encoding=\"utf8\") as csvfile:\n",
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" readCSV = csv.reader(csvfile, delimiter='\\t')\n",
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" \n",
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" n = 3 # Anzahl der Headerzeilen, die übersprungen werden müssen\n",
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