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File path is not linking to local path #1

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5fe2a40
File path fixed
ajayversehq Mar 26, 2017
ca3a270
File path fixed
ajayversehq Mar 26, 2017
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249 changes: 59 additions & 190 deletions notebooks/10-Read HDF5 Files with Pandas.ipynb
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19 changes: 14 additions & 5 deletions notebooks/3-Creating-and-Saving Data in HDF5 Files.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": 28,
"execution_count": 1,
"metadata": {
"collapsed": true
},
Expand All @@ -14,7 +14,7 @@
},
{
"cell_type": "code",
"execution_count": 29,
"execution_count": 2,
"metadata": {
"collapsed": false
},
Expand All @@ -26,16 +26,25 @@
},
{
"cell_type": "code",
"execution_count": 30,
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"with h5py.File('/home/noureddin/Desktop/hdf5_data.h5', 'w') as hdf:\n",
"with h5py.File('hdf5_data.h5', 'w') as hdf:\n",
" hdf.create_dataset('dataset1', data=matrix1)\n",
" hdf.create_dataset('dataset2', data=matrix2)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -55,7 +64,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
"version": "3.6.0"
}
},
"nbformat": 4,
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46 changes: 23 additions & 23 deletions notebooks/4-Reading Data from HDF5 Files.ipynb
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Expand Up @@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": 40,
"execution_count": 2,
"metadata": {
"collapsed": true
},
Expand All @@ -14,7 +14,7 @@
},
{
"cell_type": "code",
"execution_count": 46,
"execution_count": 3,
"metadata": {
"collapsed": false
},
Expand All @@ -31,7 +31,7 @@
}
],
"source": [
"with h5py.File('/home/noureddin/Desktop/hdf5_data.h5','r') as hdf:\n",
"with h5py.File('hdf5_data.h5','r') as hdf:\n",
" ls = list(hdf.keys())\n",
" print('List of datasets in this file: \\n', ls)\n",
" data = hdf.get('dataset2')\n",
Expand All @@ -41,30 +41,30 @@
},
{
"cell_type": "code",
"execution_count": 48,
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"array([[ 0.86222109, 0.81552981, 0.72947893, ..., 0.8151176 ,\n",
" 0.04256893, 0.20956778],\n",
" [ 0.00223081, 0.33763078, 0.16629403, ..., 0.69963576,\n",
" 0.69310324, 0.77839365],\n",
" [ 0.50803133, 0.88046107, 0.49747202, ..., 0.3320066 ,\n",
" 0.75703668, 0.76684165],\n",
"array([[ 0.66956872, 0.28030814, 0.4792187 , ..., 0.30348151,\n",
" 0.24023435, 0.68310023],\n",
" [ 0.90639203, 0.29122778, 0.98622719, ..., 0.42119197,\n",
" 0.9156541 , 0.39235254],\n",
" [ 0.11785202, 0.47731064, 0.07724071, ..., 0.42268917,\n",
" 0.60948362, 0.7063518 ],\n",
" ..., \n",
" [ 0.96940166, 0.28428291, 0.67076274, ..., 0.79801501,\n",
" 0.20872818, 0.28581377],\n",
" [ 0.1356297 , 0.4816769 , 0.08350457, ..., 0.26126381,\n",
" 0.83913621, 0.94482347],\n",
" [ 0.2145087 , 0.21925072, 0.88852823, ..., 0.13799023,\n",
" 0.35711444, 0.97585676]])"
" [ 0.92022095, 0.75778266, 0.01065805, ..., 0.81640267,\n",
" 0.39107846, 0.4930664 ],\n",
" [ 0.11697892, 0.22992495, 0.93729896, ..., 0.51983461,\n",
" 0.52039854, 0.20982922],\n",
" [ 0.15066775, 0.93379293, 0.0358572 , ..., 0.49265581,\n",
" 0.6233502 , 0.40890147]])"
]
},
"execution_count": 48,
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -75,20 +75,20 @@
},
{
"cell_type": "code",
"execution_count": 49,
"execution_count": 6,
"metadata": {
"collapsed": true
"collapsed": false
},
"outputs": [],
"source": [
"f = h5py.File('/home/noureddin/Desktop/hdf5_data.h5', 'r')\n",
"f = h5py.File('hdf5_data.h5', 'r')\n",
"ls = list(f.keys())\n",
"f.close()"
]
},
{
"cell_type": "code",
"execution_count": 50,
"execution_count": 7,
"metadata": {
"collapsed": false
},
Expand All @@ -99,7 +99,7 @@
"['dataset1', 'dataset2']"
]
},
"execution_count": 50,
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
Expand Down Expand Up @@ -153,7 +153,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
"version": "3.6.0"
}
},
"nbformat": 4,
Expand Down
10 changes: 5 additions & 5 deletions notebooks/5-Creating Groups in HDF5 Files.ipynb
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Expand Up @@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 1,
"metadata": {
"collapsed": true
},
Expand All @@ -14,7 +14,7 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 2,
"metadata": {
"collapsed": true
},
Expand All @@ -28,13 +28,13 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"with h5py.File('/home/noureddin/Desktop/hdf5_groups.h5', 'w') as hdf:\n",
"with h5py.File('hdf5_groups.h5', 'w') as hdf:\n",
" G1 = hdf.create_group('Group1')\n",
" G1.create_dataset('dataset1', data = matrix1)\n",
" G1.create_dataset('dataset4', data = matrix4)\n",
Expand Down Expand Up @@ -82,7 +82,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
"version": "3.6.0"
}
},
"nbformat": 4,
Expand Down
2 changes: 1 addition & 1 deletion notebooks/6-Reading Groups in HDF5 Files.ipynb
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Expand Up @@ -80,7 +80,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
"version": "3.6.0"
}
},
"nbformat": 4,
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12 changes: 6 additions & 6 deletions notebooks/7-HDF5 Compress Data.ipynb
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Expand Up @@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 1,
"metadata": {
"collapsed": true
},
Expand All @@ -14,7 +14,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 3,
"metadata": {
"collapsed": true
},
Expand All @@ -28,13 +28,13 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 4,
"metadata": {
"collapsed": true
"collapsed": false
},
"outputs": [],
"source": [
"with h5py.File('/home/noureddin/Desktop/hdf5_groups_compressed.h5', 'w') as hdf:\n",
"with h5py.File('hdf5_groups_compressed.h5', 'w') as hdf:\n",
" G1 = hdf.create_group('Group1')\n",
" G1.create_dataset('dataset1', data = matrix1, compression=\"gzip\", compression_opts=9)\n",
" G1.create_dataset('dataset4', data = matrix4, compression=\"gzip\", compression_opts=9)\n",
Expand Down Expand Up @@ -73,7 +73,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
"version": "3.6.0"
}
},
"nbformat": 4,
Expand Down
14 changes: 7 additions & 7 deletions notebooks/8-HDF5 Attributes.ipynb
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Expand Up @@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": 33,
"execution_count": 1,
"metadata": {
"collapsed": true
},
Expand All @@ -14,7 +14,7 @@
},
{
"cell_type": "code",
"execution_count": 34,
"execution_count": 2,
"metadata": {
"collapsed": true
},
Expand All @@ -26,15 +26,15 @@
},
{
"cell_type": "code",
"execution_count": 35,
"execution_count": 3,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [],
"source": [
"# Create the HDF5 file\n",
"hdf = h5py.File('/home/noureddin/Desktop/test.h5', 'w')\n",
"hdf = h5py.File('test.h5', 'w')\n",
"\n",
"# Create the datasets\n",
"dataset1 = hdf.create_dataset('dataset1', data=matrix1)\n",
Expand All @@ -49,7 +49,7 @@
},
{
"cell_type": "code",
"execution_count": 36,
"execution_count": 4,
"metadata": {
"collapsed": false
},
Expand All @@ -70,7 +70,7 @@
],
"source": [
"# Read the HDF5 file\n",
"hdf = h5py.File('/home/noureddin/Desktop/test.h5', 'r')\n",
"hdf = h5py.File('test.h5', 'r')\n",
"ls = list(hdf.keys())\n",
"print('List of datasets in this file: \\n', ls)\n",
"data = hdf.get('dataset1')\n",
Expand Down Expand Up @@ -122,7 +122,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
"version": "3.6.0"
}
},
"nbformat": 4,
Expand Down
16 changes: 8 additions & 8 deletions notebooks/9-Create HDF5 Files with Pandas.ipynb
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Expand Up @@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": 68,
"execution_count": 2,
"metadata": {
"collapsed": true
},
Expand All @@ -13,14 +13,14 @@
},
{
"cell_type": "code",
"execution_count": 69,
"execution_count": 3,
"metadata": {
"collapsed": true
"collapsed": false
},
"outputs": [],
"source": [
"# creates (or opens in append mode) an hdf5 file\n",
"hdf = pd.HDFStore('/home/noureddin/Desktop/hdf5_pandas.h5')"
"hdf = pd.HDFStore('hdf5_pandas.h5')"
]
},
{
Expand All @@ -37,7 +37,7 @@
},
{
"cell_type": "code",
"execution_count": 71,
"execution_count": 4,
"metadata": {
"collapsed": false
},
Expand All @@ -55,7 +55,7 @@
},
{
"cell_type": "code",
"execution_count": 72,
"execution_count": 5,
"metadata": {
"collapsed": false
},
Expand Down Expand Up @@ -155,7 +155,7 @@
"8 Sydney 1st 61 72"
]
},
"execution_count": 72,
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
Expand Down Expand Up @@ -222,7 +222,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
"version": "3.6.0"
}
},
"nbformat": 4,
Expand Down
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