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Fixing typos and pep8 issues #5

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2ae7c93
Fixing typos and pep8 issues
Oct 24, 2020
6db227c
Adding nb_conda_kernels as a dependency for for loading up the enviro…
Oct 24, 2020
64db054
Creating new methods and validations for init
Nov 1, 2020
a9c8a8a
Adding new functions for __init__
Nov 8, 2020
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136 changes: 120 additions & 16 deletions Test Notebook.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -11,27 +11,47 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 9,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"'/Users/thiagoalves/miniconda3/envs/pandas_cub/bin/python'"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import sys\n",
"sys.executable"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 10,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The autoreload extension is already loaded. To reload it, use:\n",
" %reload_ext autoreload\n"
]
}
],
"source": [
"%load_ext autoreload\n",
"%autoreload 2"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -43,7 +63,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -63,27 +83,111 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"df"
"\n",
"df = pdc.DataFrame({'a': name,'b': name,'thiahitiathia': name,'dshuadsdhai': name,'dsodkasokdpa': name,'daysurdusduasda': name,'dsijdtaosjdaosijdosad': name,'hdusahdisaiasihdia': name,'djssaijdsaojdiasjodaoa': name, 'dsijdaosjdaosijddosad': name,'dsijdaosjdaosijdoslad': name,'dsijdaosjdposijdosad': name,'dsijdaosjdaosijdoosad': name,'dsijdaosjdyaosijdosad': name})"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 18,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/html": [
"<table><thead><tr><th></th><th>a </th><th>b </th><th>thiahitiathia</th><th>dshuadsdhai</th><th>dsodkasokdpa</th><th>daysurdusduasda</th><th>dsijdtaosjdaosijdosad</th><th>hdusahdisaiasihdia</th><th>djssaijdsaojdiasjodaoa</th><th>dsijdaosjdaosijddosad</th><th>dsijdaosjdaosijdoslad</th><th>dsijdaosjdposijdosad</th><th>dsijdaosjdaosijdoosad</th><th>dsijdaosjdyaosijdosad</th></tr></thead><tbody><tr><td><strong>0</strong></td><td>Penelope </td><td>Penelope </td><td>Penelope </td><td>Penelope </td><td>Penelope </td><td>Penelope </td><td>Penelope </td><td>Penelope </td><td>Penelope </td><td>Penelope </td><td>Penelope </td><td>Penelope </td><td>Penelope </td><td>Penelope </td></tr><tr><td><strong>1</strong></td><td>Niko </td><td>Niko </td><td>Niko </td><td>Niko </td><td>Niko </td><td>Niko </td><td>Niko </td><td>Niko </td><td>Niko </td><td>Niko </td><td>Niko </td><td>Niko </td><td>Niko </td><td>Niko </td></tr><tr><td><strong>2</strong></td><td>Eleni </td><td>Eleni </td><td>Eleni </td><td>Eleni </td><td>Eleni </td><td>Eleni </td><td>Eleni </td><td>Eleni </td><td>Eleni </td><td>Eleni </td><td>Eleni </td><td>Eleni </td><td>Eleni </td><td>Eleni </td></tr></tbody></table>"
],
"text/plain": [
"<pandas_cub.DataFrame at 0x7fb9440f18d0>"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_final"
"df"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"metadata": {},
"outputs": [],
"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>name</th>\n",
" <th>state</th>\n",
" <th>height</th>\n",
" <th>school</th>\n",
" <th>weight</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Penelope</td>\n",
" <td>Texas</td>\n",
" <td>3.6</td>\n",
" <td>True</td>\n",
" <td>45</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Niko</td>\n",
" <td>California</td>\n",
" <td>3.5</td>\n",
" <td>False</td>\n",
" <td>40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Eleni</td>\n",
" <td>Texas</td>\n",
" <td>5.2</td>\n",
" <td>True</td>\n",
" <td>130</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name state height school weight\n",
"0 Penelope Texas 3.6 True 45\n",
"1 Niko California 3.5 False 40\n",
"2 Eleni Texas 5.2 True 130"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_pandas"
]
Expand All @@ -98,9 +202,9 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python [conda env:pandas_cub] *",
"language": "python",
"name": "python3"
"name": "conda-env-pandas_cub-py"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -112,7 +216,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
"version": "3.6.12"
}
},
"nbformat": 4,
Expand Down
3 changes: 2 additions & 1 deletion environment.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -3,4 +3,5 @@ dependencies:
- python=3.6
- pandas
- jupyter
- pytest
- pytest
- nb_conda_kernels
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