Skip to content

M
mooc-rr
Commit 5ed6218e authored by cb1e5ba91280d02583d0604166e71c1c's avatar cb1e5ba91280d02583d0604166e71c1c
Browse files
Options

no commit message

parent 049169eb
Show whitespace changes
Inline Side-by-side
Showing with 42 additions and 3 deletions
module3/exo3/exercice.ipynb
View file @ 5ed6218e
...@@ -32,7 +32,7 @@ ...@@ -32,7 +32,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 36, "execution_count": 39,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -168,7 +168,7 @@ ...@@ -168,7 +168,7 @@
"4 317.86 315.06 317.51 314.71 " "4 317.86 315.06 317.51 314.71 "
] ]
}, },
"execution_count": 36, "execution_count": 39,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
}, },
...@@ -297,7 +297,7 @@ ...@@ -297,7 +297,7 @@
"755 -99.99 -99.99 -99.99 -99.99 " "755 -99.99 -99.99 -99.99 -99.99 "
] ]
}, },
"execution_count": 36, "execution_count": 39,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
...@@ -320,6 +320,45 @@ ...@@ -320,6 +320,45 @@
"raw_data.tail(5)" "raw_data.tail(5)"
] ]
}, },
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['Unnamed: 0', ' ', ' ', ' Excel', ' ', ' [ppm]',\n",
" ' [ppm] ', ' [ppm]', ' [ppm]', ' [ppm]',\n",
" ' [ppm].1'],\n",
" dtype='object')"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
},
{
"ename": "ValueError",
"evalue": "Length mismatch: Expected axis has 11 elements, new values have 10 elements",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-43-13251efbef79>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mraw_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mraw_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'Yr'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'Mn'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'Date 1'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'Date 2'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m's1'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m's2'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m's3'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m's4'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m's5'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m's6'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m__setattr__\u001b[0;34m(self, name, value)\u001b[0m\n\u001b[1;32m 3625\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3626\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3627\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3628\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3629\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32mpandas/_libs/properties.pyx\u001b[0m in \u001b[0;36mpandas._libs.properties.AxisProperty.__set__\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m_set_axis\u001b[0;34m(self, axis, labels)\u001b[0m\n\u001b[1;32m 557\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 558\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_set_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 559\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 560\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_clear_item_cache\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 561\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36mset_axis\u001b[0;34m(self, axis, new_labels)\u001b[0m\n\u001b[1;32m 3072\u001b[0m raise ValueError('Length mismatch: Expected axis has %d elements, '\n\u001b[1;32m 3073\u001b[0m \u001b[0;34m'new values have %d elements'\u001b[0m \u001b[0;34m%\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3074\u001b[0;31m (old_len, new_len))\n\u001b[0m\u001b[1;32m 3075\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3076\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_labels\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mValueError\u001b[0m: Length mismatch: Expected axis has 11 elements, new values have 10 elements"
]
}
],
"source": [
"raw_data.columns \n",
"raw_data.columns = ['Yr','Mn','Date 1','Date 2','s1','s2','s3','s4','s5','s6']"
]
},
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment