"
],
"text/plain": [
" column w/ spaces\n",
"0 0\n",
"1 1\n",
"2 2\n",
"3 3\n",
"4 4"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"diamonds[\"column w/ spaces\"] = range(len(diamonds))\n",
"diamonds >> select(X[\"column w/ spaces\"]) >> head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 将整个数据框传递给ggplot进行绘图"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/anaconda3/lib/python3.7/site-packages/ggplot/utils.py:81: FutureWarning: pandas.tslib is deprecated and will be removed in a future version.\n",
"You can access Timestamp as pandas.Timestamp\n",
" pd.tslib.Timestamp,\n",
"/anaconda3/lib/python3.7/site-packages/statsmodels/base/wrapper.py:100: DeprecationWarning: `formatargspec` is deprecated since Python 3.5. Use `signature` and the `Signature` object directly\n",
" defaults=argspec[3])\n",
"/anaconda3/lib/python3.7/importlib/_bootstrap.py:219: ImportWarning: can't resolve package from __spec__ or __package__, falling back on __name__ and __path__\n",
" return f(*args, **kwds)\n"
]
}
],
"source": [
"from ggplot import ggplot, aes, geom_point, facet_wrap\n",
"ggplot = DelayFunction(ggplot)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
"'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n"
]
},
{
"data": {
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\n",
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