"
],
"text/plain": [
" YEAR WEEK ALABAMA ALASKA AMERICAN SAMOA ARIZONA ARKANSAS \\\n",
"4856 2001 48 NaN NaN NaN NaN NaN \n",
"4857 2001 49 NaN NaN NaN NaN NaN \n",
"4858 2001 50 NaN NaN NaN NaN NaN \n",
"4859 2001 51 NaN NaN NaN NaN NaN \n",
"4860 2001 52 NaN NaN NaN NaN NaN \n",
"\n",
" CALIFORNIA COLORADO CONNECTICUT ... UPSTATE NEW YORK UTAH VERMONT \\\n",
"4856 NaN NaN NaN ... NaN NaN NaN \n",
"4857 NaN NaN NaN ... NaN NaN NaN \n",
"4858 NaN NaN NaN ... NaN NaN NaN \n",
"4859 NaN NaN NaN ... NaN NaN NaN \n",
"4860 NaN NaN NaN ... NaN NaN NaN \n",
"\n",
" VIRGIN ISLANDS VIRGINIA WASHINGTON WEST VIRGINIA WISCONSIN WYOMING \\\n",
"4856 NaN NaN NaN NaN NaN NaN \n",
"4857 NaN NaN NaN NaN NaN NaN \n",
"4858 NaN NaN NaN NaN NaN NaN \n",
"4859 NaN NaN NaN NaN NaN NaN \n",
"4860 NaN NaN NaN NaN NaN NaN \n",
"\n",
" Unnamed: 61 \n",
"4856 NaN \n",
"4857 NaN \n",
"4858 NaN \n",
"4859 NaN \n",
"4860 NaN \n",
"\n",
"[5 rows x 62 columns]"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## read measles data\n",
"fn = \"MEASLES_Cases_1909-2001_20150322001618.csv\"\n",
"p = pd.read_csv(fn,\n",
" skiprows=2, ## first two rows should be ignored\n",
" na_values=[\"-\"]) ## treat - as \"not a number\"\n",
"print(type(p))\n",
"p.head() ## first few lines\n",
"p.tail() ## last few lines"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
" MASSACHUSETTS MICHIGAN MINNESOTA MISSISSIPPI MISSOURI MONTANA \\\n",
"0 NaN NaN NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN NaN NaN \n",
"2 NaN NaN NaN NaN NaN NaN \n",
"3 NaN NaN NaN NaN NaN NaN \n",
"4 NaN NaN NaN NaN NaN NaN \n",
"\n",
" NEBRASKA NEVADA \n",
"0 NaN NaN \n",
"1 NaN NaN \n",
"2 NaN NaN \n",
"3 NaN NaN \n",
"4 NaN NaN "
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p.loc[:,\"MASSACHUSETTS\":\"NEVADA\"].head() ## grab a subset of columns\n"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Index(['YEAR', 'WEEK', 'ALABAMA', 'ALASKA', 'AMERICAN SAMOA', 'ARIZONA',\n",
" 'ARKANSAS', 'CALIFORNIA', 'COLORADO', 'CONNECTICUT', 'DELAWARE',\n",
" 'DISTRICT OF COLUMBIA', 'FLORIDA', 'GEORGIA', 'GUAM', 'HAWAII', 'IDAHO',\n",
" 'ILLINOIS', 'INDIANA', 'IOWA', 'KANSAS', 'KENTUCKY', 'LOUISIANA',\n",
" 'MAINE', 'MARYLAND', 'MASSACHUSETTS', 'MICHIGAN', 'MINNESOTA',\n",
" 'MISSISSIPPI', 'MISSOURI', 'MONTANA', 'NEBRASKA', 'NEVADA',\n",
" 'NEW HAMPSHIRE', 'NEW JERSEY', 'NEW MEXICO', 'NEW YORK',\n",
" 'NEW YORK CITY', 'NORTH CAROLINA', 'NORTH DAKOTA',\n",
" 'NORTHERN MARIANA ISLANDS', 'OHIO', 'OKLAHOMA', 'OREGON',\n",
" 'PAC TRUST TERR', 'PENNSYLVANIA', 'PUERTO RICO', 'RHODE ISLAND',\n",
" 'SOUTH CAROLINA', 'SOUTH DAKOTA', 'TENNESSEE', 'TEXAS',\n",
" 'UPSTATE NEW YORK', 'UTAH', 'VERMONT', 'VIRGIN ISLANDS', 'VIRGINIA',\n",
" 'WASHINGTON', 'WEST VIRGINIA', 'WISCONSIN', 'WYOMING', 'Unnamed: 61'],\n",
" dtype='object')\n"
]
}
],
"source": [
"pc = p.columns\n",
"print(pc)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"25 32\n"
]
}
],
"source": [
"## alternative method for getting the same columns\n",
"## https://stackoverflow.com/questions/13021654/get-column-index-from-column-name-in-python-pandas\n",
"mass_ind = pc.get_loc(\"MASSACHUSETTS\")\n",
"neva_ind = pc.get_loc(\"NEVADA\")\n",
"print(mass_ind, neva_ind)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
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NEBRASKA
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NEVADA
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"text/plain": [
" MASSACHUSETTS MICHIGAN MINNESOTA MISSISSIPPI MISSOURI MONTANA \\\n",
"0 NaN NaN NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN NaN NaN \n",
"2 NaN NaN NaN NaN NaN NaN \n",
"3 NaN NaN NaN NaN NaN NaN \n",
"4 NaN NaN NaN NaN NaN NaN \n",
"5 NaN NaN NaN NaN NaN NaN \n",
"\n",
" NEBRASKA NEVADA \n",
"0 NaN NaN \n",
"1 NaN NaN \n",
"2 NaN NaN \n",
"3 NaN NaN \n",
"4 NaN NaN \n",
"5 NaN NaN "
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p.iloc[:6,25:33] ## look at just first few rows"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
],
"text/plain": [
" ALABAMA ALASKA AMERICAN SAMOA ARIZONA ARKANSAS CALIFORNIA \\\n",
"1909.000000 NaN NaN NaN NaN NaN NaN \n",
"1909.019231 NaN NaN NaN NaN NaN NaN \n",
"1909.038462 NaN NaN NaN NaN NaN NaN \n",
"1909.057692 NaN NaN NaN NaN NaN NaN \n",
"1909.076923 NaN NaN NaN NaN NaN NaN \n",
"\n",
" COLORADO CONNECTICUT DELAWARE DISTRICT OF COLUMBIA ... \\\n",
"1909.000000 NaN NaN NaN NaN ... \n",
"1909.019231 NaN NaN NaN NaN ... \n",
"1909.038462 NaN NaN NaN NaN ... \n",
"1909.057692 NaN NaN NaN NaN ... \n",
"1909.076923 NaN NaN NaN NaN ... \n",
"\n",
" UPSTATE NEW YORK UTAH VERMONT VIRGIN ISLANDS VIRGINIA \\\n",
"1909.000000 NaN NaN NaN NaN NaN \n",
"1909.019231 NaN NaN NaN NaN NaN \n",
"1909.038462 NaN NaN NaN NaN NaN \n",
"1909.057692 NaN NaN NaN NaN NaN \n",
"1909.076923 NaN NaN NaN NaN NaN \n",
"\n",
" WASHINGTON WEST VIRGINIA WISCONSIN WYOMING Unnamed: 61 \n",
"1909.000000 NaN NaN NaN NaN NaN \n",
"1909.019231 NaN NaN NaN NaN NaN \n",
"1909.038462 NaN NaN NaN NaN NaN \n",
"1909.057692 NaN NaN NaN NaN NaN \n",
"1909.076923 NaN NaN NaN NaN NaN \n",
"\n",
"[5 rows x 60 columns]"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## index is not the name of a column in pp: special attribute\n",
"## (the row names)\n",
"## use date (as a float) as row names\n",
"p.index = p.YEAR + (p.WEEK-1)/52\n",
"pp.index = p.YEAR+(p.WEEK-1)/52\n",
"pp.head()"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"pp.plot(legend=False,logy=True)\n",
"## very ugly with legend included ...\n",
"## log scale helps with de-emphasizing the very large y axis scale"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(4861, 62)\n"
]
}
],
"source": [
"print(p.shape)\n",
"num_na = np.isnan(p).sum(axis=1) ## number of nan values per row"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"p = p.loc[num_na<60,:] ## subset data \n",
"pp = pp.loc[num_na<60,:]\n",
"## we probably should have waited to extract pp until after we dropped all-NA rows"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"p.plot(legend=False) ## better, but we still have a bad scale"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"53000.0"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## maximum value in the entire data set:\n",
"## first calculate row maxima, then max of these values\n",
"## nan values are ignored!\n",
"## https://stackoverflow.com/questions/24571005/return-max-value-from-panda-dataframe-as-a-whole-not-based-on-column-or-rows\n",
"pp.max(axis=1).max()"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"KENTUCKY 10402.0\n",
"VIRGIN ISLANDS 53000.0\n",
"dtype: float64"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## what are the really big values?\n",
"pmax = pp.max(axis=0)\n",
"pmax[pmax>10000]"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"## let's just git rid of this column completely\n",
"p = p.drop([\"VIRGIN ISLANDS\"],axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
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