{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd ## standard abbreviation" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Name Count\n", "0 Bob 968\n", "1 Jessica 155\n", "2 Mary 77\n", "3 John 578\n", "4 Mel 973\n" ] } ], "source": [ "# The initial set of baby names and birth rates\n", "names = ['Bob','Jessica','Mary','John','Mel']\n", "births = [968, 155, 77, 578, 973]\n", "d = {'Name': names, 'Count': births}\n", "## initialize DataFrame with a *dictionary*\n", "p = pd.DataFrame(d)\n", "print(p)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 968\n", "1 155\n", "2 77\n", "3 578\n", "4 973\n", "Name: Count, dtype: int64" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p[\"Count\"] ## extract a column = Series (by *name*)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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NameCount
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" ], "text/plain": [ " Name Count\n", "2 Mary 77" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p[2:3] ## slice one row (3-2 = 1)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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NameCount
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3John578
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" ], "text/plain": [ " Name Count\n", "2 Mary 77\n", "3 John 578" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p[2:4] ## another example" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 Bob\n", "1 Jessica\n", "2 Mary\n", "3 John\n", "4 Mel\n", "Name: Name, dtype: object" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p[\"Name\"] ## indexing: select *columns*" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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NameCount
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" ], "text/plain": [ " Name Count\n", "0 Bob 968\n", "1 Jessica 155\n", "2 Mary 77\n", "3 John 578\n", "4 Mel 973" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p[[\"Name\",\"Count\"]] ## extract multiple columns (data frame)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CountName
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" ], "text/plain": [ " Count Name\n", "0 968 Bob\n", "1 155 Jessica\n", "2 77 Mary\n", "3 578 John\n", "4 973 Mel" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p[[\"Count\",\"Name\"]] ## order matters" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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NameCount
0Bob968
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" ], "text/plain": [ " Name Count\n", "0 Bob 968\n", "1 Jessica 155\n", "2 Mary 77" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p.iloc[1,1] ## indexing or slicing by integer index\n", "p.iloc[0:3,:]" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Mel'" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p[\"Name\"][4] ## \"chaining\": index first by column, then by row" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 Bob\n", "1 Jessica\n", "2 Mary\n", "3 John\n", "4 Mel\n", "Name: Name, dtype: object" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p.Name ## indexing as attribute" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 Bob\n", "1 Jessica\n", "2 Mary\n", "3 John\n", "4 Mel\n", "Name: Name, dtype: object" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "c = \"Name\" ## indirect indexing\n", "p[c]" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1 Jessica\n", "2 Mary\n", "Name: Name, dtype: object" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p.loc[1:2,\"Name\"] ## index rows and columns by name" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n" ] }, { "data": { "text/html": [ "
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YEARWEEKALABAMAALASKAAMERICAN SAMOAARIZONAARKANSASCALIFORNIACOLORADOCONNECTICUT...UPSTATE NEW YORKUTAHVERMONTVIRGIN ISLANDSVIRGINIAWASHINGTONWEST VIRGINIAWISCONSINWYOMINGUnnamed: 61
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5 rows × 62 columns

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" ], "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": { "text/html": [ "
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MASSACHUSETTSMICHIGANMINNESOTAMISSISSIPPIMISSOURIMONTANANEBRASKANEVADA
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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": { "text/html": [ "
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MASSACHUSETTSMICHIGANMINNESOTAMISSISSIPPIMISSOURIMONTANANEBRASKANEVADA
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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": [ "
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YEARWEEKARIZONA
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" ], "text/plain": [ " YEAR WEEK ARIZONA\n", "1001 1928 11 31.0\n", "1002 1928 12 27.0\n", "1003 1928 13 33.0\n", "1004 1928 14 33.0\n", "1005 1928 15 34.0" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p.loc[1001:1005,[\"YEAR\",\"WEEK\",\"ARIZONA\"]] ## grab a few rows in the middle, a few columns" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1 1909\n", "2 1909\n", "3 1909\n", "4 1909\n", "Name: YEAR, dtype: int64" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p.YEAR[1:5]" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1 2\n", "2 3\n", "3 4\n", "4 5\n", "Name: WEEK, dtype: int64" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p.WEEK[1:5]" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "## dropping the metadata, extracting a data frame with only measles case\n", "## (not week and year)\n", "pp = p.drop([\"YEAR\",\"WEEK\"],axis=1)\n", "## equivalent to:\n", "pp2 = p.iloc[:,2:]\n", "pp3 = p.loc[:,\"ALABAMA\":]" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(4861, 60) (4861, 60) (4861, 60)\n" ] } ], "source": [ "print(pp.shape, pp2.shape, pp3.shape) ## check they're all the same" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "True\n", "True\n" ] } ], "source": [ "import numpy as np\n", "print(np.all(pp.columns==pp2.columns)) ## check that all columns are the same\n", "print(np.sum(pp.columns==pp2.columns) == len(pp.columns)) ## or compare to number of columns" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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5 rows × 60 columns

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" ], "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": { "image/png": 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\n", 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" ] }, "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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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "p.plot(legend=False) ## better (still some bad stuff ...)" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "p.sum(axis=1).plot() ## total cases per week" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "## calculate weekly totals\n", "pweek=p.groupby(p.WEEK).aggregate(sum)" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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YEARALABAMAALASKAAMERICAN SAMOAARIZONAARKANSASCALIFORNIACOLORADOCONNECTICUTDELAWARE...TEXASUPSTATE NEW YORKUTAHVERMONTVIRGINIAWASHINGTONWEST VIRGINIAWISCONSINWYOMINGUnnamed: 61
WEEK
11255152443.0429.00.01907.01611.011141.02906.05501.0583.0...12520.0666.03022.02355.04459.06075.06027.011573.0829.00.0
21254592722.0475.00.02338.02572.016531.03741.06726.0683.0...15194.0515.03300.02457.05677.08474.05822.015633.0568.00.0
31333823455.0374.00.02755.02208.017626.03909.07141.0897.0...19455.0576.03898.02858.06566.07834.06486.018651.0557.00.0
41353854683.0612.00.02922.02828.019802.04554.07462.0726.0...20656.0819.04324.02796.07764.09854.05912.018745.0885.00.0
51393764439.0332.00.03606.03540.024843.04950.09968.0942.0...24686.0475.04099.03060.08492.011146.07078.021043.01010.00.0
\n", "

5 rows × 60 columns

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" ], "text/plain": [ " YEAR ALABAMA ALASKA AMERICAN SAMOA ARIZONA ARKANSAS CALIFORNIA \\\n", "WEEK \n", "1 125515 2443.0 429.0 0.0 1907.0 1611.0 11141.0 \n", "2 125459 2722.0 475.0 0.0 2338.0 2572.0 16531.0 \n", "3 133382 3455.0 374.0 0.0 2755.0 2208.0 17626.0 \n", "4 135385 4683.0 612.0 0.0 2922.0 2828.0 19802.0 \n", "5 139376 4439.0 332.0 0.0 3606.0 3540.0 24843.0 \n", "\n", " COLORADO CONNECTICUT DELAWARE ... TEXAS UPSTATE NEW YORK UTAH \\\n", "WEEK ... \n", "1 2906.0 5501.0 583.0 ... 12520.0 666.0 3022.0 \n", "2 3741.0 6726.0 683.0 ... 15194.0 515.0 3300.0 \n", "3 3909.0 7141.0 897.0 ... 19455.0 576.0 3898.0 \n", "4 4554.0 7462.0 726.0 ... 20656.0 819.0 4324.0 \n", "5 4950.0 9968.0 942.0 ... 24686.0 475.0 4099.0 \n", "\n", " VERMONT VIRGINIA WASHINGTON WEST VIRGINIA WISCONSIN WYOMING \\\n", "WEEK \n", "1 2355.0 4459.0 6075.0 6027.0 11573.0 829.0 \n", "2 2457.0 5677.0 8474.0 5822.0 15633.0 568.0 \n", "3 2858.0 6566.0 7834.0 6486.0 18651.0 557.0 \n", "4 2796.0 7764.0 9854.0 5912.0 18745.0 885.0 \n", "5 3060.0 8492.0 11146.0 7078.0 21043.0 1010.0 \n", "\n", " Unnamed: 61 \n", "WEEK \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "5 0.0 \n", "\n", "[5 rows x 60 columns]" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pweek.head()" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "pweek.plot(legend=False)" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [], "source": [ "psum = pp.sum(axis=1) ## total cases" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1909.230769 12.0\n", "1921.365385 1.0\n", "1922.788462 2.0\n", "1922.942308 24.0\n", "1922.961538 1.0\n", "dtype: float64" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "psum.head()" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [], "source": [ "pyrcat = pd.qcut(p.YEAR,q=3)" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1909.230769 (1908.999, 1951.0]\n", "1921.365385 (1908.999, 1951.0]\n", "Name: YEAR, dtype: category\n", "Categories (3, interval[float64]): [(1908.999, 1951.0] < (1951.0, 1974.0] < (1974.0, 2001.0]]" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pyrcat.head(2)" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "2001.730769 (1974.0, 2001.0]\n", "2001.750000 (1974.0, 2001.0]\n", "Name: YEAR, dtype: category\n", "Categories (3, interval[float64]): [(1908.999, 1951.0] < (1951.0, 1974.0] < (1974.0, 2001.0]]" ] }, "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pyrcat.tail(2)" ] }, { "cell_type": "code", "execution_count": 87, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "pandas.core.series.Series" ] }, "execution_count": 87, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p2 = pd.DataFrame({\"WEEK\":p.WEEK,\"yrcat\":pyrcat,\"total\":psum})\n", "p2sum = p2.groupby(by=[\"WEEK\",\"yrcat\"]).aggregate(sum)\n", "type(p2sum)\n", "p2sum.columns\n", "type(p2sum.total)\n", "## https://stackoverflow.com/questions/19202093/how-to-select-columns-from-groupby-object-in-pandas\n", "## p2sum.index.get_level_values(\"WEEK\")\n" ] }, { "cell_type": "code", "execution_count": 99, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "yrcatvals = p2sum.index.get_level_values(\"yrcat\")\n", "fig, ax = plt.subplots()\n", "for i in range(3):\n", " yrcat_cases = np.array(p2sum.total)[yrcatvals==yrcatvals[i]]\n", " yrcat_cases /= np.nanmax(yrcat_cases)\n", " ax.plot(yrcat_cases)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }