{ "cells": [ { "cell_type": "markdown", "id": "2fc37333-2cee-49f4-a498-aa857728960d", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "# Exploring and Analyzing Paris trees data" ] }, { "cell_type": "markdown", "id": "00f55996-8368-403f-9681-ebf93cc9b675", "metadata": {}, "source": [ "Taken from https://s3-eu-west-1.amazonaws.com/static.oc-static.com/prod/courses/files/AI+Engineer/Project+2+Participez+%C3%A0+un+concours+sur+la+Smart+City/p2-arbres-fr.csv, coming from https://opendata.paris.fr/explore/dataset/les-arbres/map/?dataChart=eyJxdWVyaWVzIjpbeyJjb25maWciOnsiZGF0YXNldCI6Imxlcy1hcmJyZXMiLCJvcHRpb25zIjp7fX0sImNoYXJ0cyI6W3siYWxpZ25Nb250aCI6dHJ1ZSwidHlwZSI6ImNvbHVtbiIsImZ1bmMiOiJBVkciLCJ5QXhpcyI6ImlkYmFzZSIsInNjaWVudGlmaWNEaXNwbGF5Ijp0cnVlLCJjb2xvciI6IiMwMDMzNjYifV0sInhBeGlzIjoidHlwZWVtcGxhY2VtZW50IiwibWF4cG9pbnRzIjo1MCwic29ydCI6IiJ9XSwidGltZXNjYWxlIjoiIiwiZGlzcGxheUxlZ2VuZCI6dHJ1ZSwiYWxpZ25Nb250aCI6dHJ1ZX0%3D&disjunctive.typeemplacement&disjunctive.arrondissement&disjunctive.libellefrancais&disjunctive.genre&disjunctive.espece&disjunctive.varieteoucultivar&disjunctive.stadedeveloppement&disjunctive.remarquable&location=12,48.85984,2.31341&basemap=jawg.streets" ] }, { "cell_type": "markdown", "id": "fbde0d3c-52bf-47db-a9d9-97cffa4b75a2", "metadata": {}, "source": [ "## 1) Opening csv file" ] }, { "cell_type": "code", "execution_count": 1, "id": "47f591da-19b2-4972-9fa8-f84bb909bec3", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [], "source": [ "import pandas as pd\n", "pd.set_option('display.float_format', '{:.2f}'.format) # don't want scientific notation. Floats are enough\n", "\n", "csv_path = \"./p2-trees-fr.csv\"\n", "df = pd.read_csv(csv_path, sep=';')" ] }, { "cell_type": "markdown", "id": "c1f5c665-5623-4a26-9dd4-a3a1471938cc", "metadata": {}, "source": [ "## 2) Naive Analysis" ] }, { "cell_type": "markdown", "id": "8484f605-2a28-46c8-99ed-e9594fdf6fb8", "metadata": {}, "source": [ "### Use pandas basic methods" ] }, { "cell_type": "code", "execution_count": 2, "id": "0a6d1dc0-c9c0-4868-95fe-fb076c3272f5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Size in MB:\n" ] }, { "data": { "text/plain": [ "131.216112" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import sys\n", "print('Size in MB:')\n", "sys.getsizeof(df)/(10**6)" ] }, { "cell_type": "code", "execution_count": 3, "id": "de7d0337-c19a-403c-b11b-483c3b36396d", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 200137 entries, 0 to 200136\n", "Data columns (total 18 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 id 200137 non-null int64 \n", " 1 type_emplacement 200137 non-null object \n", " 2 domanialite 200136 non-null object \n", " 3 arrondissement 200137 non-null object \n", " 4 complement_addresse 30902 non-null object \n", " 5 numero 0 non-null float64\n", " 6 lieu 200137 non-null object \n", " 7 id_emplacement 200137 non-null object \n", " 8 libelle_francais 198640 non-null object \n", " 9 genre 200121 non-null object \n", " 10 espece 198385 non-null object \n", " 11 variete 36777 non-null object \n", " 12 circonference_cm 200137 non-null int64 \n", " 13 hauteur_m 200137 non-null int64 \n", " 14 stade_developpement 132932 non-null object \n", " 15 remarquable 137039 non-null float64\n", " 16 geo_point_2d_a 200137 non-null float64\n", " 17 geo_point_2d_b 200137 non-null float64\n", "dtypes: float64(4), int64(3), object(11)\n", "memory usage: 27.5+ MB\n" ] } ], "source": [ "df.info() # display count of columns, lines and columns names" ] }, { "cell_type": "code", "execution_count": 4, "id": "db73c32b-9264-4629-9a3f-f355dd60585c", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " id type_emplacement domanialite arrondissement complement_addresse \\\n", "0 99874 Arbre Jardin PARIS 7E ARRDT NaN \n", "1 99875 Arbre Jardin PARIS 7E ARRDT NaN \n", "\n", " numero lieu id_emplacement \\\n", "0 NaN MAIRIE DU 7E 116 RUE DE GRENELLE PARIS 7E 19 \n", "1 NaN MAIRIE DU 7E 116 RUE DE GRENELLE PARIS 7E 20 \n", "\n", " libelle_francais genre espece variete circonference_cm \\\n", "0 Marronnier Aesculus hippocastanum NaN 20 \n", "1 If Taxus baccata NaN 65 \n", "\n", " hauteur_m stade_developpement remarquable geo_point_2d_a geo_point_2d_b \n", "0 5 NaN 0.00 48.86 2.32 \n", "1 8 A NaN 48.86 2.32 " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head(2) # display 2 first lines" ] }, { "cell_type": "code", "execution_count": 5, "id": "19a84af9-8b18-4c29-9ede-37a3de29f542", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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idnumerocirconference_cmhauteur_mremarquablegeo_point_2d_ageo_point_2d_b
count200137.000.00200137.00200137.00137039.00200137.00200137.00
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std545603.24NaN673.191971.220.040.030.05
min99874.00NaN0.000.000.0048.742.21
25%155927.00NaN30.005.000.0048.842.31
50%221078.00NaN70.008.000.0048.852.35
75%274102.00NaN115.0012.000.0048.882.39
max2024745.00NaN250255.00881818.001.0048.912.47
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" ], "text/plain": [ " id numero circonference_cm hauteur_m remarquable \\\n", "count 200137.00 0.00 200137.00 200137.00 137039.00 \n", "mean 387202.68 NaN 83.38 13.11 0.00 \n", "std 545603.24 NaN 673.19 1971.22 0.04 \n", "min 99874.00 NaN 0.00 0.00 0.00 \n", "25% 155927.00 NaN 30.00 5.00 0.00 \n", "50% 221078.00 NaN 70.00 8.00 0.00 \n", "75% 274102.00 NaN 115.00 12.00 0.00 \n", "max 2024745.00 NaN 250255.00 881818.00 1.00 \n", "\n", " geo_point_2d_a geo_point_2d_b \n", "count 200137.00 200137.00 \n", "mean 48.85 2.35 \n", "std 0.03 0.05 \n", "min 48.74 2.21 \n", "25% 48.84 2.31 \n", "50% 48.85 2.35 \n", "75% 48.88 2.39 \n", "max 48.91 2.47 " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.describe()# general statistics only on number types variables (int and floats)\n", "\n", "# problems:\n", "## 0 as min value for circumference, height\n", "## > 250000 cm as circumference, > 800000 m as height" ] }, { "cell_type": "code", "execution_count": 6, "id": "39814cb4-bb3c-4448-a5af-a95d26923b67", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "type_emplacement\n", "Arbre 200137\n", "Name: count, dtype: int64\n", "\n", "domanialite\n", "Alignement 104949\n", "Jardin 46262\n", "CIMETIERE 31926\n", "DASCO 6422\n", "PERIPHERIQUE 5327\n", "DJS 3900\n", "DFPE 1325\n", "DAC 21\n", "DASES 4\n", "Name: count, dtype: int64\n", "\n", "arrondissement\n", "PARIS 15E ARRDT 17151\n", "PARIS 13E ARRDT 16712\n", "PARIS 16E ARRDT 16403\n", "PARIS 20E ARRDT 15340\n", "PARIS 19E ARRDT 13709\n", "PARIS 12E ARRDT 12600\n", "SEINE-SAINT-DENIS 11570\n", "BOIS DE VINCENNES 11510\n", "PARIS 14E ARRDT 11399\n", "PARIS 17E ARRDT 10762\n", "PARIS 18E ARRDT 10011\n", "PARIS 7E ARRDT 8617\n", "VAL-DE-MARNE 7580\n", "PARIS 8E ARRDT 7245\n", "PARIS 11E ARRDT 5658\n", "HAUTS-DE-SEINE 5298\n", "BOIS DE BOULOGNE 3978\n", "PARIS 10E ARRDT 3385\n", "PARIS 4E ARRDT 2740\n", "PARIS 5E ARRDT 2368\n", "PARIS 6E ARRDT 1764\n", "PARIS 1ER ARRDT 1413\n", "PARIS 3E ARRDT 1209\n", "PARIS 9E ARRDT 1167\n", "PARIS 2E ARRDT 548\n", "Name: count, dtype: int64\n", "\n", "lieu\n", "PARC FLORAL DE PARIS / ROUTE DE LA PYRAMIDE 2995\n", "PARC DES BUTTES CHAUMONT 2331\n", "PARC ANDRE CITROEN 2095\n", "PARC OMNISPORT SUZANNE LENGLEN / 7 BOULEVARD DES FRERES VOISIN 1478\n", "INSEP / AVENUE DU TREMBLAY 1293\n", " ... \n", "CIMETIERE ST VINCENT / DIV 5 1\n", "ROUTE DU LAC A BAGATELLE 1\n", "ROUTE DE LA PORTE SAINT-JAMES 1\n", "PENTE DE GRAVELLE - AVENUE DE GRAVELLE / ROUTE NOUVELLE 1\n", "CIMETIERE DE PANTIN / DIV 66 1\n", "Name: count, Length: 6921, dtype: int64\n", "\n", "id_emplacement\n", "101001 1324\n", "101002 1241\n", "101003 1128\n", "202001 1032\n", "101004 1020\n", " ... \n", "A15100096004 1\n", "A15100096003 1\n", "A15100096002 1\n", "A15100096001 1\n", "720170155 1\n", "Name: count, Length: 69040, dtype: int64\n", "\n", "libelle_francais\n", "Platane 42508\n", "Marronnier 25207\n", "Tilleul 21305\n", "Erable 18389\n", "Sophora 11797\n", " ... \n", "Cordyline 1\n", "Camphrier 1\n", "Jujubier 1\n", "Maackie 1\n", "Garrya 1\n", "Name: count, Length: 192, dtype: int64\n", "\n", "genre\n", "Platanus 42591\n", "Aesculus 25341\n", "Tilia 21550\n", "Acer 18471\n", "Sophora 11830\n", " ... \n", "Sycopsis 1\n", "Enkianthus 1\n", "Euscaphis 1\n", "Phyllanthus 1\n", "Washingtonia 1\n", "Name: count, Length: 175, dtype: int64\n", "\n", "espece\n", "x hispanica 36409\n", "hippocastanum 20039\n", "japonica 11822\n", "n. sp. 9063\n", "tomentosa 8962\n", " ... \n", "polycarpa 1\n", "x gondouinii 1\n", "lusitanica subsp.azorica 1\n", "oliveri 1\n", "delavayi subsp. potaninii 1\n", "Name: count, Length: 539, dtype: int64\n", "\n", "variete\n", "Baumannii' 4538\n", "Briotii' 2827\n", "Euchlora' 2756\n", "Chanticleer' 2595\n", "Fastigiata' 2483\n", " ... \n", "Conspicua' 1\n", "Concordia' 1\n", "Kojou-no-mai' 1\n", "Nizetii' 1\n", "Grosse Pomme Noire' 1\n", "Name: count, Length: 436, dtype: int64\n", "\n", "hauteur_m\n", "0 39219\n", "10 28632\n", "5 26345\n", "15 17228\n", "8 13628\n", " ... \n", "97 1\n", "5155 1\n", "815 1\n", "218 1\n", "157 1\n", "Name: count, Length: 143, dtype: int64\n", "\n", "stade_developpement\n", "A 64438\n", "JA 35444\n", "J 26937\n", "M 6113\n", "Name: count, dtype: int64\n", "\n", "remarquable\n", "0.00 136855\n", "1.00 184\n", "Name: count, dtype: int64\n", "\n", "geo_point_2d_a\n", "48.83 2\n", "48.84 2\n", "48.84 2\n", "48.76 2\n", "48.86 2\n", " ..\n", "48.84 1\n", "48.84 1\n", "48.84 1\n", "48.84 1\n", "48.82 1\n", "Name: count, Length: 200107, dtype: int64\n", "\n", "geo_point_2d_b\n", "2.30 2\n", "2.37 2\n", "2.39 2\n", "2.31 2\n", "2.34 2\n", " ..\n", "2.28 1\n", "2.28 1\n", "2.28 1\n", "2.28 1\n", "2.45 1\n", "Name: count, Length: 200114, dtype: int64\n", "\n" ] } ], "source": [ "# for column in df.columns[1:]:\n", " # df[column].value_counts()\n", "# df.columns\n", "# distribution discrète\n", "for column in ['type_emplacement', 'domanialite', 'arrondissement',\n", " 'lieu', 'id_emplacement', 'libelle_francais', 'genre', 'espece', 'variete',\n", " 'hauteur_m', 'stade_developpement', 'remarquable', 'geo_point_2d_a',\n", " 'geo_point_2d_b']:\n", " print(df[column].value_counts())\n", " print()\n", "# print(column + ':')\n", "# print(df[column].value_counts())\n", "# print()" ] }, { "cell_type": "markdown", "id": "c3ad81a0-ba4b-4737-9fe7-0434a05df987", "metadata": {}, "source": [ "--> Statistic indicators seem to be coherent except max and min. When min == 0, is there 0 for other variables" ] }, { "cell_type": "markdown", "id": "3c27d18f-28e5-4ab1-9841-e8c052f7d8ba", "metadata": {}, "source": [ "### Looking for data anomalies" ] }, { "cell_type": "markdown", "id": "2b021e60-5ec2-4fc8-adc3-70a6895de590", "metadata": {}, "source": [ "#### Nan values" ] }, { "cell_type": "code", "execution_count": 7, "id": "8dc879a1-e6a7-49d9-bdce-3cde4f9180e5", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "Index(['id', 'type_emplacement', 'domanialite', 'arrondissement',\n", " 'complement_addresse', 'numero', 'lieu', 'id_emplacement',\n", " 'libelle_francais', 'genre', 'espece', 'variete', 'circonference_cm',\n", " 'hauteur_m', 'stade_developpement', 'remarquable', 'geo_point_2d_a',\n", " 'geo_point_2d_b'],\n", " dtype='object')" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.columns # columns (type of data)" ] }, { "cell_type": "code", "execution_count": 8, "id": "dc1a2e62-599e-482a-bbd2-74d3bf5ad727", "metadata": {}, "outputs": [], "source": [ "import numpy as np" ] }, { "cell_type": "code", "execution_count": 9, "id": "30c92999-69cd-4158-b257-fc1557095c3e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([ 0, 0, 1, 0, 169235, 200137, 0, 0,\n", " 1497, 16, 1752, 163360, 0, 0, 67205, 63098,\n", " 0, 0])" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# number of 'nan' for each column\n", "column_nb_of_nans = np.array([], dtype='int')\n", "for column in df.columns:\n", " where_nan = df[df[column].isna()]\n", " column_nb_of_nans = np.concatenate((column_nb_of_nans,[len(where_nan)]))\n", "column_nb_of_nans" ] }, { "cell_type": "code", "execution_count": 10, "id": "1a78605d-63af-4c9b-accc-3f9f7da5197f", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of nan for each variable that contains minimum 1 occurrence:\n" ] }, { "data": { "text/html": [ "
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domanialitecomplement_addressenumerolibelle_francaisgenreespecevarietestade_developpementremarquable
0116923520013714971617521633606720563098
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" ], "text/plain": [ " domanialite complement_addresse numero libelle_francais genre espece \\\n", "0 1 169235 200137 1497 16 1752 \n", "\n", " variete stade_developpement remarquable \n", "0 163360 67205 63098 " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# dataframe with number of nans per column only when one nan or more\n", "where_nans = np.where(column_nb_of_nans>0)\n", "columns_with_nans_df = pd.DataFrame([column_nb_of_nans[where_nans]], columns = df.columns[where_nans])\n", "print('Number of nan for each variable that contains minimum 1 occurrence:')\n", "columns_with_nans_df" ] }, { "cell_type": "markdown", "id": "36270ac3-4085-433c-ae0b-86a95b66debe", "metadata": {}, "source": [ "#### Other outliers (min and max)" ] }, { "cell_type": "markdown", "id": "7c1b1f8d-94fe-4401-8e8d-65c26212e18c", "metadata": {}, "source": [ "##### Max" ] }, { "cell_type": "code", "execution_count": 11, "id": "18ed125d-c9c1-4da5-a7e9-96c5dfe02064", "metadata": {}, "outputs": [], "source": [ "# based on the tallest tree height : https://en.wikipedia.org/wiki/Hyperion_(tree)\n", "max_height = 116 # in meters\n", "# based on the biggest tree girth (circumference) : https://www.guinnessworldrecords.com/world-records/living-tree-with-greatest-girth\n", "max_girth = 36 # in meters" ] }, { "cell_type": "code", "execution_count": 12, "id": "efd5e73a-1135-4866-9839-6eebb220c94a", "metadata": {}, "outputs": [], "source": [ "max_height_outlier_df = df[(df['hauteur_m'] > max_height)]\n", "max_girth_outlier_df = df[(df['circonference_cm']/100 > max_girth)]" ] }, { "cell_type": "code", "execution_count": 13, "id": "b74111f5-80d8-44de-94fa-6501835f7db6", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "height outliers trees (87 occurrencies):\n" ] }, { "data": { "text/html": [ "
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idtype_emplacementdomanialitearrondissementcomplement_addressenumerolieuid_emplacementlibelle_francaisgenreespecevarietecirconference_cmhauteur_mstade_developpementremarquablegeo_point_2d_ageo_point_2d_b
5392106800ArbreJardinPARIS 7E ARRDTNaNNaNJARDIN DU CHAMP DE MARSA0120683TilleulTilian. sp.NaN1001510A0.0048.862.30
6473107951ArbreJardinPARIS 7E ARRDTNaNNaNJARDIN DU CHAMP DE MARS / C01 / ALLEE LEON BOU...A00202003PlatanePlatanusx hispanicaNaN112117A0.0048.862.29
12536115062ArbreJardinPARIS 16E ARRDT11 à 27NaNJARDIN DE L AVENUE FOCH / 10 AVENUE FOCH10303ErableAcern. sp.NaN47255J0.0048.872.29
15373118412ArbreJardinPARIS 7E ARRDTNaNNaNSQUARE DE L'ABBE ESQUERRE17PaulowniaPaulowniatomentosaNaN145810A0.0048.852.31
24099128185ArbreJardinPARIS 17E ARRDTNaNNaNSQUARE ANDRE ULMANN27PlatanePlatanusx hispanicaNaN130125A0.0048.892.30
.........................................................
1878732008880ArbreDJSPARIS 13E ARRDTNaNNaNSTADE CHARLETTY / 99 BOULEVARD KELLERMANN91MicocoulierCeltisaustralisNaN10120JA0.0048.822.35
1878742008881ArbreDJSPARIS 13E ARRDTNaNNaNSTADE CHARLETTY / 99 BOULEVARD KELLERMANN92MicocoulierCeltisaustralisNaN10120JA0.0048.822.35
1890532011417ArbreJardinBOIS DE VINCENNESNaNNaNPARC FLORAL DE PARIS / ROUTE DE LA PYRAMIDE180088PinPinusmugoNaN60150JA0.0048.832.44
1894412011863ArbreDFPEPARIS 16E ARRDTNaNNaNERLANGER (9-11) CRECHE48970005MarronnierAesculushippocastanumBaumannii'8157NaN0.0048.852.26
1971362020792ArbreJardinPARIS 14E ARRDTNaNNaNSQUARE AUGUSTE RENOIR / 205 RUE RAYMOND LOSSERAND103005ErableAcerplatanoidesNaN145125A0.0048.832.31
\n", "

87 rows × 18 columns

\n", "
" ], "text/plain": [ " id type_emplacement domanialite arrondissement \\\n", "5392 106800 Arbre Jardin PARIS 7E ARRDT \n", "6473 107951 Arbre Jardin PARIS 7E ARRDT \n", "12536 115062 Arbre Jardin PARIS 16E ARRDT \n", "15373 118412 Arbre Jardin PARIS 7E ARRDT \n", "24099 128185 Arbre Jardin PARIS 17E ARRDT \n", "... ... ... ... ... \n", "187873 2008880 Arbre DJS PARIS 13E ARRDT \n", "187874 2008881 Arbre DJS PARIS 13E ARRDT \n", "189053 2011417 Arbre Jardin BOIS DE VINCENNES \n", "189441 2011863 Arbre DFPE PARIS 16E ARRDT \n", "197136 2020792 Arbre Jardin PARIS 14E ARRDT \n", "\n", " complement_addresse numero \\\n", "5392 NaN NaN \n", "6473 NaN NaN \n", "12536 11 à 27 NaN \n", "15373 NaN NaN \n", "24099 NaN NaN \n", "... ... ... \n", "187873 NaN NaN \n", "187874 NaN NaN \n", "189053 NaN NaN \n", "189441 NaN NaN \n", "197136 NaN NaN \n", "\n", " lieu id_emplacement \\\n", "5392 JARDIN DU CHAMP DE MARS A0120683 \n", "6473 JARDIN DU CHAMP DE MARS / C01 / ALLEE LEON BOU... A00202003 \n", "12536 JARDIN DE L AVENUE FOCH / 10 AVENUE FOCH 10303 \n", "15373 SQUARE DE L'ABBE ESQUERRE 17 \n", "24099 SQUARE ANDRE ULMANN 27 \n", "... ... ... \n", "187873 STADE CHARLETTY / 99 BOULEVARD KELLERMANN 91 \n", "187874 STADE CHARLETTY / 99 BOULEVARD KELLERMANN 92 \n", "189053 PARC FLORAL DE PARIS / ROUTE DE LA PYRAMIDE 180088 \n", "189441 ERLANGER (9-11) CRECHE 48970005 \n", "197136 SQUARE AUGUSTE RENOIR / 205 RUE RAYMOND LOSSERAND 103005 \n", "\n", " libelle_francais genre espece variete \\\n", "5392 Tilleul Tilia n. sp. NaN \n", "6473 Platane Platanus x hispanica NaN \n", "12536 Erable Acer n. sp. NaN \n", "15373 Paulownia Paulownia tomentosa NaN \n", "24099 Platane Platanus x hispanica NaN \n", "... ... ... ... ... \n", "187873 Micocoulier Celtis australis NaN \n", "187874 Micocoulier Celtis australis NaN \n", "189053 Pin Pinus mugo NaN \n", "189441 Marronnier Aesculus hippocastanum Baumannii' \n", "197136 Erable Acer platanoides NaN \n", "\n", " circonference_cm hauteur_m stade_developpement remarquable \\\n", "5392 100 1510 A 0.00 \n", "6473 112 117 A 0.00 \n", "12536 47 255 J 0.00 \n", "15373 145 810 A 0.00 \n", "24099 130 125 A 0.00 \n", "... ... ... ... ... \n", "187873 10 120 JA 0.00 \n", "187874 10 120 JA 0.00 \n", "189053 60 150 JA 0.00 \n", "189441 8 157 NaN 0.00 \n", "197136 145 125 A 0.00 \n", "\n", " geo_point_2d_a geo_point_2d_b \n", "5392 48.86 2.30 \n", "6473 48.86 2.29 \n", "12536 48.87 2.29 \n", "15373 48.85 2.31 \n", "24099 48.89 2.30 \n", "... ... ... \n", "187873 48.82 2.35 \n", "187874 48.82 2.35 \n", "189053 48.83 2.44 \n", "189441 48.85 2.26 \n", "197136 48.83 2.31 \n", "\n", "[87 rows x 18 columns]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "print('height outliers trees ('+ str(len(max_height_outlier_df)) + ' occurrencies):')\n", "max_height_outlier_df\n" ] }, { "cell_type": "code", "execution_count": 14, "id": "fe9ec6bc-7472-4417-8057-c17eff3bed71", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "hauteur_m\n", "120 7\n", "155 5\n", "118 5\n", "125 4\n", "810 4\n", "117 3\n", "205 3\n", "1515 3\n", "150 3\n", "510 2\n", "160 2\n", "610 2\n", "1510 2\n", "1512 1\n", "1511 1\n", "5155 1\n", "618 1\n", "2525 1\n", "714 1\n", "720 1\n", "2015 1\n", "815 1\n", "818 1\n", "1815 1\n", "1010 1\n", "1113 1\n", "1211 1\n", "1216 1\n", "1610 1\n", "1514 1\n", "615 1\n", "260 1\n", "608 1\n", "159 1\n", "122 1\n", "128 1\n", "129 1\n", "130 1\n", "138 1\n", "148 1\n", "154 1\n", "156 1\n", "157 1\n", "170 1\n", "512 1\n", "180 1\n", "190 1\n", "204 1\n", "216 1\n", "218 1\n", "219 1\n", "220 1\n", "255 1\n", "327 1\n", "881818 1\n", "Name: count, dtype: int64" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "max_height_outlier_df.value_counts('hauteur_m')" ] }, { "cell_type": "code", "execution_count": 15, "id": "6df7ba62-4999-4c99-9865-238ca327392d", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "girth outliers trees (20 occurrencies):\n" ] }, { "data": { "text/html": [ "
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idtype_emplacementdomanialitearrondissementcomplement_addressenumerolieuid_emplacementlibelle_francaisgenreespecevarietecirconference_cmhauteur_mstade_developpementremarquablegeo_point_2d_ageo_point_2d_b
71787190080ArbreDASCOPARIS 20E ARRDTNaNNaNPLAINE (9) ELEM B11110006TilleulTiliatomentosaNaN1858915A0.0048.852.40
82951203295ArbreAlignementPARIS 18E ARRDTNaNNaNRUE D AUBERVILLIERS301004ErableAcermonspessulanumNaN554556J0.0048.892.37
90605211362ArbreAlignementPARIS 5E ARRDT34NaNBOULEVARD SAINT MARCEL204025CedreleToonasinensisNaN2013016A0.0048.842.36
91256212024ArbreAlignementPARIS 12E ARRDTNaNNaNRUE DE CHALON202005MicocoulierCeltisaustralisNaN3014010A0.0048.852.37
97354218274ArbreAlignementPARIS 7E ARRDT27NaNAVENUE RAPP501003PlatanePlatanusoccidentalisNaN811018A0.0048.862.30
103437224609ArbreAlignementPARIS 18E ARRDTNaNNaNBOULEVARD BARBES1303003PlatanePlatanusx hispanicaNaN90356J0.0048.892.35
133546256868ArbreAlignementPARIS 19E ARRDTNaNNaNAVENUE JEAN JAURES1501006PlatanePlatanusx hispanicaNaN409010A0.0048.892.39
147235270997ArbreAlignementPARIS 7E ARRDTNaNNaNQUAI BRANLY503005PaulowniaPaulowniatomentosaNaN915515A0.0048.862.29
147634271402ArbreAlignementPARIS 7E ARRDTNaNNaNAVENUE BOSQUET1202016PlatanePlatanusoccidentalisNaN6511016A0.0048.862.31
148106271884ArbreAlignementPARIS 7E ARRDTNaNNaNAVENUE BOSQUET501022PlatanePlatanusoccidentalisNaN659515A0.0048.862.30
148481272263ArbreAlignementPARIS 7E ARRDT14NaNBOULEVARD DES INVALIDES402009PlatanePlatanusoccidentalisNaN612018A0.0048.852.31
149056272885ArbreAlignementPARIS 18E ARRDTNaNNaNPLACE DE LA CHAPELLE101026PlatanePlatanusx hispanicaNaN25025522A0.0048.882.36
151364275451ArbreAlignementPARIS 7E ARRDTNaNNaNESPLANADE DES INVALIDES410005TilleulTiliatomentosaNaN7540815JA0.0048.862.31
152303276396ArbreAlignementPARIS 7E ARRDTNaNNaNESPLANADE DES INVALIDES402011TilleulTiliatomentosaNaN908512A0.0048.862.31
160432284823ArbreAlignementPARIS 18E ARRDTNaNNaNAVENUE DE LA PORTE DE CLIGNANCOURT202005PlatanePlatanusorientalisNaN12017020A0.0048.902.34
163918288407ArbreAlignementPARIS 12E ARRDTNaNNaNBOULEVARD DE PICPUS1604017SophoraSophorajaponicaNaN60855JA0.0048.852.40
164616289121ArbreAlignementPARIS 12E ARRDTNaNNaNRUE FRANCOIS TRUFFAUT301005PlatanePlatanusx hispanicaNaN909510A0.0048.832.39
167606292180ArbreAlignementPARIS 18E ARRDT16NaNRUE JEAN COCTEAU202027Noisetier de ByzanceCoryluscolurnaNaN36305J0.0048.902.35
170367295047ArbreAlignementPARIS 5E ARRDT16NaNRUE POLIVEAU202015PlatanePlatanusx hispanicaNaN612520A0.0048.842.36
173343298211ArbreAlignementPARIS 5E ARRDTNaNNaNBOULEVARD DE PORT ROYAL402001MarronnierAesculusx carneaBriotii'7912010A0.0048.842.35
\n", "
" ], "text/plain": [ " id type_emplacement domanialite arrondissement \\\n", "71787 190080 Arbre DASCO PARIS 20E ARRDT \n", "82951 203295 Arbre Alignement PARIS 18E ARRDT \n", "90605 211362 Arbre Alignement PARIS 5E ARRDT \n", "91256 212024 Arbre Alignement PARIS 12E ARRDT \n", "97354 218274 Arbre Alignement PARIS 7E ARRDT \n", "103437 224609 Arbre Alignement PARIS 18E ARRDT \n", "133546 256868 Arbre Alignement PARIS 19E ARRDT \n", "147235 270997 Arbre Alignement PARIS 7E ARRDT \n", "147634 271402 Arbre Alignement PARIS 7E ARRDT \n", "148106 271884 Arbre Alignement PARIS 7E ARRDT \n", "148481 272263 Arbre Alignement PARIS 7E ARRDT \n", "149056 272885 Arbre Alignement PARIS 18E ARRDT \n", "151364 275451 Arbre Alignement PARIS 7E ARRDT \n", "152303 276396 Arbre Alignement PARIS 7E ARRDT \n", "160432 284823 Arbre Alignement PARIS 18E ARRDT \n", "163918 288407 Arbre Alignement PARIS 12E ARRDT \n", "164616 289121 Arbre Alignement PARIS 12E ARRDT \n", "167606 292180 Arbre Alignement PARIS 18E ARRDT \n", "170367 295047 Arbre Alignement PARIS 5E ARRDT \n", "173343 298211 Arbre Alignement PARIS 5E ARRDT \n", "\n", " complement_addresse numero lieu \\\n", "71787 NaN NaN PLAINE (9) ELEM B \n", "82951 NaN NaN RUE D AUBERVILLIERS \n", "90605 34 NaN BOULEVARD SAINT MARCEL \n", "91256 NaN NaN RUE DE CHALON \n", "97354 27 NaN AVENUE RAPP \n", "103437 NaN NaN BOULEVARD BARBES \n", "133546 NaN NaN AVENUE JEAN JAURES \n", "147235 NaN NaN QUAI BRANLY \n", "147634 NaN NaN AVENUE BOSQUET \n", "148106 NaN NaN AVENUE BOSQUET \n", "148481 14 NaN BOULEVARD DES INVALIDES \n", "149056 NaN NaN PLACE DE LA CHAPELLE \n", "151364 NaN NaN ESPLANADE DES INVALIDES \n", "152303 NaN NaN ESPLANADE DES INVALIDES \n", "160432 NaN NaN AVENUE DE LA PORTE DE CLIGNANCOURT \n", "163918 NaN NaN BOULEVARD DE PICPUS \n", "164616 NaN NaN RUE FRANCOIS TRUFFAUT \n", "167606 16 NaN RUE JEAN COCTEAU \n", "170367 16 NaN RUE POLIVEAU \n", "173343 NaN NaN BOULEVARD DE PORT ROYAL \n", "\n", " id_emplacement libelle_francais genre espece \\\n", "71787 11110006 Tilleul Tilia tomentosa \n", "82951 301004 Erable Acer monspessulanum \n", "90605 204025 Cedrele Toona sinensis \n", "91256 202005 Micocoulier Celtis australis \n", "97354 501003 Platane Platanus occidentalis \n", "103437 1303003 Platane Platanus x hispanica \n", "133546 1501006 Platane Platanus x hispanica \n", "147235 503005 Paulownia Paulownia tomentosa \n", "147634 1202016 Platane Platanus occidentalis \n", "148106 501022 Platane Platanus occidentalis \n", "148481 402009 Platane Platanus occidentalis \n", "149056 101026 Platane Platanus x hispanica \n", "151364 410005 Tilleul Tilia tomentosa \n", "152303 402011 Tilleul Tilia tomentosa \n", "160432 202005 Platane Platanus orientalis \n", "163918 1604017 Sophora Sophora japonica \n", "164616 301005 Platane Platanus x hispanica \n", "167606 202027 Noisetier de Byzance Corylus colurna \n", "170367 202015 Platane Platanus x hispanica \n", "173343 402001 Marronnier Aesculus x carnea \n", "\n", " variete circonference_cm hauteur_m stade_developpement \\\n", "71787 NaN 18589 15 A \n", "82951 NaN 5545 56 J \n", "90605 NaN 20130 16 A \n", "91256 NaN 30140 10 A \n", "97354 NaN 8110 18 A \n", "103437 NaN 9035 6 J \n", "133546 NaN 4090 10 A \n", "147235 NaN 9155 15 A \n", "147634 NaN 65110 16 A \n", "148106 NaN 6595 15 A \n", "148481 NaN 6120 18 A \n", "149056 NaN 250255 22 A \n", "151364 NaN 7540 815 JA \n", "152303 NaN 9085 12 A \n", "160432 NaN 120170 20 A \n", "163918 NaN 6085 5 JA \n", "164616 NaN 9095 10 A \n", "167606 NaN 3630 5 J \n", "170367 NaN 6125 20 A \n", "173343 Briotii' 79120 10 A \n", "\n", " remarquable geo_point_2d_a geo_point_2d_b \n", "71787 0.00 48.85 2.40 \n", "82951 0.00 48.89 2.37 \n", "90605 0.00 48.84 2.36 \n", "91256 0.00 48.85 2.37 \n", "97354 0.00 48.86 2.30 \n", "103437 0.00 48.89 2.35 \n", "133546 0.00 48.89 2.39 \n", "147235 0.00 48.86 2.29 \n", "147634 0.00 48.86 2.31 \n", "148106 0.00 48.86 2.30 \n", "148481 0.00 48.85 2.31 \n", "149056 0.00 48.88 2.36 \n", "151364 0.00 48.86 2.31 \n", "152303 0.00 48.86 2.31 \n", "160432 0.00 48.90 2.34 \n", "163918 0.00 48.85 2.40 \n", "164616 0.00 48.83 2.39 \n", "167606 0.00 48.90 2.35 \n", "170367 0.00 48.84 2.36 \n", "173343 0.00 48.84 2.35 " ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "print('girth outliers trees ('+ str(len(max_girth_outlier_df)) + ' occurrencies):')\n", "max_girth_outlier_df" ] }, { "cell_type": "code", "execution_count": 16, "id": "a7a5453d-787f-4c73-a3c2-e3f68b7c2b88", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "circonference_cm\n", "3630 1\n", "4090 1\n", "120170 1\n", "79120 1\n", "65110 1\n", "30140 1\n", "20130 1\n", "18589 1\n", "9155 1\n", "9095 1\n", "9085 1\n", "9035 1\n", "8110 1\n", "7540 1\n", "6595 1\n", "6125 1\n", "6120 1\n", "6085 1\n", "5545 1\n", "250255 1\n", "Name: count, dtype: int64" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "max_girth_outlier_df.value_counts('circonference_cm')" ] }, { "cell_type": "markdown", "id": "13039a0e-5f50-4290-9d97-03cab5a6f6b7", "metadata": {}, "source": [ "##### Min" ] }, { "cell_type": "code", "execution_count": 17, "id": "2311d22a-a4fe-4491-9f34-adee3bcbb5a7", "metadata": {}, "outputs": [], "source": [ "# based on the tallest tree height : https://en.wikipedia.org/wiki/Hyperion_(tree)\n", "min_height = 0 # in meters\n", "# based on the biggest tree girth (circumference) : https://www.guinnessworldrecords.com/world-records/living-tree-with-greatest-girth\n", "min_girth = 0 # in meters" ] }, { "cell_type": "code", "execution_count": 18, "id": "4fb1b6d3-73b7-4eba-aa10-8387bd595787", "metadata": {}, "outputs": [], "source": [ "min_height_outlier_df = df[(df['hauteur_m'] <= min_height)]\n", "min_girth_outlier_df = df[(df['circonference_cm']/100 <= min_girth)]" ] }, { "cell_type": "code", "execution_count": 19, "id": "49a05f31-e8a2-4a0a-bcca-5c7b9b73b9f8", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "height outliers trees (39219 occurrencies):\n" ] }, { "data": { "text/html": [ "
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idtype_emplacementdomanialitearrondissementcomplement_addressenumerolieuid_emplacementlibelle_francaisgenreespecevarietecirconference_cmhauteur_mstade_developpementremarquablegeo_point_2d_ageo_point_2d_b
499878ArbreJardinPARIS 17E ARRDTNaNNaNPARC CLICHY-BATIGNOLLES-MARTIN LUTHER KING000G0037Arbre à mielTetradiumdanielliiNaN380NaNNaN48.892.32
599879ArbreJardinPARIS 17E ARRDTNaNNaNPARC CLICHY-BATIGNOLLES-MARTIN LUTHER KING000G0036Arbre à mielTetradiumdanielliiNaN380NaNNaN48.892.32
699880ArbreJardinPARIS 17E ARRDTNaNNaNPARC CLICHY-BATIGNOLLES-MARTIN LUTHER KING000G0035Arbre à mielTetradiumdanielliiNaN370NaNNaN48.892.32
1199885ArbreJardinPARIS 16E ARRDTNaNNaNJARDIN DU RANELAGH20001HêtreFagussylvaticaAtropunicea'300NaNNaN48.862.27
1299887ArbreJardinPARIS 16E ARRDTNaNNaNJARDIN DU RANELAGH20003MicocoulierCeltisoccidentalisNaN2050NaNNaN48.862.27
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2001322024741ArbreJardinBOIS DE VINCENNESNaNNaNARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F...720170151NaNCastaneafargesiiNaN00NaN0.0048.822.46
2001332024742ArbreJardinBOIS DE VINCENNESNaNNaNARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F...720170152Arbre aux mouchoirsDavidiainvolucrataNaN00NaN0.0048.822.46
2001342024743ArbreJardinBOIS DE VINCENNESNaNNaNARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F...720170153PeuplierPopulussimoniiNaN00NaN0.0048.822.46
2001352024744ArbreJardinBOIS DE VINCENNESNaNNaNARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F...720170154ChêneQuercusn. sp.NaN00NaN0.0048.822.46
2001362024745ArbreJardinBOIS DE VINCENNESNaNNaNARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F...720170155RaisinierHoveniadulcisNaN00NaN0.0048.822.45
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39219 rows × 18 columns

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" ], "text/plain": [ " id type_emplacement domanialite arrondissement \\\n", "4 99878 Arbre Jardin PARIS 17E ARRDT \n", "5 99879 Arbre Jardin PARIS 17E ARRDT \n", "6 99880 Arbre Jardin PARIS 17E ARRDT \n", "11 99885 Arbre Jardin PARIS 16E ARRDT \n", "12 99887 Arbre Jardin PARIS 16E ARRDT \n", "... ... ... ... ... \n", "200132 2024741 Arbre Jardin BOIS DE VINCENNES \n", "200133 2024742 Arbre Jardin BOIS DE VINCENNES \n", "200134 2024743 Arbre Jardin BOIS DE VINCENNES \n", "200135 2024744 Arbre Jardin BOIS DE VINCENNES \n", "200136 2024745 Arbre Jardin BOIS DE VINCENNES \n", "\n", " complement_addresse numero \\\n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "11 NaN NaN \n", "12 NaN NaN \n", "... ... ... \n", "200132 NaN NaN \n", "200133 NaN NaN \n", "200134 NaN NaN \n", "200135 NaN NaN \n", "200136 NaN NaN \n", "\n", " lieu id_emplacement \\\n", "4 PARC CLICHY-BATIGNOLLES-MARTIN LUTHER KING 000G0037 \n", "5 PARC CLICHY-BATIGNOLLES-MARTIN LUTHER KING 000G0036 \n", "6 PARC CLICHY-BATIGNOLLES-MARTIN LUTHER KING 000G0035 \n", "11 JARDIN DU RANELAGH 20001 \n", "12 JARDIN DU RANELAGH 20003 \n", "... ... ... \n", "200132 ARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F... 720170151 \n", "200133 ARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F... 720170152 \n", "200134 ARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F... 720170153 \n", "200135 ARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F... 720170154 \n", "200136 ARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F... 720170155 \n", "\n", " libelle_francais genre espece variete \\\n", "4 Arbre à miel Tetradium daniellii NaN \n", "5 Arbre à miel Tetradium daniellii NaN \n", "6 Arbre à miel Tetradium daniellii NaN \n", "11 Hêtre Fagus sylvatica Atropunicea' \n", "12 Micocoulier Celtis occidentalis NaN \n", "... ... ... ... ... \n", "200132 NaN Castanea fargesii NaN \n", "200133 Arbre aux mouchoirs Davidia involucrata NaN \n", "200134 Peuplier Populus simonii NaN \n", "200135 Chêne Quercus n. sp. NaN \n", "200136 Raisinier Hovenia dulcis NaN \n", "\n", " circonference_cm hauteur_m stade_developpement remarquable \\\n", "4 38 0 NaN NaN \n", "5 38 0 NaN NaN \n", "6 37 0 NaN NaN \n", "11 30 0 NaN NaN \n", "12 205 0 NaN NaN \n", "... ... ... ... ... \n", "200132 0 0 NaN 0.00 \n", "200133 0 0 NaN 0.00 \n", "200134 0 0 NaN 0.00 \n", "200135 0 0 NaN 0.00 \n", "200136 0 0 NaN 0.00 \n", "\n", " geo_point_2d_a geo_point_2d_b \n", "4 48.89 2.32 \n", "5 48.89 2.32 \n", "6 48.89 2.32 \n", "11 48.86 2.27 \n", "12 48.86 2.27 \n", "... ... ... \n", "200132 48.82 2.46 \n", "200133 48.82 2.46 \n", "200134 48.82 2.46 \n", "200135 48.82 2.46 \n", "200136 48.82 2.45 \n", "\n", "[39219 rows x 18 columns]" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "print('height outliers trees ('+ str(len(min_height_outlier_df)) + ' occurrencies):')\n", "min_height_outlier_df\n" ] }, { "cell_type": "code", "execution_count": 20, "id": "9a4fb975-84f7-4208-b39a-064165198817", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "hauteur_m\n", "0 39219\n", "Name: count, dtype: int64" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "min_height_outlier_df.value_counts('hauteur_m')" ] }, { "cell_type": "code", "execution_count": 21, "id": "72b337f1-ca1b-4c96-98bd-0a5a48840734", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "girth outliers trees (20 occurrencies):\n" ] }, { "data": { "text/html": [ "
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1778101922ArbreJardinPARIS 19E ARRDTNaNNaNPARC DES BUTTES CHAUMONTC0400032ErableAcerplatanoidesNaN00NaNNaN48.882.38
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2333102592ArbreJardinPARIS 17E ARRDTNaNNaNPARC CLICHY-BATIGNOLLES-MARTIN LUTHER KING000B0053MagnoliaMagnoliax soulangeanaHeaven Scent'00NaNNaN48.892.32
2405102744ArbreJardinPARIS 20E ARRDTNaNNaNSQUARE LEON FRAPIE2PlatanePlatanusx hispanicaNaN00JA0.0048.872.41
2430102773ArbreJardinPARIS 17E ARRDTNaNNaNPARC CLICHY-BATIGNOLLES-MARTIN LUTHER KING000B0021MagnoliaMagnoliax soulangeanaSundew'00NaNNaN48.892.32
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2001322024741ArbreJardinBOIS DE VINCENNESNaNNaNARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F...720170151NaNCastaneafargesiiNaN00NaN0.0048.822.46
2001332024742ArbreJardinBOIS DE VINCENNESNaNNaNARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F...720170152Arbre aux mouchoirsDavidiainvolucrataNaN00NaN0.0048.822.46
2001342024743ArbreJardinBOIS DE VINCENNESNaNNaNARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F...720170153PeuplierPopulussimoniiNaN00NaN0.0048.822.46
2001352024744ArbreJardinBOIS DE VINCENNESNaNNaNARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F...720170154ChêneQuercusn. sp.NaN00NaN0.0048.822.46
2001362024745ArbreJardinBOIS DE VINCENNESNaNNaNARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F...720170155RaisinierHoveniadulcisNaN00NaN0.0048.822.45
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25867 rows × 18 columns

\n", "
" ], "text/plain": [ " id type_emplacement domanialite arrondissement \\\n", "1778 101922 Arbre Jardin PARIS 19E ARRDT \n", "2332 102591 Arbre Jardin PARIS 17E ARRDT \n", "2333 102592 Arbre Jardin PARIS 17E ARRDT \n", "2405 102744 Arbre Jardin PARIS 20E ARRDT \n", "2430 102773 Arbre Jardin PARIS 17E ARRDT \n", "... ... ... ... ... \n", "200132 2024741 Arbre Jardin BOIS DE VINCENNES \n", "200133 2024742 Arbre Jardin BOIS DE VINCENNES \n", "200134 2024743 Arbre Jardin BOIS DE VINCENNES \n", "200135 2024744 Arbre Jardin BOIS DE VINCENNES \n", "200136 2024745 Arbre Jardin BOIS DE VINCENNES \n", "\n", " complement_addresse numero \\\n", "1778 NaN NaN \n", "2332 NaN NaN \n", "2333 NaN NaN \n", "2405 NaN NaN \n", "2430 NaN NaN \n", "... ... ... \n", "200132 NaN NaN \n", "200133 NaN NaN \n", "200134 NaN NaN \n", "200135 NaN NaN \n", "200136 NaN NaN \n", "\n", " lieu id_emplacement \\\n", "1778 PARC DES BUTTES CHAUMONT C0400032 \n", "2332 PARC CLICHY-BATIGNOLLES-MARTIN LUTHER KING 000B0052 \n", "2333 PARC CLICHY-BATIGNOLLES-MARTIN LUTHER KING 000B0053 \n", "2405 SQUARE LEON FRAPIE 2 \n", "2430 PARC CLICHY-BATIGNOLLES-MARTIN LUTHER KING 000B0021 \n", "... ... ... \n", "200132 ARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F... 720170151 \n", "200133 ARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F... 720170152 \n", "200134 ARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F... 720170153 \n", "200135 ARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F... 720170154 \n", "200136 ARBORETUM DE L ECOLE DU BREUIL - ROUTE DE LA F... 720170155 \n", "\n", " libelle_francais genre espece variete \\\n", "1778 Erable Acer platanoides NaN \n", "2332 Magnolia Magnolia x soulangeana Heaven Scent' \n", "2333 Magnolia Magnolia x soulangeana Heaven Scent' \n", "2405 Platane Platanus x hispanica NaN \n", "2430 Magnolia Magnolia x soulangeana Sundew' \n", "... ... ... ... ... \n", "200132 NaN Castanea fargesii NaN \n", "200133 Arbre aux mouchoirs Davidia involucrata NaN \n", "200134 Peuplier Populus simonii NaN \n", "200135 Chêne Quercus n. sp. NaN \n", "200136 Raisinier Hovenia dulcis NaN \n", "\n", " circonference_cm hauteur_m stade_developpement remarquable \\\n", "1778 0 0 NaN NaN \n", "2332 0 0 NaN NaN \n", "2333 0 0 NaN NaN \n", "2405 0 0 JA 0.00 \n", "2430 0 0 NaN NaN \n", "... ... ... ... ... \n", "200132 0 0 NaN 0.00 \n", "200133 0 0 NaN 0.00 \n", "200134 0 0 NaN 0.00 \n", "200135 0 0 NaN 0.00 \n", "200136 0 0 NaN 0.00 \n", "\n", " geo_point_2d_a geo_point_2d_b \n", "1778 48.88 2.38 \n", "2332 48.89 2.32 \n", "2333 48.89 2.32 \n", "2405 48.87 2.41 \n", "2430 48.89 2.32 \n", "... ... ... \n", "200132 48.82 2.46 \n", "200133 48.82 2.46 \n", "200134 48.82 2.46 \n", "200135 48.82 2.46 \n", "200136 48.82 2.45 \n", "\n", "[25867 rows x 18 columns]" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "print('girth outliers trees ('+ str(len(max_girth_outlier_df)) + ' occurrencies):')\n", "min_girth_outlier_df" ] }, { "cell_type": "code", "execution_count": 22, "id": "3423a9fd-c866-43d1-beb3-e8fa267fa0ba", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "circonference_cm\n", "0 25867\n", "Name: count, dtype: int64" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "min_girth_outlier_df.value_counts('circonference_cm')" ] }, { "cell_type": "markdown", "id": "5eda7ac1-2c90-4079-95e7-c5477eb15fdd", "metadata": {}, "source": [ "# 3) Detailed univariate analysis of each variable" ] }, { "cell_type": "code", "execution_count": 23, "id": "2f484a14-cff5-4a3e-8efd-82b29fbdbb5a", "metadata": {}, "outputs": [], "source": [ "# def variable_univariate_analysis(df, variable_name, variable_type, variable_title_type=None):\n", "# import numpy as np\n", "# import seaborn as sns\n", "# import matplotlib.pyplot as plt\n", "\n", "# if variable_title_type == None:\n", "# variable_title_type = variable_type\n", " \n", "# # variable_type can four types\n", "# variable_types = ['qualitative_nominal','qualitative_ordinal','quantitative_discrete','quantitative_continuous']\n", "# variable_type = str.lower(variable_type)\n", "# if variable_type not in variable_types:\n", "# print('Error : wrong variable_type')\n", "# else:\n", "# # bars but can also be pie\n", "# if variable_type=='qualitative_nominal':\n", "# value_counts = df[variable_name].value_counts(normalize=True)\n", "# max_values = 26\n", "# if len(value_counts) >= 26:\n", "# top_values = value_counts[0:max_values]\n", "# others = value_counts[max_values:].sum()\n", "# if variable_title_type == variable_type:\n", "# others_label = 'others'\n", "# else:\n", "# others_label = '> ' + str(max_values)\n", "# top_values[others_label] = others\n", "# value_counts = top_values\n", "# value_counts.plot(kind='bar')\n", "# elif variable_type == 'qualitative_ordinal': \n", "# df.sort_values(by=variable_name, ascending=True, inplace=True)\n", "# variable_univariate_analysis(df, variable_name, 'qualitative_nominal', variable_type)\n", "# pass\n", "# elif variable_type == 'quantitative_discrete':\n", "# df.sort_values(by=variable_name, ascending=True, inplace=True)\n", "# value_counts = df[variable_name].value_counts(normalize=True)\n", "# value_counts.plot(kind='bar')\n", "# pass\n", "# elif variable_type == 'quantitative_continuous':\n", "# sns.histplot(df[variable_name][df[variable_name] <= df[variable].quantile(0.99)], stat='frequency', kde=True)\n", "# pass\n", "\n", "# if variable_type != 'qualitative_ordinal':\n", "# plt.title(variable_name + ' ( ' + variable_title_type + ' )')\n", "# plt.show()" ] }, { "cell_type": "code", "execution_count": 24, "id": "5ece6f3a-a152-4a3e-8df5-b6fa0e6c6330", "metadata": {}, "outputs": [], "source": [ "# import numpy as np\n", "# import seaborn as sns\n", "# import matplotlib.pyplot as plt\n", "# import pandas as pd\n", "\n", "# def plot_variable_distribution(df: pd.DataFrame, variable_name: str, variable_type: str, variable_title_type: str = None) -> None:\n", "# \"\"\"\n", "# Plots the distribution of a variable based on its type.\n", "\n", "# Args:\n", "# df (pd.DataFrame): The DataFrame containing the data.\n", "# variable_name (str): The name of the variable to plot.\n", "# variable_type (str): The type of the variable (e.g., 'qualitative_nominal', 'qualitative_ordinal', \n", "# 'quantitative_discrete', 'quantitative_continuous').\n", "# variable_title_type (str, optional): An optional title type for the variable. Defaults to None.\n", "\n", "# Raises:\n", "# ValueError: If the variable_type is not recognized.\n", "# \"\"\"\n", "# if variable_title_type is None:\n", "# variable_title_type = variable_type\n", "\n", "# variable_types = ['qualitative_nominal', 'qualitative_ordinal', 'quantitative_discrete', 'quantitative_continuous']\n", "# variable_type = variable_type.lower()\n", "\n", "# if variable_type not in variable_types:\n", "# raise ValueError('Error: wrong variable_type')\n", "\n", "# if variable_type == 'qualitative_nominal':\n", "# value_counts = df[variable_name].value_counts(normalize=True)\n", "# max_values = 26\n", "# if len(value_counts) >= max_values:\n", "# top_values = value_counts.head(max_values)\n", "# others = value_counts.iloc[max_values:].sum()\n", "# others_label = 'others' if variable_title_type == variable_type else f'> {max_values}'\n", "# top_values[others_label] = others\n", "# value_counts = top_values\n", "# value_counts.plot(kind='bar')\n", "\n", "# elif variable_type == 'qualitative_ordinal':\n", "# df.sort_values(by=variable_name, ascending=True, inplace=True)\n", "# plot_variable_distribution(df, variable_name, 'qualitative_nominal', variable_type)\n", "\n", "# elif variable_type == 'quantitative_discrete':\n", "# df.sort_values(by=variable_name, ascending=True, inplace=True)\n", "# value_counts = df[variable_name].value_counts(normalize=True)\n", "# value_counts.plot(kind='bar')\n", "\n", "# elif variable_type == 'quantitative_continuous':\n", "# sns.histplot(df[variable_name][df[variable_name] <= df[variable_name].quantile(0.99)], stat='frequency', kde=True)\n", "\n", "# if variable_type != 'qualitative_ordinal':\n", "# plt.title(f\"{variable_name} ({variable_title_type})\")\n", "# plt.show()" ] }, { "cell_type": "code", "execution_count": 106, "id": "a2a44234-f541-403e-9ccf-efd7c4e98601", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import folium\n", "from folium.plugins import MarkerCluster\n", "import branca\n", "from IPython.display import display\n", "from scipy.spatial import cKDTree\n", "from geopy.distance import geodesic\n", "\n", "\n", "def plot_variable_distribution(\n", " df: pd.DataFrame, \n", " variable_name: str, \n", " graph_type: str, \n", " variable_title_type: str = None,\n", ") -> None:\n", " \"\"\"\n", " Plots the distribution of a specified variable in a DataFrame based on the graph type.\n", "\n", " Args:\n", " df (pd.DataFrame): The DataFrame containing the data.\n", " variable_name (str): The name of the variable to plot.\n", " graph_type (str): The type of graph to plot (e.g., 'pie', 'heat_map', 'bars', 'hist', 'bars_log').\n", " variable_title_type (str, optional): An optional title type for the variable. Defaults to None.\n", "\n", " Raises:\n", " ValueError: If the graph_type is not recognized or if latitude/longitude columns are missing.\n", " \"\"\"\n", " if variable_title_type is None:\n", " variable_title_type = graph_type\n", "\n", " graph_types = ['pie', 'heat_map', 'bars', 'hist', 'bars_log', 'boxplot']\n", " graph_type = graph_type.lower()\n", "\n", " if graph_type not in graph_types:\n", " raise ValueError('Error: wrong graph_type')\n", "\n", " if graph_type == 'pie':\n", " value_counts = df[variable_name].value_counts(normalize=True)\n", " value_counts_percent = value_counts * 100 # Convert to percentage\n", "\n", " # Group classes with less than 2% into \"Others\"\n", " others_count = value_counts_percent[value_counts_percent < 2]\n", " if not others_count.empty:\n", " others_label = f\"Others ({', '.join(others_count.index)})\"\n", " value_counts = value_counts_percent[value_counts_percent >= 2]\n", " value_counts[others_label] = others_count.sum() # Add the \"Others\" category\n", "\n", " plt.pie(\n", " value_counts, \n", " labels=[f\"{label} ({count:.1f}%)\" for label, count in zip(value_counts.index, value_counts.values)],\n", " autopct='%1.1f%%'\n", " )\n", " plt.title(f\"{variable_name} Distribution\")\n", "\n", " elif graph_type == 'heat_map':\n", " # Check if the DataFrame contains the necessary geographic columns\n", " if 'geo_point_2d_a' in df.columns and 'geo_point_2d_b' in df.columns and variable_name in df.columns:\n", " # Group by the variable of interest (e.g., 'city', 'region') and count the occurrences in each sector\n", " sector_data = df.groupby([variable_name]).agg({\n", " 'geo_point_2d_a': 'mean',\n", " 'geo_point_2d_b': 'mean',\n", " }).reset_index()\n", " \n", " # Add a \"population density\" column based on the number of occurrences of the variable in each sector\n", " sector_data['counts'] = df.groupby(variable_name).size().values\n", "\n", " # Calculate the occurrence percentages\n", " total_counts = sector_data['counts'].sum()\n", " sector_data['percentage'] = (sector_data['counts'] / total_counts) * 100\n", "\n", " # Common zoom level used for city-level maps in Folium (and Leaflet)\n", " zoom_level = 12\n", " # Create a map centered around the average geographic points\n", " m = folium.Map(location=[sector_data['geo_point_2d_a'].mean(), sector_data['geo_point_2d_b'].mean()], zoom_start=zoom_level)\n", " \n", " # Normalize population densities for the heat map\n", " min_density = sector_data['counts'].min()\n", " max_density = sector_data['counts'].max()\n", " \n", " # Create the colormap with branca\n", " colormap = branca.colormap.LinearColormap(\n", " colors=['yellow', 'orange', 'red'], # Choose a classic heatmap palette (yellow-orange-red)\n", " vmin=min_density, vmax=max_density\n", " ).to_step(10) # Divide the colormap into 10 steps for the legend\n", "\n", " # Extract coordinates of the sectors\n", " coords = sector_data[['geo_point_2d_a', 'geo_point_2d_b']].values\n", " tree = cKDTree(coords) # Create the k-d tree with the coordinates\n", "\n", " # Initialize the minimum distance to a very large number\n", " min_distance = float('inf')\n", " closest_pair = None\n", "\n", " # Find the closest pairs\n", " for i, point in enumerate(coords):\n", " # Find the closest neighbor from point i (excluding the point itself)\n", " distances, indices = tree.query(point, k=2) # k=2 to get the closest neighbor and itself\n", " \n", " # The second closest will be the nearest (the first is the point itself)\n", " closest_distance = distances[1]\n", " closest_index = indices[1]\n", " \n", " # If the found distance is smaller, update the minimum distance and associated points\n", " if closest_distance < min_distance:\n", " min_distance = closest_distance\n", " closest_pair = (point, coords[closest_index])\n", "\n", " # Convert the minimum Euclidean distance to geodesic distance for more accuracy\n", " min_distance = geodesic(closest_pair[0], closest_pair[1]).meters\n", "\n", " # Limit the circle size to half the smallest distance between two points\n", " max_circle_radius = min_distance / 2\n", " \n", " # Average Earth radius in meters\n", " EARTH_RADIUS = 6371000\n", " \n", " # Calculate the size of a pixel in meters (at the given average latitude)\n", " lat_rad = np.radians(np.mean(sector_data['geo_point_2d_b']))\n", " meters_per_pixel = (2 * np.pi * EARTH_RADIUS) / (256 * (2 ** zoom_level)) * np.cos(lat_rad)\n", " \n", " max_circle_radius_in_pixels = max_circle_radius / meters_per_pixel\n", " \n", " # Add each sector as a colored circle based on population density\n", " for _, row in sector_data.iterrows():\n", " color = colormap(row['counts']) # Use the colormap to get the color based on density\n", " \n", " # Calculate the size of the marker based on density\n", " # size = np.log(row['population_density'] + 1) * 5 # Logarithmic for a reasonable scale\n", " # size = max(10, min(size, max_circle_radius)) # Limit the size to max_circle_radius\n", " size = max_circle_radius_in_pixels\n", " \n", " # Add a circle to the map\n", " folium.CircleMarker(\n", " location=[row['geo_point_2d_a'], row['geo_point_2d_b']],\n", " radius=size, # Circle size based on density and minimum distance\n", " color=color,\n", " fill=True,\n", " fill_color=color, # Fill with the same color\n", " fill_opacity=0.7,\n", " popup=f\"{variable_name}: {row[variable_name]}
Trees: {row['counts']}
Percentage: {row['percentage']:.3}%\",\n", " # Allow the size to adjust based on zoom level\n", " zoom_on_click=True\n", " ).add_to(m)\n", "\n", " # Add the colormap legend to the map\n", " colormap.caption = f\"Trees per {variable_name}\"\n", " colormap.add_to(m)\n", " \n", " # Force the legend to the bottom left corner using CSS style\n", " m.get_root().html.add_child(folium.Element(\"\"\"\n", " \n", " \"\"\"))\n", " \n", " # Display the map\n", " display(m)\n", " m.save(f'./map_{variable_name}.html')\n", " return # End the function\n", " \n", " else:\n", " raise ValueError(\"The DataFrame must contain 'geo_point_2d_a', 'geo_point_2d_b', and the sector variable to display a map.\")\n", "\n", " elif graph_type in ['bars', 'bars_log']:\n", " value_counts = df[variable_name].value_counts()\n", "\n", " # Group smaller classes into \"others\" if there are more than 26\n", " if len(value_counts) > 26:\n", " top_categories = value_counts[:25]\n", " others_count = value_counts[25:].sum()\n", " value_counts = pd.concat([top_categories, pd.Series({'others': others_count})])\n", "\n", " total = value_counts.sum()\n", " plt.figure(figsize=(10, 6))\n", " ax = sns.barplot(x=value_counts.index, y=value_counts.values)\n", " plt.title(f\"{variable_name} Distribution\")\n", " \n", " # Add percentages inside the bars\n", " for p, percentage in zip(ax.patches, value_counts / total * 100):\n", " rotation = 90 if len(value_counts) > 10 else 0\n", " ax.annotate(\n", " f\"{percentage:.1f}%\",\n", " (p.get_x() + p.get_width() * 0.50, p.get_height() * 0.90),\n", " ha='center', va='center', fontsize=10, rotation=rotation, color='black'\n", " )\n", " \n", " plt.xlabel(variable_name)\n", " plt.ylabel('Count')\n", " if graph_type == 'bars_log':\n", " plt.yscale('log')\n", " plt.xticks(rotation=90 if len(value_counts) > 10 else 0) # Rotate labels if too many\n", " plt.show()\n", "\n", " elif graph_type == 'hist':\n", " plt.figure(figsize=(10, 6))\n", " sns.histplot(df[variable_name][df[variable_name] <= df[variable].quantile(0.99)], kde=True)\n", " # sns.histplot(df[variable_name], kde=True, color='blue', bins=15)\n", " plt.title(f\"{variable_name} Distribution\")\n", " plt.xlabel(variable_name)\n", " plt.ylabel('Count')\n", " plt.show()\n", "\n", " elif graph_type == \"boxplot\":\n", " sns.boxplot(y=df[variable_name][df[variable_name] <= df[variable].quantile(0.99)])\n", " plt.title(f\"{variable_name} Distribution (Boxplot)\")\n", " plt.ylabel(variable_name)\n", " plt.show()\n", " \n" ] }, { "cell_type": "code", "execution_count": 29, "id": "0c375743-614a-4e49-a070-b717bfb64816", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['id', 'type_emplacement', 'domanialite', 'arrondissement',\n", " 'complement_addresse', 'numero', 'lieu', 'id_emplacement',\n", " 'libelle_francais', 'genre', 'espece', 'variete', 'circonference_cm',\n", " 'hauteur_m', 'stade_developpement', 'remarquable', 'geo_point_2d_a',\n", " 'geo_point_2d_b'],\n", " dtype='object')" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.columns" ] }, { "cell_type": "code", "execution_count": 30, "id": "d3c85f01-5b87-4d42-b5e2-279001e61636", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "id_emplacement\n", "101001 1324\n", "101002 1241\n", "101003 1128\n", "202001 1032\n", "101004 1020\n", " ... \n", "80269 1\n", "80270 1\n", "80271 1\n", "80272 1\n", "Q9630006 1\n", "Name: count, Length: 69040, dtype: int64" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['id_emplacement'].unique()\n", "df.value_counts('id_emplacement')" ] }, { "cell_type": "code", "execution_count": 31, "id": "03af6a47-2f57-4a6f-9fd2-86bcee87382d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "lieu\n", "PARC FLORAL DE PARIS / ROUTE DE LA PYRAMIDE 2995\n", "PARC DES BUTTES CHAUMONT 2331\n", "PARC ANDRE CITROEN 2095\n", "PARC OMNISPORT SUZANNE LENGLEN / 7 BOULEVARD DES FRERES VOISIN 1478\n", "INSEP / AVENUE DU TREMBLAY 1293\n", " ... \n", "CIMETIERE DU PERE LACHAISE / AVENUE DES THUYAS / DIV 80 1\n", "CIMETIERE DE SAINT-OUEN ANCIEN / DIV 10 1\n", "CIMETIERE DE SAINT-OUEN ANCIEN / DIV 4 1\n", "CARREFOUR ODEON 1\n", "POMMARD (33) MAT 1\n", "Name: count, Length: 6921, dtype: int64" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.value_counts('lieu')" ] }, { "cell_type": "code", "execution_count": 32, "id": "6175c0da-56c6-493d-b449-3ea13768dadb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['id', 'type_emplacement', 'domanialite', 'arrondissement',\n", " 'complement_addresse', 'numero', 'lieu', 'id_emplacement',\n", " 'libelle_francais', 'genre', 'espece', 'variete', 'circonference_cm',\n", " 'hauteur_m', 'stade_developpement', 'remarquable', 'geo_point_2d_a',\n", " 'geo_point_2d_b'],\n", " dtype='object')" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.columns" ] }, { "cell_type": "code", "execution_count": 33, "id": "e9dc120e-cae3-4fb6-adff-9b172c920c40", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "variete\n", "Baumannii' 4538\n", "Briotii' 2827\n", "Euchlora' 2756\n", "Chanticleer' 2595\n", "Fastigiata' 2483\n", " ... \n", "Précoce de Saumur' 1\n", "Profusion' 1\n", "Porlock' 1\n", "Hilsop' 1\n", "Neapolitanum' 1\n", "Name: count, Length: 436, dtype: int64" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.value_counts('variete')" ] }, { "cell_type": "code", "execution_count": 34, "id": "bdd9f57e-6010-4351-91f9-d81813b09fe9", "metadata": {}, "outputs": [], "source": [ "# interesting_variables = {'domanialite':'qualitative_nominal','arrondissement':'qualitative_nominal',\n", "# 'lieu':'qualitative_nominal', 'libelle_francais':'qualitative_nominal',\n", "# 'genre':'qualitative_nominal', 'espece':'qualitative_nominal',\n", "# 'variete':'qualitative_nominal','circonference_cm':'quantitative_continuous',\n", "# 'hauteur_m':'quantitative_continuous','stade_developpement':'qualitative_ordinal',\n", "# 'remarquable':'qualitative_ordinal'}" ] }, { "cell_type": "code", "execution_count": 35, "id": "219c74f9-ffb8-468f-a694-4b78b752bbf2", "metadata": {}, "outputs": [], "source": [ "interesting_variables = {'domanialite':'pie','arrondissement':'heat_map',\n", " 'lieu':'heat_map', 'libelle_francais':'bars',\n", " 'genre':'bars', 'espece':'bars',\n", " 'variete':'bars','circonference_cm':'hist',\n", " 'hauteur_m':'hist','stade_developpement':'pie',\n", " 'remarquable':'bars_log'}" ] }, { "cell_type": "code", "execution_count": 83, "id": "c1d63cdf-8e99-4f05-87cf-f3a06b0af3dc", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
Make this Notebook Trusted to load map: File -> Trust Notebook
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Make this Notebook Trusted to load map: File -> Trust Notebook
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", 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", 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", 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", 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", 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", 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", 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for variable in interesting_variables:\n", " plot_variable_distribution(df, variable, interesting_variables[variable])" ] }, { "cell_type": "code", "execution_count": null, "id": "376202c7-3a23-4d16-bf28-c032e0389c03", "metadata": {}, "outputs": [], "source": [ "interesting_variables" ] }, { "cell_type": "code", "execution_count": null, "id": "0a553cb5-6153-4bdf-9a4a-b355f5f7651e", "metadata": {}, "outputs": [], "source": [ "variable = 'hauteur_m'\n", "# variable_univariate_analysis(df, variable, interesting_variables[variable])\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "# %matplotlib widget\n", "# ax = sns.histplot(df[variable], bins=20, kde=True)\n", "filtered_data = df[variable][df[variable]<=40]\n", "# sns.histplot(df[variable][df[variable] <= df[variable].quantile(0.99)], stat='frequency', binwidth = 1, binrange=(0,20), kde=True)\n", "sns.histplot(df[variable][df[variable] <= df[variable].quantile(0.99)], stat='frequency', kde=True)\n", "# plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "48d702a5-7520-48bc-813f-21d73f8de2a9", "metadata": {}, "outputs": [], "source": [ "variable = 'domanialite'\n", "variable_univariate_analysis(df, variable, interesting_variables[variable])" ] }, { "cell_type": "code", "execution_count": null, "id": "1dbb0aeb-0f01-4310-9a80-8f51aae6f531", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "0dccc78f-2ecf-4116-a7b0-d91a6a22f74a", "metadata": { "jupyter": { "source_hidden": true } }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 107, "id": "b0faf570-91a6-4d6a-bba3-a15c31cea9a7", "metadata": {}, "outputs": [], "source": [ "interesting_variables = {'circonference_cm':'boxplot',\n", " 'hauteur_m':'boxplot'}" ] }, { "cell_type": "code", "execution_count": 108, "id": "5611cb99-278b-4f8f-aa91-0cd0cfa72337", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for variable in interesting_variables:\n", " plot_variable_distribution(df, variable, interesting_variables[variable])" ] }, { "cell_type": "code", "execution_count": null, "id": "8a1791c2-b9af-4c0f-b939-522e29ed0e7e", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "5a119501-0644-446d-b900-c34e96b4ea8b", "metadata": {}, "source": [ "# 3" ] }, { "cell_type": "code", "execution_count": null, "id": "f8f5e415-2581-4f78-8894-376701aa4915", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "ffbe2364-8e66-45cd-8c1b-33aed692947e", "metadata": {}, "outputs": [], "source": [ "# genre and libelle_francais, espece etc. : search for same trees with more metadata : step 4" ] }, { "cell_type": "code", "execution_count": null, "id": "03a745b2-df95-4c31-8211-f03c28b84e70", "metadata": {}, "outputs": [], "source": [ "# regarder si les arbres avec hauteur et circonférence nulle se rencontrent ou pas. Graines plantées ? \n", "# Relevés non faits (pourquoi on donnerait une position, alors?)" ] }, { "cell_type": "code", "execution_count": null, "id": "19009fc0-3cfa-4f11-8d2e-f5e6a21434b5", "metadata": {}, "outputs": [], "source": [ "## 4 : traitement valeurs aberrantes\n", "# report this tree to Paris City : the owner is unknown --> look for similar trees in order to find the right owner : step 4\n", "df[df['domanialite'].isna()]" ] }, { "cell_type": "code", "execution_count": null, "id": "27d917ad-125b-4ab4-8fd9-d156edf1c0b5", "metadata": {}, "outputs": [], "source": [ "import folium\n", "import missingno" ] }, { "cell_type": "code", "execution_count": null, "id": "2490416f-ae59-40cc-934c-dd834c7a9938", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "399d41e7-d9b3-4704-80bf-4d1f099fd86f", "metadata": {}, "outputs": [], "source": [ "# pistes amélioration : proposer trajet pour arbres de plus de x mètres (nacelle)\n", "# regarder sur carte à quoi correspondent les id d'emplacements, par rapport aux lieux" ] }, { "cell_type": "code", "execution_count": null, "id": "66c446a2-fbd2-49a2-8eef-ad39128a7ddd", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.12.7" } }, "nbformat": 4, "nbformat_minor": 5 }