diff --git a/ProjetStats/.ipynb_checkpoints/Untitled-checkpoint.ipynb b/ProjetStats/.ipynb_checkpoints/Untitled-checkpoint.ipynb deleted file mode 100644 index d814db6..0000000 --- a/ProjetStats/.ipynb_checkpoints/Untitled-checkpoint.ipynb +++ /dev/null @@ -1,2583 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 2, - "id": "a9b74e9b", - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "df = pd.read_csv(\"~/stats/Report_2021.csv\", encoding=\"latin-1\")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "4cf63957", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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CountryISO CodeRegionPosition 2021Position 2020Global ScoreWith AbusesWithout AbusesJournalist KilledMedia Workers KilledJournalist ImprisonedMedia Workers ImprisonedSituation
0AfghanistanAFGAsia Pacific12212259.8136.7265.603300Difficult
1AlbaniaALBEurope838469.4176.0269.410000Problematic
2AlgeriaDZAArab States14614652.7464.4552.740010Difficult
3AndorraANDEurope393776.68100.0076.680000Satisfactory
4AngolaAGOAfrica10310665.9474.3565.940000Problematic
..........................................
175VenezuelaVENSouth America14814752.4045.7153.840000Difficult
176VietnamVNMAsia Pacific17517521.5431.9624.8200240Very Serious
177YemenYEMMiddle East16916737.6546.6737.654050Very Serious
178ZambiaZMBAfrica11512061.79100.0061.790000Difficult
179ZimbabweZWEAfrica13012656.8865.3456.880010Difficult
\n", - "

180 rows × 13 columns

\n", - "
" - ], - "text/plain": [ - " Country ISO Code Region Position 2021 Position 2020 \\\n", - "0 Afghanistan AFG Asia Pacific 122 122 \n", - "1 Albania ALB Europe 83 84 \n", - "2 Algeria DZA Arab States 146 146 \n", - "3 Andorra AND Europe 39 37 \n", - "4 Angola AGO Africa 103 106 \n", - ".. ... ... ... ... ... \n", - "175 Venezuela VEN South America 148 147 \n", - "176 Vietnam VNM Asia Pacific 175 175 \n", - "177 Yemen YEM Middle East 169 167 \n", - "178 Zambia ZMB Africa 115 120 \n", - "179 Zimbabwe ZWE Africa 130 126 \n", - "\n", - " Global Score With Abuses Without Abuses Journalist Killed \\\n", - "0 59.81 36.72 65.60 3 \n", - "1 69.41 76.02 69.41 0 \n", - "2 52.74 64.45 52.74 0 \n", - "3 76.68 100.00 76.68 0 \n", - "4 65.94 74.35 65.94 0 \n", - ".. ... ... ... ... \n", - "175 52.40 45.71 53.84 0 \n", - "176 21.54 31.96 24.82 0 \n", - "177 37.65 46.67 37.65 4 \n", - "178 61.79 100.00 61.79 0 \n", - "179 56.88 65.34 56.88 0 \n", - "\n", - " Media Workers Killed Journalist Imprisoned Media Workers Imprisoned \\\n", - "0 3 0 0 \n", - "1 0 0 0 \n", - "2 0 1 0 \n", - "3 0 0 0 \n", - "4 0 0 0 \n", - ".. ... ... ... \n", - "175 0 0 0 \n", - "176 0 24 0 \n", - "177 0 5 0 \n", - "178 0 0 0 \n", - "179 0 1 0 \n", - "\n", - " Situation \n", - "0 Difficult \n", - "1 Problematic \n", - "2 Difficult \n", - "3 Satisfactory \n", - "4 Problematic \n", - ".. ... \n", - "175 Difficult \n", - "176 Very Serious \n", - "177 Very Serious \n", - "178 Difficult \n", - "179 Difficult \n", - "\n", - "[180 rows x 13 columns]" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "display(df)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "c04f98fd", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "64.91827777777779\n" - ] - } - ], - "source": [ - "print(df['Global Score'].mean())" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "2a75a371", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(array([ 6., 3., 4., 9., 22., 25., 39., 39., 21., 12.]),\n", - " array([18.55 , 26.023, 33.496, 40.969, 48.442, 55.915, 63.388, 70.861,\n", - " 78.334, 85.807, 93.28 ]),\n", - " )" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.hist(df['Global Score'])" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "3ef8e5ae", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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CountryISO CodeRegionPosition 2021Position 2020Global ScoreWith AbusesWithout AbusesJournalist KilledMedia Workers KilledJournalist ImprisonedMedia Workers ImprisonedSituation
3AndorraANDEurope393776.68100.0076.680000Satisfactory
7AustraliaAUSAsia Pacific252680.21100.0080.210000Satisfactory
8AustriaAUTEurope171883.6689.0183.660000Satisfactory
13BelgiumBELEurope111288.3193.0788.310000Good
19BotswanaBWAAfrica383976.7593.0776.750000Satisfactory
23Burkina FasoBFAAfrica373876.8393.0776.832000Satisfactory
25Cabo VerdeCPVAfrica272579.91100.0079.910000Satisfactory
28CanadaCANNorth America141684.75100.0084.750000Satisfactory
36Costa RicaCRISouth America5791.2489.0191.790000Good
39CyprusCYPEurope262780.1583.9180.150000Satisfactory
40Czech RepublicCZEEurope404076.62100.0076.620000Satisfactory
42DenmarkDNKEurope4391.43100.0091.430000Good
50EstoniaESTEurope151484.75100.0084.750000Satisfactory
54FinlandFINEurope2293.01100.0093.010000Good
55FranceFRAEurope343477.4058.1082.110000Satisfactory
59GermanyDEUEurope131184.7656.6991.750000Satisfactory
60GhanaGHAAfrica303078.6782.0878.670010Satisfactory
70IcelandISLEurope161584.63100.0084.630000Satisfactory
75IrelandIRLEurope121388.09100.0088.090000Good
77ItalyITAEurope414176.6172.2777.370000Satisfactory
79JamaicaJAMSouth America7690.04100.0090.040000Good
88LatviaLVAEurope222280.74100.0080.740000Satisfactory
93LiechtensteinLIEEurope232480.51100.0080.510000Satisfactory
94LithuaniaLTUEurope282879.85100.0079.850000Satisfactory
95LuxembourgLUXEurope201782.44100.0082.440000Satisfactory
111NamibiaNAMAfrica242380.2889.0180.280000Satisfactory
113NetherlandsNLDEurope6590.3386.1491.261000Good
114New ZealandNZLAsia Pacific8989.96100.0089.960000Good
121NorwayNOREurope1193.28100.0093.280000Good
122OECSNaNNaN454476.02100.0076.030000Satisfactory
127Papua New GuineaPNGAsia Pacific474675.12100.0075.120000Satisfactory
132PortugalPRTEurope91089.89100.0089.890000Good
134RomaniaROUEurope484875.09100.0075.090000Satisfactory
137SamoaWSMAsia Pacific212180.76100.0080.760000Satisfactory
144SlovakiaSVKEurope353376.98100.0076.980000Satisfactory
145SloveniaSVNEurope363276.9093.0776.900000Satisfactory
147South AfricaZAFAfrica323178.4154.3684.390000Satisfactory
148South KoreaKORAsia Pacific424276.57100.0076.570000Satisfactory
150SpainESPEurope292979.5676.0280.300000Satisfactory
153SurinameSURSouth America192083.05100.0083.050000Satisfactory
154SwedenSWEEurope3492.76100.0092.760000Good
155SwitzerlandCHEEurope10889.4593.0789.450000Good
157TaiwanTWNAsia Pacific434376.14100.0076.140000Satisfactory
163TongaTONAsia Pacific465075.41100.0075.410000Satisfactory
164Trinidad and TobagoTTOSouth America313678.45100.0078.450000Satisfactory
171United KingdomGBREurope333578.4186.1478.350000Satisfactory
172United StatesUSANorth America444576.0760.3079.970000Satisfactory
173UruguayURYSouth America181983.62100.0083.620000Satisfactory
\n", - "
" - ], - "text/plain": [ - " Country ISO Code Region Position 2021 \\\n", - "3 Andorra AND Europe 39 \n", - "7 Australia AUS Asia Pacific 25 \n", - "8 Austria AUT Europe 17 \n", - "13 Belgium BEL Europe 11 \n", - "19 Botswana BWA Africa 38 \n", - "23 Burkina Faso BFA Africa 37 \n", - "25 Cabo Verde CPV Africa 27 \n", - "28 Canada CAN North America 14 \n", - "36 Costa Rica CRI South America 5 \n", - "39 Cyprus CYP Europe 26 \n", - "40 Czech Republic CZE Europe 40 \n", - "42 Denmark DNK Europe 4 \n", - "50 Estonia EST Europe 15 \n", - "54 Finland FIN Europe 2 \n", - "55 France FRA Europe 34 \n", - "59 Germany DEU Europe 13 \n", - "60 Ghana GHA Africa 30 \n", - "70 Iceland ISL Europe 16 \n", - "75 Ireland IRL Europe 12 \n", - "77 Italy ITA Europe 41 \n", - "79 Jamaica JAM South America 7 \n", - "88 Latvia LVA Europe 22 \n", - "93 Liechtenstein LIE Europe 23 \n", - "94 Lithuania LTU Europe 28 \n", - "95 Luxembourg LUX Europe 20 \n", - "111 Namibia NAM Africa 24 \n", - "113 Netherlands NLD Europe 6 \n", - "114 New Zealand NZL Asia Pacific 8 \n", - "121 Norway NOR Europe 1 \n", - "122 OECS NaN NaN 45 \n", - "127 Papua New Guinea PNG Asia Pacific 47 \n", - "132 Portugal PRT Europe 9 \n", - "134 Romania ROU Europe 48 \n", - "137 Samoa WSM Asia Pacific 21 \n", - "144 Slovakia SVK Europe 35 \n", - "145 Slovenia SVN Europe 36 \n", - "147 South Africa ZAF Africa 32 \n", - "148 South Korea KOR Asia Pacific 42 \n", - "150 Spain ESP Europe 29 \n", - "153 Suriname SUR South America 19 \n", - "154 Sweden SWE Europe 3 \n", - "155 Switzerland CHE Europe 10 \n", - "157 Taiwan TWN Asia Pacific 43 \n", - "163 Tonga TON Asia Pacific 46 \n", - "164 Trinidad and Tobago TTO South America 31 \n", - "171 United Kingdom GBR Europe 33 \n", - "172 United States USA North America 44 \n", - "173 Uruguay URY South America 18 \n", - "\n", - " Position 2020 Global Score With Abuses Without Abuses \\\n", - "3 37 76.68 100.00 76.68 \n", - "7 26 80.21 100.00 80.21 \n", - "8 18 83.66 89.01 83.66 \n", - "13 12 88.31 93.07 88.31 \n", - "19 39 76.75 93.07 76.75 \n", - "23 38 76.83 93.07 76.83 \n", - "25 25 79.91 100.00 79.91 \n", - "28 16 84.75 100.00 84.75 \n", - "36 7 91.24 89.01 91.79 \n", - "39 27 80.15 83.91 80.15 \n", - "40 40 76.62 100.00 76.62 \n", - "42 3 91.43 100.00 91.43 \n", - "50 14 84.75 100.00 84.75 \n", - "54 2 93.01 100.00 93.01 \n", - "55 34 77.40 58.10 82.11 \n", - "59 11 84.76 56.69 91.75 \n", - "60 30 78.67 82.08 78.67 \n", - "70 15 84.63 100.00 84.63 \n", - "75 13 88.09 100.00 88.09 \n", - "77 41 76.61 72.27 77.37 \n", - "79 6 90.04 100.00 90.04 \n", - "88 22 80.74 100.00 80.74 \n", - "93 24 80.51 100.00 80.51 \n", - "94 28 79.85 100.00 79.85 \n", - "95 17 82.44 100.00 82.44 \n", - "111 23 80.28 89.01 80.28 \n", - "113 5 90.33 86.14 91.26 \n", - "114 9 89.96 100.00 89.96 \n", - "121 1 93.28 100.00 93.28 \n", - "122 44 76.02 100.00 76.03 \n", - "127 46 75.12 100.00 75.12 \n", - "132 10 89.89 100.00 89.89 \n", - "134 48 75.09 100.00 75.09 \n", - "137 21 80.76 100.00 80.76 \n", - "144 33 76.98 100.00 76.98 \n", - "145 32 76.90 93.07 76.90 \n", - "147 31 78.41 54.36 84.39 \n", - "148 42 76.57 100.00 76.57 \n", - "150 29 79.56 76.02 80.30 \n", - "153 20 83.05 100.00 83.05 \n", - "154 4 92.76 100.00 92.76 \n", - "155 8 89.45 93.07 89.45 \n", - "157 43 76.14 100.00 76.14 \n", - "163 50 75.41 100.00 75.41 \n", - "164 36 78.45 100.00 78.45 \n", - "171 35 78.41 86.14 78.35 \n", - "172 45 76.07 60.30 79.97 \n", - "173 19 83.62 100.00 83.62 \n", - "\n", - " Journalist Killed Media Workers Killed Journalist Imprisoned \\\n", - "3 0 0 0 \n", - "7 0 0 0 \n", - "8 0 0 0 \n", - "13 0 0 0 \n", - "19 0 0 0 \n", - "23 2 0 0 \n", - "25 0 0 0 \n", - "28 0 0 0 \n", - "36 0 0 0 \n", - "39 0 0 0 \n", - "40 0 0 0 \n", - "42 0 0 0 \n", - "50 0 0 0 \n", - "54 0 0 0 \n", - "55 0 0 0 \n", - "59 0 0 0 \n", - "60 0 0 1 \n", - "70 0 0 0 \n", - "75 0 0 0 \n", - "77 0 0 0 \n", - "79 0 0 0 \n", - "88 0 0 0 \n", - "93 0 0 0 \n", - "94 0 0 0 \n", - "95 0 0 0 \n", - "111 0 0 0 \n", - "113 1 0 0 \n", - "114 0 0 0 \n", - "121 0 0 0 \n", - "122 0 0 0 \n", - "127 0 0 0 \n", - "132 0 0 0 \n", - "134 0 0 0 \n", - "137 0 0 0 \n", - "144 0 0 0 \n", - "145 0 0 0 \n", - "147 0 0 0 \n", - "148 0 0 0 \n", - "150 0 0 0 \n", - "153 0 0 0 \n", - "154 0 0 0 \n", - "155 0 0 0 \n", - "157 0 0 0 \n", - "163 0 0 0 \n", - "164 0 0 0 \n", - "171 0 0 0 \n", - "172 0 0 0 \n", - "173 0 0 0 \n", - "\n", - " Media Workers Imprisoned Situation \n", - "3 0 Satisfactory \n", - "7 0 Satisfactory \n", - "8 0 Satisfactory \n", - "13 0 Good \n", - "19 0 Satisfactory \n", - "23 0 Satisfactory \n", - "25 0 Satisfactory \n", - "28 0 Satisfactory \n", - "36 0 Good \n", - "39 0 Satisfactory \n", - "40 0 Satisfactory \n", - "42 0 Good \n", - "50 0 Satisfactory \n", - "54 0 Good \n", - "55 0 Satisfactory \n", - "59 0 Satisfactory \n", - "60 0 Satisfactory \n", - "70 0 Satisfactory \n", - "75 0 Good \n", - "77 0 Satisfactory \n", - "79 0 Good \n", - "88 0 Satisfactory \n", - "93 0 Satisfactory \n", - "94 0 Satisfactory \n", - "95 0 Satisfactory \n", - "111 0 Satisfactory \n", - "113 0 Good \n", - "114 0 Good \n", - "121 0 Good \n", - "122 0 Satisfactory \n", - "127 0 Satisfactory \n", - "132 0 Good \n", - "134 0 Satisfactory \n", - "137 0 Satisfactory \n", - "144 0 Satisfactory \n", - "145 0 Satisfactory \n", - "147 0 Satisfactory \n", - "148 0 Satisfactory \n", - "150 0 Satisfactory \n", - "153 0 Satisfactory \n", - "154 0 Good \n", - "155 0 Good \n", - "157 0 Satisfactory \n", - "163 0 Satisfactory \n", - "164 0 Satisfactory \n", - "171 0 Satisfactory \n", - "172 0 Satisfactory \n", - "173 0 Satisfactory " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Paysbon est toujours un DataFrame : \n" - ] - } - ], - "source": [ - "Score=df[\"Global Score\"] # df[label_colonne] sélectionne une colonne (renvoie la Series correspondante)\n", - "Paysbon = df.loc[Score > 75] # df.loc[critère] sélectionne un sous-échantillon de lignes.\n", - " # Le critère de sélection doit lui-même être calculé à partir d'une Series.\n", - "display(Paysbon)\n", - "print(\"Paysbon est toujours un DataFrame : \", type(Paysbon))" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "fb2a2980", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "moyenne des Score: 64.91827777777779\n", - "écart-type des Score: 15.831010824369084\n", - "quantiles des prix:\n" - ] - }, - { - "data": { - "text/plain": [ - "0.10 44.4750\n", - "0.25 56.1800\n", - "0.50 68.3100\n", - "0.75 75.5625\n", - "0.90 83.1070\n", - "Name: Global Score, dtype: float64" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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CountryISO CodeRegionPosition 2021Position 2020Global ScoreWith AbusesWithout AbusesJournalist KilledMedia Workers KilledJournalist ImprisonedMedia Workers ImprisonedSituation
3AndorraANDEurope393776.68100.0076.680000Satisfactory
7AustraliaAUSAsia Pacific252680.21100.0080.210000Satisfactory
8AustriaAUTEurope171883.6689.0183.660000Satisfactory
13BelgiumBELEurope111288.3193.0788.310000Good
19BotswanaBWAAfrica383976.7593.0776.750000Satisfactory
23Burkina FasoBFAAfrica373876.8393.0776.832000Satisfactory
25Cabo VerdeCPVAfrica272579.91100.0079.910000Satisfactory
28CanadaCANNorth America141684.75100.0084.750000Satisfactory
36Costa RicaCRISouth America5791.2489.0191.790000Good
39CyprusCYPEurope262780.1583.9180.150000Satisfactory
40Czech RepublicCZEEurope404076.62100.0076.620000Satisfactory
42DenmarkDNKEurope4391.43100.0091.430000Good
50EstoniaESTEurope151484.75100.0084.750000Satisfactory
54FinlandFINEurope2293.01100.0093.010000Good
55FranceFRAEurope343477.4058.1082.110000Satisfactory
59GermanyDEUEurope131184.7656.6991.750000Satisfactory
60GhanaGHAAfrica303078.6782.0878.670010Satisfactory
70IcelandISLEurope161584.63100.0084.630000Satisfactory
75IrelandIRLEurope121388.09100.0088.090000Good
77ItalyITAEurope414176.6172.2777.370000Satisfactory
79JamaicaJAMSouth America7690.04100.0090.040000Good
88LatviaLVAEurope222280.74100.0080.740000Satisfactory
93LiechtensteinLIEEurope232480.51100.0080.510000Satisfactory
94LithuaniaLTUEurope282879.85100.0079.850000Satisfactory
95LuxembourgLUXEurope201782.44100.0082.440000Satisfactory
111NamibiaNAMAfrica242380.2889.0180.280000Satisfactory
113NetherlandsNLDEurope6590.3386.1491.261000Good
114New ZealandNZLAsia Pacific8989.96100.0089.960000Good
121NorwayNOREurope1193.28100.0093.280000Good
122OECSNaNNaN454476.02100.0076.030000Satisfactory
127Papua New GuineaPNGAsia Pacific474675.12100.0075.120000Satisfactory
132PortugalPRTEurope91089.89100.0089.890000Good
134RomaniaROUEurope484875.09100.0075.090000Satisfactory
137SamoaWSMAsia Pacific212180.76100.0080.760000Satisfactory
139SenegalSENAfrica494774.7871.6775.380000Problematic
144SlovakiaSVKEurope353376.98100.0076.980000Satisfactory
145SloveniaSVNEurope363276.9093.0776.900000Satisfactory
147South AfricaZAFAfrica323178.4154.3684.390000Satisfactory
148South KoreaKORAsia Pacific424276.57100.0076.570000Satisfactory
150SpainESPEurope292979.5676.0280.300000Satisfactory
153SurinameSURSouth America192083.05100.0083.050000Satisfactory
154SwedenSWEEurope3492.76100.0092.760000Good
155SwitzerlandCHEEurope10889.4593.0789.450000Good
157TaiwanTWNAsia Pacific434376.14100.0076.140000Satisfactory
163TongaTONAsia Pacific465075.41100.0075.410000Satisfactory
164Trinidad and TobagoTTOSouth America313678.45100.0078.450000Satisfactory
171United KingdomGBREurope333578.4186.1478.350000Satisfactory
172United StatesUSANorth America444576.0760.3079.970000Satisfactory
173UruguayURYSouth America181983.62100.0083.620000Satisfactory
\n", - "
" - ], - "text/plain": [ - " Country ISO Code Region Position 2021 \\\n", - "3 Andorra AND Europe 39 \n", - "7 Australia AUS Asia Pacific 25 \n", - "8 Austria AUT Europe 17 \n", - "13 Belgium BEL Europe 11 \n", - "19 Botswana BWA Africa 38 \n", - "23 Burkina Faso BFA Africa 37 \n", - "25 Cabo Verde CPV Africa 27 \n", - "28 Canada CAN North America 14 \n", - "36 Costa Rica CRI South America 5 \n", - "39 Cyprus CYP Europe 26 \n", - "40 Czech Republic CZE Europe 40 \n", - "42 Denmark DNK Europe 4 \n", - "50 Estonia EST Europe 15 \n", - "54 Finland FIN Europe 2 \n", - "55 France FRA Europe 34 \n", - "59 Germany DEU Europe 13 \n", - "60 Ghana GHA Africa 30 \n", - "70 Iceland ISL Europe 16 \n", - "75 Ireland IRL Europe 12 \n", - "77 Italy ITA Europe 41 \n", - "79 Jamaica JAM South America 7 \n", - "88 Latvia LVA Europe 22 \n", - "93 Liechtenstein LIE Europe 23 \n", - "94 Lithuania LTU Europe 28 \n", - "95 Luxembourg LUX Europe 20 \n", - "111 Namibia NAM Africa 24 \n", - "113 Netherlands NLD Europe 6 \n", - "114 New Zealand NZL Asia Pacific 8 \n", - "121 Norway NOR Europe 1 \n", - "122 OECS NaN NaN 45 \n", - "127 Papua New Guinea PNG Asia Pacific 47 \n", - "132 Portugal PRT Europe 9 \n", - "134 Romania ROU Europe 48 \n", - "137 Samoa WSM Asia Pacific 21 \n", - "139 Senegal SEN Africa 49 \n", - "144 Slovakia SVK Europe 35 \n", - "145 Slovenia SVN Europe 36 \n", - "147 South Africa ZAF Africa 32 \n", - "148 South Korea KOR Asia Pacific 42 \n", - "150 Spain ESP Europe 29 \n", - "153 Suriname SUR South America 19 \n", - "154 Sweden SWE Europe 3 \n", - "155 Switzerland CHE Europe 10 \n", - "157 Taiwan TWN Asia Pacific 43 \n", - "163 Tonga TON Asia Pacific 46 \n", - "164 Trinidad and Tobago TTO South America 31 \n", - "171 United Kingdom GBR Europe 33 \n", - "172 United States USA North America 44 \n", - "173 Uruguay URY South America 18 \n", - "\n", - " Position 2020 Global Score With Abuses Without Abuses \\\n", - "3 37 76.68 100.00 76.68 \n", - "7 26 80.21 100.00 80.21 \n", - "8 18 83.66 89.01 83.66 \n", - "13 12 88.31 93.07 88.31 \n", - "19 39 76.75 93.07 76.75 \n", - "23 38 76.83 93.07 76.83 \n", - "25 25 79.91 100.00 79.91 \n", - "28 16 84.75 100.00 84.75 \n", - "36 7 91.24 89.01 91.79 \n", - "39 27 80.15 83.91 80.15 \n", - "40 40 76.62 100.00 76.62 \n", - "42 3 91.43 100.00 91.43 \n", - "50 14 84.75 100.00 84.75 \n", - "54 2 93.01 100.00 93.01 \n", - "55 34 77.40 58.10 82.11 \n", - "59 11 84.76 56.69 91.75 \n", - "60 30 78.67 82.08 78.67 \n", - "70 15 84.63 100.00 84.63 \n", - "75 13 88.09 100.00 88.09 \n", - "77 41 76.61 72.27 77.37 \n", - "79 6 90.04 100.00 90.04 \n", - "88 22 80.74 100.00 80.74 \n", - "93 24 80.51 100.00 80.51 \n", - "94 28 79.85 100.00 79.85 \n", - "95 17 82.44 100.00 82.44 \n", - "111 23 80.28 89.01 80.28 \n", - "113 5 90.33 86.14 91.26 \n", - "114 9 89.96 100.00 89.96 \n", - "121 1 93.28 100.00 93.28 \n", - "122 44 76.02 100.00 76.03 \n", - "127 46 75.12 100.00 75.12 \n", - "132 10 89.89 100.00 89.89 \n", - "134 48 75.09 100.00 75.09 \n", - "137 21 80.76 100.00 80.76 \n", - "139 47 74.78 71.67 75.38 \n", - "144 33 76.98 100.00 76.98 \n", - "145 32 76.90 93.07 76.90 \n", - "147 31 78.41 54.36 84.39 \n", - "148 42 76.57 100.00 76.57 \n", - "150 29 79.56 76.02 80.30 \n", - "153 20 83.05 100.00 83.05 \n", - "154 4 92.76 100.00 92.76 \n", - "155 8 89.45 93.07 89.45 \n", - "157 43 76.14 100.00 76.14 \n", - "163 50 75.41 100.00 75.41 \n", - "164 36 78.45 100.00 78.45 \n", - "171 35 78.41 86.14 78.35 \n", - "172 45 76.07 60.30 79.97 \n", - "173 19 83.62 100.00 83.62 \n", - "\n", - " Journalist Killed Media Workers Killed Journalist Imprisoned \\\n", - "3 0 0 0 \n", - "7 0 0 0 \n", - "8 0 0 0 \n", - "13 0 0 0 \n", - "19 0 0 0 \n", - "23 2 0 0 \n", - "25 0 0 0 \n", - "28 0 0 0 \n", - "36 0 0 0 \n", - "39 0 0 0 \n", - "40 0 0 0 \n", - "42 0 0 0 \n", - "50 0 0 0 \n", - "54 0 0 0 \n", - "55 0 0 0 \n", - "59 0 0 0 \n", - "60 0 0 1 \n", - "70 0 0 0 \n", - "75 0 0 0 \n", - "77 0 0 0 \n", - "79 0 0 0 \n", - "88 0 0 0 \n", - "93 0 0 0 \n", - "94 0 0 0 \n", - "95 0 0 0 \n", - "111 0 0 0 \n", - "113 1 0 0 \n", - "114 0 0 0 \n", - "121 0 0 0 \n", - "122 0 0 0 \n", - "127 0 0 0 \n", - "132 0 0 0 \n", - "134 0 0 0 \n", - "137 0 0 0 \n", - "139 0 0 0 \n", - "144 0 0 0 \n", - "145 0 0 0 \n", - "147 0 0 0 \n", - "148 0 0 0 \n", - "150 0 0 0 \n", - "153 0 0 0 \n", - "154 0 0 0 \n", - "155 0 0 0 \n", - "157 0 0 0 \n", - "163 0 0 0 \n", - "164 0 0 0 \n", - "171 0 0 0 \n", - "172 0 0 0 \n", - "173 0 0 0 \n", - "\n", - " Media Workers Imprisoned Situation \n", - "3 0 Satisfactory \n", - "7 0 Satisfactory \n", - "8 0 Satisfactory \n", - "13 0 Good \n", - "19 0 Satisfactory \n", - "23 0 Satisfactory \n", - "25 0 Satisfactory \n", - "28 0 Satisfactory \n", - "36 0 Good \n", - "39 0 Satisfactory \n", - "40 0 Satisfactory \n", - "42 0 Good \n", - "50 0 Satisfactory \n", - "54 0 Good \n", - "55 0 Satisfactory \n", - "59 0 Satisfactory \n", - "60 0 Satisfactory \n", - "70 0 Satisfactory \n", - "75 0 Good \n", - "77 0 Satisfactory \n", - "79 0 Good \n", - "88 0 Satisfactory \n", - "93 0 Satisfactory \n", - "94 0 Satisfactory \n", - "95 0 Satisfactory \n", - "111 0 Satisfactory \n", - "113 0 Good \n", - "114 0 Good \n", - "121 0 Good \n", - "122 0 Satisfactory \n", - "127 0 Satisfactory \n", - "132 0 Good \n", - "134 0 Satisfactory \n", - "137 0 Satisfactory \n", - "139 0 Problematic \n", - "144 0 Satisfactory \n", - "145 0 Satisfactory \n", - "147 0 Satisfactory \n", - "148 0 Satisfactory \n", - "150 0 Satisfactory \n", - "153 0 Satisfactory \n", - "154 0 Good \n", - "155 0 Good \n", - "157 0 Satisfactory \n", - "163 0 Satisfactory \n", - "164 0 Satisfactory \n", - "171 0 Satisfactory \n", - "172 0 Satisfactory \n", - "173 0 Satisfactory " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "position est toujours un DataFrame : \n" - ] - } - ], - "source": [ - "Pos = df[\"Position 2021\"] # df[label_colonne] sélectionne une colonne (renvoie la Series correspondante)\n", - "Position = df.loc[Pos < 50] # df.loc[critère] sélectionne un sous-échantillon de lignes. # Le critère de sélection doit lui-même être calculé à partir d'une Series.\n", - "display(Position)\n", - "print(\"position est toujours un DataFrame : \", type(Position))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2812820d", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "30e593f8", - "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": "3.9.2" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -}