|
975 | 975 | "cell_type": "code", |
976 | 976 | "execution_count": 24, |
977 | 977 | "metadata": {}, |
| 978 | + "outputs": [ |
| 979 | + { |
| 980 | + "data": { |
| 981 | + "text/html": [ |
| 982 | + "<div>\n", |
| 983 | + "<style scoped>\n", |
| 984 | + " .dataframe tbody tr th:only-of-type {\n", |
| 985 | + " vertical-align: middle;\n", |
| 986 | + " }\n", |
| 987 | + "\n", |
| 988 | + " .dataframe tbody tr th {\n", |
| 989 | + " vertical-align: top;\n", |
| 990 | + " }\n", |
| 991 | + "\n", |
| 992 | + " .dataframe thead th {\n", |
| 993 | + " text-align: right;\n", |
| 994 | + " }\n", |
| 995 | + "</style>\n", |
| 996 | + "<table border=\"1\" class=\"dataframe\">\n", |
| 997 | + " <thead>\n", |
| 998 | + " <tr style=\"text-align: right;\">\n", |
| 999 | + " <th></th>\n", |
| 1000 | + " <th>sepal_length</th>\n", |
| 1001 | + " <th>sepal_width</th>\n", |
| 1002 | + " <th>petal_length</th>\n", |
| 1003 | + " <th>petal_width</th>\n", |
| 1004 | + " <th>species</th>\n", |
| 1005 | + " </tr>\n", |
| 1006 | + " </thead>\n", |
| 1007 | + " <tbody>\n", |
| 1008 | + " <tr>\n", |
| 1009 | + " <th>0</th>\n", |
| 1010 | + " <td>5.1</td>\n", |
| 1011 | + " <td>3.5</td>\n", |
| 1012 | + " <td>1.4</td>\n", |
| 1013 | + " <td>0.2</td>\n", |
| 1014 | + " <td>setosa</td>\n", |
| 1015 | + " </tr>\n", |
| 1016 | + " <tr>\n", |
| 1017 | + " <th>1</th>\n", |
| 1018 | + " <td>4.9</td>\n", |
| 1019 | + " <td>3.0</td>\n", |
| 1020 | + " <td>1.4</td>\n", |
| 1021 | + " <td>0.2</td>\n", |
| 1022 | + " <td>setosa</td>\n", |
| 1023 | + " </tr>\n", |
| 1024 | + " <tr>\n", |
| 1025 | + " <th>2</th>\n", |
| 1026 | + " <td>4.7</td>\n", |
| 1027 | + " <td>3.2</td>\n", |
| 1028 | + " <td>1.3</td>\n", |
| 1029 | + " <td>0.2</td>\n", |
| 1030 | + " <td>setosa</td>\n", |
| 1031 | + " </tr>\n", |
| 1032 | + " <tr>\n", |
| 1033 | + " <th>3</th>\n", |
| 1034 | + " <td>4.6</td>\n", |
| 1035 | + " <td>3.1</td>\n", |
| 1036 | + " <td>1.5</td>\n", |
| 1037 | + " <td>0.2</td>\n", |
| 1038 | + " <td>setosa</td>\n", |
| 1039 | + " </tr>\n", |
| 1040 | + " <tr>\n", |
| 1041 | + " <th>4</th>\n", |
| 1042 | + " <td>5.0</td>\n", |
| 1043 | + " <td>3.6</td>\n", |
| 1044 | + " <td>1.4</td>\n", |
| 1045 | + " <td>0.2</td>\n", |
| 1046 | + " <td>setosa</td>\n", |
| 1047 | + " </tr>\n", |
| 1048 | + " </tbody>\n", |
| 1049 | + "</table>\n", |
| 1050 | + "</div>" |
| 1051 | + ], |
| 1052 | + "text/plain": [ |
| 1053 | + " sepal_length sepal_width petal_length petal_width species\n", |
| 1054 | + "0 5.1 3.5 1.4 0.2 setosa\n", |
| 1055 | + "1 4.9 3.0 1.4 0.2 setosa\n", |
| 1056 | + "2 4.7 3.2 1.3 0.2 setosa\n", |
| 1057 | + "3 4.6 3.1 1.5 0.2 setosa\n", |
| 1058 | + "4 5.0 3.6 1.4 0.2 setosa" |
| 1059 | + ] |
| 1060 | + }, |
| 1061 | + "execution_count": 24, |
| 1062 | + "metadata": {}, |
| 1063 | + "output_type": "execute_result" |
| 1064 | + } |
| 1065 | + ], |
| 1066 | + "source": [ |
| 1067 | + "# Another way to filter and separate data\n", |
| 1068 | + "setosa2 = df[df['species'] == 'setosa']\n", |
| 1069 | + "setosa2.head()" |
| 1070 | + ] |
| 1071 | + }, |
| 1072 | + { |
| 1073 | + "cell_type": "code", |
| 1074 | + "execution_count": 25, |
| 1075 | + "metadata": {}, |
978 | 1076 | "outputs": [], |
979 | 1077 | "source": [ |
980 | 1078 | "# Since we have only 'setosa' species within the setosa DataFrame, we can delete the now redundant species column\n", |
|
990 | 1088 | }, |
991 | 1089 | { |
992 | 1090 | "cell_type": "code", |
993 | | - "execution_count": 25, |
| 1091 | + "execution_count": 26, |
994 | 1092 | "metadata": {}, |
995 | 1093 | "outputs": [ |
996 | 1094 | { |
|
1022 | 1120 | }, |
1023 | 1121 | { |
1024 | 1122 | "cell_type": "code", |
1025 | | - "execution_count": 26, |
| 1123 | + "execution_count": 27, |
1026 | 1124 | "metadata": {}, |
1027 | 1125 | "outputs": [ |
1028 | 1126 | { |
|
0 commit comments