{"id":2420,"date":"2023-07-22T08:36:27","date_gmt":"2023-07-22T08:36:27","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%9e%e1%80%8a%e1%80%ba-np-asarraydata-%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7%e1%80%ba-%e1%80%91%e1%80%8a%e1%80%b7\/"},"modified":"2023-07-22T08:36:27","modified_gmt":"2023-07-22T08:36:27","slug":"%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%9e%e1%80%8a%e1%80%ba-np-asarraydata-%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7%e1%80%ba-%e1%80%91%e1%80%8a%e1%80%b7","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%9e%e1%80%8a%e1%80%ba-np-asarraydata-%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7%e1%80%ba-%e1%80%91%e1%80%8a%e1%80%b7\/","title":{"rendered":"\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038- \u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u1000\u102d\u102f numpy \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101e\u100a\u103a\u104b \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1000\u102d\u102f np.asarray(data) \u1016\u103c\u1004\u1037\u103a \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b"},"content":{"rendered":"

<\/p>\n

\n

Python \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u102c\u1010\u103d\u1004\u103a \u101e\u1004\u103a\u1000\u103c\u102f\u1036\u1010\u103d\u1031\u1037\u101b\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u1037\u103a \u1021\u1019\u103e\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u1019\u103e\u102c-<\/span><\/p>\n

 ValueError<\/span> : Pandas data cast to numpy dtype of object. Check input data with\nnp.asarray(data).\n<\/strong><\/pre>\n
 \u101e\u1004\u103a\u101e\u100a\u103a Python \u1010\u103d\u1004\u103a \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u1021\u1031\u102c\u1004\u103a \u1000\u103c\u102d\u102f\u1038\u1015\u1019\u103a\u1038\u1015\u103c\u102e\u1038 \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1014\u103e\u1004\u1037\u103a \u1021\u1036\u1000\u102d\u102f\u1000\u103a\u1019\u1016\u103c\u1005\u103a\u1019\u102e \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1000\u102d\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f dummy variable\u1019\u103b\u102c\u1038<\/a> \u1021\u1016\u103c\u1005\u103a\u101e\u102d\u102f\u1037 \u1019\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c\u1021\u1001\u102b\u1010\u103d\u1004\u103a \u1024\u1021\u1019\u103e\u102c\u1038\u1021\u101a\u103d\u1004\u103a\u1038 \u1016\u103c\u1005\u103a\u1015\u1031\u102b\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u101e\u100a\u103a \u1024\u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1015\u103c\u102f\u1015\u103c\u1004\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u1015\u103c\u1014\u103a\u1011\u102f\u1010\u103a\u1019\u101c\u1032\u104b<\/strong><\/span><\/h3>\n
 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b \u1015\u1014\u103a\u1012\u102b DataFrame \u101b\u103e\u102d\u101e\u100a\u103a \u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12],\n                   ' points<\/span> ': [14, 19, 8, 12, 17, 19, 22, 25]})\n\n#view DataFrame\n<\/span>df\n\n\tteam assists rebounds points\n0 A 5 11 14\n1 To 7 8 19\n2 A 7 10 8\n3 to 9 6 12\n4 B 12 6 17\n5 B 9 5 19\n6 B 9 9 22\n7 B 4 12 25<\/span><\/span><\/strong><\/pre>\n
 import<\/span> statsmodels. api<\/span> as<\/span> sm\n\n#define response variable\n<\/span>y = df['points']\n\n#define predictor variables\n<\/span>x = df[['team', 'assists', 'rebounds']]\n\n#add constant to predictor variables\n<\/span>x = sm. add_constant<\/span> (x)\n\n#attempt to fit regression model\n<\/span>model = sm. OLS<\/span> (y,x). fit<\/span> ()\n\nValueError<\/span> : Pandas data cast to numpy dtype of object. Check input data with\nnp.asarray(data).\n<\/span><\/span><\/strong><\/pre>\n
 “ team”  variable \u101e\u100a\u103a \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1021\u101c\u102d\u102f\u1000\u103a\u1016\u103c\u1005\u103a\u1015\u103c\u102e\u1038\u104a regression model \u1014\u103e\u1004\u1037\u103a\u1019\u1000\u102d\u102f\u1000\u103a\u100a\u102e\u1019\u102e \u104e\u1004\u103a\u1038\u1000\u102d\u102f dummy variable \u1021\u1016\u103c\u1005\u103a\u101e\u102d\u102f\u1037 \u1019\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1011\u102c\u1038\u101e\u1031\u102c\u1000\u103c\u1031\u102c\u1004\u1037\u103a \u1021\u1019\u103e\u102c\u1038\u1021\u101a\u103d\u1004\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u101b\u101b\u103e\u102d\u1001\u1032\u1037\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f\u1018\u101a\u103a\u101c\u102d\u102f\u1015\u103c\u1004\u103a\u1019\u101c\u1032\u104b<\/strong><\/span><\/h3>\n
 \u1024\u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1004\u103a\u1006\u1004\u103a\u101b\u1014\u103a \u1021\u101c\u103d\u101a\u103a\u1000\u1030\u1006\u102f\u1036\u1038\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103e\u102c pandas.get_dummies()<\/a> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d “ team”  variable \u1000\u102d\u102f dummy variable \u1021\u1016\u103c\u1005\u103a\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101b\u1014\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a<\/strong> – regression \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a dummy variables \u1019\u103b\u102c\u1038\u1021\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1021\u1019\u103c\u1014\u103a\u1015\u103c\u1014\u103a\u101c\u100a\u103a\u1015\u103c\u1004\u103a\u1006\u1004\u103a\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1000\u102d\u102f<\/a> \u1000\u103c\u100a\u1037\u103a\u1015\u102b\u104b<\/span><\/p>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a “ team”  \u1000\u102d\u102f dummy variable \u101e\u102d\u102f\u1037 \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12],\n                   ' points<\/span> ': [14, 19, 8, 12, 17, 19, 22, 25]})\n\n#convert \"team\" to dummy variable\n<\/span>df = pd. get_dummies<\/span> (df, columns=[' team<\/span> '], drop_first= True<\/span> )\n\n#view updated DataFrame\n<\/span>df\n\n        assists rebounds points team_B\n0 5 11 14 0\n1 7 8 19 0\n2 7 10 8 0\n3 9 6 12 0\n4 12 6 17 1\n5 9 5 19 1\n6 9 9 22 1\n7 4 12 25 1<\/span><\/span><\/strong><\/pre>\n
 \u201c\u1021\u1016\u103d\u1032\u1037\u201d \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u201cA\u201d \u1014\u103e\u1004\u1037\u103a \u201cB\u201d \u1019\u103e 0 \u1014\u103e\u1004\u1037\u103a 1 \u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/span><\/p>\n
 \u101a\u1001\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c \u201cteam_B\u201d \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1019\u103b\u102c\u1038\u1005\u103d\u102c\u101e\u1031\u102c linear regression model \u1000\u102d\u102f \u1021\u1036\u1000\u102d\u102f\u1000\u103a\u101c\u102f\u1015\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 import<\/span> statsmodels. api<\/span> as<\/span> sm\n\n#define response variable\n<\/span>y = df['points']\n\n#define predictor variables\n<\/span>x = df[['team_B', 'assists', 'rebounds']]\n\n#add constant to predictor variables\n<\/span>x = sm. add_constant<\/span> (x)\n\n#fit regression model\n<\/span>model = sm. OLS<\/span> (y,x). fit<\/span> ()\n\n#view summary of model fit\n<\/span>print<\/span> ( model.summary<\/span> ())\n\n                            OLS Regression Results                            \n==================================================== ============================\nDept. Variable: R-squared points: 0.701\nModel: OLS Adj. R-squared: 0.476\nMethod: Least Squares F-statistic: 3.119\nDate: Thu, 11 Nov 2021 Prob (F-statistic): 0.150\nTime: 14:49:53 Log-Likelihood: -19.637\nNo. Observations: 8 AIC: 47.27\nDf Residuals: 4 BIC: 47.59\nDf Model: 3                                         \nCovariance Type: non-robust                                         \n==================================================== ============================\n                 coef std err t P>|t| [0.025 0.975]\n-------------------------------------------------- ----------------------------\nconst 27.1891 17.058 1.594 0.186 -20.171 74.549\nteam_B 9.1288 3.032 3.010 0.040 0.709 17.548\nassists -1.3445 1.148 -1.171 0.307 -4.532 1.843\nrebounds -0.5174 1.099 -0.471 0.662 -3.569 2.534\n==================================================== ============================\nOmnibus: 0.691 Durbin-Watson: 3.075\nProb(Omnibus): 0.708 Jarque-Bera (JB): 0.145\nSkew: 0.294 Prob(JB): 0.930\nKurtosis: 2.698 Cond. No. 140.\n==================================================== ============================\n<\/span><\/span><\/strong><\/pre>\n
 \u1024\u1010\u1005\u103a\u1000\u103c\u102d\u1019\u103a\u1010\u103d\u1004\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u1019\u103e\u102c\u1038\u1021\u101a\u103d\u1004\u103a\u1038\u1019\u101b\u103e\u102d\u1018\u1032 \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1000\u102d\u102f \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u1005\u1031\u1014\u102d\u102f\u1004\u103a\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u1021\u101b\u1004\u103a\u1038\u1021\u1019\u103c\u1005\u103a\u1019\u103b\u102c\u1038<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a Python \u101b\u103e\u102d \u1021\u1001\u103c\u102c\u1038\u101e\u1031\u102c \u1018\u102f\u1036\u1021\u1019\u103e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1015\u103c\u1004\u103a\u1006\u1004\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n
 Pandas \u1010\u103d\u1004\u103a KeyError \u1000\u102d\u102f\u1018\u101a\u103a\u101c\u102d\u102f\u1015\u103c\u1004\u103a\u1019\u101c\u1032\u104b<\/a>
 \u1015\u103c\u1004\u103a\u1006\u1004\u103a\u1014\u100a\u103a\u1038- ValueError- float NaN \u1000\u102d\u102f int \u1021\u1016\u103c\u1005\u103a\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u104d\u1019\u101b\u1015\u102b\u104b<\/a>
 \u1015\u103c\u102f\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038- \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1021\u1019\u103e\u102c\u1038- Operands \u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u102f\u1036\u101e\u100f\u1039\u100d\u102c\u1014\u103a\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a \u1011\u102f\u1010\u103a\u101c\u103d\u103e\u1004\u1037\u103a\u104d\u1019\u101b\u1015\u102b\u104b<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Python \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u102c\u1010\u103d\u1004\u103a \u101e\u1004\u103a\u1000\u103c\u102f\u1036\u1010\u103d\u1031\u1037\u101b\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u1037\u103a \u1021\u1019\u103e\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u1019\u103e\u102c- ValueError : Pandas data cast to numpy dtype of object. Check input data with np.asarray(data). \u101e\u1004\u103a\u101e\u100a\u103a Python \u1010\u103d\u1004\u103a \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u1021\u1031\u102c\u1004\u103a \u1000\u103c\u102d\u102f\u1038\u1015\u1019\u103a\u1038\u1015\u103c\u102e\u1038 \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1014\u103e\u1004\u1037\u103a \u1021\u1036\u1000\u102d\u102f\u1000\u103a\u1019\u1016\u103c\u1005\u103a\u1019\u102e \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1000\u102d\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f dummy variable\u1019\u103b\u102c\u1038 \u1021\u1016\u103c\u1005\u103a\u101e\u102d\u102f\u1037 \u1019\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c\u1021\u1001\u102b\u1010\u103d\u1004\u103a \u1024\u1021\u1019\u103e\u102c\u1038\u1021\u101a\u103d\u1004\u103a\u1038 \u1016\u103c\u1005\u103a\u1015\u1031\u102b\u103a\u1015\u102b\u101e\u100a\u103a\u104b \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u101e\u100a\u103a \u1024\u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1015\u103c\u102f\u1015\u103c\u1004\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u1015\u103c\u1014\u103a\u1011\u102f\u1010\u103a\u1019\u101c\u1032\u104b \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b \u1015\u1014\u103a\u1012\u102b DataFrame \u101b\u103e\u102d\u101e\u100a\u103a \u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b import pandas as pd #createDataFrame df = […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"\n\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038- \u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u1000\u102d\u102f numpy \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101e\u100a\u103a\u104b \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1000\u102d\u102f np.asarray(data) \u1016\u103c\u1004\u1037\u103a \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b - \u1005\u102c\u101b\u1004\u103a\u1038\u1007\u101a\u102c\u1038<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b error \u1000\u102d\u102f \u1016\u103c\u1031\u101b\u103e\u1004\u103a\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a- pandas \u1012\u1031\u1010\u102c\u1000\u102d\u102f numpy \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1015\u102b\u101e\u100a\u103a\u104b \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1000\u102d\u102f np.asarray(data) \u1016\u103c\u1004\u1037\u103a \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/my\/\u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u101e\u100a\u103a-np-asarraydata-\u1016\u103c\u1004\u1037\u103a-\u1011\u100a\u1037\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038- \u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u1000\u102d\u102f numpy \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101e\u100a\u103a\u104b \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1000\u102d\u102f np.asarray(data) \u1016\u103c\u1004\u1037\u103a \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b - \u1005\u102c\u101b\u1004\u103a\u1038\u1007\u101a\u102c\u1038\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b error \u1000\u102d\u102f \u1016\u103c\u1031\u101b\u103e\u1004\u103a\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a- pandas \u1012\u1031\u1010\u102c\u1000\u102d\u102f numpy \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1015\u102b\u101e\u100a\u103a\u104b \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1000\u102d\u102f np.asarray(data) \u1016\u103c\u1004\u1037\u103a \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/my\/\u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u101e\u100a\u103a-np-asarraydata-\u1016\u103c\u1004\u1037\u103a-\u1011\u100a\u1037\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T08:36:27+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin Anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%9e%e1%80%8a%e1%80%ba-np-asarraydata-%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7%e1%80%ba-%e1%80%91%e1%80%8a%e1%80%b7\/\",\"url\":\"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%9e%e1%80%8a%e1%80%ba-np-asarraydata-%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7%e1%80%ba-%e1%80%91%e1%80%8a%e1%80%b7\/\",\"name\":\"\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038- \u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u1000\u102d\u102f numpy \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101e\u100a\u103a\u104b \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1000\u102d\u102f np.asarray(data) \u1016\u103c\u1004\u1037\u103a \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b - \u1005\u102c\u101b\u1004\u103a\u1038\u1007\u101a\u102c\u1038\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/my\/#website\"},\"datePublished\":\"2023-07-22T08:36:27+00:00\",\"dateModified\":\"2023-07-22T08:36:27+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/my\/#\/schema\/person\/e47470981684a202f7ed4c0cb1e10097\"},\"description\":\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b error \u1000\u102d\u102f \u1016\u103c\u1031\u101b\u103e\u1004\u103a\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a- pandas \u1012\u1031\u1010\u102c\u1000\u102d\u102f numpy \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1015\u102b\u101e\u100a\u103a\u104b \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1000\u102d\u102f np.asarray(data) \u1016\u103c\u1004\u1037\u103a \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%9e%e1%80%8a%e1%80%ba-np-asarraydata-%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7%e1%80%ba-%e1%80%91%e1%80%8a%e1%80%b7\/#breadcrumb\"},\"inLanguage\":\"my-MM\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%9e%e1%80%8a%e1%80%ba-np-asarraydata-%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7%e1%80%ba-%e1%80%91%e1%80%8a%e1%80%b7\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%9e%e1%80%8a%e1%80%ba-np-asarraydata-%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7%e1%80%ba-%e1%80%91%e1%80%8a%e1%80%b7\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u1021\u102d\u1019\u103a\",\"item\":\"https:\/\/statorials.org\/my\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038- \u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u1000\u102d\u102f numpy \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101e\u100a\u103a\u104b \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1000\u102d\u102f np.asarray(data) \u1016\u103c\u1004\u1037\u103a \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/my\/#website\",\"url\":\"https:\/\/statorials.org\/my\/\",\"name\":\"Statorials\",\"description\":\"\u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u101b\u100a\u103a\u1021\u1001\u103b\u1004\u103a\u1038\u1021\u1010\u103d\u1000\u103a \u101e\u1004\u1037\u103a\u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a\u1001\u103b\u1000\u103a\u104b\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/my\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"my-MM\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/my\/#\/schema\/person\/e47470981684a202f7ed4c0cb1e10097\",\"name\":\"Benjamin Anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"my-MM\",\"@id\":\"https:\/\/statorials.org\/my\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/my\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/my\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin Anderson\"},\"description\":\"\u1019\u1004\u103a\u1039\u1002\u101c\u102c\u1015\u102b\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u101e\u100a\u103a \u1021\u1004\u103c\u102d\u1019\u103a\u1038\u1005\u102c\u1038 \u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038 \u1015\u102b\u1019\u1031\u102c\u1000\u1039\u1001 \u1018\u1004\u103a\u1002\u103b\u1019\u1004\u103a\u1016\u103c\u1005\u103a\u1015\u103c\u102e\u1038 \u101e\u102e\u1038\u101e\u1014\u1037\u103a Statorials \u1006\u101b\u102c\u1021\u1016\u103c\u1005\u103a \u101c\u103e\u100a\u1037\u103a\u1015\u1010\u103a\u1015\u102b\u101e\u100a\u103a\u104b \u1005\u102c\u101b\u1004\u103a\u1038\u1007\u101a\u102c\u1038\u1014\u101a\u103a\u1015\u101a\u103a\u1010\u103d\u1004\u103a \u1000\u103b\u101a\u103a\u1015\u103c\u1014\u1037\u103a\u101e\u1031\u102c\u1021\u1010\u103d\u1031\u1037\u1021\u1000\u103c\u102f\u1036\u1014\u103e\u1004\u1037\u103a \u1000\u103b\u103d\u1019\u103a\u1038\u1000\u103b\u1004\u103a\u1019\u103e\u102f\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030\u104a Statorials \u1019\u103e\u1010\u1005\u103a\u1006\u1004\u1037\u103a \u1000\u103b\u1031\u102c\u1004\u103a\u1038\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1001\u103d\u1014\u103a\u1021\u102c\u1038\u1016\u103c\u1005\u103a\u1005\u1031\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u104f\u1021\u101e\u102d\u1015\u100a\u102c\u1000\u102d\u102f \u1019\u103b\u103e\u101d\u1031\u101c\u102d\u102f\u1015\u102b\u101e\u100a\u103a\u104b \u1015\u102d\u102f\u101e\u102d\u1010\u101a\u103a\u104b\",\"sameAs\":[\"https:\/\/statorials.org\/my\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038- \u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u1000\u102d\u102f numpy \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101e\u100a\u103a\u104b \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1000\u102d\u102f np.asarray(data) \u1016\u103c\u1004\u1037\u103a \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b - \u1005\u102c\u101b\u1004\u103a\u1038\u1007\u101a\u102c\u1038","description":"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b error \u1000\u102d\u102f \u1016\u103c\u1031\u101b\u103e\u1004\u103a\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a- pandas \u1012\u1031\u1010\u102c\u1000\u102d\u102f numpy \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1015\u102b\u101e\u100a\u103a\u104b \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1000\u102d\u102f np.asarray(data) \u1016\u103c\u1004\u1037\u103a \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/my\/\u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u101e\u100a\u103a-np-asarraydata-\u1016\u103c\u1004\u1037\u103a-\u1011\u100a\u1037\/","og_locale":"my_MM","og_type":"article","og_title":"\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038- \u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u1000\u102d\u102f numpy \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101e\u100a\u103a\u104b \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1000\u102d\u102f np.asarray(data) \u1016\u103c\u1004\u1037\u103a \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b - \u1005\u102c\u101b\u1004\u103a\u1038\u1007\u101a\u102c\u1038","og_description":"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b error \u1000\u102d\u102f \u1016\u103c\u1031\u101b\u103e\u1004\u103a\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a- pandas \u1012\u1031\u1010\u102c\u1000\u102d\u102f numpy \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1015\u102b\u101e\u100a\u103a\u104b \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1000\u102d\u102f np.asarray(data) \u1016\u103c\u1004\u1037\u103a \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b","og_url":"https:\/\/statorials.org\/my\/\u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u101e\u100a\u103a-np-asarraydata-\u1016\u103c\u1004\u1037\u103a-\u1011\u100a\u1037\/","og_site_name":"Statorials","article_published_time":"2023-07-22T08:36:27+00:00","author":"Benjamin Anderson","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Benjamin Anderson","Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%9e%e1%80%8a%e1%80%ba-np-asarraydata-%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7%e1%80%ba-%e1%80%91%e1%80%8a%e1%80%b7\/","url":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%9e%e1%80%8a%e1%80%ba-np-asarraydata-%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7%e1%80%ba-%e1%80%91%e1%80%8a%e1%80%b7\/","name":"\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038- \u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u1000\u102d\u102f numpy \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101e\u100a\u103a\u104b \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1000\u102d\u102f np.asarray(data) \u1016\u103c\u1004\u1037\u103a \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b - \u1005\u102c\u101b\u1004\u103a\u1038\u1007\u101a\u102c\u1038","isPartOf":{"@id":"https:\/\/statorials.org\/my\/#website"},"datePublished":"2023-07-22T08:36:27+00:00","dateModified":"2023-07-22T08:36:27+00:00","author":{"@id":"https:\/\/statorials.org\/my\/#\/schema\/person\/e47470981684a202f7ed4c0cb1e10097"},"description":"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b error \u1000\u102d\u102f \u1016\u103c\u1031\u101b\u103e\u1004\u103a\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a- pandas \u1012\u1031\u1010\u102c\u1000\u102d\u102f numpy \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1015\u102b\u101e\u100a\u103a\u104b \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1000\u102d\u102f np.asarray(data) \u1016\u103c\u1004\u1037\u103a \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b","breadcrumb":{"@id":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%9e%e1%80%8a%e1%80%ba-np-asarraydata-%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7%e1%80%ba-%e1%80%91%e1%80%8a%e1%80%b7\/#breadcrumb"},"inLanguage":"my-MM","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%9e%e1%80%8a%e1%80%ba-np-asarraydata-%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7%e1%80%ba-%e1%80%91%e1%80%8a%e1%80%b7\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%9e%e1%80%8a%e1%80%ba-np-asarraydata-%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7%e1%80%ba-%e1%80%91%e1%80%8a%e1%80%b7\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u1021\u102d\u1019\u103a","item":"https:\/\/statorials.org\/my\/"},{"@type":"ListItem","position":2,"name":"\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038- \u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u1000\u102d\u102f numpy \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101e\u100a\u103a\u104b \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1000\u102d\u102f np.asarray(data) \u1016\u103c\u1004\u1037\u103a \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/my\/#website","url":"https:\/\/statorials.org\/my\/","name":"Statorials","description":"\u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u101b\u100a\u103a\u1021\u1001\u103b\u1004\u103a\u1038\u1021\u1010\u103d\u1000\u103a \u101e\u1004\u1037\u103a\u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a\u1001\u103b\u1000\u103a\u104b","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/my\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"my-MM"},{"@type":"Person","@id":"https:\/\/statorials.org\/my\/#\/schema\/person\/e47470981684a202f7ed4c0cb1e10097","name":"Benjamin Anderson","image":{"@type":"ImageObject","inLanguage":"my-MM","@id":"https:\/\/statorials.org\/my\/#\/schema\/person\/image\/","url":"https:\/\/statorials.org\/my\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg","contentUrl":"https:\/\/statorials.org\/my\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg","caption":"Benjamin Anderson"},"description":"\u1019\u1004\u103a\u1039\u1002\u101c\u102c\u1015\u102b\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u101e\u100a\u103a \u1021\u1004\u103c\u102d\u1019\u103a\u1038\u1005\u102c\u1038 \u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038 \u1015\u102b\u1019\u1031\u102c\u1000\u1039\u1001 \u1018\u1004\u103a\u1002\u103b\u1019\u1004\u103a\u1016\u103c\u1005\u103a\u1015\u103c\u102e\u1038 \u101e\u102e\u1038\u101e\u1014\u1037\u103a Statorials \u1006\u101b\u102c\u1021\u1016\u103c\u1005\u103a \u101c\u103e\u100a\u1037\u103a\u1015\u1010\u103a\u1015\u102b\u101e\u100a\u103a\u104b \u1005\u102c\u101b\u1004\u103a\u1038\u1007\u101a\u102c\u1038\u1014\u101a\u103a\u1015\u101a\u103a\u1010\u103d\u1004\u103a \u1000\u103b\u101a\u103a\u1015\u103c\u1014\u1037\u103a\u101e\u1031\u102c\u1021\u1010\u103d\u1031\u1037\u1021\u1000\u103c\u102f\u1036\u1014\u103e\u1004\u1037\u103a \u1000\u103b\u103d\u1019\u103a\u1038\u1000\u103b\u1004\u103a\u1019\u103e\u102f\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030\u104a Statorials \u1019\u103e\u1010\u1005\u103a\u1006\u1004\u1037\u103a \u1000\u103b\u1031\u102c\u1004\u103a\u1038\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1001\u103d\u1014\u103a\u1021\u102c\u1038\u1016\u103c\u1005\u103a\u1005\u1031\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u104f\u1021\u101e\u102d\u1015\u100a\u102c\u1000\u102d\u102f \u1019\u103b\u103e\u101d\u1031\u101c\u102d\u102f\u1015\u102b\u101e\u100a\u103a\u104b \u1015\u102d\u102f\u101e\u102d\u1010\u101a\u103a\u104b","sameAs":["https:\/\/statorials.org\/my"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/posts\/2420"}],"collection":[{"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/comments?post=2420"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/posts\/2420\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/media?parent=2420"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/categories?post=2420"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/tags?post=2420"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
 \u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a<\/strong> – statsmodels \u1005\u102c\u1000\u103c\u100a\u1037\u103a\u1010\u102d\u102f\u1000\u103a\u1010\u103d\u1004\u103a ols()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1021\u1010\u103d\u1000\u103a \u1005\u102c\u101b\u103d\u1000\u103a\u1005\u102c\u1010\u1019\u103a\u1038\u1021\u1015\u103c\u100a\u1037\u103a\u1021\u1005\u102f\u1036\u1000\u102d\u102f \u1024\u1014\u1031\u101b\u102c\u1010\u103d\u1004\u103a<\/a> \u101b\u103e\u102c\u1010\u103d\u1031\u1037\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u101a\u1001\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1010\u102f\u1036\u1037\u1015\u103c\u1014\u103a\u1019\u103e\u102f\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1021\u1016\u103c\u1005\u103a \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1021\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u102f\u1036\u1037\u1015\u103c\u1014\u103a\u1019\u103e\u102f\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a<\/a> \u1021\u1016\u103c\u1005\u103a \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1015\u1031\u1038\u101e\u100a\u1037\u103a\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1021\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1019\u103b\u102c\u1038\u1005\u103d\u102c\u101e\u1031\u102c\u1019\u103b\u1009\u103a\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1000\u102d\u102f<\/a> \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u1021\u1031\u102c\u1004\u103a \u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n