Update(blocks): python新增一些pandas图形块,多语言将在稳定后进行
新增pandas API如下: 1. 值排序: sort_values() 2. 获取前 / 后n行数据: head() / tail() 3. 根据所给条件筛选数据 4. 通过给定标签分组: groupby() 5. 常用聚合函数
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@@ -2457,11 +2457,11 @@
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@@ -2472,61 +2472,61 @@
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<field name="VAR">value</field>
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<shadow type="variables_get">
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<field name="VAR">value</field>
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<field name="INPLACE">False</field>
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@@ -2578,9 +2578,9 @@
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@@ -2618,9 +2618,9 @@
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@@ -2637,14 +2637,14 @@
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@@ -2835,6 +2835,95 @@
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@@ -3225,342 +3314,342 @@
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<shadow type="math_number">
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<shadow type="math_number">
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<shadow type="math_number">
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<field name="NUM">100</field>
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<value name="n_informative">
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<shadow type="math_number">
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<field name="NUM">10</field>
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<shadow type="math_number">
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<value name="n_features">
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<shadow type="math_number">
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<field name="NUM">2</field>
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<value name="centers">
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<shadow type="logic_null"></shadow>
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</value>
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||||
<value name="cluster_std">
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<shadow type="math_number">
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<field name="NUM">1.0</field>
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<block type="tuple_create_with_text_return">
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<field name="TEXT">-10.0,10.0</field>
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<shadow type="logic_boolean">
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<shadow type="logic_null"></shadow>
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<field name="NUM">2</field>
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<shadow type="logic_null"></shadow>
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<shadow type="math_number">
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<field name="VAR">iris</field>
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<block type="sklearn_train_test_split">
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<shadow type="variables_get">
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<shadow type="variables_get">
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<shadow type="math_number">
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<field name="NUM">0.3</field>
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<value name="rondom_state">
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<shadow type="logic_null"></shadow>
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<value name="train_data">
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<shadow type="variables_get">
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<field name="VAR">iris_X</field>
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<shadow type="variables_get">
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<field name="VAR">iris_y</field>
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<shadow type="math_number">
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<field name="NUM">0.3</field>
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<value name="rondom_state">
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<shadow type="logic_null"></shadow>
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||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="fit_intercept">
|
||||
<shadow type="logic_boolean">
|
||||
<field name="BOOL">TRUE</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="normalize">
|
||||
<shadow type="logic_boolean">
|
||||
<field name="BOOL">FALSE</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="n_jobs">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="fit_intercept">
|
||||
<shadow type="logic_boolean">
|
||||
<field name="BOOL">TRUE</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="normalize">
|
||||
<shadow type="logic_boolean">
|
||||
<field name="BOOL">FALSE</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="n_jobs">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_Ridge">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="alpha">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">1.0</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="fit_intercept">
|
||||
<shadow type="logic_boolean">
|
||||
<field name="BOOL">TRUE</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="normalize">
|
||||
<shadow type="logic_boolean">
|
||||
<field name="BOOL">FALSE</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="max_iter">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">300</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="random_state">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="alpha">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">1.0</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="fit_intercept">
|
||||
<shadow type="logic_boolean">
|
||||
<field name="BOOL">TRUE</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="normalize">
|
||||
<shadow type="logic_boolean">
|
||||
<field name="BOOL">FALSE</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="max_iter">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">300</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="random_state">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_DecisionTreeClassifier_Regressor">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="max_depth">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="random_state">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="max_depth">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="random_state">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_RandomForestClassifier_Regressor">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="n_estimators">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">100</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="max_depth">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="n_jobs">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="random_state">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="n_estimators">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">100</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="max_depth">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="n_jobs">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="random_state">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_KNeighborsClassifier_Regressor">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="K">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">5</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="n_jobs">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="K">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">5</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="n_jobs">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_GaussianNB">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_KMeans">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="n_clusters">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">8</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="max_iter">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">300</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="random_state">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="n_jobs">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="n_clusters">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">8</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="max_iter">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">300</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="random_state">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="n_jobs">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_fit">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="train_data">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">X_train</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="train_target">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">y_train</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="train_data">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">X_train</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="train_target">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">y_train</field>
|
||||
</shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_score">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="train_data">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">X_test</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="train_target">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">y_test</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="train_data">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">X_test</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="train_target">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">y_test</field>
|
||||
</shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_predict">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="train_data">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">X_test</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="train_data">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">X_test</field>
|
||||
</shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_coef_intercept">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_cluster_centers_labels_inertia">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_save_load_model">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="address">
|
||||
<shadow type="text">
|
||||
<field name="TEXT">D:/mixly/test.pkl</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="address">
|
||||
<shadow type="text">
|
||||
<field name="TEXT">D:/mixly/test.pkl</field>
|
||||
</shadow>
|
||||
</value>
|
||||
</block>
|
||||
</category>
|
||||
</category>
|
||||
</xml>
|
||||
Reference in New Issue
Block a user