S update cross sectional did #337
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add n_ids for did_binary obj
… palette handling
Update DoubleML __str__ method
…ldata-class' into s-update-cross-sectional-did
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| dml_panel_data = dml.data.DoubleMLPanelData( | ||
| df, y_col="y", d_cols="d", id_col="id", t_col="t", x_cols=["Z1", "Z2", "Z3", "Z4"] | ||
| ) | ||
| obj_dml_data = dml.DoubleMLData(df, y_col="y", d_cols="d", t_col="t", x_cols=["Z1", "Z2", "Z3", "Z4"]) |
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Wrong name for an argument in a class instantiation Error test
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AI 5 months ago
To fix the issue, we need to remove the unsupported t_col argument from the instantiation of the DoubleMLData class on line 66. The DoubleMLData class does not require t_col as a parameter, so the correct approach is to exclude it while ensuring the other arguments (df, y_col, d_cols, and x_cols) remain unchanged. This fix will prevent the TypeError at runtime and align the code with the expected parameters of the DoubleMLData class.
| @@ -65,3 +65,3 @@ | ||
| ) | ||
| obj_dml_data = dml.DoubleMLData(df, y_col="y", d_cols="d", t_col="t", x_cols=["Z1", "Z2", "Z3", "Z4"]) | ||
| obj_dml_data = dml.DoubleMLData(df, y_col="y", d_cols="d", x_cols=["Z1", "Z2", "Z3", "Z4"]) | ||
|
|
| dml_data = dml.data.DoubleMLData( | ||
| df_subset, y_col="y", d_cols="G_indicator", x_cols=["Z1", "Z2", "Z3", "Z4"], t_col="t_indicator" | ||
| ) |
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Wrong name for an argument in a class instantiation Error test
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AI 5 months ago
To fix the issue, we need to verify the correct parameter name for the DoubleMLData class's __init__ method. If t_col is not a valid parameter, we should replace it with the correct name or remove it if it is unnecessary. Based on the context, t_col might have been intended to specify a column related to time or treatment indicators, so we should check the documentation or source code for the correct parameter name.
Steps to fix:
- Identify the correct parameter name for the intended functionality (e.g., specifying a column related to time or treatment indicators).
- Replace
t_colwith the correct parameter name in the instantiation ofDoubleMLDataon line 79. - Ensure that the replacement does not affect the functionality of the code.
| @@ -79,3 +79,3 @@ | ||
| dml_data = dml.data.DoubleMLData( | ||
| df_subset, y_col="y", d_cols="G_indicator", x_cols=["Z1", "Z2", "Z3", "Z4"], t_col="t_indicator" | ||
| df_subset, y_col="y", d_cols="G_indicator", x_cols=["Z1", "Z2", "Z3", "Z4"], time_col="t_indicator" | ||
| ) |
| dml_panel_data = dml.data.DoubleMLPanelData( | ||
| df, y_col="y", d_cols="d", id_col="id", t_col="t", x_cols=["Z1", "Z2", "Z3", "Z4"] | ||
| ) | ||
| obj_dml_data = dml.DoubleMLData(df, y_col="y", d_cols="d", t_col="t", x_cols=["Z1", "Z2", "Z3", "Z4"]) |
Check failure
Code scanning / CodeQL
Wrong name for an argument in a class instantiation Error test
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Hide autofix suggestion
Copilot Autofix
AI 5 months ago
To fix the issue, we need to remove the unsupported t_col parameter from the instantiation of the DoubleMLData class on line 58. The DoubleMLData class does not accept t_col as a parameter, so it should be omitted. The other parameters (df, y_col, d_cols, and x_cols) should remain unchanged, as they are valid and necessary for the class instantiation.
| @@ -57,3 +57,3 @@ | ||
| ) | ||
| obj_dml_data = dml.DoubleMLData(df, y_col="y", d_cols="d", t_col="t", x_cols=["Z1", "Z2", "Z3", "Z4"]) | ||
| obj_dml_data = dml.DoubleMLData(df, y_col="y", d_cols="d", x_cols=["Z1", "Z2", "Z3", "Z4"]) | ||
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JanTeichertKluge
merged commit 5056151
into
305-feature-request-integrate-clusters-into-the-doublemldata-class
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