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Merge branch 'william_branch'
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BrianWeiHaoMa committed Nov 16, 2024
2 parents 433adb2 + 43a4793 commit 0a36528
Showing 1 changed file with 37 additions and 0 deletions.
37 changes: 37 additions & 0 deletions MISOReports/test_MISOReports.py
Original file line number Diff line number Diff line change
Expand Up @@ -1613,6 +1613,43 @@ def test_get_df_single_df_correct_columns(report_name, columns_mapping, datetime
},
}
),
(
"sr_gfm",
{
"RT Generation Fuel Mix Central": {
("Coal", "Gas", "Nuclear", "Hydro", "Wind", "Solar", "Other", "Storage", "Total MW",): numpy.dtypes.Float64DType,
("Market Hour Ending",): pandas.core.arrays.string_.StringDtype,
},
"RT Generation Fuel Mix North": {
("Coal", "Gas", "Nuclear", "Hydro", "Wind", "Solar", "Other", "Storage", "Total MW",): numpy.dtypes.Float64DType,
("Market Hour Ending",): pandas.core.arrays.string_.StringDtype,
},
"RT Generation Fuel Mix South": {
("Coal", "Gas", "Nuclear", "Hydro", "Wind", "Solar", "Other", "Total MW",): numpy.dtypes.Float64DType,
("Market Hour Ending",): pandas.core.arrays.string_.StringDtype,
},
"RT Generation Fuel Mix Totals": {
("Coal", "Gas", "Nuclear", "Hydro", "Wind", "Solar", "Other", "Storage", "MISO",): numpy.dtypes.Float64DType,
("Market Hour Ending",): pandas.core.arrays.string_.StringDtype,
},
"DA Cleared Generation Fuel Mix Central": {
("Coal", "Gas", "Nuclear", "Hydro", "Wind", "Solar", "Other", "Storage", "Total MW",): numpy.dtypes.Float64DType,
("Market Hour Ending",): pandas.core.arrays.string_.StringDtype,
},
"DA Cleared Generation Fuel Mix North": {
("Coal", "Gas", "Nuclear", "Hydro", "Wind", "Solar", "Other", "Storage", "Total MW",): numpy.dtypes.Float64DType,
("Market Hour Ending",): pandas.core.arrays.string_.StringDtype,
},
"DA Cleared Generation Fuel Mix South": {
("Coal", "Gas", "Nuclear", "Hydro", "Wind", "Solar", "Other", "Total MW",): numpy.dtypes.Float64DType,
("Market Hour Ending",): pandas.core.arrays.string_.StringDtype,
},
"DA Cleared Generation Fuel Mix Totals": {
("Coal", "Gas", "Nuclear", "Hydro", "Wind", "Solar", "Other", "Storage", "MISO",): numpy.dtypes.Float64DType,
("Market Hour Ending",): pandas.core.arrays.string_.StringDtype,
},
}
),
]


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