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https://github.com/Relintai/pandemonium_engine_easy_charts.git
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update asserts
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514f42d29f
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@ -315,6 +315,8 @@ func _slice():
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y_data.pop_front()
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func update_functions(new_x, new_y : Array, param_dic : = {}) :
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assert(new_y.size() == y_labels.size(),
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"new values array size (%s) must match Labels size (%s)"%[new_y.size(), y_labels.size()])
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_slice()
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x_values.append(new_x)
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@ -328,16 +330,13 @@ func update_functions(new_x, new_y : Array, param_dic : = {}) :
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func update_function(id: String, new_x, new_y, param_dic := {}) -> void:
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_slice()
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if only_disp_values.x < x_values[0].size():
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x_values.pop_front()
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x_values.append(new_x)
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var function = y_labels.find(id)
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if function == -1: #Not found
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ECUtilities._print_message("The identifier %s does not exist." % id,1)
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return
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_slice()
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for y_data_i in range(0, y_datas.size()):
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if y_data_i == function: y_datas[y_data_i].append(new_y)
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else: y_datas[y_data_i].append(y_datas[y_data_i][y_datas[y_data_i].size()-1])
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@ -31,13 +31,13 @@ func build_dataset(data : Array, headers : PoolStringArray, labels : PoolStringA
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return dataset
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func insert_column(column : Array, header : String = "", index : int = dataset[0].size() - 1) -> void:
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assert(column.size() == datamatrix.rows() if not datamatrix.empty() else labels.size(), "error: the column size must match the dataset column size")
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assert(column.size() == (datamatrix.rows() if not datamatrix.empty() else labels.size()), "error: the column size must match the dataset column size")
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headers.insert(index, header if header != "" else MatrixGenerator.get_letter_index(index))
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datamatrix.insert_column(column, index)
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dataset = build_dataset_from_matrix(datamatrix, headers, labels)
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func insert_row(row : Array, label : String = "", index : int = dataset.size() - 1) -> PoolStringArray:
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assert(row.size() == datamatrix.columns() if not datamatrix.empty() else headers.size(), "error: the row size must match the dataset row size")
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assert(row.size() == (datamatrix.columns() if not datamatrix.empty() else headers.size()), "error: the row size must match the dataset row size")
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labels.insert(index, label if label != "" else str(index))
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datamatrix.insert_row(row, index)
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dataset = build_dataset_from_matrix(datamatrix, headers, labels)
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