Ejemplo n.º 1
0
 def load_tabs(self):
     for major_key in database.read_stability_specifications().keys():
         for key in database.read_stability_specifications(
         )[major_key].keys():
             self.asbTabs.addTab(
                 table_tab(type_=sandbox_data,
                           major_key=major_key,
                           name=key), key)
     for major_key in database.read_datcom_stability_specifications().keys(
     ):
         for key in database.read_datcom_stability_specifications(
         )[major_key].keys():
             self.datcomTabs.addTab(
                 table_tab(type_=datcom_data, major_key=major_key,
                           name=key), key)
def read_sandbox_table_data(type_="", major_key="", key=""):
    if type_ == datcom_data:
        values = database.read_datcom_stability_specifications()[major_key]
    else:
        values = database.read_stability_specifications()[major_key]
    val = values.get(key)
    x_label = alpha
    alpha_ = get_aoa_range()
    velocity_ = get_free_stream_velocity_range()
    y = val

    return alpha_, velocity_, y
def get_pandas_sandbox_table(type_="", major_key="", name=""):
    if type_ == datcom_data:
        values = database.read_datcom_stability_specifications()[major_key]
    else:
        values = database.read_stability_specifications()[major_key]

    y = values.get(name)
    value = {}
    for vel, y_ in zip(get_free_stream_velocity_range(), y):
        value.update({vel: {alpha: get_aoa_range(), name: y_}})
    df = pd.DataFrame(value)
    return df.to_string()
def read_datcom_table_data(type_="", major_key="", key=""):
    if type_ == datcom_data:
        values = database.read_datcom_stability_specifications()[major_key]
    else:
        values = database.read_stability_specifications()[major_key]
    val = values.get(key)
    x_label = alpha
    alpha_ = get_aoa_range()
    velocity_ = get_free_stream_velocity_range()
    for i in val:
        if i == "NDM":
            val[val.index(i)] = 0
    return alpha_, velocity_, val
def exportValues():
    output = ""
    for major_key in database.read_datcom_stability_specifications().keys():
        for key in database.read_datcom_stability_specifications(
        )[major_key].keys():
            alpha_, velocity_, y = read_datcom_table_data(type_=datcom_data,
                                                          major_key=major_key,
                                                          key=key)
            try:
                value = y[alpha_.index(0)]
            except:
                value = 0
            output = output + f"{key}:{value},"
    for key, value in database.read_propulsion_specifications(
    )["propulsion_dialogs"].items():
        output = output + f"{key}:{value},"
    for key, value in database.read_structures_specifications().items():
        try:
            for k, v in value.items():
                output = output + f"{k}:{v},"
        except:
            output = output + f"{key}:{value},"
    writeTxt(sim_export_txt_dir, output)
def get_pandas_datcom_table(type_="", major_key="", name=""):
    if type_ == datcom_data:
        values = database.read_datcom_stability_specifications()[major_key]
    else:
        values = database.read_stability_specifications()[major_key]
    val = values.get(name)
    y = []
    j_y = []
    prev = 0
    for i in range(9, len(val) + 1, 9):
        y.append(val[prev:i:1])
        prev = i
    for i in y:
        try:
            j_y.append(i[0])
        except:
            pass

    value = {}
    for vel, y_ in zip(get_free_stream_velocity_range(), y):
        value.update({vel: {alpha: get_aoa_range(), name: y_}})
    df = pd.DataFrame(value)
    return df.to_string()