Пример #1
0
def save_data_to_file(config_data, data, override_outpath=None, override_ts=None):
    """
    Saves measured config_data to a csv file

    Parameters
    ----------
    config_data : dictionary
        The parameters from the config file.
    data : array
        The data that will be output to a file.
    override_outpath : string
        The path to which the file will be saved to. Optional. Default is saved in config directory
    override_ts : string
        String to replace timestamp in name. Optional. Defaults to leaving timestamp.
    Returns
    -------
        nothing

    """

    filename, export_path = get_output_params(
        config_data, override_ts=override_ts)
    if override_outpath:
        export_path = override_outpath
    list_data = list(data)
    df = pd.DataFrame(data=list_data,
                      columns=["Time(s)", "Voltage(V)", "Current(mA)"])
    with open(os.path.join(export_path, filename), mode="w", newline="\n") as f:
        df.to_csv(f, index=False, header=True)
Пример #2
0
def save_data_to_file(config_data,
                      data,
                      override_outpath=None,
                      override_ts=None):
    """
    Saves measured config_data to a csv file

    Parameters
    ----------
    data : array
        the config_data that will be saved
    filename : string
        the name of the file to save. Optional. Defaults to Place_Holder.csv
    """

    filename, export_path = get_output_params(config_data,
                                              override_ts=override_ts)
    if override_outpath:
        export_path = override_outpath
    list_data = list(data)
    df = pd.DataFrame(data=list_data,
                      columns=["Time(s)", "Voltage(V)", "Current(mA)"])
    with open(os.path.join(export_path, filename), mode="w",
              newline="\n") as f:
        df.to_csv(f, index=False, header=True)
Пример #3
0
        export_path = override_outpath
    list_data = list(data)
    df = pd.DataFrame(data=list_data,
                      columns=["Time(s)", "Voltage(V)", "Current(mA)"])
    with open(os.path.join(export_path, filename), mode="w", newline="\n") as f:
        df.to_csv(f, index=False, header=True)


if __name__ == "__main__":
    # used for debugging.  Does the function write the right file?
    #
    config_data = {"general_parameters": {"experiment_type": "", "rest_time": "",
                                          "step_number": "", "data_output_filename": "",
                                          "data_output_path": ""},
                   "linear_sweep_voltammetry": {"start_voltage": "", "end_voltage": "",
                                                "sweep_rate": ""},
                   "cyclic_voltammetry": {"start_voltage": "", "first_turnover_voltage": "",
                                          "second_turnover_voltage": "", "sweep_rate": "",
                                          "number_of_cycles": ""},
                   "chronoamperometry": {"voltage": "", "time": ""},
                   "advanced_parameters": {"conversion_factor": "", "setpoint_gain": "",
                                           "setpoint_offset": "", "shunt_resistor": "",
                                           "time_step": "", "average_number": ""}}

    filename, export_destination = get_output_params(
        config_data)

    save_data_to_file(config_data, [[1, 1, 1], [2, 2, 2]])
    o = open(filename, "r")
    print(o.read())