"BrainFlowError: unable to prepare streaming session"

nejemia

Hello !
I just started to test Brainflow Python API.
Trying to run the get data from board with my Cyton and its WiFi shield.
See the results.
Am I missing something?
Thanks a lot !
nelson

wjcroft

Best support for Brainflow is on the Slack, join here,

https://brainflow.ai/

William

Wss

Today,i meet the same question,Is there a solution? thank you very much.

retiutut

There are required arguments for certain types of boards. This error states that this requirement is not met.

Wss

@retiutut said:
There are required arguments for certain types of boards. This error states that this requirement is not met.

Thank you very much! Because of my Poor programming ability ,i still can't do that well.my hardware is cyton daisy ,How should I configure it ? there are some code sample from BrainFlow

import argparse
import time
import numpy as np
import pandas as pd

import brainflow
from brainflow.board_shim import BoardShim, BrainFlowInputParams, LogLevels, BoardIds
from brainflow.data_filter import DataFilter, FilterTypes, AggOperations

def main():
    BoardShim.enable_dev_board_logger()

    # use my board for demo
    params = BrainFlowInputParams()
    board = BoardShim(BoardIds.CYTON_DAISY_BOARD.value, params)
    **board.prepare_session()**     # some question
    board.start_stream()
    BoardShim.log_message(LogLevels.LEVEL_INFO.value, 'start sleeping in the main thread')
    time.sleep(10)
    data = board.get_current_board_data(20)  # get 20 latest data points dont remove them from internal buffer
    board.stop_stream()
    board.release_session()

    # demo how to convert it to pandas DF and plot data
    eeg_channels = BoardShim.get_eeg_channels(BoardIds.CYTON_DAISY_BOARD.value)
    df = pd.DataFrame(np.transpose(data))
    print('Data From the Board')
    print(df.head(10))

    # demo for data serialization using brainflow API, we recommend to use it instead pandas.to_csv()
    DataFilter.write_file(data, 'test.csv', 'w')  # use 'a' for append mode
    restored_data = DataFilter.read_file('test.csv')
    restored_df = pd.DataFrame(np.transpose(restored_data))
    print('Data From the File')
    print(restored_df.head(10))

if __name__ == "__main__":
    main()

lastly,do I need to do some setup in the GUI firstly?