[Mne_analysis] Problem for creating a raw object

[VENKATA PHANIKRISHNA B]

        External Email - Use Caution        

In MNE is to possible to create a raw object with one sensor data. Means I
have 30sec epochs single channel EEG data in the .csv file. For further
analysis on MNE, I try to convert that file to MNE understandable  formate
with the help of following code

# loading 30-sec epoch single channel EEG data
mydataset=pd.read_csv("EEG_30sec.csv")
[rc, cc]=mydataset.shape;    #output is 1, 3000
data =mydataset.iloc[1,:].values   #converting in to NP array

# Initialize an info structure
info = mne.create_info(
    ch_names=['EEG1'],
    ch_types=['eeg'],
    sfreq=100
)
custom_raw = mne.io.RawArray(data, info)
print(custom_raw)

I am getting the following error message.
 raise ValueError('Data must be a 2D array of shape (n_channels, '
ValueError: Data must be a 2D array of shape (n_channels, n_samples

-- 
************************
thanks


*VENKATA PHANIKRISHNA B*
9908261261
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