In my script I have df[‘Time’] as shown below.
497 2017-08-06 11:00:00 548 2017-08-08 15:00:00 580 2017-08-10 04:00:00 646 2017-08-12 23:00:00 Name: Time, dtype: datetime64[ns]
But when i do
I get an error like this :
Do I need any type conversion here, if yes then how it can be fixed?
You’re looking for
df['Time'] would’ve worked if your series had an index beginning from
And if need scalar only use
def get_time_slice(full_matrix, start = 0., period = 1.): """ Returns a slice of the given matrix, where start is the offset and period is used to specify the length of the signal. Parameters: full_matrix (numpy.ndarray): matrix returned by matrix_from_csv() start (float): start point (in seconds after the beginning of records) period (float): duration of the slice to be extracted (in seconds) Returns: numpy.ndarray: 2D matrix with the desired slice of the matrix float: actual length of the resulting time slice Author: Original: [lmanso] I have also error clear to me anyone Reimplemented: [fcampelo] """ # Changed for greater efficiency [fcampelo] rstart = full_matrix[0: 0] + start index_0 = np.max(np.where(full_matrix[: 0] <= rstart)) index_1 = np.max(np.where(full_matrix[: 0] <= rstart + period)) duration = full_matrix[index_1, 0] - full_matrix[index_0, 0] return full_matrix[index_0:index_1, :],
In my case, since I had dropped the first row (which contained indexed headers):
Passing an index of
0 would fail:
df.iloc >>> KeyError: 0
Add this to the end of the Dataframe you are indexing / slicing: