helper_functions module¶
Created on Thu Mar 18 14:30:11 2021
@author: patrizia
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helper_functions.filter_data(data: pandas.core.frame.DataFrame, min_variance: float)¶ Filter data by variance.
All columns of the data which have a variance smaller than a defined minimum variance will be discarded.
- Parameters
(DataFrame) (data) –
min_variance (condition for filtering the data) –
- Returns
DataFrame
- Return type
filterd_data
stat_methods module¶
Created on Mon Mar 22 12:23:41 2021
@author: patrizia
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stat_methods.calc_pairwise_corr(data: pandas.core.frame.DataFrame)¶ Calculating the correlation between each columns
- Parameters
data (DataFrame) – Data
- Returns
corr_list
- Return type
DataFrame
num_methods module¶
Created on Mon Mar 24 17:12:17 2021
@author: florian
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num_methods.acf(signal: pandas.core.series.Series)¶ Calculating the (quasi) Autocorrelation Function of a series
- Returns
auto_corr
- Return type
int, float, complex, ..
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num_methods.dft(signal: pandas.core.series.Series, times: pandas.core.series.Series)¶ Calculating the Direct Fourier Transform of a series and the corresponding frequencies from its time stamps
- Parameters
signal (pandas.Series) – Signal
times (pandas.Series) – Time stamps of signal
- Returns
DFT
- Return type
pandas.DataFrame