The requirement is to generate a csv file where each column is a data of sinusoidal wave of frequency 1 Hz,2 Hz, 3Hz, 4Hz, 5Hz, 6Hz, 7Hz. Thus total 7 columns.
100 wave points for 1Hertz and thus total 100 x 7= 700 points.
Can anyone explain how to code for this requirement
You can try this. Here,
Please refer this link for further useful details regarding sine waves in Python
import numpy as np
import pandas as pd
def get_values_for_frequency(freq):
# sampling rate
sr = 100.0
# sampling interval
ts = 1.0/sr
t = np.arange(0,1,ts)
# frequency of the signal
freq = 5
y = np.sin(2*np.pi*freq*t)
return y
df = pd.DataFrame(columns =['1Hz','2Hz', '3Hz', '4Hz', '5Hz', '6Hz', '7Hz'])
df['1Hz']=pd.Series(get_values_for_frequency(1))
df['2Hz']=pd.Series(get_values_for_frequency(2))
df['3Hz']=pd.Series(get_values_for_frequency(3))
df['4Hz']=pd.Series(get_values_for_frequency(4))
df['5Hz']=pd.Series(get_values_for_frequency(5))
df['6Hz']=pd.Series(get_values_for_frequency(6))
df['7Hz']=pd.Series(get_values_for_frequency(7))
df.to_csv('sine.csv', index=False)
Sample output from generated csv file: