Fourier¶

In [1]:

import numpy as np
import matplotlib.pyplot as plt

N = 1000
T = 0.01
x = np.linspace(0.0, N*T, N)
y = np.where(abs(x)<=0.5, 1, 0) # Rectangular function
plt.plot(x, y);

import numpy as np import matplotlib.pyplot as plt N = 1000 T = 0.01 x = np.linspace(0.0, N*T, N) y = np.where(abs(x)<=0.5, 1, 0) # Rectangular function plt.plot(x, y);

In [2]:

yf = np.fft.fft(y)
xf = np.linspace(0.0, 1.0/(2.0*T), N//2)

plt.plot(xf, 2.0/N * yf[:N//2].real);

yf = np.fft.fft(y) xf = np.linspace(0.0, 1.0/(2.0*T), N//2) plt.plot(xf, 2.0/N * yf[:N//2].real);

Write XLSX¶

In [3]:

# You could read a real CSV file instead
csv_lines = ['a;b;c;d\n', '1;2;3;4\n', '5;6;7;8\n']

# You could read a real CSV file instead csv_lines = ['a;b;c;d\n', '1;2;3;4\n', '5;6;7;8\n']

In [4]:

import xlsxwriter

workbook  = xlsxwriter.Workbook('filename.xlsx')
worksheet = workbook.add_worksheet()

i = 0 # line number
for line in csv_lines:
    date, time, gh, ta = line.replace('\n', '').split(';')
    worksheet.write(i, 0, date)
    worksheet.write(i, 1, time)
    worksheet.write(i, 2, gh)
    worksheet.write(i, 3, ta)
    i += 1

workbook.close()

import xlsxwriter workbook = xlsxwriter.Workbook('filename.xlsx') worksheet = workbook.add_worksheet() i = 0 # line number for line in csv_lines: date, time, gh, ta = line.replace('\n', '').split(';') worksheet.write(i, 0, date) worksheet.write(i, 1, time) worksheet.write(i, 2, gh) worksheet.write(i, 3, ta) i += 1 workbook.close()

Read XLSX¶

In [5]:

import pandas as pd

import pandas as pd

In [6]:

pd.read_excel('filename.xlsx')

pd.read_excel('filename.xlsx')

Out[6]:

	a	b	c	d
0	1	2	3	4
1	5	6	7	8

Remove file¶

BE VERY CAREFUL!

In [ ]:

import os

import os

In [ ]:

os.remove('filename.xlsx')

os.remove('filename.xlsx')