Member Avatar for dumicom

Hi, is there a simple way to convert the xls file to txt file to fit my program's code.

import matplotlib.pyplot as plt

x = []
y = []
t = []

fig = plt.figure()
rect = fig.patch
rect.set_facecolor('#31312e')

**readFile = open('data.xls', 'r')
sepFile = readFile.read().split('\n')
readFile.close()**

for idx, plotPair in enumerate(sepFile):
    if plotPair in '. ':
       # skip. or space
       continue
    if idx > 1:  # to skip the first line
        xAndY = plotPair.split(',')
        time_string = xAndY[0]
        t.append(time_string)
        y.append(float(xAndY[1]))

ax1 = fig.add_subplot(1, 1, 1, axisbg='blue')
ax1.plot(t, y, 'c', linewidth=3.3)

plt.title('IRRADIANCE')
plt.xlabel('TIME')

plt.show()
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  • Latest Post Latest Post by Gribouillis
Member Avatar for Gribouillis

There are python modules to read xls files (such as xlrd). However in your case, it may be easier to convert the file to csv on the command line: if you have Libreoffice installed on your computer, you can use

soffice --headless --convert-to csv data.xls

in a terminal to convert data.xls into data.csv. (In windows, the options with -- may take a single dash -). Make sure there is no data.csv before running the command!

The conversion command line above can also be called from python if you want.

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