Python read csv data - Revision history

Mol: /* Numpy 1 */

2025-03-29T21:16:03Z

Numpy 1

← Older revision		Revision as of 00:16, 30 March 2025
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	== Numpy 1 ==		== Numpy 1 ==

			The simplest method?

			<syntaxhighlight lang="python">
			import numpy as np

			data = np.genfromtxt('filename_gps.csv', delimiter=",")
			</syntaxhighlight>

	== Numpy ==		== Numpy ==

2025-03-29T21:15:16Z

Introduction

2025-01-13T16:31:03Z

Numpy

← Older revision		Revision as of 19:31, 13 January 2025
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	== Numpy ==		== Numpy ==

			Datafile: [[File:Co2_data1.csv\|Co2_data1.csv]]

	[[File:Read csv.png\|thumb]]		[[File:Read csv.png\|thumb]]

2025-01-13T16:29:46Z

Numpy

← Older revision		Revision as of 19:29, 13 January 2025
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	== Numpy ==		== Numpy ==

			[[File:Read csv.png\|thumb]]

	<syntaxhighlight lang="python">		<syntaxhighlight lang="python">

2025-01-13T16:27:31Z

Plot the data

← Older revision		Revision as of 19:27, 13 January 2025
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	== Plot the data ==		== Plot the data ==

			<syntaxhighlight lang="python">
			# Muuta sekunnit tunneiksi
			data[:,0] = data[:,0]/60/60 + 16

			# Tulostus
			#
			ax1 = plt.subplot(311)
			ax1.plot(data[:,0], data[:,1])
			ax1.set_xlabel('Aika [s]')
			ax1.set_ylabel('Lampot')
			#Piirrä tunnin alku ja loppuaika
			ax1.plot( [ 16.02, 16.02], [10, 30], 'r' )
			ax1.plot( [ 16.12, 16.12], [10, 30], 'r' )
			ax1.text(16.05, 25, "Matikka", fontsize=12)
			ax1.set_ylim([20, 30])

			ax2 = plt.subplot(312)
			ax2.plot(data[:,0], data[:,2])
			ax2.set_xlabel('Aika [s]')
			ax2.set_ylabel('Ilmankosteus')

			ax3 = plt.subplot(313)
			ax3.plot(data[:,0], data[:,3])
			ax3.set_xlabel('Aika [s]')
			ax3.set_ylabel('CO2')

			plt.show() # display
			</syntaxhighlight>

			== More fun ==

2025-01-13T16:26:30Z

Numpy

← Older revision		Revision as of 19:26, 13 January 2025
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	== Numpy ==		== Numpy ==

			<syntaxhighlight lang="python">
			import csv
			import matplotlib.pyplot as plt
			import numpy as np

			datalist = []
			with open('co2_data1.csv', mode ='r')as file:
			csvFile = csv.reader(file)
			for line in csvFile:
			t = float( line[0])
			T = float( line[1])
			h = float( line[2])
			CO2 = float( line[3])
			datalist.append( [t, T, h, CO2] )
			data = np.array( datalist)
			</syntaxhighlight>

			== Plot the data ==

2025-01-13T16:25:51Z

Created page with "== Introduction == Read csv data into python == Numpy =="

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== Introduction ==

Read csv data into python

== Numpy ==