I am trying to plot dates and values on a graph using matplotlib.
Below is the code. I can run this and it works great, until I get to
about 2000 rows from the DB. Things really start to slow down. I
have successfully plotted up to 5000 rows from the DB, but it is very
slow. I am attempting to plot values for a day, which would be equal
to 84600 records. Is there a more efficient may to accomplish this?
import os
import psycopg2
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import pylab
import dateutil
from datetime import datetime
conn = psycopg2.connect("dbname='db' user='user' password='somepass'
host='localhost'")
spo2_cur = conn.cursor()
sql = ("""SELECT System_Time, val1 FROM data WHERE DATE(System_Time)
='2009-01-07' AND Inst_Num='12345';""")
data_cur.execute(sql)
value_data = data_cur.fetchall()
data_cur.close()
conn.close()
num_rows = len(value_data)
print "There are",num_rows,"rows in the database"
datesFmt = mdates.DateFormatter('%H:%M')
plt.figure(figsize=(14,3))
for s in value_data:
dates = mdates.date2num([s[0]])
plt.plot([dates],[s[1]], 'bo', ms=6)
plt.ylim(60,100)
plt.axhline(y=90, linewidth=2, color='r')
ax1= plt.gca()
ax1.xaxis.set_major_formatter(datesFmt)
for label in ax1.xaxis.get_ticklabels():
label.set_color('black')
label.set_rotation(45)
label.set_fontsize(8)
for label in ax1.yaxis.get_ticklabels():
label.set_fontsize(8)
plt.show()
plt.close()
Any help would be great!
Thanks
B
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