[Matplotlib-users] Ensure vertical lines start from x-axis
I'm trying to have the points start from the x-axis (similar to a histogram)
and draw lines upwards. I've attached an image of the program output, as you
can see - there are no red lines from 0-200 on the y-axis. Any ideas how to
start them from zero?
http://www.nabble.com/file/p23707480/image.png
Sample value from list entry for time[]
693596.03
Sample value from list entry for latency[]
1043
#
Sample Code
#
def plot_graph():
# Plotting the graph
plt.plot(time[5300:],latency[5300:], 'r-', linewidth=0.15)
# Define the axes
y_label = [0, 200, 400, 600, 800, 1000, 1200]
plt.axes().set_xlim(xmin=datetime.datetime(1900,1,1,0,0,0,0),
xmax=time[-1])
plt.axes().set_ylim(ymin=0, ymax=1400)
plt.axes().set_xticklabels(time, fontdict=None, minor=False, size=10)
plt.axes().set_yticklabels(y_label, fontdict=None, minor=False, size=10)
# Labeling the graph
ax = p.subplot(111)
ax.xaxis.set_major_locator(MaxNLocator(7))
plt.gca().xaxis.set_major_formatter(DateFormatter('%M:%S'))
plt.xlabel(x_axis)
plt.ylabel(y_axis)
plt.title(title)
# Grid
plt.grid(True)
plt.grid(alpha=0.1, color='black', linestyle='-', linewidth=0.1)
plt.savefig(figure)
# plot the graph
plot_graph()
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[Matplotlib-users] Issues with time display
Hi,
I've managed to take the contents of my CSV file and display it with
matplotlib. I'm having some issues with the way my X-axis is being
displayed.
For the X-axis, I pass in a list that filled with datetime objects, an
example of one element on the list:
datetime.datetime(2007, 12, 17, 20, 28, 15),
Issues (please see the attached cpu.png:
- for some reason a TZ has been inserted
- graphs have white space buffers on either side of the X-axix
- points on X-axis are separated by the hour, instead of values in datetime
object
I have tried many variations of plotdate, etc. If someone could please point
me in the right direction.
Thanks
=
Code http://www.nabble.com/file/p21958283/cpu.png
=
#!/usr/bin/env python
import csv
import sys
import matplotlib.pyplot as plt
import datetime
new_list = []
time = []
cpu = []
fileReader = csv.reader(open(sample.csv, rb))
for row in fileReader:
new_list.append(row)
# Converts papatimes time format into dattime
def time_split(current_line):
# splits papastats datetime format in useable python list
dt = datetime.datetime.strptime(current_line[0],%Y/%m/%d %H:%M:%S)
time.append(dt)
def cpu_calc(current_line):
cpu.append(current_line[11].rstrip(%))
#Iterate over list of CSV values
for i in new_list[1:]:
time_split(i)
cpu_calc(i)
plt.plot(time, cpu, 'b-')
#plt.plot_date(time, cpu, fmt='b-', xdate=False, ydate=False, tz=None)
plt.xlabel('Time')
plt.ylabel('CPU %')
plt.title('Daily CPU Usage')
plt.grid(True)
plt.grid(alpha=0.2, color='black', linestyle='-', linewidth=0.1)
plt.show()
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