Reputation: 1
I have a directory filled with multiple .csv files, each only has two columns (date and an integer). I am trying to get this code to loop over each file and plot them individually so that there is a corresponding .png to each .csv. Every time it runs, I end up with the correct number of .png files, but each has exactly the same data. I have already inplemented the plt.clf()
method to clear it for each loop, but it doesn't work. Here is the code:
import numpy as np
import pylab as pl
import matplotlib.pyplot as plt
import datetime as DT
import matplotlib.dates as mdates
import scipy
import os
import glob
rootdir='/path/to/file'
for infile in glob.glob( os.rootdir.join(rootdir, '*.csv.out') ):
output = infile + '.out'
data= np.loadtxt(infile, delimiter=',',
dtype={'names': ('date', 'session'),'formats': ('S10', 'i4')} )
#Organizes 2-column spreadsheet
dates, sessions = map(list, zip(*data))
print dates, sessions
x = [DT.datetime.strptime(date,"%m-%d-%y") for date in dates]
y = [sessions]
fig = plt.figure()
ax = fig.add_subplot(111)
ax.xaxis_date()
ax.grid()
#Fills space under plotted line
ax.fill_between(x, sessions, color='blue')
# slants the x axis
fig.autofmt_xdate()
plt.plot(x,sessions)
plt.xlabel('Date')
plt.ylabel('Sessions')
plt.title('Peak Usage')
fileNameTemplate = r'\path\to\file\Plot{}.png'
for subdir,dirs,files in os.walk(rootdir):
for count, file in enumerate(files):
pl.savefig(fileNameTemplate.format(count), format='png')
pl.clf()
I modeled the enumerator after a solution in this answer but I am still getting an issue.
Upvotes: 0
Views: 1877
Reputation: 2763
You need to:
Right now, you're not creating new plots as you walk the directory. The plot command needs to be inside the loop.
def plot():
#do your plotting in here. If this is being called from a loop and the
#variables used herein are defined before, it will use the
#global values as they exist at the time. You can also end this function with
fig.savefig(**args)
plt.close()
for count, file in enumerate(files):
plot()
Upvotes: 1