How to plot a very simple bar chart (Python, Matplotlib) using input *.txt file?

Question

I use Python 2.7 and matplotlib. I have a *.txt data file :

0 14-11-2003
1 15-03-1999
12 04-12-2012
33 09-05-2007
44 16-08-1998
55 25-07-2001
76 31-12-2011
8         


        

Answer 1

First, what you are looking for is a column or bar diagram, not really a histogram. A histogram is made from a frequency distribution of a continuous variable that is separated into bins. Here you have a column against separate labels.

To make a bar diagram with matplotlib, use the matplotlib.pyplot.bar() method. Have a look at this page of the matplotlib documentation that explains very well with examples and source code how to do it.

If it is possible though, I would just suggest that for a simple task like this if you could avoid writing code that would be better. If you have any spreadsheet program this should be a piece of cake because that's exactly what they are for, and you won't have to 'reinvent the wheel'. The following is the plot of your data in Excel:

I just copied your data from the question, used the text import wizard to put it in two columns, then I inserted a column diagram.

Answer 2

This code will do what you're looking for. It's based on examples found here and here.

The autofmt_xdate() call is particularly useful for making the x-axis labels readable.

import numpy as np
from matplotlib import pyplot as plt

fig = plt.figure()

width = .35
ind = np.arange(len(OY))
plt.bar(ind, OY, width=width)
plt.xticks(ind + width / 2, OX)

fig.autofmt_xdate()

plt.savefig("figure.pdf")

Answer 3

You're talking about histograms, but this doesn't quite make sense. Histograms and bar charts are different things. An histogram would be a bar chart representing the sum of values per year, for example. Here, you just seem to be after bars.

Here is a complete example from your data that shows a bar of for each required value at each date:

import pylab as pl
import datetime

data = """0 14-11-2003
1 15-03-1999
12 04-12-2012
33 09-05-2007
44 16-08-1998
55 25-07-2001
76 31-12-2011
87 25-06-1993
118 16-02-1995
119 10-02-1981
145 03-05-2014"""

values = []
dates = []

for line in data.split("\n"):
    x, y = line.split()
    values.append(int(x))
    dates.append(datetime.datetime.strptime(y, "%d-%m-%Y").date())

fig = pl.figure()
ax = pl.subplot(111)
ax.bar(dates, values, width=100)
ax.xaxis_date()

You need to parse the date with strptime and set the x-axis to use dates (as described in this answer).

If you're not interested in having the x-axis show a linear time scale, but just want bars with labels, you can do this instead:

fig = pl.figure()
ax = pl.subplot(111)
ax.bar(range(len(dates)), values)

EDIT: Following comments, for all the ticks, and for them to be centred, pass the range to set_ticks (and move them by half the bar width):

fig = pl.figure()
ax = pl.subplot(111)
width=0.8
ax.bar(range(len(dates)), values, width=width)
ax.set_xticks(np.arange(len(dates)) + width/2)
ax.set_xticklabels(dates, rotation=90)