I have
x = array([0., 0.08, 0.12, 0.18, 0.27, 0.42, 0.65])
y = array([0., 0.03758546, 0.06577713, 0.48786205, 0.28553257, 0.09909356, 0.02414922])
I then write
plt.ticklabel_format(useOffset=False)
plt.figure(figsize=(20,10))
plt.xlabel('D/Dmax')
plt.bar(x, y), align = 'edge', tick_label = x, color = 'red', edgecolor = "black")
And I get the following chart. Why is it like this, and how can I make the bars not overlap and distinct like every other bar chart?
Your real x-values are much smaller than the default bar width which makes the bars overlap. You need to use a smaller bar width, for ex. 0.02 which is of the order of your smaller x-value.
plt.bar(x, y, align='edge', tick_label=x, color='red', edgecolor="black",
width=0.02)
As your bars don't have a constant width, you can calculate these widths as the difference between the x-values: np.diff(x). Note that there is one less difference than there are elements in x. To get a width for the last bar (which in theory could be infinite), you can either repeat the next-to-last width, or add an extra x-value to set the rightmost boundary.
from matplotlib import pyplot as plt
import numpy as np
x = np.array([0., 0.08, 0.12, 0.18, 0.27, 0.42, 0.65])
y = np.array([0., 0.03758546, 0.06577713, 0.48786205, 0.28553257, 0.09909356, 0.02414922])
widths = np.pad(np.diff(x), (0, 1), 'edge')
plt.figure(figsize=(20, 10))
plt.xlabel('D/Dmax')
plt.bar(x, y, width=widths, align='edge', tick_label=x, color='red', edgecolor="black")
plt.show()
In this case, a logical extension for x could be to include 1:
from matplotlib import pyplot as plt
import numpy as np
x = np.array([0., 0.08, 0.12, 0.18, 0.27, 0.42, 0.65])
x = np.concatenate([x, [1]])
y = np.array([0., 0.03758546, 0.06577713, 0.48786205, 0.28553257, 0.09909356, 0.02414922])
widths = np.diff(x)
plt.figure(figsize=(20, 10))
plt.xlabel('D/Dmax')
plt.bar(x[:-1], y, width=widths, align='edge', color='red', edgecolor="black")
plt.xticks(x)
plt.show()
