How to draw grid lines behind matplotlib bar graph
PythonMatplotlibPython Problem Overview
x = ['01-02', '02-02', '03-02', '04-02', '05-02']
y = [2, 2, 3, 7, 2]
fig, ax = plt.subplots(1, 1)
ax.bar(range(len(y)), y, width=0.3,align='center',color='skyblue')
plt.xticks(range(len(y)), x, size='small')
plt.savefig('/home/user/graphimages/foo2.png')
plt.close()
I want to draw grid lines (of x & y) behind the bar graph.
Python Solutions
Solution 1 - Python
To add a grid you simply need to add
ax.grid()
If you want the grid to be behind the bars then add
ax.grid(zorder=0)
ax.bar(range(len(y)), y, width=0.3, align='center', color='skyblue', zorder=3)
The important part is that the zorder of the bars is greater than grid. Experimenting it seems zorder=3 is the lowest value that actually gives the desired effect. I have no idea why zorder=1 isn't sufficient.
EDIT: I have noticed this question has already been answered here using a different method although it suffers some link rot. Both methods yield the same result as far as I can see but andrew cooke's answer is more elegant.
Solution 2 - Python
I am suggesting another solution since the most voted answer did not work for me. You can use the following code to set the gridlines behind the plot.
ax.set_axisbelow(True)
ax.grid(color='gray', linestyle='dashed')
I got this code from this answer.
Solution 3 - Python
plt.grid(True, color = "grey", linewidth = "1.4", linestyle = "-.")
This worked for me, the grid lines will be in grey border color,if you want can change border design to linestyle = ".."
Like this
plt.grid(True, color = "grey", linewidth = "1.4", linestyle = "..")
Summing up entire code block:
fig, ax = plt.subplots(1, 1)
ax.bar(range(len(y)), y, width=0.3,align='center',color='skyblue')
plt.xticks(range(len(y)), x, size='small')
plt.grid(True, color = "grey", linewidth = "1.4", linestyle = "-.")
plt.savefig('/home/user/graphimages/foo2.png')
plt.close()
Solution 4 - Python
ax.grid(zorder=0) Woud work. But First Place the Bar and then Place the Grid.Not the orther way.
ax = df.plot.bar(x='Index', y='Values', rot=90)
ax.grid(zorder=0)
I took some currency Correlation with Year and Sorted it as my Data Frame df, and below is the result of the code run.
