How to remove the grey lines in plots

Question

How to remove the two grey lines (on the far right and top of the attached figure) and keep the two axes lines?

 #plt.style.use('Solarize_Light2')


plt.rcParams["figure.figsize"] = (50, 35)
plotdata = pd.DataFrame(result1)
plotdata.plot(kind="bar")
plt.legend(loc=0, prop={'size': 25})
plt.title("Actual Vs. Predicted Stratospheric Ozone Depletion", fontsize=30)
plt.xticks(rotation=0)
plt.xlabel("Index", fontsize=30)
ax.yaxis.offsetText.set_fontsize(50)

plt.ylabel("(kg CFC-11 eq.)", fontsize=30)

plt.tick_params(labelsize=30)

plt.grid(False)

Trial 1:

 plt.rcParams["figure.figsize"] = (50, 35)
    plotdata = pd.DataFrame(result1)
    plotdata.plot(kind="bar")
    plt.legend(loc=0, prop={'size': 25})
    plt.title("Actual Vs. Predicted Stratospheric Ozone Depletion", fontsize=30)
    plt.xticks(rotation=0)
    plt.xlabel("Index", fontsize=30)
    ax.yaxis.offsetText.set_fontsize(50)
    
    plt.ylabel("(kg CFC-11 eq.)", fontsize=30)
    
    plt.tick_params(labelsize=30)
    
    plt.grid(False)
ax.spines["right"].set_visible(False)
ax.spines["top"].set_visible(False)

Welcome. Please see [how to create a minimal, reproducible example](https://stackoverflow.com/help/minimal-reproducible-example) to help others to help you. — Jeremy, Oct 04 '22 at 02:45

score 0 · Accepted Answer · answered Oct 04 '22 at 03:01

0

You can get rid of part of the boundary using the set_visible command. For example, consider the following.

import matplotlib.pyplot as plt
import numpy as np

# Generate the figure
###############

labels = ['G1', 'G2', 'G3', 'G4', 'G5']
men_means = [20, 34, 30, 35, 27]
women_means = [25, 32, 34, 20, 25]

x = np.arange(len(labels))  # the label locations
width = 0.35  # the width of the bars

fig, ax = plt.subplots()
rects1 = ax.bar(x - width/2, men_means, width, label='Men')
rects2 = ax.bar(x + width/2, women_means, width, label='Women')

# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('Scores')
ax.set_title('Scores by group and gender')
ax.set_xticks(x, labels)
ax.legend()

# remove top/right boundary
###################

ax.spines["right"].set_visible(False)
ax.spines["top"].set_visible(False)

######

plt.show()

The resulting graph:

answered Oct 04 '22 at 03:01

Ben Grossmann

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Thx but this is not working for me. I am still getting those annoying grey lines – Z090 Oct 04 '22 at 03:10
Did you run the code that I wrote and get a different result? If not, then what do you mean when you say that "this" is not working for me? That is, what exactly did you run? – Ben Grossmann Oct 04 '22 at 03:17
@Z090 Taking a wild guess at what you actually did, I think you need to add `ax = plt.gca()` before the `set_visible` commands that you pasted in. – Ben Grossmann Oct 04 '22 at 03:18
I am a bit confused, sorry. I am pasting my code again. Also, I can't seem to be able to add the tick marks nor I am able to increase the font size for the offsetText it seems there's something wrong in my code. – Z090 Oct 04 '22 at 03:23
@Z090 Before you use any commands of the form `ax.___` but after the relevant plot command, you need to have the line `ax = plt.gca()`. The code that I originally suggested doesn't include this line because it has the `subplots` line instead. – Ben Grossmann Oct 04 '22 at 03:30
You're awesome man I was stuck for hours due to this missing line `ax = plt.gca()` One last question how make the ticks visible? – Z090 Oct 04 '22 at 03:35
Do you mean for the x-axis or for the y-axis? – Ben Grossmann Oct 04 '22 at 03:44
YES............. – Z090 Oct 04 '22 at 03:47
@Z090 Actually I think I was wrong about what I said... I'm not sure off the top of my head, I'd recommend asking another question. When you do: include the code that you used to generate the graph, **but also** paste in some/all of the variable `result1` so that users can run your code to replicate your result and modify it as needed – Ben Grossmann Oct 04 '22 at 03:50
@Z090 I can't actually verify this since I can't reproduce your graph, but my latest guess is that you can get the ticks to be visible by messing with their length and width [using ax.tick_params](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.tick_params.html). I think the issue you have is similar to the width-issue [described here](https://stackoverflow.com/q/49269927/2476977). – Ben Grossmann Oct 04 '22 at 03:59

How to remove the grey lines in plots

1 Answers1