Remove Xticks in a Matplotlib Plot

Remove xticks in a matplotlib plot?

The plt.tick_params method is very useful for stuff like this. This code turns off major and minor ticks and removes the labels from the x-axis.

Note that there is also ax.tick_params for matplotlib.axes.Axes objects.

from matplotlib import pyplot as plt
plt.plot(range(10))
plt.tick_params(
    axis='x',          # changes apply to the x-axis
    which='both',      # both major and minor ticks are affected
    bottom=False,      # ticks along the bottom edge are off
    top=False,         # ticks along the top edge are off
    labelbottom=False) # labels along the bottom edge are off
plt.show()
plt.savefig('plot')
plt.clf()

Python hide ticks but show tick labels

You can set the tick length to 0 using tick_params (http://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes.tick_params):

fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot([1],[1])
ax.tick_params(axis=u'both', which=u'both',length=0)
plt.show()

how do I remove xticks and yticks from the below example

IIUC, I believe you can use tick_params(width=0). Adjust the below as necessary depending on which ticks you want to hide.

host.tick_params(width=0)
par1.tick_params(width=0)
par2.tick_params(width=0)

Output:

Remove xticks and yticks of gridspec matlibplot plot

You should be using matplotlib.axes.Axes.tick_params() instead of matplotlib.pyplot.tick_params(). The latter will apply only to the 'current', in this case the most recently created, axes instance - the former allows you to apply the tick params to any axes instance. Consider:

for ax in fig.get_axes():
    ax.tick_params(bottom=False, labelbottom=False, left=False, labelleft=False)

Which will produce

Remove specific tick markers of a matplotlib plot, how?

You could manually set which x_ticks should be in the plot by explicitly saving the location and the text as following:

xticks = ax.xaxis.get_major_ticks()
visible_xticks_locs = []
visible_xticks_labels = []
for x_tick, y_tick in ax.get_lines()[0].get_xydata():
    if y_tick > -0.5:
        visible_xticks_locs.append(int(x_tick)) 
        visible_xticks_labels.append(xticks[int(x_tick)])
ax.set_xticks(ticks=visible_xticks_locs, labels=visible_xticks_labels)

How to remove or hide y-axis ticklabels from a matplotlib / seaborn plot

• seaborn is used to draw the plot, but it's just a high-level API for matplotlib.
  
  • The functions called to remove the y-axis labels and ticks are matplotlib methods.
• After creating the plot, use .set().
• .set(yticklabels=[]) should remove tick labels.
  
  • This doesn't work if you use .set_title(), but you can use .set(title='')
• .set(ylabel=None) should remove the axis label.
• .tick_params(left=False) will remove the ticks.
• Similarly, for the x-axis: How to remove or hide x-axis labels from a seaborn / matplotlib plot?

Example 1

import seaborn as sns
import matplotlib.pyplot as plt

# load data
exercise = sns.load_dataset('exercise')
pen = sns.load_dataset('penguins')

# create figures
fig, ax = plt.subplots(2, 1, figsize=(8, 8))

# plot data
g1 = sns.boxplot(x='time', y='pulse', hue='kind', data=exercise, ax=ax[0])

g2 = sns.boxplot(x='species', y='body_mass_g', hue='sex', data=pen, ax=ax[1])

plt.show()

Remove Labels

fig, ax = plt.subplots(2, 1, figsize=(8, 8))

g1 = sns.boxplot(x='time', y='pulse', hue='kind', data=exercise, ax=ax[0])

g1.set(yticklabels=[])  # remove the tick labels
g1.set(title='Exercise: Pulse by Time for Exercise Type')  # add a title
g1.set(ylabel=None)  # remove the axis label

g2 = sns.boxplot(x='species', y='body_mass_g', hue='sex', data=pen, ax=ax[1])

g2.set(yticklabels=[])  
g2.set(title='Penguins: Body Mass by Species for Gender')
g2.set(ylabel=None)  # remove the y-axis label
g2.tick_params(left=False)  # remove the ticks

plt.tight_layout()
plt.show()

Example 2

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

# sinusoidal sample data
sample_length = range(1, 1+1) # number of columns of frequencies
rads = np.arange(0, 2*np.pi, 0.01)
data = np.array([(np.cos(t*rads)*10**67) + 3*10**67 for t in sample_length])
df = pd.DataFrame(data.T, index=pd.Series(rads.tolist(), name='radians'), columns=[f'freq: {i}x' for i in sample_length])
df.reset_index(inplace=True)

# plot
fig, ax = plt.subplots(figsize=(8, 8))
ax.plot('radians', 'freq: 1x', data=df)

Remove Labels

# plot
fig, ax = plt.subplots(figsize=(8, 8))
ax.plot('radians', 'freq: 1x', data=df)
ax.set(yticklabels=[])  # remove the tick labels
ax.tick_params(left=False)  # remove the ticks

Why can't I remove pyplot tick labels?

You can try specifying xticks and xticklabels from the setp function to force label deletions

     plt.setp(ax1, xticks=[1,2,3,4,5],
     xticklabels=['','','','',''],
     yticks=[1,2,3,4,5],
     yticklabels=["",'','',''])

How to remove or hide x-axis labels from a seaborn / matplotlib plot

• After creating the boxplot, use .set().
• .set(xticklabels=[]) should remove tick labels.
  
  • This doesn't work if you use .set_title(), but you can use .set(title='').
• .set(xlabel=None) should remove the axis label.
• .tick_params(bottom=False) will remove the ticks.
• Similarly, for the y-axis: How to remove or hide y-axis ticklabels from a matplotlib / seaborn plot?

fig, ax = plt.subplots(2, 1)

g1 = sb.boxplot(x="user_type", y="Seconds", data=df, color = default_color, ax = ax[0], sym='')
g1.set(xticklabels=[])
g1.set(title='User-Type (0=Non-Subscriber, 1=Subscriber)')
g1.set(xlabel=None)

g2 = sb.boxplot(x="member_gender", y="Seconds", data=df, color = default_color, ax = ax[1], sym='')
g2.set(xticklabels=[])
g2.set(title='Gender (0=Male, 1=Female, 2=Other)')
g2.set(xlabel=None)

Example

With xticks and xlabel

import seaborn as sns
import matplotlib.pyplot as plt

# load data
exercise = sns.load_dataset('exercise')
pen = sns.load_dataset('penguins')

# create figures
fig, ax = plt.subplots(2, 1, figsize=(8, 8))

# plot data
g1 = sns.boxplot(x='time', y='pulse', hue='kind', data=exercise, ax=ax[0])

g2 = sns.boxplot(x='species', y='body_mass_g', hue='sex', data=pen, ax=ax[1])

plt.show()

Without xticks and xlabel

fig, ax = plt.subplots(2, 1, figsize=(8, 8))

g1 = sns.boxplot(x='time', y='pulse', hue='kind', data=exercise, ax=ax[0])

g1.set(xticklabels=[])  # remove the tick labels
g1.set(title='Exercise: Pulse by Time for Exercise Type')  # add a title
g1.set(xlabel=None)  # remove the axis label

g2 = sns.boxplot(x='species', y='body_mass_g', hue='sex', data=pen, ax=ax[1])

g2.set(xticklabels=[])  
g2.set(title='Penguins: Body Mass by Species for Gender')
g2.set(xlabel=None)
g2.tick_params(bottom=False)  # remove the ticks

plt.show()

How to remove the first and last minor tick month labels on matplotlib?

Try setting your x-axis limit to values between 0 and 365. Sometimes matplotlib uses values a little outside of your data. This way, the first Dec and last Jan are automatically eliminated from the plot.

Here I modified your code with 1 argument: plt.xlim(0,365)

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import matplotlib.dates as mdates
import matplotlib.ticker as ticker

df = pd.DataFrame(np.random.randint(0,100,size=(365, 2)), columns=list('AB'))
df.index = pd.date_range(start='1/1/2022', end='12/31/2022').strftime('%b-%d')

plt.figure()
ax = plt.gca()
ax.xaxis.set_major_locator(mdates.MonthLocator())
ax.xaxis.set_minor_locator(mdates.MonthLocator(bymonthday=16))
ax.xaxis.set_major_formatter(ticker.NullFormatter())
ax.xaxis.set_minor_formatter(mdates.DateFormatter('%b'))

for tick in ax.xaxis.get_minor_ticks():
    tick.tick1line.set_markersize(0)
    tick.tick2line.set_markersize(0)
    tick.label1.set_horizontalalignment('center')

plt.xlim(0,365)
plt.plot(df['A'], linewidth=0.5, color='tab:red')

plt.show()

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