How to remove xticks from a plot in Pandas and matplotlib

DataPlotPlus -

To remove Xticks from a plot in Pandas or Matplotlib we have multiple options.

Remove Xticks in Matplotlib

  • turn off all axis

    • plt.axis('off')

  • remove with tick_params

plt.tick_params(\
    axis='x',          # changes apply to the x-axis
    which='both',      # both major and minor ticks are affected
    bottom='off',      # ticks along the bottom edge are off
    top='off',         # ticks along the top edge are off
    labelbottom='off') # labels along the bottom edge are off
  • set empty ticks
plt.xticks([], [])
ax.set_xticks([])
ax.set_xticks([], minor=True)

Steps to plot 2 variables

  • Import libraries pandas and matplotlib
  • Create a sample DataFrame
  • Create a bar plot
  • Remove Xticks
  • Set axis labels
  • Show the plot

More information can be found: DataFrame.plot - secondary_y

Data

Months Sales
0 Jan 1000
1 Feb 1200
2 Mar 800
3 Apr 1500
4 May 2000

Example

import pandas as pd
import matplotlib.pyplot as plt

# Create a sample DataFrame
data = {'Months': ['Jan', 'Feb', 'Mar', 'Apr', 'May'],
        'Sales': [1000, 1200, 800, 1500, 2000]}
df = pd.DataFrame(data)

# Create a bar plot
ax = df.plot(x='Months', y='Sales', kind='bar', legend=False)

# Remove Xticks
ax.set_xticks([])

# Set axis labels
plt.xlabel('Months')
plt.ylabel('Sales')

# Set the plot title
plt.title('Monthly Sales')

# Show the plot
plt.show()

Output

Resources