Switching x axis ticks with date labels in matplotlib

Currently, I am learning how to create bar charts using matplotlib by following a tutorial. The link to the tutorial is:

import numpy as np
import matplotlib.pyplot as plt

data = [[5., 25., 50., 20.],
  [4., 23., 51., 17.],
  [6., 22., 52., 19.]]

color_list = ['b', 'g', 'r']
gap = .8 / len(data)
for i, row in enumerate(data):
  X = np.arange(len(row))
  plt.bar(X + i * gap, row,
    width = gap,
    color = color_list[i % len(color_list)])

plt.show()

I have successfully implemented the code from the tutorial but I am now encountering difficulties in modifying the x-axis values or xticks to display dates.

plt.xticks(['11-2019', '12-2019', '01-2020'])

The specific error message I am receiving is:

in convert_units f'units: {x!r}') from e matplotlib.units.ConversionError: Failed to convert value(s) to axis units: ['11-2019', '12-2019', '01-2020']

If anyone has experience with this issue and knows how to replace the x-axis values with dates, your help would be greatly appreciated.

Answer №1

When working with matplotlib's xticks, it is important to include both the position and labels for accuracy. According to the official documentation:

xticks(ticks, [labels], **kwargs)  # Set locations and labels

To customize your ticks, you can specify positions by using np.arange to generate a series of values. You may also add additional ticks if desired, but this is optional. Only the specified number of ticks will be displayed.

plt.xticks(np.arange(4),['11-2019', '12-2019', '01-2020', 'another tick'])

See the result below:

https://i.stack.imgur.com/DF3rt.png

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