Matplotlib not showing full date on np.datetime64 x-axis-CodePudding

I'm trying to plot some data with a datetime64 x-axis:

t = np.arange(np.datetime64('2022-07-19T12:00:00.00'), np.datetime64('2022-07-19T15:00:00.00'), np.timedelta64(1, 'h'))
y = np.random.rand(3)
plt.plot(t, y)

The x-axis shows day, hour, minute. I am not looking to get the high-resolution values (sec, ms), but I would like to see at least the month, and possibly the year. I don't mind if it's an offset on the bottom right corner of the plot.

How do I display the x-axis data with month and year information?

CodePudding user response：

In the Matplotlib documentation there is an example of setting date tick labels using the default, concise, and manual date formatter. I suspect you will need to setup a manual formatter with your specific options.

Date Tick Label Example

Copy pasting the example here but see the link/docs for more information:

import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import matplotlib.cbook as cbook

# Load a numpy structured array from yahoo csv data with fields date, open,
# close, volume, adj_close from the mpl-data/example directory.  This array
# stores the date as an np.datetime64 with a day unit ('D') in the 'date'
# column.
data = cbook.get_sample_data('goog.npz', np_load=True)['price_data']

fig, axs = plt.subplots(3, 1, figsize=(6.4, 7), constrained_layout=True)
# common to all three:
for ax in axs:
    ax.plot('date', 'adj_close', data=data)
    # Major ticks every half year, minor ticks every month,
    ax.xaxis.set_major_locator(mdates.MonthLocator(bymonth=(1, 7)))
    ax.xaxis.set_minor_locator(mdates.MonthLocator())
    ax.grid(True)
    ax.set_ylabel(r'Price [\$]')

# different formats:
ax = axs[0]
ax.set_title('DefaultFormatter', loc='left', y=0.85, x=0.02, fontsize='medium')

ax = axs[1]
ax.set_title('ConciseFormatter', loc='left', y=0.85, x=0.02, fontsize='medium')
ax.xaxis.set_major_formatter(
    mdates.ConciseDateFormatter(ax.xaxis.get_major_locator()))

ax = axs[2]
ax.set_title('Manual DateFormatter', loc='left', y=0.85, x=0.02,
             fontsize='medium')
# Text in the x axis will be displayed in 'YYYY-mm' format.
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%b'))
# Rotates and right-aligns the x labels so they don't crowd each other.
for label in ax.get_xticklabels(which='major'):
    label.set(rotation=30, horizontalalignment='right')

plt.show()