mdates in matplotlib?mdates helps format and handle dates on plots, making it easier to display time-based data clearly.
mdates?You use mdates.DateFormatter with a format string like '%Y-%m-%d' and apply it with ax.xaxis.set_major_formatter().
mdates.AutoDateLocator() do?It automatically chooses the best date ticks for the axis based on the data range, so the dates look neat and readable.
mdates for date plotting instead of plain numbers?Dates are special data types. Using mdates ensures correct spacing, formatting, and interpretation of dates on plots.
mdates.<pre>import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from datetime import datetime
dates = [datetime(2024, 1, i) for i in range(1, 6)]
values = [10, 15, 7, 12, 9]
fig, ax = plt.subplots()
ax.plot(dates, values)
ax.xaxis.set_major_locator(mdates.DayLocator())
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))
fig.autofmt_xdate() # Rotate date labels
plt.show()</pre>mdates class automatically picks date ticks based on data range?AutoDateLocator automatically selects the best ticks for dates on the axis.
DateFormatter('%Y-%m-%d') do?It formats the date labels to show year, month, and day.
set_major_formatter() sets how the major ticks are displayed, including date formats.
fig.autofmt_xdate() after setting date formats?This rotates the date labels so they don’t overlap and are easier to read.
mdates locator would you use to show ticks every day?DayLocator places ticks at daily intervals.