[FIXED] How to display the x-axis in as yy.m only for the first month of the year and the rest as m

Issue

This is my example code and output.

import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as mdates

# Create a DataFrame with a date column and another column with the data you want to plot
data = {'Date': ['2023-01-01', '2023-02-01', '2023-03-01', '2024-01-01', '2024-02-01'],
        'Value': [10, 15, 13, 18, 20]}
df = pd.DataFrame(data)

# Convert the 'Date' column to datetime
df['Date'] = pd.to_datetime(df['Date'])

# Create a Matplotlib plot using the date data for the x-axis and the 'Value' column for the y-axis data
plt.plot(df['Date'], df['Value'], marker='o', linestyle='-')
plt.xlabel('Date')
plt.ylabel('Y-axis Label')
plt.title('Your Plot Title')

Can I set x-axis format like belows? I want to display yy.m only on the first day of each year and m for the rest.

Solution

• You must set the major and minor formatters and locators.

data = {'Date': ['2023-01-01', '2023-02-01', '2023-03-01', '2024-01-01', '2024-02-01'],
        'Value': [10, 15, 13, 18, 20]}
df = pd.DataFrame(data)

# Convert the 'Date' column to datetime.date which results in the labels being centered under the xticks
df['Date'] = pd.to_datetime(df['Date']).dt.date

# plot the data
ax = df.plot(x='Date', rot=0, figsize=(7, 5))

# format the major ticks
ax.xaxis.set_major_formatter(mdates.DateFormatter('%y.%m'))
ax.xaxis.set_major_locator(mdates.MonthLocator(bymonth=1, interval=1))

# format the minor ticks
ax.xaxis.set_minor_locator(mdates.MonthLocator())
ax.xaxis.set_minor_formatter(mdates.DateFormatter("%m"))

ax.xaxis.set_minor_locator(mdates.MonthLocator(bymonth=[3, 5, 7, 9, 11]))

Answered By - Trenton McKinney