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Modifying the Formatting of Datetime Axis
When visualizing time series data, the formatting of the datetime axis is crucial for readability and conveying the intended information. This article aims to address a common challenge faced by programmers: modifying the axis formatting to display only the year and month.
Example
Consider a series with a datetime index:
2014-01-01 7 2014-02-01 8 2014-03-01 9 2014-04-01 8
Plotting the series using plt.plot(series.index, series.values) results in an axis that includes hours, minutes, and seconds:
[Image of the graph with hours, minutes, and seconds]
To remove this unnecessary information and obtain a cleaner axis, we use:
<code class="python">import matplotlib.dates as mdates # Set the major and minor ticks to use the desired format ax.xaxis.set_major_formatter(mdates.DateFormatter("%Y-%m")) ax.xaxis.set_minor_formatter(mdates.DateFormatter("%Y-%m"))</code>
This ensures that the x-axis displays only the year and month.
Result
[Image of the graph with only the year and month]
By implementing this solution, you can effectively change the formatting of a datetime axis to meet your visualization needs.
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