After that, you have learned how to implement the same on the CSV dataset using Pandas packages. In the first method, you learned to rotate labels on the sample array. In this entire tutorial, you have learned how to Rotate X axis labels in matplotlib. In the same way, if you want the axis to be vertically labeled, then you will pass the rotation = 90. You can see the x-axis labels have been rotated. Output Rotating the X-axis labels on 45-degree angle For example, let’s pass the rotation=45 as an argument. Inside the method, you have to just pass the rotation value. To rotate it you have to use the plt.xticks()method. You can see the data value is horizontally labeled. Output Default plotting of the figure after setting data as an index import matplotlib.pyplot as pltĭata.set_index("Time (UTC)",inplace=True) Default Figure without RotationĮxecute the below lines of code and see the output. To do so you have to make the data column as the index value. But I want to get the date value instead of it. If you simply plot the line chart then you will get the x-axisvalues randomly. And I want to plot the line chart on the pair. For example, I have a forex pair dataset for the EURUSD pair. Now, let’s plot and rotate labels on the dynamic dataset. Output Simple plotting of data points using labels as a listĮxample 2: Rotate X-axis labels in Matplotlib on Pandas Dataframe When you will run the above code you will get the output as below. Here 90 is the angle of labels you want to show. And lastly to show the labels use ax.set_xticklabels(labels=labels,rotation=90). After plotting the figure the function plt.gca() will get the current axis. After that instead of showing the x-axis points, I created labelswith the list of strings. Then use the figsize to change the size of the plot. The x and y contain the NumPy array created using the numpy.array() method. Use it if you are coding in Jupyter Notebook. Here I used %matplotlib inline for showing the figure inline. Labels =Īx.set_xticklabels(labels=labels,rotation=90) Here I have used NumPy for the creation of the sample array. In this example, I will create sample data points for plotting the figures. Examples 1: Rotate x axis labels on Simple Example It will be better for you for more understanding. As I have used it for explaining the examples. You should make sure that you do all the coding parts involved here on your Jupyter Notebook. Examples to Rotate X-axis labels in Matplotlib In this entire coding tutorial, you will know how to Rotate X-axis labels in Matplotlib using the various examples. And due to it, you want to rotate the text. But sometimes the labels on the x-axis are not readable.
Matplotlib allows you to plot beautiful figure for any dataset you want to analyze.
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