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# How to put the y-axis in logarithmic scale with Matplotlib ?

• Difficulty Level : Medium
• Last Updated : 17 Dec, 2020

Axes’ in all plots using Matplotlib are linear by default, yscale() method of the matplotlib.pyplot library can be used to change the y-axis scale to logarithmic.

The method yscale() takes a single value as a parameter which is the type of conversion of the scale, to convert y-axes to logarithmic scale we pass the “log” keyword or the matplotlib.scale.LogScale class to the yscale method.

Syntax :  matplotlib.pyplot.yscale(value, **kwargs)

Parameters:

• Value = { “linear”, “log”, “symlog”, “logit”, … }
• **kwargs = Different keyword arguments are accepted, depending on the scale (matplotlib.scale.LinearScale, LogScale, SymmetricalLogScale, LogitScale)

Returns : Converts the y-axes to the given scale type. (Here we use the “log” scale type)

Linear Scale Example :

## Python3

 `import` `matplotlib.pyplot as plt`` ` `data ``=` `[``10``*``*``i ``for` `i ``in` `range``(``4``)]``plt.plot(data)`

Output: Linear Scale

Logarithmic Scale Example :

## Python3

 `import` `matplotlib.pyplot as plt`` ` `data ``=` `[``10``*``*``i ``for` `i ``in` `range``(``4``)]`` ` `# convert y-axis to Logarithmic scale``plt.yscale(``"log"``)  ``plt.plot(data)`

Output: Logarithmic y-axis

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