For example, if I have trend1 ([0,1,2,3,4]) and trend2 ([5000,6000,7000,8000,9000]) to be plotted against time and want the two trends to be of different colors and in Y-axis, different scales, how can I accomplish this with Matplotlib?

We can create a basic 2-by-2 grid of Axes using subplots. It returns a Figure instance and an array of Axes objects. The Axes objects can be used to access methods to place artists on the Axes; here we use annotate, but other examples could be plot, pcolormesh, etc.

from typing import List, Union import matplotlib.axes import pandas as pd def plot_multi( data: pd.DataFrame, x: Union[str, None] = None, y: Union[List[str], None] = None, spacing: float = 0.1, **kwargs ) -> matplotlib.axes.Axes: """Plot multiple Y axes on the same chart with same x axis.

Two plots on the same Axes with different left and right scales. The trick is to use two different Axes that share the same x axis. You can use separate matplotlib.ticker formatters and locators as desired since the two Axes are independent. Such Axes are generated by calling the Axes.twinx method.

Aug 13, 2021 · Multiple Yaxis With Spines¶ Create multiple y axes with a shared x axis. This is done by creating a twinx axes, turning all spines but the right one invisible and offset its position using set_position .

Feb 3, 2024 · In this article, we'll try to draw multiple Y-axis scales in Matplotlib. Why are multiple Y-axis scales important? Multiple Y-axis scales are necessary when plotting datasets with different units or measurement scales, aiding in clear comparison without distortion.

Matplotlib's multi - axis capabilities offer a powerful way to visualize complex data relationships. By understanding the fundamental concepts, mastering the usage methods, following common practices, and adhering to best practices, you can create high - quality, informative plots.

Mar 9, 2020 · Matplotlib is a powerful data visualization library in Python. It allows you to create a wide range of charts and graphs, including multiple axis charts with different value ranges. In this tutorial, I’ll walk you through the steps to draw multiple axis …

Jan 22, 2025 · Learn how to resolve issues with multi-axis plots in Matplotlib, focusing on handling tick marks and labels for clear, effective data visualization.

Sep 4, 2021 · In this article, we are going to discuss how to add multiple axes to a figure using matplotlib in Python. We will use the add_axes () method of matplotlib module to add multiple axes to a figure. Step-by-step Approach: After importing matplotlib, create a variable fig and equal it to plt.figure (). This will create an empty object.