Pandas plot legend position. If you’re using Pandas for data manipulation and Matplotlib for plotting, you might find yourself asking: How can I position the legend outside the plot? However, in certain cases, it may be more desirable to position the legend outside the plot to avoid clutter and improve readability. The kind of plot to produce: ‘line’ : line plot (default) ‘bar’ : vertical bar plot ‘barh’ : horizontal bar plot Nov 24, 2024 · How to Position Legends Outside of a Plot with Pandas. , . Only used if data is a DataFrame. 15, 1. If you can afford to plot using pandas, you can just use df. Allows plotting of one column versus another. plot accessor: df. legend ([' A Label ', ' B Label ', ' C Label ', ' D Label '], prop={' size ': 20}) Notice that the font size in the legend is much larger now. DataFrame. In case subplots=True, share x axis and set some x axis labels to invisible; defaults to True if ax is None otherwise False if an ax is passed in; Be aware, that passing in both an ax and sharex=True will alter all x axis labels for all axis in a figure. Jan 23, 2024 · Additionally, we change the position of the legend to the upper right corner of the plot using the `loc` parameter. If you add more details to the graph (say an annotation or a line) you'll soon discover that it is relevant when you call legend on the axis: if you call it at the bottom of the script it will capture different handles for the legend elements, messing everything. plot with subplots=True returns a numpy. 375, 0. pyplot as plt #create bar chart df. To put the legend outside the plot in Python 3 using Pandas, we can utilize the `bbox_to_anchor 这里我们使用pandas. Additional See full list on sparkbyexamples. Apr 1, 2022 · Example 2: Change Legend Position Outside of Matplotlib Plot. These modifications enhance the readability and aesthetics of the legend. Modifying the legend of a Pandas bar plot in Python 3 allows you to tailor the visualization to your specific requirements. kind str. 0: Each plot kind has a corresponding method on the DataFrame. 0. y label, position or list of label, positions, default None. Jul 22, 2023 · In diesem Tutorial wird anhand mehrerer Beispiele erläutert, wie Sie die Position einer Legende in Matplotlib ändern. 02, 0. 3) the 'legend' argument of plot accepts only a boolean or the string 'reverse': legend: False/True/'reverse' Place legend on axis subplots. New in version 0. random. plot(legend='reverse') to achieve the same result. DataFrame(np. randn(24*3, 3), index I think what confuses me is that the legend does not actually start at 0. 04, 1. . To place the legend outside of a Matplotlib plot, we can use the bbox_to_anchor() argument. Mar 23, 2019 · Reorder labels in legend.  A border is added by default to the legend, but there may be some cases when you will prefer not having a border for a cleaner appearance. Sometimes the order in which legend labels are displayed is not the most adequate. axes. sharex bool, default True if ax is None else False. To clarify the original answer, there is presently no way to do this through pandas. 5, 0. To put the legend outside the plot in Python 3 using Pandas, we can utilize the `bbox_to_anchor Jan 8, 2019 · I am plotting a pandas dataframe with a second y-axis via pandas plotting interface as described in the documentation like this: df = pd. 3125] The vertical offset (relative to the font size) for the markers created for a scatter plot legend entry. plot. Nov 17, 2021 · pandas. In its current implementation (version 1. 17. 83). plot()函数绘制柱状图，并通过legend=True参数添加Matplotlib图例，位置默认为“最佳”。 我们也可以设置Matplotlib图例的位置。在plot()函数中，可以使用legend()函数并传入loc参数，该参数表示所要设置的位置。例如，将Matplotlib图例设置为右上 Jul 30, 2024 · A legend helps explain the elements in a plot, and for adding a legend to a plot in Matplotlib, we use the legend() function. Using Pandas to Put the Legend Outside the Plot. x label or position, default None. It does not accept legend position strings. 0 is at the base the legend text, and 1. When working with data visualization in Python, effectively placing your legend can significantly enhance readability and aesthetics. get_legend(). 0 is at the top. This doesn't provide the same ease of use as the loc keyword when creating a legend from scratch, but does give control over placement. plot(kind='line') is equivalent to df. Fortunately, Pandas provides a straightforward way to achieve this. ndarray of matplotlib. 2. plot (kind=' bar ') #add custom legend to bar chart plt. 82, and indeed for my larger plot (with 5 subplots of this type), I need to use legend coordinates bbox_to_anchor=(0. Dec 16, 2021 · Lastly, we can use the size argument to modify the font size in the legend: import matplotlib. However, in certain cases, it may be more desirable to position the legend outside the plot to avoid clutter and improve readability. You can then update the location of the legend using the method set_bbox_to_anchor. scatteryoffsets iterable of floats, default: [0. Oct 15, 2015 · This is slightly an edge case but I think it can add some value to the other answers. line(). com The number of marker points in the legend when creating a legend entry for a PathCollection (scatter plot). Axes; The easiest way to access each subplot axes is to flatten the array, and iterate through each. For example, here’s how to place the legend outside the top right corner of the plot: Make plots of DataFrame using matplotlib / pylab. Oct 2, 2016 · You can access the legend defined on the ax instance with ax. 102) in order to make the legend appear on coordinates (0. rqaaw rozkq yye htb wsfaa arof jhpqj qxocefp vwmkk pgkq