Default value of loc is loc=”best” (upper left). This function is used to specify the location and the exact coordinates to display the legend in the figure. How to Create an Array of Pointers in C++, How to write your own atoi function in C++, The Javascript Prototype in action: Creating your own classes, Check for the standard password in Python using Sets, Generating first ten numbers of Pell series in Python. Pandas plot legend location. What guarantees that the published app matches the published open source code? If you need finetuning, there comes matplotlib. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. I know how to set the legend location of matplotlib plot with plt.legend(loc='lower left'), however, I am plotting with pandas method df.plot() and need to set the legend location to 'lower left'. The actual size and location of the legend bounding box are defined with the 4-tuple parameter of bbox_to_anchor and loc in the plt.legend. Following is the list of locations on which we can locate our plot legend. df.plot(kind='bar', secondary_y=['col b']) ax.legend(bbox_to_anchor=(1.5, 1)) Updating the values in anchor option will help to shift the location of the legend box. 4: legend.title: set title for legend label: 5: legend.orientation: set to horizontal (default) or vertical: 6: legend.clicking_policy: specify what should happen when legend is clicked hide: hides the glyph corresponding to legend mute: mutes the glyph corresponding to legendtd> The legend is added, but it's a little bit cluttered. Data Visualization with Matplotlib and Python; Matplotlib legend inside To place the legend inside, simply call legend(): … In this case, the objects we want (gray circles) are not on the plot, so we fake them by plotting empty lists. None of those methods allow for legend positioning via their keyword arguments. The list of Python charts that you can plot using this pandas DataFrame plot function are area, bar, barh, box, density, hexbin, hist, kde, line, pie, scatter. Legend is plotted on the top left corner. Set legend font size. We will use the matplotlib.pyplot.legend() method to describe and label the elements of the graph and distinguishing different plots from the same graph.. Syntax: matplotlib.pyplot.legend( [“title_1”, “Title_2”], ncol = 1 , loc = “upper left” ,bbox_to_anchor =(1, 1) ) Legend : A legend is an area describing the elements of the graph. Even when using pandas.DataFrame.plot - there is no parameter which adjusts legend position, only if the legend is drawn. Update first argument for moving along X axis and update second value for shifting along Y axis. The string 'center' places the legend at the center of the axes/figure. rev 2021.1.15.38327, Stack Overflow works best with JavaScript enabled, Where developers & technologists share private knowledge with coworkers, Programming & related technical career opportunities, Recruit tech talent & build your employer brand, Reach developers & technologists worldwide, Hi, I am actually looking into a way to do it via pandas, when calling df.plot(). This function is used to perform a transpose of the rows and columns by writing the rows as columns and columns as rows. Pandas Plot set x and y range or xlims & ylims. Default value of loc is loc=”best” (upper left). As the comments indicate, you have to use plt.legend(loc='lower left') to put the legend in the lower left. By default, matplotlib draws the legend in the ‘best’ location i.e. If subplots=True is specified, pie plots for each column are drawn as subplots. Styling your Pandas Barcharts Fine-tuning your plot legend – position and hiding. The strings 'upper center', 'lower center', 'center left', 'center right' place the legend at the center of the corresponding edge of the axes/figure. You can use this pandas plot function on both the Series and DataFrame. This program is an example of creating a line chart using stock data and with a legend on the top of the chart: ... jmcnamara@cpan.org # import pandas as pd import pandas.io.data as web # Some sample data to plot. Note that pie plot with DataFrame requires that you either specify a target column by the y argument or subplots=True. The string 'center' places the legend at the center of the axes/figure. You may want to move your legend around to make a cleaner map. By default uses the index. The string 'best' places the legend at the location, among the nine locations defined so far, with the minimum overlap with other drawn artists. We can fix it with ease: #tweak the font heights in px scatter.legend(fontsize = 15) A legend is an area describing the elements of the graph. x label or position, default None. The attribute Loc in legend() is used to specify the location of the legend. Default is 0.5 (center) If kind = ‘scatter’ and the argument c is the name of a dataframe column, the values of that column are used to color each point. Why do small patches of snow remain on the ground many days or weeks after all the other snow has melted? Python plot legend:markers appear twice (1) This question already has an answer here: matplotlib Legend Markers Only Once 2 answers A simple plot with a legend made with matplotlib produces the following: the markers at the left of the labels of my legend … To clarify the original answer, there is presently no way to do this through pandas.DataFrame.plot. It doesn't make sense for Pandas to copy all of matplotlib's extensive functionality. In the matplotlib library, there’s a function called legend() which is used to Place a legend on the axes. This function is used to display the plotted figure. We first make the scatterplot with legend as before. I have edited my answer in response to your edit, I would recommend taking a look, Save plot to image file instead of displaying it using Matplotlib, Moving matplotlib legend outside of the axis makes it cutoff by the figure box, Selecting multiple columns in a pandas dataframe, How to iterate over rows in a DataFrame in Pandas, Adding a legend to PyPlot in Matplotlib in the simplest manner possible, Internationalization - how to handle situation where landing url implies different language than previously chosen settings. Why is it so hard to build crewed rockets/spacecraft able to reach escape velocity? (0, 0) is the lower-left corner, and (1.0, 1.0) is the upper right corner of the axes coordinate. I typically use loc= ‘upper right’. Why does my halogen T-4 desk lamp not light up the bulb completely? ‘line’ – line plot ‘bar’ – vertical bar plot ‘hist’ – histogram ‘pie’ – pie plot ‘scatter’ – scatter plot ax is a matplotlib axes object and .gca() is used to get the current axes instance for the figure. In this tutorial, you will learn how to put Legend outside the plot using Python with Pandas. Above you created a legend using the label= argument and ax.legend(). When legend inside the plot obscures data points on a plot, it is a better idea to move the legend to outside the plot. Geopandas plot of roads colored according to an attribute. The legend() method adds the legend to the plot. Related course. With Blind Fighting style from Tasha's Cauldron Of Everything, can you cast spells that require a target you can see? The attribute Loc in legend() is used to specify the location of the legend. pandas.DataFrame.plot¶ DataFrame.plot (* args, ** kwargs) [source] ¶ Make plots of Series or DataFrame. I typically use loc= ‘upper right’. Pandas Plot set x and y range or xlims & ylims. Line number 11, bar() function plots the Happiness_Index_Female on top of Happiness_Index_Male with the help of argument bottom=Happiness_Index_Male. Now, if we run the code, the plot will have a legend: Notice how the legend was automatically placed in the only free space where the waves won't run over it. plt.legend(loc=' ',bbox_to_anchor=()) This function is used to specify the location and the exact coordinates to display the legend in the figure. Note that pie plot with DataFrame requires that you either specify a target column by the y argument or subplots=True. The legend will always reference some object that is on the plot, so if we'd like to display a particular shape we need to plot it. Are the longest German and Turkish words really single words? Legend location¶. To learn more, see our tips on writing great answers. We can move the legend on Seaborn plot to outside the plotting area using Matplotlib’s help. loc – specifies the location of the legend bbox_to_anchor – states the exact coordinates of the legend. The location of the legend. It does not accept legend position strings. When was the phrase "sufficiently smart compiler" first used? pandas.DataFrame.plot.area¶ DataFrame.plot.area (x = None, y = None, ** kwargs) [source] ¶ Draw a stacked area plot. python - multiple - pandas plot legend location . Legend : A legend is an area describing the elements of the graph. site design / logo © 2021 Stack Exchange Inc; user contributions licensed under cc by-sa. Therefore, the only way to do this at present is to use plt.legend() directly - as outlined in my original answer, below. If you can afford to plot using pandas, you can just use df.plot(legend='reverse') to achieve the same result Sometimes the order in which legend labels are displayed is not the most adequate. Uses the backend specified by the option plotting.backend. Notice too that the legend only lists plot elements that have a … Book that I read long ago. Why is the air inside an igloo warmer than its outside? Matplotlib is one of the most popular Python packages used for data visualization. Only used if data is a DataFrame. The attribute Loc in legend() is used to specify the location of the legend.Default value of loc is loc=”best” (upper left). If subplots=True is specified, pie plots for each column are drawn as subplots. Even when using pandas.DataFrame.plot - there is no parameter which adjusts legend position, only if the legend is drawn. Coordinates for the X axis. The legend() method adds the legend to the plot. This program is an example of creating a line chart using stock data and with a legend on the top of the chart: ... jmcnamara@cpan.org # import pandas as pd import pandas.io.data as web # Some sample data to plot. Pandas bar plot with specific colors and legend location?, If you want to add the legend manually, you have to ask the subplot for the elements of the bar plot: In [17]: ax = x.plot(kind='bar', legend=False) As the comments indicate, you have to use plt.legend(loc='lower left') to put the legend in the lower left. Notice too that the legend only lists plot elements that have a … We can as well position the legend outside the plot. When y is specified, pie plot of selected column will be drawn. loc – specifies the location of the legend bbox_to_anchor – states the exact coordinates of the legend. Which results in the python stacked bar chart with legend as shown below. It is used to help readers understand the data represented in the graph. In the matplotlib library, there’s a function called legend() which is used to Place a legend on the axes. By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy. plt.show() This function is used to display the plotted figure. Now, if we run the code, the plot will have a legend: Notice how the legend was automatically placed in the only free space where the waves won't run over it. An area plot displays quantitative data visually. By default, matplotlib is used. If you can afford to plot using pandas, you can just use df.plot(legend='reverse') to achieve the same result Sometimes the order in which legend labels are displayed is not the most adequate. We can fix it with ease: #tweak the font heights in px scatter.legend(fontsize = 15)    Place legend on axis subplots. Print a conversion table for (un)signed bytes. Note: We can also use the loc parameter to specify a location for the legend size on the the chart. Matplotlib Colormap. Thanks for contributing an answer to Stack Overflow! It places the legend at location (1.05, 1) in the axes coordinate. I believe that the word "chaos" is in the title. The remaining **kwargs are passed into the underlying matplotlib.pyplot method which corresponds to the specified 'kind' argument (default's to matplotlib.pyplot.plot). Finally, plot the DataFrame by adding the following syntax: df.plot(x ='Year', y='Unemployment_Rate', kind = 'line') You’ll notice that the kind is now set to ‘line’ in order to plot the line chart. Pandas quickly creates a plot from dataframes. Here is the complete Python code: In the matplotlib library, there’s a function called legend() which is used to Place a legend on the axes. In this article we will show you some examples of legends using matplotlib. Sharing research-related codes and datasets: Split them, or share them together on a single platform? Today I upgraded pandas via conda to 0.16.1, and the behaviour of my plotting code changed! linspace (0, 2, 100) # Example 1 plt. The figure we got is a bit small, so we would like to resize it appropriately using the figsize parameter. Set legend font size. Pandas brings its own way of passing data, but the settings are all handled by matplotlib. Stack Overflow for Teams is a private, secure spot for you and The output of the above program is given in the figure below: Your email address will not be published. Let's remove the border around it and move it to another location, as well as change the plot's size: You can disable the legend with a simple legend=False as part of the plot command.