Pandas plot legend. set_title() if you didn't store the.

Oct 14, 2013 · If you want to fine tune the needed space, you may want to look at the add_axes method of matplotlib. sort_values(['Hours per Year']) Then you plot it: # data_sorted. Another option for creating a legend for a scatter is to use the PathCollection. x = np. set_edgecolor('b') How to remove only the border of the box of the legend? leg = plt. by Zach Bobbitt December 16, 2021. figure() ax = fig. plot() function returns an matplotlib. We previously saw how to create a simple legend; here we'll take a look at customizing the placement and aesthetics of the legend in Matplotlib. There are two options. plot is called it seems the legend is created using all the data linked to the axis. Matplotlib. Modified 8 years, 1 month ago. randn(10, 5)) df2. 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. You can use textwrap. You can insert the line: plt. columns. この位置のことを Jan 15, 2020 · The problem might be a Pandas internal, when . legend(lines, labels, loc = 'lower center', bbox_to_anchor = (0, -0. legend(loc='upper left', bbox_to_anchor=(1, 1)) plt. Nov 22, 2021 · The newest version of matplotlib (>=3. 3125] The vertical offset (relative to the font size) for the markers created for a scatter plot legend entry. Pandas: Creating a matplotlib legend from a dataframe. Related. reshape(20,5),columns=list('abcde')) I would like to plot muiltiple stacked barplots in different axes, using Pandas and matplotlib. This function is useful to plot lines using DataFrame’s values as coordinates. legend(frameon=False) How to change the color of the border of the legend box? leg = plt. Jan 5, 2020 · The string 'center' places the legend at the center of the axes/figure. legend(['test entry'],title='test') lg. plot(y='FB', figsize=(10,6), title='Facebook Stock', ylabel='USD') As we see in the figure, the title argument adds a title to the plot, and the ylabel sets a label for the y-axis of the plot. fig. legend(loc='upper left') plt. Nov 28, 2018 · Simply using plt. png', bbox_inches="tight", dpi=500) oh wow nevermind I was putting the plt. 凡例は、座標軸の (1. 5, 0. What is the correct way to do it? Matplotlib version is 0 In this case, we can compose a legend using Matplotlib objects that aren't explicitly tied to the data that was plotted. 凡例は、 bbox_to_anchor を使用して Matplotlib のプロットの外側に配置できます。. Get or set the current tick locations and labels of the x-axis. How can I "get" all the legends to change (for example) the color and linestyle in the legend? handles, labels = ax. Jun 10, 2014 · I have a Plot with 2 or more legends. When y is specified, pie plot of selected column will be drawn. plot(legend=False) Based in Munich, our engineers & laboratory helps you to develop your product from the first idea to certification & production. legend() directly - as outlined in my original answer, below. In this tutorial, you’ll learn… Read More »Customize Make a histogram of the DataFrame’s columns. subplots() df = pd. You can use the following basic syntax to add a legend to a plot in pandas: plt. show() edited May 7 at 2:48. The default value of loc is loc= “best” (upper Instead of ax. Those can be passed to the call to legend. legend(loc="best") For your second question: That is because there is a dash line in the plot, if you zoom out a little , you will see it. plot: If the index consists of dates, it calls gca (). get_legend_handles_labels() to do this: ax1 = df. DataFrame(np. legend(df. Nov 16, 2022 · When plotting a pandas Datafarme column is it possible to use the Dataframe column name as the legend label instead of explicitly specifying the label? Example: import matplotlib. no names were provided). area(alpha=0. randint(0,10) for r in range(100)] df = pd. # legend in an object or you're loading a saved figure. I think the hour sent plot is completely covering the hour_read legend. legend () in Python. 0: Each plot kind has a corresponding method on the DataFrame. A bar plot is a plot that presents categorical data with rectangular bars with lengths proportional to the values that they represent. savefig('HFErrorPercentByWeekAndDC. as an Argument to . An area plot displays quantitative data visually. legend () function is a utility given in the Matplotlib library for Python that gives a way to label and differentiate between multiple plots in the same figure. But when I save it as a file with fig. legend, apparently that doesnt work. Parameters: xlabel or position, optional. pandas. df={} Basic plotting: plot ¶. legend(), which produces a legend with the handles from the axes ax, one can create a figure legend. 615 seconds) May 28, 2021 · In order to suppress the legend when using pandas. 0 For the automatic positioning of a single legend in a figure with many axes, like those obtained with subplots(), the following solution works really well: plt. append(l) New in version 0. In statistics, kernel density estimation (KDE) is a non-parametric way to estimate the probability density function (PDF) of a random variable. df2 = pd. set_title("title") # plt. As you see, the printed in legend is the name of the columns of the dataframe. So, how can I set legend parameters Apr 8, 2023 · 0. Make plots of DataFrame using matplotlib / pylab. Is there an easy way to switch on legend for each subplot. This function wraps the matplotlib area function. set_title() if you didn't store the. Oct 25, 2015 · Over those lines I intended yet to plot the average with the errorbar. Mar 4, 2019 · 75. T #T for transpose df. DataFrame({'A':26, 'B':20}, index=['N']) df. 4) plt. pyplot as plt mat = '''SOME MATRIX''' plt. このiris. cos(x) # plot of the data. Oct 10, 2013 · Where legend is the legend itself, orig_handle is the original plot (p_i in the above example), fontsize is the fontsize in pixels, and handlebox is a OffsetBox instance. legend(['A', 'B', 'C', 'D'], loc='center left', title='Legend Title') The following example shows how to use this syntax in practice. red_patch = mpatches. Jun 25, 2022 · To manage to customize it you have to create your graph with subplots function of Matplotlib: import pandas as pd import numpy as np import matplotlib. 0, 1. 1, 1, 1), bbox_transform = plt. plot(pivoted_frame) plt. legend(pivoted_frame. 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 Jul 26, 2017 · 1. density(bw_method=None, ind=None, **kwargs) [source] #. Here is a solution to this problem: May 7, 2019 · With a DataFrame, pandas creates by default one line plot for each of the columns with numeric data. arange(0, 10, 0. The plot method on Series and DataFrame is just a simple wrapper around plt. legend(loc=1) and ax2. asked May 10, 2021 at 22:00. The names of each level of the MultiIndex are None and None (i. For the second answer based on Axes: The number of marker points in the legend when creating a legend entry for a PathCollection (scatter plot). If no column reference is passed and subplots=True a pie plot is drawn for each numerical column independently. This function uses Gaussian kernels and includes automatic bandwidth Nov 17, 2021 · pandas. I also try ax. from pandas import DataFrame. plot(legend=False) but there are cases where you do not have that choice. DataFrame(list(zip(xs, ys)), columns=['xs', 'ys']) fig, ax = plt. This option can be quite slow for plots with large amounts of data; your plotting speed may benefit from providing a specific Feb 13, 2016 · Reverse legend order pandas plot. savefig(), the legend is truncated. backend. axes. legendPatch] or bbox_extra_artists=[leg] to savefig(), but neither worked. Dec 6, 2018 · For the first answer: legend = plt. Parameters: You need to get the legend handles and labels from each Axes, and then pass lists of all the handles and labels to legends. You can then update the location of the legend using the method set_bbox_to_anchor. Jul 26, 2016 · dataframe1fit. sns. 14. append(t) new_list = [] for txt in label_list[1]: if txt[0] == '0': txt Learn how to create various charts with pandas, such as line, bar, histogram, box, scatter, pie, and more. show() which produces the error May 10, 2017 · Legend guide. Jan 9, 2023 · Seaborn is a Python library that allows you to make statistical visualizations. set_style('darkgrid') Therefore, the only way to do this at present is to use plt. A histogram is a representation of the distribution of data. legend(loc="lower left", ncol=len(df. You can solve monkeypatching Pandas, but I don't believe it is a good idea. Nov 1, 2017 · 15. I assume you mean plotting directly from pd. randint(0, 100, (20, 2)), I have a pandas DataFrame that contains the following columns of interest: ['Relative Width', 'Relative Height', 'Object Name', 'Object ID'] There are 15 object names with 15 colors determined with df. With this method you can set the fontsize for each legend at creation (allowing you to have multiple legends with different fontsizes). plot(legend=False) plt. The following code plots two lines. どのようにすれば 5. A bar plot shows comparisons among discrete categories. And using #ax1. To plot a specific column, use the selection method of the subset data tutorial in combination with the plot() method. Even if you’re at the beginning of your pandas journey, you’ll soon be creating basic plots Jan 30, 2023 · Matplotlib で凡例をプロットの外側に配置する方法. show () Step 3: Add a Legend and Labels. Next, let’s plot the sales of each company on the same chart: import matplotlib. wrap in order to adjust your legend entries (found in this answer ), then update them in the call to ax. #. plot(legend='reverse') to achieve the same result Sometimes the order in which legend labels are displayed is not the most adequate. Plot legends give meaning to a visualization, assigning meaning to the various plot elements. See examples, options, and formatting for each plot type. columns = ['A', 'B'] #define colors to use col1 = 'steelblue' col2 = 'red' #define subplots fig,ax = plt Jul 1, 2020 · (legend=False doesn't work) import pandas as pd import matplotlib. I've tried with plt. For example: There are many other Matplotlib objects that can be used in this way. Please read about how to format questions to include code, data and images inline. Parameters: yint or label, optional. pyplot as plt x = [random. The column names appear in the legend. Keyworkd: plt. Under the hood, it uses Matplotlib and has significant integration with the Pandas data analysis library. import numpy as np. from numpy. You can use ax. The string 'best' places the legend at the location, among the nine locations defined so far, with the minimum overlap with other drawn artists. from textwrap import wrap. The pd. import pandas as pd import random import matplotlib. rcParams. I had a similar problem and what I did is the following: # first sort the values of the dataframe column you're interested. 0 is at the base the legend text, and 1. plot - there is no parameter which adjusts legend position, only if the legend is Note that pie plot with DataFrame requires that you either specify a target column by the y argument or subplots=True. 범례 (Legend) 는 그래프에 데이터의 종류를 표시하기 위한 텍스트 입니다. Of course there are alternative ways to make this work, but it appears to me that passing the labels should Jan 18, 2021 · DataFrame. matplotlib. You must generate you own legend using proxy artist instead. In the code below we've listed a few common ones. plot(kind='line') is equivalent to df. Hence, the plot() method works on both Series and I am using imshow() in matplotlib like so:. Here's a possible workaround (ugly) exploiting two different matplotlib axis: Oct 8, 2015 · Here's an example, I used df. . The attribute Loc in legend() is used to specify the location of the legend. # the legend has often numbers like '0. The font of other text could be set. In [148]: df. matplotlib の legend (凡例) の 位置を調整する. set_fontsize() or plt. You can use the . legend () function to create a legend, customize the legend’s location, font size, and other attributes, and even specify the exact labels and colors to use. plot(kind='pie', y='Hours per Year', legend = True) Then your legend should be sorted as you want it as well. This guide makes use of some common terms, which are documented here for clarity: A legend is made up of one or more legend entries. 0 is at the top. Viewed 10k times 10 I have following code to show stacked Jun 8, 2022 · df. autofmt_xdate () to try to format the x-axis nicely as per above. target (すなわち0,1,2)の花種情報を凡例に表示させたいのですが、初めの一つしか表示されません。. plot. You have a multi-level column index. Even when using pandas. Iris_datasetsをpandasデータフレームに格納されてあるデータを散布図でプロットしました。. plot() use ax. I would like to put legends inside each one of the subplots below. unstack('ID'). Working full code: import pandas as pd. 17. ndarray of matplotlib. legend I'm making a scatter plot which looks like this: (MWE at bottom of question) As can be seen in the image above the colors of the points in the legend are set to blue automatically by matplotlib. A pie plot is a proportional representation of the numerical data in a column. 1) y1 = np. You can pass multiple axes created beforehand as list-like via ax keyword. Here's my first guess. bbox は、凡例を収容する bounding box を意味します。. plot(ax=ax1, legend=False) Gives legened only for first dataframe, but is not showing any markers in legend (legend contians only text), so, if I put: ax1. legend([]) import pandas as pd import matplotlib. columns)) This is the only line I changed in your script. Create a legend with pandas and matplotlib. I have checked the legend guide but can't find any info on how to do this. Some googling shows me workarounds such as adding bbox_extra_artists=[leg. 45' label_list = [] for t in ax. The problem with the following minimal example is that it creates a legend for each axis. So you are essentially creating two lines by applying a Boolean mask to your data. Aug 28, 2014 · When plotting a plot using matplotlib: How to remove the box of the legend? plt. DataFrame. N = 45 x, y = np. pie() for the specified column. In most cases, one would probably chose to use . DataFrame([x,y]). pyplot. plot(), for example: df. But xlabel couldn't be set. How can I get around this? Jan 23, 2020 · I would like to change the fontsize of the title of my legend in matplotlib. bbox_to_anchorでは, 凡例の枠の, 図全体に対する相対的な位置を決定します。. append(h) labels. set_title () function to add a title to the legend. legend() leg. plot, and got a great answer. Ask Question Asked 8 years, 4 months ago. When you set legend labels, the first label will give to the dash line. get_legend_handles_labels(): # the first result will be all handles, i. Only used if data is a DataFrame. I want to plot only the columns of the data table with the data from Paris. columns=['a','b'] df. Uses the backend specified by the option plotting. This function calls matplotlib. legend(loc=2) with many different variations. You can fix it by following line: Mar 8, 2014 · Great answer: short code and total ordering flexibility. Call signatures:: locs, labels = xticks() # Get locations and labels. plot after the plt. For example, in the first graph, the order the labels are shown does not match the order the lines are plotted, so it can make visualization a bit harder Suppose we wanted to create a legend which has an entry for some data which is represented by a red color: import matplotlib. 'pandas' plots return AxesSubplot objects which can not be used for generating legends. 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 Dec 16, 2021 · Pandas: How to Create and Customize Plot Legends. plot with subplots=True returns a numpy. plot accessor: df. show() Edit Mar 14, 2013 · Or you can draw the legend by yourself: import pylab as pl drawdata. randn(10,3), columns=['tally', 'costs', 'other']) DataFrame. e. The pandas object holding the data. random import randn,randint. ylabel or position, optional. Within the call, you create relevant artists (using relevant properties from the legend and/or orig_handle) and add them into the handlebox. Jing Zhang. plotに複数のlegendを表示する方法. Coordinates for the X axis. legend(loc='lower left') to put the legend in the lower left. 이 페이지에서는 그래프에 다양한 방식으로 범례를 표시하는 방법에 대해 소개합니다. Since it is a figure legend, it will be placed at the corner of the figure, and the loc argument is relative to the figure. df = pd. It will automatically try to determine a useful number of legend entries to be shown and return a tuple of handles and labels. This allows more complicated layouts. I had asked a question previously about how to plot different columns from a pandas dataframe on separate subplots here: Plot multiple lines on subplots with pandas df. subplots() # plot pd data-frame, I don't want this to show legend df. Its plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and Jul 21, 2015 · Maybe you have a good reason to do it your way, but if not, this is much easier: In [1]: import pandas as pd. In your case something like: plt. plot(x='xs', y='ys', ax=ax, kind='line', legend=False) # these In [148]: df. 375, 0. plot(kind='bar', ax=ax) #ax = df. line(x=None, y=None, **kwargs) [source] #. It should be just 'green', 'blue' and 'red' with the corresponding color. Draw a stacked area plot. transFigure, you The solution below used pandas to group the sizes together into set bins (with groupby). R. plot(kind='bar') # "same" as above ax. randn(24*3, 2), index=pd. legend but it didn't work. This guide makes use of some common terms, which are documented here for clarity: legend entry. See Axes. ¶. transFigure) With bbox_to_anchor and bbox_transform=plt. This function wraps matplotlib. Seaborn helps you explore and understand your data. # Optional, just better looking. set_xlabel() parameter. Oct 15, 2015 · To change the labels for Pandas df. (0, 0) は左下隅、 (1. plot(subplots=True, layout=(2, -1), figsize=(6, 6), sharex=False); The required number of columns (3) is inferred from the number of series to plot and the given number of rows (2). Comment for the sake of clarity: the numbers of the order vector are the old positions of the labels and the slot in the vector is the new position: order=[0,2,1] means the first label "0" remains the first, "first array slot"; the third label "2" goes to the second position, "second array slot"; and so on. import random. scatteryoffsets iterable of floats, default: [0. show() Edit. DataFrame. legend(title="Line", loc='upper left', reverse=True) The default is reverse=False (the previous behaviour)—setting it to reverse=True will now show the entries in the legend in the same order as the stacked bars. x=DataFrame(randn(100). legend(). plot(legend=False) pl. Total running time of the script: (0 minutes 1. get_legend_handles_labels()): handles. Automated legend creation #. If passed, will be used to limit data to a subset of columns. Next, let’s add a legend and some axes labels to make the plot easier to Sep 18, 2019 · I am trying to get the legend right on the figure below. An entry is made up of exactly one key and one label. As the comments indicate, you have to use plt. May 9, 2014 · To display the legend outside of the plot in matplotlib, you can use the bbox_to_anchor papameter along with the loc parameter of the legend function, here's how you can modify your code to achieve that: df3. random. Additionally, you can use the . pyplot as plt xs = [i for i in range(1, 11)] ys = [i for i in range(1, 11)] df = pd. Since I just encountered one, I added a new answer below. data_sorted = data. area(x=None, y=None, stacked=True, **kwargs) [source] #. But it is all over the place. pyplot 모듈의 legend () 함수를 사용해서 그래프에 범례를 표시할 수 있습니다. imshow(mat, origin="lower", cmap='gray Seaborn is a library for making statistical graphics in Python. Make plots of Series or DataFrame. Jan 10, 2024 · Matplotlib. New in version 0. One line is for values that are False (shown as 0 on the legend above), the other for values that are True (shown as 1 on the legend above). Axes object, which you can use to manipulate a legend. The colored/patterned marker to the left of each legend label. A legend is made up of one or more legend entries. legend(fontsize="x-large") # using a named size. If not specified, the index of the DataFrame is used. Rate') for h,l in zip(*ax. 凡例を表示する plt. import pandas as pd. # The slices will be ordered and plotted counter-clockwise. The method takes a number of arguments for controlling the look of the plot: On DataFrame, plot is a convenience to plot all DataFrame. import numpy as np import matplotlib. Feb 28, 2020 · I have also tried setting up separate axes first. By default, matplotlib is used. Patch(color='red', label='The red data') plt. plot(range(10)) lg = ax. pyplot as plt #plot each series plt. gca() ax. plot (df[' B ']) plt. Use the answers to How to put the legend out of the plot to place the legend in an appropriate location. Jan 2, 2020 · I'm trying to plot a figure by pandas. With the suggestion from atomh33ls: The legend position is fixed, however it seems to have a problem with the strings, because each letter is placed in a new line. pyplot as plt import 这里我们使用pandas. the code is below: import pandas a Jan 16, 2013 · Set legend position when plotting a pandas dataframe with a second y-axis via pandas plotting interface. The plot's legend display by default, however, we may set the legend argument to false to hide the legend. The reason for that is that the legend resides in the first (lower) axes. plot(kind='line') plt. get_frame(). rand(2, N) c = np Nov 8, 2013 · Maybe add these information to the legend. legend documentation. Nov 6, 2023 · Creating and customizing plot legends in Pandas is a simple process. legend(fontsize=20) # using a size in points. The artists needs to be scaled Apr 12, 2022 · pandasの. Bar Plot Matplotlib legends in subplot. pyplot as plt np. I have used the binning recipe from this question. get_legend(). import matplotlib. 2. So, for your example, something like: Apr 8, 2021 · Step 2: Plot Multiple Series. randint(10,20) for r in range(100)] y = [random. Suppose you have a dataframe named df with n columns and you want to plot its columns. Below is a rapid example: import matplotlib. May 3, 2015 · I'm not aware of a way to change the color of the symbols (I also don't exactly understand why you would do it; if the color in the legend is different than the color in the plot, it kind of defeats the purpose of a legend) – Mar 23, 2019 · If you can afford to plot using pandas, you can just use df. 7) now provides this feature out of the box: plt. legend. pyplot as plt. 0. Generate Kernel Density Estimate plot using Gaussian kernels. hist(), on each series in the DataFrame, resulting in one histogram per column. set_linewidth(0. pyplot as plt fig, ax = plt. artist. 0) Oct 2, 2016 · You can access the legend defined on the ax instance with ax. get_legend_handles_labels() only gives me the "first" legend, which I added to the plot with plt. set_title(fontsize='large') plt. If subplots=True is specified, pie plots for each column are drawn as subplots. By default uses the index. plot(c='Object ID') that produce the following figure: I want to display a legend with the 15 object names, how this can be done? May 23, 2017 · with the help of this question, I am able to set title for the plot. I have modified your code: import pandas as pd. iloc[0:30]. """. pyplot as plt fig = plt. How to centre line graph with bar graph in MatPlotLib? 1. 図全体の左下を (0, 0), 右上を (1, 1)としたタプルで与えます。. Plot Series or DataFrame as lines. To add two patches you can do this: import matplotlib Aug 19, 2017 · Note that the first axes is given as argument to the second pandas plot (ax=ax) and no legend is added via pyplot (it comes automatically through pandas). That answer does not give any information on adding a label/title to a Mar 11, 2023 · In the case where you are plotting multiple lines simultaneously with a Pandas dataframe and the Pandas plot method, it's not as easy to control which lines make it onto the legend. legend には3つのパラメータがあります. However, the following equivalent code shows None as legend, even though the labels are explicitly set. rotation=45, horizontalalignment='right', fontweight='light', fontsize='medium', Here is the function xticks [reference] with example and API. plot()メソッドを使用すると、簡単にDataFrameをグラフ化することができます。プロットするデータの指定方法、グラフの種類変更や軸の設定、Matplotlibとの連携について、サンプルコード付きで詳しく解説しています。この記事で、plotメソッドの使い方を一通り把握することができると思い Jul 5, 2021 · Ok I split it out and saved off the pivoted_frame, then put plt. Here is my code. # Generate random data. Putting it all together (besides the special chars - I had some problems activating TeX), try the following code: # -*- coding: UTF-8 -*-. plot(style='b', label='Suc. 1. The object for which the method is called. Specify the ncol parameter in legend. 450000007', the following snippet turns those in '0. patches as mpatches. show() displays the correct plot with a legend outside it. This legend guide is an extension of the documentation available at legend() - please ensure you are familiar with contents of that documentation before proceeding with this guide. # Create dummy dataframe. legend() tells you what data is being plotting: You are using someBoolean as the hue. import seaborn as sns. Again, please don't close this question (as was this one) it's not a duplicate of the answer linked above. plot (df[' C ']) #display plot plt. In case subplots=True, share x axis and set some x axis labels to invisible; defaults to True if ax is None otherwise May 10, 2021 · plot. This legend guide extends the legend docstring - please read it before proceeding with this guide. columns) but the chart still shows up without them when I do plt. edited Sep 25, 2023 at 10:24. A legend will be drawn in each pie plots by default; specify legend=False to hide it. Method 1: specify the fontsize when calling legend (repetitive) plt. plot(). # some data. Whether you’re just getting to know a dataset or preparing to publish your findings, visualization is an essential tool. plt. plot(), use. plot (): Labels do not appear in legend. Now I'm trying to maximize use of space on the plot, and the legend is proving to be a problem. Dec 18, 2016 · pyplot. gcf(). To be precise, this is not really the correct answer since using . It builds on top of matplotlib and integrates closely with pandas data structures. legend(["AAA", "BBB"]); Apr 20, 2011 · If you want to plot a Pandas dataframe and want to remove the legend, add legend=None as parameter to the plot command. Mar 22, 2023 · 5. ax3 couldn't use axes. Allows plotting of one column versus another. plot (df[' A ']) plt. legend(handles=[one, two, three], loc=4, fontsize='small', fancybox=True) legend. May 28, 2017 · Plotting Legend On Pandas Plot. line(). gca(). Dec 13, 2019 · pandas. Label or position of the column to plot. One axis of the plot shows the specific categories being compared, and the other axis represents a measured value. sin(x) y2 = np. legend(handles=[red_patch]) plt. legend_elements method. The legend in Seaborn is a box that provides descriptions of the different attributes of the graph, including which colors represent which attributes. The problem may then be that the legend is hidden by the bars. legend=False. to_list(),fontsize=20) The parameter fontsize modifies the size of the legend. legend(loc="upper right") which will gather all handles from all subplots in the figure. date_range('1/1/2019', periods=24*3, freq='h')) df. legend(numpoints=1) Markers are added to the legend, but legend entries for dataframe1fit plot are visible too (legend=False has no effect). plot() in this case. show() This is not a duplicate of this answer which only states how to place a legend on the figure. import pylab as pl. Python’s popular data analysis library, pandas, provides several different options for visualizing your data with . Axes; The easiest way to access each subplot axes is to flatten the array, and iterate through each. It plots each group and assigns it a label and a size for the markers. plot() automatically draws a legend, so it needs to be removed afterwards. 05, 1) の位置に配置されます。. But two main problem arise: 1) My legend does not appear as I intend (even trying to plot a extra point out of the range of the figure I can't give them a name - workaround) 2) the plot with the average and errorbars is not superposed. the dots in the legend # the second result will be all legend text label_list. seed(42) df = pd. mc pz ba jk rz wa qp dp po mm