index so both will have the same order. I would like to create a seperate pie chart for both "Gender" and "Country" to show how many times each option shows up in the data but I'm quite confused about how to do so. However, it only changes the font-size of the percentage labels inside pie, and the labels outside remain un-affected. scatterplot(). The method allows you to add and customize a title. Set one of the three available Axes titles. In this example, we are going to set the title using set_title () function. The line plotted through the remaining data will be continuous, and not Nested pie charts can create bar, pie, and line charts. countplot(x="LoanStatus",data=df) EXPECTED: A pie chart showing how many values are there with both the loan status along with the percentage. This example creates a radar chart, also known as a spider or star chart [ 1]. let’s create pie chart in python. 3f" % num # f represents a float. It's possible to get a polygon grid by setting GRIDLINE Jan 18, 2019 · One with a pie chart of matplotlib pyplot and the other with seaborn barchart. data = [44, 45, 40, 41, 39] Mar 7, 2024 · Let’s create a very simple pie chart using the Python library matplotlib. sharex, shareybool or {'none', 'all', 'row', 'col'}, default: False. axes(). Instead of . subplots_adjust(top=0. If the need for a pie chart is unambiguously determined, let's proceed to place the legend. set_ylabel('') will not work because you dont have import matplotlib. 1f' # display the percentage value to 1 decimal place. pie(x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0. Matplotlib can display plot titles centered, flush with the left side of a set of Axes, and flush with the right side of a set of Axes. sizes = [15, 30, 45, 10] Aug 20, 2020 · 1. matplotlib - pie chart label customize with percentage. The bar chart uses a hierarchical structure to compare many data points. 9. Oct 11, 2016 · You can try Seaborn's Pie Plot. Control the labels and titles for axes, legends, and subplots. labels and ticks) on the topmost x-axis: Automatic positioning can be turned off by manually specifying the y Feb 21, 2019 · Pareto Plot With Matplotlib. title() customizes the title of the graph; plt. Syntax: set_title (“Label”) Code: Output: Example 2: Increase font size of the title. Add circle at the Center of Pie chart. 各要素の大きさを配列で指定。. Dec 26, 2021 · The area of the slices is equal to the percentage of the parts of the data. Figure. subplots(nrows=1, ncols=2 Oct 6, 2018 · I'm sure this is somewhere in SO but I can't see to find it anywhere. # Pie chart, where the slices will be ordered and plotted counter-clockwise: l = 'Frogs', 'Hogs', 'Dogs', 'Logs'. Note. All you have to do is use kind='pie' flag and tell it which column you want (or use subplots=True to get all columns). Jan 8, 2020 · Override Matplotlib pie chart percentage labels to a specific value that doesn't sum to 100%. Output. DataFrame. pyplot as Apr 11, 2023 · To create pie charts, we need the Seaborn barplot() function to display data in a bar chart format, which will then be transformed into a pie chart. boxplot(data=df, x='var1', y='var2'). 13. Draw a stacked area plot or a streamgraph. However, it is the first The distributions module contains several functions designed to answer questions such as these. Jun 3, 2023 · Step 2: Making sure, a pie chart is needed. DataFrame(y) fig, axes = plt. I am able to do this in a count plot but unable to do it in a pie chart - COUNT PLOT: sns. Parameters: nrows, ncolsint, default: 1. The pie function does not take lists or arrays as input for the pctdistance argument. Integration with Pandas - Seaborn is designed to work seamlessly with Pandas DataFrames, making it easy to visualize data directly from a dataset. 4. Next, plot the pie chart using Matplotlib. When you call ax. import textwrap. . Create a pie chart: We can create a pie chart using the pieplot() function of Seaborn. Syntax: wedgeprops : [dict | None] Parameters: dict: It is the property and its value. If you want the labels sorted, you could first call sizes = sizes. Parameters: x1D array-like. import seaborn. # create the pie chart ax = wimbledon_wins_count. You can use labels = sizes. It displays the relative proportions of each data point within the hierarchy. All you have to do is to import the library and play around with it: import seaborn as sns For starters, here's the dataset's top 5 rows retrieved by the head() method: The dataset has 3 classes: Radar chart (aka spider or star chart) #. pie (x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0. Many people don’t like them and would suggest using a bar chart instead. choice(list('abcddef'), 1000)}) fig, ax = plt. 88) See answer below about fontsizes; Example code taken from subplots demo in matplotlib docs and adjusted with a master title. random. Mar 13, 2024 · The reason for this is that . For semantic variables, the value sets the legend title. set_title() method to add a simple title to a chart: # Adding a Title import Mar 14, 2019 · I have a pie chart that looks like: I tried increasing the font size using textprops={'fontsize': 18}). In many cases pie charts are not the best way to convey information. Each of the following calls is legal: stackplot(x, y) # where y has shape (M, N) stackplot(x, y1, y2, y3) # where y1, y2, y3, y4 have length N. I have tried using the solution from Not plotting 'zero' in matplotlib or change ze Apr 8, 2021 · To add a title to a single seaborn plot, you can use the . For example, let’s create a pie chart of some random data. In that way the distance between title and plot increases. print "1. set(title='Title of Plot') To add an overall title to a seaborn facet plot, you can use the . Text object, whose underlying associated Figure object can be accessed using the . , 0. Matplotlib’s function pie() needs only two parameters to draw a pie chart: labels: the categorical labels. You may position the texts manually using a predefined list of pctdistances. Plot a pie chart. Giới thiệu. set_ylabel. For this section, I will use a line graph to visualize sales the grocery store during the time of 2 years 2014 and 2015. Go to the end to download the full example code. show(), write following command: #The standard value of 'top' is 0. pyplot as plt %matplotlib inline Visualize data Line Chart. 1. style tools discussed in Customizing Matplotlib: Configurations and Style Sheets, and Matplotlib is starting to handle Pandas data more seamlessly. In this post I demonstrate how to create a Pareto plot in Python with matplotlib. 000 = %1. Under the hood, Seaborn uses Matplotlib, which allows you to customize the titles to a great extent. objects. com May 24, 2024 · Seaborn: Seaborn is built on top of Matplotlib and provides a higher-level interface for creating statistical graphics. In: split_title_line ('Primary school completion in the country as % of girls') Out: Primary school completion in the country as % of girls For your question to split titles in matplotlib or so, you can add this ax. Series(browser2) y = pd. linewidth, same with linestyle) it change this for shadow that is beneath chart, not for wedges itself. You can also do this with floats and you can choose how many decimal place it will print: num = 2. Default style - built-in themes and color palettes. title("Test", fontname="Times New Roman Bold") You can find a list of fonts on your system here: How to get a list of all the fonts currently available for Matplotlib? I have: >>> [i for i in matplotlib. suptitle(title) When using fig. 2f' # display the percentage value to 2 decimal places. #. For example, autopct = '%. Any and all help is much appreciated! Nov 28, 2018 · 1. add_subplot(111) # Data to plot. Example: {‘linewidth’:2} or {‘edgecolor’:’black’} Default value: None. Explore the world of writing and self-expression on Zhihu's column platform, where creativity meets freedom. wedgeprops=dict (width=. Bar of pie. Matplotlib makes easy things easy and hard things possible. May 3, 2017 · print "1 + 1 = %i" % num # i represents an integer. They argue that it can be difficult to see the largest slice when the top two slice sizes are nearly the same amount. font_manager. 6, shadow=False, matplotlib. Alternatively, the groups. gives: 1. 各要素のラベル。. Bar chart on polar axis. axes. 3. Đây cũng là những điểm mình cần biết khi vẽ Packed-bubble chart; Patheffect Demo; Print Stdout; Rasterization for vector graphics; Set and get properties; SVG Filter Line; SVG filter pie; Table Demo; TickedStroke patheffect; transforms. May 6, 2015 · Using pandas you can still use the matplotlib. We’ll use the for loop to iterate rows and create a pie chart for each of them. The radial distance at which the pie labels are drawn. pip install matplotlib. In our example, it’ll be the age groups. 構成割合を Plot a pie chart. Let’s use the attributes below to customize the titles used in Seaborn: plt. Plotting masked and NaN values — Matplotlib 3. show() In your example, plt. Series. autopct = '%. 8. Copy to clipboard. pie keyword labeldistance to remove the wedge labels. Draw pie charts with a legend. . subplots(figsize=(3, 3)) ax. set_title(split_title_line(r'Normalized occupied Neighbors', max_words=2)) Hope that everyone benefits from this. set_title("Distribution of Wimbledon Victories 2015-2019") Output: Jul 20, 2021 · The Python data visualization library Seaborn doesn’t have a default function to create pie charts, but you can use the following syntax in Matplotlib to create a pie chart and add a Seaborn color palette: import matplotlib. import matplotlib. com. Conclusion. Before showing the plot, i. Output: In the above code, we have used the pastel Jun 26, 2020 · amount_of_TP_ner_tags # this is the dictionary I want to plot. We have to pass the input data and the color pallet to create a pie chart. y: A sequence of datapoints to be represented as bars. Plot. The data is assumed to be unstacked. Here we are increasing the size of the font using fontsize attributes. Values can be one of the following types: For coordinate variables, the value sets the axis label. findSystemFonts(fontpaths=None, fontext='ttf') Jul 24, 2022 · Let’s draw our first pie chart to do that. Scatteplot is a classic and fundamental plot used to study the relationship between two variables. So, the order of rows is different in the two charts. Besides, we can add new dimensions by using nested rings. Example 1: At first, the pyplot module of matplotlib package is imported. However, we can create a pie chart using Matplotlib and add a Seaborn color palette. Customize visual style and layout. In addition to hashcode55's code: When you want to avoid making multiple DataFrames, I recommend to assign integers to your feature-column and iterate through those. pyplot as plt in your code, so plt doesn't exist. For example, here’s how to add a title to a boxplot: sns. suptitle () function. Employee = ['Roshni', 'Shyam', 'Priyanshi', See full list on pieriantraining. Placing the legend. If you have lots of categories it can be cumbersome to manually set a colour for each category The goal is to create a pie chart based on the above data. It provides data visualizations that are typically more aesthetic and statistically sophisticated. Example (replacing the ax. There are several different approaches to visualizing a distribution Jun 3, 2022 · We can add axis titles using the following methods: . Matplotlib is a library in Python that enables users to generate visualizations like histograms, scatter plots, bar charts, pie charts and much more. I want to increase fontsize of labels A, B,C etc in above pie chart. head (8) instead of table. 0. Bài 7: Trực quan hoá dữ liệu với Matplotlib và Seaborn. 1. Feb 16, 2023 · Matplotlib vs. First, I will transform the data frame a bit to get the items counted by month and year. Plot 2D data on 3D plot; Demo of 3D bar charts; Create 2D bar graphs in different planes; 3D box surface plot; Plot Dec 17, 2020 · Given below are two such examples to set a border to the wedges of the pie chart. Jul 18, 2016 · Use this if you want to create quicker arrangements of subplots. 9, #tune a lower value, e. May 18, 2022 · 本教程将讨论使用 Matplotlib 的 pie 属性和 Seaborn 的颜色托盘创建饼图。 在 Seaborn 中创建饼图. Python cơ bản. In conclusion, creating a pie chart with Seaborn and Matplotlib is a straightforward process that can be completed in just a Jan 16, 2021 · Yes, there's matplotlib. The fractional area of each wedge is given by x/sum(x). Parameters: x(N,) array-like. pie(sizes, labels=labels, colors=colors, Mar 27, 2023 · Creating a Simple Donut Chart. pie it returns a tuple of (patches, texts, autotexts). Title positioning. Sometimes you need to plot data with missing values. Some useful parameters of barplot() are: x: Categorical data to be represented on the x-axis. legend() has two main arguments to determine the position of the legend. Pip: package management system (it comes with Python) Jupyter Notebook: an online editor for data visualization. figure(figsize = (4,4)) ax11 = fig. 000 = 2. Once we run this code, a new window will pop up with our Pie chart inside it. set_title () method. Draw a circle of suitable dimensions. set_title('Test') Jan 12, 2024 · Seaborn’s sns. 410 seconds) Sphinx. If not None, is a len(x) array which specifies the fraction of the radius with which May 30, 2018 · 9. The wedges are plotted counterclockwise, by default starting from the x-axis. 各要素を中心から離して目立つように表示。. Matplotlib: a plotting library. For example, the population corresponding to each age group. Nov 8, 2013 · Maybe add these information to the legend. Or, to have them sorted by value: sizes = sizes. たとえば、ランダムなデータの円グラフを Feb 2, 2024 · If we want to create a pie chart using seaborn in Python, we have to use the pie attribute of Matplotlib and the color pallets of Seaborn. As an example, modify your final few lines of code as follows: Nov 20, 2021 · It really depends what you mean by "center" If you mean put it in the center of the pie chart, you can use matplotlib. Let’s see how we can add and style axis labels in Matplotlib: # Adding Axis Labels to a Matplotlib Plot import matplotlib. If you have multiple groups in your data you may want to visualise each group in a different color. You can use the template below to plot the chart: FiveThirtyEight style sheet. subplot(4, 1) # etc autopct enables you to display the percentage value of each slice using Python string formatting. def wrap_labels(ax, width Is there a way to change the default position of the percent label in a matplotlib pie chart? Here is an example pie chart: Which I have created using: plt. If you use . Jul 16, 2019 · You can either: 1. set () function. legend() use. xlabel() adds an x-axis label to your plot. import numpy as np. Make a pie chart of array x. pyplot. imp = pd. Jan 10, 2024 · Matplotlib API has pie () function in its pyplot module which create a pie chart representing the data in an array. In matplotlib, you can conveniently do this using plt. sort_values (). In the example below, there is a donut representation of 2 nested distributions. eg. subplots(2,2) # "axes" will be a list of all the matplotlib. The line chart displays trends over time. Step 3: Plot the Pie Chart using Matplotlib. May 2, 2024 · This means that even when creating a plot using Matplotlib or Seaborn, we will use Matplotlib to set the title, x, and y labels, show the graph, and manipulate other aesthetic aspects. Bar chart on polar axis May 5, 2018 · I just need help with Not plotting 'zero' values on a pie chart in matplotlib as per title using python. One possibility is to simply remove undesired data points. Make a "bar of pie" chart where the first slice of the pie is "exploded" into a bar chart with a further breakdown of said slice's characteristics. Syntax: matplotlib. subplots To create a nested pie chart, we’ll need the following: Python installed on your machine. plot(kind='pie') colors=[colours[key] for key in labels]) ax[1]. pie (subplots=True, labeldistance=None, legend=True) From the docs: labeldistance: float or None, optional, default: 1. ylabel(None) or if you create a fig, ax you can use ax. Default, they would be sorted in order of appearance. set_facecolor('lightgrey') or. Although this example allows a frame of either 'circle' or 'polygon', polygon frames don't have proper gridlines (the lines are circles instead of polygons). Labeling a pie and a donut. subplots(1, 4) # And one 4-tall column: fig, axes = plt. But for all the reasons just discussed, Seaborn remains a useful add-on. This is what you save when you use the . use('fivethirtyeight') x = np. linspace(0, 10) # Fixing random state for reproducibility np. 5) would create donuts (pie charts with holes in the center). Create publication quality plots. title() function. pie (data, explode=None, labels=None, colors=None, autopct=None, shadow=False) data represents the array of data values to be plotted, the fractional area of each slice is represented by data/sum (data). label. There's a bold times font of its own, assuming it's installed on your system: plt. Let’s go ahead and add a title to our plot. Axes objects # For one 4-long row of plots: fig, axes = plt. plot(). set_title("Daily Tips ($)") returns a matplotlib. figure property. g. update({key : val[0]}) for key, val in amount_of_TP_ner_tags. title(label, fontdict=None, loc=None, pad=None, *, y=None, **kwargs) [source] #. This will automatically add the labels for you and even do the percentage labels as well. Show Code. Total running time of the script: (0 minutes 1. suptitle(title) rather than plt. A Pareto plot is essentially a sorted bar chart in descending order that shows the cumulative total via a line. 各要素の色を指定。. # The slices will be ordered and plotted counter-clockwise. pyplot as plt x = [15, 30, 55] labels = [1, 2, 3] plt. Putting it all together (besides the special chars - I had some problems activating TeX), try the following code: # -*- coding: UTF-8 -*-. I'm also hoping to set the background colour to grey. legend(labels=labels) plt. In [1]: import pandas as pd import seaborn as sns Dec 5, 2020 · Because Seaborn uses Matplotlib under the hood, you can use any of the same Matplotlib attributes to customize your graph. Set a title for the Axes. Data. pyplot as plt import numpy as np import pandas as pd data Sep 6, 2022 · I am looking to plot this in a pie chart showing 60% of loan status is fully paid while 40% is defaulted. The available titles are positioned above the Axes in the center, flush with the left edge, and flush with the right edge. We‘ll explore: Seaborn‘s preset styles and color palettes for aesthetically pleasing graphs Create a figure and a set of subplots. Parameters: Feb 28, 2022 · Syntax to install seaborn and matplotlib libraries: pip install seaborn. Donut shape is also preferred in pie charts. Basic Pie Chart. explodearray-like, default: None. Bất kì 1 thư viện nào sử dụng cho mục đích biểu diễn dữ liệu cũng sẽ theo anatomy sau. import pandas as pd. The axes-level functions are histplot(), kdeplot(), ecdfplot(), and rugplot(). X-Axis: The x-axis measures the categories, or groups, of data in a nested pie chart. You can use this function for automatic creation of a waffle with simple parameters: def create_waffle_chart(categories, values, height, width, colormap, value_sign=''): # compute the proportion of each category with respect to the total. My code: Mar 21, 2022 · Pandas has this built in to the pd. y(M, N) array-like. text. Pandas: a library to prepare data for plotting. set(title="Daily Tips ($)"), this still returns a Text object. style. If not None, is a len(x) array which specifies the fraction of the radius with which Mar 25, 2023 · Total bill vs days of week chart Box Plot(Categorical-Numerical):-If you are familiar with the box plot you also know it’s used for 5-number summary visualization, along with that you can use 实例. pyplot as plt. Jun 12, 2022 · Plotly pie chart. This will output: 1 + 1 = 2. ylabel() adds an y-axis label to your plot. How to draw proper borders for wedges and not for Jan 2, 2023 · In order to add a title to a Seaborn chart, you can use the . For instance, we can renormalize the data into percent using Since the returned plot is a matplotlib axes object, you can apply any formatting that would work with matplotlib charts. savefig() method. 我们可以使用 pyplot 中的 pie () 方法来绘制饼图。. The vertical position is automatically chosen to avoid decorations (i. x: the number of occurrences for each label. I'm trying to alter the colour transparency or alpha for a pie chart in matplotlib. This shows an example of the "fivethirtyeight" styling, which tries to replicate the styles from FiveThirtyEight. Note that the xlabel "XLabel1 1" would normally be much closer to the x-axis, "YLabel0 0" would be much closer to the y-axis, and title "Title0 0" would be much closer to the top of their respective axes. rcParams['font. subplots: import matplotlib. offset_copy; Zorder Demo; 3D plotting. histplot functions the same as plotting a histogram with Matplotlib. If you want to show the % symbol on the pie chart, you have to write/add: Sep 1, 2020 · There are only 2 options for gender and 3 for country. Axes. 饼图在包含不同颜色切片的圆形图中表示数据。饼图中每个切片的大小取决于数值数据的比例。 饼图用于研究数值数据的比例。它显示了数据占整体的百分比。 Feb 26, 2024 · Using Matplotlib and Seaborn, you can create a pie chart in your Python code. Python3. pie が用意されています。. We’ll iterate only 8 rows in this example so we’re using table. The wedge sizes. plt. Also, each chart is representative of the respective value which data frame is sorted by. Scatter plot. df. 8) May 25, 2023 · 3. size'] = 9. In your case you can use plt. See the code below. change the textprops color to something different: textprops={'color':"blue", 'size': 10, 'weight':'bold'} You can easily manage the font size, style and color using the textprops argument in the ax. pie の概要. pie(sizes[1:], labels=labels[1:], colors=[colours[key] for key in labels[1:]]) This works to create the plot: Here we see that the labels are represented by the same colours across both plots, as desired. before plt. pie () 方法语法格式如下： matplotlib. The example demonstrates using a figure with multiple sets of Axes and using the Axes patches list to add two ConnectionPatches to link the subplot charts. Additional keywords correspond to variables defined in the plot. change the plot background color to a different color. 円グラフを作成するには、入力データとカラーパレットを渡す必要があります。. Number of rows/columns of the subplot grid. Customize the chart: We can customize the chart by adding a title, changing the font size, and adding a legend. There is however some controversy with pie charts. DataFrame({'Has_Frequency': np. Seaborn is a visualization library that is built on top of Matplotlib. pie() function. In this step-by-step guide, you‘ll learn how to make professional-quality pie charts using Seaborn. Image by the author. figure(figsize=(3, 3), dpi=72) plt. The syntax is given below: matplotlib. pie(x) plt. Seaborn is a fantastic statistical data visualization package, but does not give us the ability to create a pie chart. 1 documentation. pie (data, explode=None, labels=None, colors=None, autopct=None, shadow=False) Parameters: data represents the array of data values to be plotted, the fractional area Feb 25, 2021 · Example 1: Adding title in the seaborn chart. Donut Charts. plot(kind='pie') # set the title ax. matplotlib には円グラフを描画するメソッドとして、 matplotlib. fig =plt. We need to pass the data, labels, and colors to this function. x = range ( 1, 11 ) Nov 16, 2020 · import numpy as np import pandas as pd import seaborn as sns import matplotlib. pyplot as plt import numpy as np plt. On each chart, I sorted the data frame but based on a different column. Using this in your example to update t in the figure title: seaborn. Let's see an example of how pie plot was used to visualize the famous Iris flower data. legend(labels=labels) Complete example: import matplotlib. sort_values(x) z = pd. 0 Or you can modify the labels after they have been created. Make interactive figures that can zoom, pan, update. Here is the code to create a pie chart in Seaborn: import seaborn as sns Jul 5, 2021 · I applied your code to the example in the official reference and added the code to change the font. The data is stored in a pandas dataframe. show() function. 000. seed(19680801) fig, ax = plt. plot. They are grouped together within the figure-level displot(), jointplot(), and pairplot() functions. Seaborn. Example 1: Let’s take an example of 5 classes with some students in it and plot a pie chart on the basic number of students in each class. pyplot as plt import seaborn as sns #define data data = [value1, value2, value3, ] labels = ['label1', 'label2 Oct 24, 2017 · Got some problem with plotting a pie chart in matplotlib. xlabel() customizes the x-axis label, which defaults to the column name Dec 7, 2021 · The below function uses the textwrap standard library to break strings at spaces at the given width, with the option to break in the middle of words. Feb 14, 2018 · You can remove the labels argument from the pie and add it to the legend. However, it gives you additional functionality. Plotting masked and NaN values #. hue: Optional categorical variable to group bars Apr 20, 2023 · We've added a title to the chart using the plt. pyplot as plt # If you want a 2 by 2 grid of plots, do: fig, axes = plt. 2. align_labels wraps the x and y label functions. This way, same indexes(or category) in data frame Nov 9, 2022 · The python libraries which could be used to build a pie chart is matplotlib and seaborn. May 7, 2013 · Another possibility is to reduce the relative size of the plot with respect to the whole figure window. It combines the information of a bar chart and a pie chart into one. As I set wedgeprops in arguments (eg. set_title line): Nov 1, 2023 · While Python‘s Matplotlib library provides basic pie chart creation, the powerful Seaborn data visualization library takes it much further. For example, here’s how to add an overall title to a To create a nested pie chart, we’ll need the following: Python installed on your machine. 000 + 1. Let’s see how we can use the . tight_layout() the title must be shifted with fig. plot command returns the Axes instance, so you could use that to set the ylabel : Oct 2, 2017 · matplotlib. Aug 15, 2011 · I prefer the consistency of using fig. Creating a Donut Chart involves three simple steps which are as follows : Create a Pie Chart. pie(x,labels=labels) plt. We've displayed the chart using the plt. import matplotlib as mpl mpl. e. sort_index (). This utility wrapper makes it convenient to create common layouts of subplots, including the enclosing figure object, in a single call. items()] x = pd. In matplotlib, the pie () function is used to create a pie chart. Apr 18, 2022 · Python で seaborn を使用して円グラフを作成する場合は、 Matplotlib の pie 属性と Seaborn のカラーパレットを使用する必要があります。. To be fair, the Matplotlib team has adapted to the changing landscape: it added the plt. see above # dont use values inside a list as column values for a dataframe browser2 = {} [browser2. Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. 6, shadow Matplotlib: Visualization with Python. fig. Matplotlib 饼图 饼图（Pie Chart）是一种常用的数据可视化图形，用来展示各类别在总体中所占的比例。. Currently it's plotting properly the chart itself, but there is a small issue with its wedges. jk qu gm tn zz ne qo gm eh yy