Matplotlib pie chart with percentage python. The only real pandas call we’re making here is ma.
The labels are rotated to align with a ray from the center of the pie through the center of the wedge, using "rotatelabels = True" in plt. 0 to 1. Pie charts are designed to show parts of a whole, so any sum below or above 100% doesn’t represent the entire picture. The syntax of this pie function is. Jul 10, 2024 · Here’s an example code snippet that demonstrates how to add labels and percentages to a pie chart: Code: import matplotlib. r * 0. Once done, the plt. # library. Feb 2, 2018 · I have created a matplotlib pie chart: df. wedgeprops=dict (width=. x = [15, 25, 25, 30, 5] Jan 5, 2020 · In addition to the basic pie chart, this demo shows a few optional features: Note about the custom start angle: The default startangle is 0, which would start the "Frogs" slice on the positive x-axis. I'm trying to add a breakdown in service by cost with a pie chart to show how much each service makes up the total cost. ang=(p. sum()/100), startangle=90) Aug 20, 2019 · 2. How do you plot a pie chart? Jul 17, 2019 · Values instead of percentages with pie chart python. This example sets startangle = 90 such that everything is rotated counter-clockwise by 90 degrees, and the frog slice starts on the positive y-axis. This video is sponsored by Brilliant. # new coordinates of the text, 0. As you can see the pie chart draws one piece (called a wedge) for each value in the array (in this case [35, 25, 25, 15]). Filling in the correct columns to use for the pie chart and for the labels: import matplotlib. Provide this chart: a title and then using the show () method plot the chart. pyplot as plt # Some data labels = 'Frogs', 'Hogs', 'Dogs', 'Logs' fracs = [15, 30, 45, 10] # Make figure and axes fig, axs = plt. I know I can just change the "labels" to read the above as the fastest and most elegant way, but what if you do not know "sizes" until after the code is ran? Sep 8, 2022 · 2 Use circular areas with a Bubble chart. The startangle parameter rotates the pie chart by the specified number of degrees. The only mandatory argument is the data we'd like to plot, such as a feature from a dataset: [ ] import matplotlib. You can follow these steps so that you can see the count and percentages on top of the bars in your plot. Override Matplotlib pie chart percentage labels to a specific value that doesn't sum to 100%. I would like this handler to change the values of piechart. Well, as we see here, the donut is a pie, having a certain width set to the wedges, which is different from its radius. gca(). " Jun 20, 2020 · I have to plot pie chart with %age values, I am facing a problem that some value are very small and their %age is about zero, when I plot using matplotlib in python, therir labels overlab and they are not readable. Apr 24, 2023 · In this article, I'll show you how to create a bar chart, a pie chart, and a line plot to explain how you can do data visualization using Matplotlib. If not None, is a len(x) array which specifies the fraction of the radius with which Pie Chart. colors = ['#99f3bd', '#fbaccc', '#a8df65', '#ff7b54'] The pie() function in the pyplot module of matplotlib is used to create a pie chart representing the data in an array. set_facecolor('lightgrey') or. Jun 26, 2018 · 0. It's as easy as it gets. import pandas as pd import numpy as np from matplotlib import pyplot as plt def label_function(val): return f'{val / 100 * len(df 3. legend() has two main arguments to determine the position of the legend. But I haven't found out how Plot a pie chart. The Python matplotlib pyplot pie chart displays the series of data in slices or wedges, and each slice is the size of an item. fig. Check the example outputs down below. Dec 27, 2019 · The following code generates a pretty nice donut chart, but the displayed values are for %ages but not their actual values. pie, and especially the keyword argument autopct, beyond its intended use. あわせて読みたい. You can label each wedge, specify colors, and explode one or more wedges out from the center for emphasis. Then create a list of data, a list of labels, and a list of colors. So you only would need to provide a function that returns an empty string for the values you want to omit the percentage. plot(). Seaborn, a Python data visualization library, offers an easy and intuitive way to create stunning pie charts. The input data you must provide is an array of numbers, where each numbers will be mapped to one of the pie item. Sure, you can use pygooglecharts, which is a python wrapper for Google Charts. If it is a format string, the label will be fmt % pct. To create a pie chart with Seaborn, we first need to import the necessary libraries: import seaborn as snsimport matplotlib. Placing the legend. Is there a way to group the smallest values together and maybe plot them in a separate pie chart (or graduated bar) using python? Here is the code I used: import matplotlib. Sep 1, 2016 · #df is dataframe with 6 rows, with each row index being the label of the sector plt. 4%, the second largest slice is 10. I understand that it involved the autopct part of the code but I am not familiar with how to manipulate this to present the values. Data and Imports import pandas as pd # load the dataframe from the OP and set the x-axis column as the index df = df. Nested donut Mar 21, 2022 · Pandas has this built in to the pd. Basically, a bubble chart is a scatter plot with different sizes of data points. show() Instead of having the percentages on the pie slices, is there a way to put these percentages within the legend so that the legend reads: dogs, 34%. Various ways to style a pie chart. figure(figsize = (4,4)) ax11 = fig. chart. This is done with the line, labels= ['Mortgage', 'Utilities', 'Food', 'Gas'] These are the constituents of the pie chart. ). In this article, let's understand how to create pie char Dec 2, 2015 · The autopct argument from pie can be a callable, which will receive the current percentage. pi/180) 14. As you can see, the sectors kitchen & entertainment are very small. The area of the chart is the total percentage of the given data. Detailed instructions are also provided on how to customize the donut graph legend, labels, percentages, changing element coordinates, colors, colormaps, thickness, text, and more. In matplotlib, you can conveniently do this using plt. # Pie chart, where the slices will be ordered and plotted counter-clockwise: l = 'Frogs', 'Hogs', 'Dogs', 'Logs'. 0 %. 3. pie(<actual_values>, colors = colors, autopct= lambda x: '{:. Optional keyword arguments include a list of pie piece labels (label=) and if the percentages will be auto-calculated and in what format (autopct They're an intuitive and simple way to visualize proportional data - such as percentages. If it is a function, it will be called. In many cases pie charts are not the best way to convey information. Make a pie chart of array x. You wanted the wedge label and percentage inside the pie and manipulated the autopct keyword with a function to achieve To create a pie chart like the one below: Install and Import Matplotlib’s pyplot module. Just do PercentFormatter(1. May 18, 2023 · Pie charts are a popular way to represent data in a clear and concise manner. plot(kind='pie', subplots=True, figsize=(6, 4)) My dataframe consists of two columns - Country and Value (% distribution) and has about 25 countries listed. Feb 17, 2023 · A Pie Chart with percentages as labels made with the matplotlib package. Jan 9, 2024 · A Pie Chart is a circular statistical plot that can display only one series of data. First of all; avoid pie charts whenever you can! Secondly, have a think about how objects work in python. 🔥. This is nice if you have data from 0. DataFrame. The autopct parameter is where the wedges are labelled with string or numeric value. pie() function. plot(kind='pie', autopct=lambda p: '{:. Matplotlib’s pyplot module provides a pie() function that creates pie charts with a simple list of values. explodearray-like, default: None. Jan 13, 2020 · sales2 = sales. The labels around the pie don't appear (except for the biggest slice) and neither the percentage values for the smaller slices. theta1) / 2. Oct 9, 2020 · I want to show the values in my pie chart rather than the percent. pie Aug 21, 2020 · from matplotlib. Scatter plot. May 12, 2020 · resizing pie chart slices in matplotlib so that percentages are visible. In this tutorial, we will plot a pie chart using Matplotlib. rcParams['font. 2f' % pct) if pct > 20 else '' Plot with matplotlib. 1. You could loop through the labels and percentages, and append the percentage text to the label text. The label will be placed inside the wedge. We then create a variable called colors and we set each of the colors of each of the Pie Charts. theta2-p. If you want a specific order in the pie plot, you have to sort the pandas series generated by your value counts: import matplotlib. I was trying to create a pie chart with percentages next to the graph. pie(sizes, labels=labels) Each slice of the pie chart is a patches. 8, 0. Japan should have 29. The one required positional argument supplied to the ax. legend(pie[0], labels, loc="upper corner", bbox_to_anchor = (1,1)) Play around with the bbox_to_anchor to shift it around. I want to increase fontsize of labels A, B,C etc in above pie chart. The labels and sizes for these sectors are defined by labels and sizes respectively in the program. Donut charts. Jul 11, 2015 · ax. "Exploding" a segment to highlight it. with_hue function will plot percentages on the bar graphs if you have the 'hue' parameter in your plots. I think its one solution is to avoid values with zero %age and second is to seprate labels to overlap (with some arrow etc. So I guess I can add a legend showing the names and the values. Shadow effect can be provided using the shadow parameter of the pie () function. Matplotlib is a Python 2D plotting library that produces high-quality charts and figures, which helps us visualize extensive data to understand better. autopct: [ None | format string | format function ] If not None, is a string or function used to label the wedges with their numeric value. pie() method. org/cms to sign up fo A tutorial on creating pie charts in python with Matplotlib, including adding labels, changing the styles, and using custom colors. pie docs: "autopct None or str or callable, default: None. Mar 20, 2015 · 6. pie(sizes, labels=labels, autopct='%1. In the following example, we have taken four sectors. This is shown in this example and explained in the documentation. import pandas as pd. Here’s an example code that produces a pie chart with 4 slices: import matplotlib. Take an example and understand the pie chart. set_major_formatter(mtick. index. 1f%%') By default, the label values are obtained from the percent size of the slice. 0. This is done via the wedgeprops argument. Sep 11, 2018 · The pie function takes only 1 value for the size of each pie, and you'll have to explicitly specify the label as 'label = x ['users']' you can find a more detailed understanding for the parameters Here ! Therefore, your code would be like this: plt. Jun 25, 2021 · How do I change the color of percentage label to be white in pie chart without interfering the text label color using matplotlib? When I edit textprops={'size': 'x-large','color':'w'}, the text color will turn white which it is not contrast to the background. 6. Data. Kushal Naidu. If not None, is a len(x) array which specifies the fraction of the radius with which The pie matplotlib function Given a set of categories or groups with their corresponding values you can make use of the pie function from matplotlib to create a pie chart in Python. size_of_groups=[12,11,3,30] Pie Demo2. head (8) instead of table. Parameters: x1D array-like. change the plot background color to a different color. If not None, is a string or function used to label the wedges with their numeric value. ¶. pyplot as plt # Example 1: Pie Chart with Autopct labels = ['Apples', 'Oranges', 'Bananas Mar 14, 2019 · I have a pie chart that looks like: I tried increasing the font size using textprops={'fontsize': 18}). 0 plt. ang = (patch. fish, 13%. pyplot as plt. . I am surprised that I have not found a duplicate for this presumably common question. 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. split()) Jul 24, 2022 · Let's explore how to use Matplotlib function pie() to draw pie charts with customized colors, text, and percent labels. pie () functions return a pie chart plot in Python. Nov 28, 2018 · 1. The following is the syntax: import matplotlib. Oct 18, 2015 · The example code for a pie chart is given here: figure(1, figsize=(6,6)) ax = axes([0. So for example, if the pie chart has labels 60% and 40% respectively, i would like the labels to be modified to 90% and 10% upon the slider being pressed. When plotting a Pie chart from a dictionary using Python's matplotlib, I get some classes that are too mashed together because of their small size. theta2 + patch. add_subplot(111) # Data to plot. Apr 8, 2020 · also I have several more pie charts, where the labels are all over the place. Scatteplot is a classic and fundamental plot used to study the relationship between two variables. I would like to only plot the top 10 countries by values (by highest %) and within the plot, calculate the remaining countries % value and give it Nov 14, 2021 · 6. iloc[:, :-1]. 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: Jan 10, 2024 · Q. 5) would create donuts (pie charts with holes in the center). If you're looking to plot a piechart from a DataFrame, and want to display the actual values instead of percentages, you could reformat autopct like so: values=df['your_column']. Instead of just one circle on a pie chart, we can use multiple circles from a bubble chart. By default the plotting of the first wedge starts from the x-axis and moves counterclockwise: Note: The size of each wedge is determined by comparing the value with all the other values, by using this formula: May 24, 2019 · the first line of the answer goes right after the loading of the csv file (4th line). scatterplot(). Jul 5, 2021 · I applied your code to the example in the official reference and added the code to change the font. subplots() ax. 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). To begin with, ensure you’ve imported the required module using: import matplotlib. By Artturi Jalli. I have this code that gets the levenshtein distance between a correct word and it's mispelling. To specify fractions direction of the pie chart, you must set the counterclock parameter to True or False (value is True by default). Mar 9, 2021 · Python Matplotlib Exercise. value_counts(dropna=True) plt. PercentFormatter()) PercentFormatter() accepts three arguments, xmax, decimals, symbol. This example demonstrates some pie chart features like labels, varying size, autolabeling the percentage, offsetting a slice and adding a shadow. Now plot the values using the pie method. set_index('Airport') # calculate the percent for each row per = df. plot() internally, so to integrate the object-oriented approach, we need to get an explicit reference to the current Axes with ax = plt. pie(x, labels) matplotlib allows to build a pie chart easily thanks to its pie() function. The angle of each slice (and therefore the area of each slice) represents the relative size of the category. birds, 18%. 7 is the distance from the center. Please refer to the following article regarding pie charts. Aug 4, 2016 · Edit 1. For 'eleven', you could add ha = 'right' to the if angle > 90: case. pie(data, explode, labels, colors, autopct May 21, 2018 · It takes full df with zeroes, like [100,0,0] You can filter df, as un answer above but you can use lambda function in autopct as well: df1. Aug 28, 2021 · 5. a dictionary values in Python. Mar 31, 2022 · A pie chart represents the entire data set as a circle and shows each category as a pie slice. sizes = [1851, 2230] Python matplotlib Pie Chart. When you call ax. answered Apr 21, 2017 at 0:37. Source: own image. How do you create a pie chart using matplotlib? Use Matplotlib’s pie() function, providing data, labels, colors, and other optional parameters for customization. Mar 8, 2024 · Method 1: Basic Pie Chart. Feb 19, 2020 · You got yourself in trouble by using plt. +p. Show Code. add_data([398, 294, 840, 462]) # make labels for the slices. 3%. Apr 22, 2021 · Reformed 2. pyplot as plt labels = 'Frogs', 'Hogs', 'Dogs', 'Logs' sizes = [15, 30, 45, 10] fig, ax = plt. x = patch. 2. If the need for a pie chart is unambiguously determined, let's proceed to place the legend. Matplotlib API has a pie () function that generates a pie diagram representing data in an array. Crafting a Pie Chart with Matplotlib. the second one replaces ´product_data = df["Product Name;"]´. The reader can follow our complete python for data science. I'm using python and matplotlib to build a PDF cost report for AWS that gets sent out weekly. yaxis. Matplotlib is a powerful visualization library in python and comes up with a number of different charting options. subplots Nov 8, 2013 · My problem is that I have One big slice 88. pie it returns a tuple of (patches, texts, autotexts). #corresponding color-label pairs. We do this with the line, import matplotlib. index) #plot the first column of dataframe as a pie chart It generates a pie chart like this: Pie Chart with the 6 sectors. The percentage marks and labels are right in the middle of each of the pie slices, but I want these two to be moved to to a different part of the slice as indicated in the figure below, such that all labels are on the left side of the figure. plot(kind='pie', labels=sales2['Sales2016'], colors=['r', 'g', 'b'], autopct='%1. plot(kind='pie') Nov 23, 2021 · As a good practice pie chart numbers should add upto 100%. 8% labels aren’t nicely centered. 1, 0. We can extract the appropriate labels from the MultiIndex with its get_level_values() method: inner_labels = inner. The fractional area of each wedge is given by x/sum (x). as they provide a quick summary. Atan2 gives angles between -180 and 180. My code: To add labels, pass a list of labels to the labels parameter. Plot a pie chart. The pie chart comes out with the values all in Jan 30, 2020 · 2. Related course: Data Visualization with Matplotlib and Python. # Data to plot. fig, ax = plt. 1f}%'. The fractional area of each wedge is given by x/sum(x). Draw pie charts with a legend. Draw a stacked bar chart using data (dataset, dictionary, etc. The pie function does not take lists or arrays as input for the pctdistance argument. Axes. For instance: # initialize chart object, 250 x 250 pixels. format(round(p)) if p > 0 else '', subplots=True,startangle=90, legend = False, fontsize=14) edited Aug 18, 2021 at 18:26. The basic idea of the pie chart is to have the wedge labels outside the pie and perhaps percentages inside. In order to draw the matplotlib chart in Python, you have to use the pyplot pie function. Make a pie charts using pie. The size is used to calculate the angle of the sector. Sep 23, 2021 · How to avoid overlapping of labels & autopct in a pie chart (4 answers) Closed 2 years ago . The wedge sizes. 2% and 3. 0). To plot a pie chart in Matplotlib, we can call the pie () function of the PyPlot or Axes instance. Feb 25, 2024 · This article explains how to plot donut and double donut graphs in Matplotlib. pie() method is readily available for creating your pie chart. However, it only changes the font-size of the percentage labels inside pie, and the labels outside remain un-affected. autotexts: A list of Text instances for the numeric labels. # create data: an array of values. Apr 21, 2017 · plt. Pie charts can be constructed with Matplotlib's ax. 7 and 0. This Matplotlib exercise project helps Python developers learn and practice data visualization using Matplotlib by solving multiple questions and problems. pie(sizes, counterclock=False, colors=colors, startangle=-270) answered Feb 6, 2018 Dec 14, 2020 · The matplotlib. You can plot a pie chart in matplotlib using the pyplot’s pie() function. ) Matplotlib maintains a handy visual reference guide to ColorMaps in its docs. labels = 'Ruby', 'C', 'Python', 'Java'. I do not find a reliable way to label the chart with this pointing outwards style. This calls plt. This works great, but I want the percentage label that Feb 17, 2021 · 2. For your need, you must replace: patches, texts = plt. pie() method is a list of pie piece sizes. The below Matplotlib program plots a basic pie chart with the pie() function. cats, 24%. 6%, and the other slices are 0. We’ll iterate only 8 rows in this example so we’re using table. This will automatically add the labels for you and even do the percentage labels as well. We first create some dictionaries of common properties, which we can later pass as keyword argument. pie. size'] = 9. pie(x, labels = None) Apart from the above Jan 5, 2020 · matplotlib. get_level_values(1) Now you can turn the above values into one-dimensional arrays and plug them into your plot calls: import matplotlib. Mar 29, 2022 · 1. df. set_pie_labels("Lithuania Bulgaria Ukraine Romania". The pie chart im displaying, however, doesn't actually do the auto percentages. labels = 'ms', 'ps'. The required syntax for the pie() function is given below: matplotlib. chart = PieChart3D(250, 250) # pass your data to the chart object. theta1)/2. pyplot can be customized of its several aspects. This playing around with angle is rather weird. 0 Or you can modify the labels after they have been created. This way there is no need to manupulate the percentage. Wedge object; therefore in addition to the customizations shown here, each wedge can be Jun 12, 2019 · In this video, we will be learning how to create pie charts in Matplotlib. We’ll use the for loop to iterate rows and create a pie chart for each of them. iloc[:,0], labels= df. You might notice that the 6. xmax allows you to set the value that corresponds to 100% on the axis. fig =plt. Python3. The only real pandas call we’re making here is ma. 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. Pass the labels and the values as input to the function to create a pie chart counterclockwise, as in the example below. 8]) labels = 'Frogs', 'Hogs', 'Dogs', 'Logs' fracs = [15, 30, 45 Sep 1, 2020 · Here is an approach using pandas:. To draw a pie chart in Python, use the matplotlib library’s pie() function. plt. DataFrame(data) # Plot the pie chart with labels and Nov 6, 2018 · Nov 6, 2018. format(x*values. If you want the percentages in each wedge, then use the autopct keyword argument when calling the pie () function. Q. 0 and you want to display it from 0% to 100%. pyplot. This will only be returned if the parameter autopct is None. import numpy as np. Jul 26, 2018 · This is more easily implemented with matplotlib. pyplot as plt # Create a dataframe with the data data = {'Product': ['Product A', 'Product B', 'Product C', 'Product D'], 'Sales': [350, 450, 300, 600]} df = pd. May 30, 2018 · 9. Pie charts are commonly used in business presentations like sales, operations, survey results, resources, etc. Mar 21, 2024 · The dataset used in the following examples is shown below : Procedure: The procedure to draw Stacked Percentage Bar Chart is the following steps which are described below with examples : 1. If sum (x)< 1, then the values of x give the fractional area directly and the array will not be normalized. edited Apr 21, 2017 at 1:28. May 7, 2024 · It provides various functions and features to create different types of plots and charts. If sum(x) < 1, then the values of x give the fractional area directly and the array will not be normalized. The wedges of the Pie chart is returned as: patches: A sequence/ list of patches wedge instances texts: A list of the label Text instances. 7 * np. Como criar gráficos de pizza com biblioteca matplotlib, os famosos piecharts! Olá! Hoje iniciaremos mais um post sobre criação de gráficos no matplotlib! Conheça nosso canal Check out the Matplotlib gallery to explore more chart types. Go to https://brilliant. Actually, you can add the actual values beside the percentages by passing a fuction in autopct. The resulting pie will have an empty wedge of size 1 - sum(x). div(df Pass a function or format string to autopct to label slices. Jul 16, 2019 · You can either: 1. Trenton McKinney. Jun 3, 2023 · Step 2: Making sure, a pie chart is needed. pie(df. axes. Python Program. One of the useful features of Matplotlib is the autopct parameter, which allows us to display the percentage values in a pie chart or a donut chart. You may position the texts manually using a predefined list of pctdistances. import matplotlib as mpl mpl. 0f}'. cos(ang*np. Sep 16, 2021 · I have a simple pie chart with the percentage and label of each slice indicated. You might want to move autotexts of narrow wedges from the center of the wedge along the radius: # the angle at which the text is located. Click here. The first thing you need is to import the Matplotlib and other relevant libraries like Pandas, Numpy and their sub modules. 97 %, which is rounded to one decimal as 30. colors=[colours[key] for key in labels]) ax[1]. If you have multiple groups in your data you may want to visualise each group in a different color. A pie chart is used to show the proportions or percentage of a variable using the circle. import matplotlib. Dec 2, 2021 · I know in excel there is a "best fit" option that solves issues like this ( Prevent overlapping of data labels in pie chart ), but I'm wondering if there's any Python equivalent or way to equally space labels around the chart but maintain lines to slices. If you have lots of categories it can be cumbersome to manually set a colour for each category Oct 18, 2020 · Right now, I have a pie chart with the per-category spending and per-category budgeted spending that has category labels outside the pie chart. I believe this example should be self-explaining, however, you obviously don't need to move labels manually. Example. This method is straightforward and suitable for quick, basic visualizations. The wedges are plotted counterclockwise, by default starting from the x-axis. # Pie chart, where the slices will be ordered and plotted counter-clockwise: labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'. Function; def my_autopct(pct): return ('%. As an example, modify your final few lines of code as follows: Plot a pie chart. matplotlib. You'll learn to use parameters such as autopct, textprops, colors, startangle, counterclock, labeldistance, pctdistance, shadow, and explode. We will look at: A simple pie chart. The rotation is counter clock wise and performed on X Axis of the pie chart. #create labels and values for pie/donut plot. You can change pctdistance (distance between percentage) and labeldistance (distance between labels) parameter to suit your needs too. groupby(['State'])[['Sales2016']]. pie(x['number'],labels = x['users']) answered Sep 11, 2018 at 11:59. We then create a variable, labels, and set it each of the labels that we want. Alongside this pie chart i have a slider, which when pressed will invoke a handler. The best pie chart can be created if the figure and axes are square, or the aspect of the Axes is equal. The below example shows the program to construct a pie chart. sum() sales2graph = sales2. The principal problem is that the code uses a fixed list sizes=[58, 50, ] instead of using the values from the dataframe. How do I show percentages in a pie chart using matplotlib? Utilize the autopct parameter in the pie() function to display percentages on the wedges. Oct 23, 2013 · I have a piechart drawn using matplotlib. But for some really low percentages the the slices and percentages prints are way too small to see, because they overlap with the other really small percentages. sizes = [15, 30, 45, 10] Jun 26, 2020 · All I want is to get this plotted in a pie chart which shows the percentage distribution is to use matplotlib pie chart. And then remove the percentage text objects. bar_label, which is thoroughly described in How to add value labels on a bar chart. theta1. pie returns the wedges and lists of text objects for the labels and the percentages. The pie chart drawn using the Matplotlib. We then want to label the wedges via annotations. ax. pie(sizes, colors=colors, startangle=-270) with: patches, texts = plt. The data points in a pie chart are shown as a percentage of the whole pie. rt tt ix fe iw ej uo xp ne gd
