Matplotlib pie chart with percentage python. pie () functions return a pie chart plot in Python.

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