To create a pie chart with Seaborn, we first need to import the necessary libraries: import seaborn as snsimport matplotlib. In this section, we have explained how to create pie charts using matplotlib. Draw a circle of suitable dimensions. pyplot as plt df = pd. 797, 3. My code: import pandas as pd import numpy as np import matplotlib. 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. Jul 10, 2024 · Plotting a Simple Pie Chart. 72,0. import pandas as pd. Jul 15, 2019 · To plot a pie chart from your DataFrame very simply, you can do: python; pandas; pie-chart; Plotting Pandas DataFrames in to Pie Charts using matplotlib. This dataframe contains two columns: one for each student’s name and another for the Jan 10, 2024 · Matplotlib API has pie () function in its pyplot module which create a pie chart representing the data in an array. There's a similar answer here, but not for a CSV dataframe and I can't grok how to adapt this to fit my dataframe. wedgeprops=dict (width=. 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: autopct enables you to display the percentage value of each slice using Python string formatting. For example: import matplotlib. Age&lt;18,['Age']] print(a) b Sep 30, 2022 · Matplotlib is a low-level library of Python which is used for data visualization. 8. Crafting a Pie Chart with Matplotlib. # library import pandas as pd. Method 3: Scatter Plot Using CSV Data Sep 24, 2021 · We can use the following syntax to create a pie chart that displays the portion of total points scored by each team: df. Just replace the array in the example with your columns. You'll probably have to do some additional formatting with the labels, but perhaps it turns out okay with your actual data: May 15, 2019 · import pandas as pd import matplotlib. I have tried playing with plt. 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). Import the required libraries −import pandas as pd import matplotlib. pie(x['number'],labels = x['users']) answered Sep 11, 2018 at 11:59. 21,0. pyplot. 11,0. The code examples and results presented in this tutorial have been implemented in a Jupyter Notebook with a python (version 3. Customize visual style and layout . value_counts() fig = plt. Jun 5, 2020 · I saw a sample from the internet to build a simple pie chart from Matplotlib but not sure how to How to plot a pie chart from an object dataframe column in python? 1. The plt. 3) kernel having pandas version 1. use('fivethirtyeight') age_df = fixed_df. pie(s, colors=plt. Rotate the Pie-chart. In the outer circle, we'll plot them as members of their Jul 11, 2024 · To plot data from a row in a DataFrame, you need to select the row and transpose it if you want each column to be treated as a separate series: # Plotting a row - ensure to select the row as a DataFrame to keep the structure. You can retrieve color codes from some matplotlib colormaps using plt. sort_values(by='Count', inplace=True) ): ignore_index=True) Example (N=10, N=5): Percentages in the legend: output: Thank you. savefig to save it: import matplotlib. 5) would create donuts (pie charts with holes in the center). update({key : val[0]}) for key, val in amount_of_TP_ner_tags. To plot a simple pie chart using Matplotlib, we need to import the necessary libraries and create a dataframe with the data we want to visualize. I believe this example should be self-explaining, however, you obviously don't need to move labels manually. You can easily plot a pie chart using the plot() function of pandas library. pyplot as plt import pandas data = load_my_data() fig, ax = plt. pie (). Pass the labels and the values as input to the function to create a pie chart counterclockwise, as in the example below. subplots(2,2) # "axes" will be a list of all the matplotlib. figure() ax = fig. 1. value_counts(). head (8) instead of table. update_traces to set other parameters of the chart (you can also use fig. Jan 16, 2021 · Yes, there's matplotlib. Pip: package management system (it comes with Python) Jupyter Notebook: an online editor for data visualization. Prepare your data in a pandas DataFrame. pyplot as pltCreate a DataFrame −dataFrame = pd. Series([1, 2, 3]) Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Let's see how it works: df. eg. cm. savefig('pie') You'll get a image named pie. Pie Chart is a great way of representing data which is a part of a whole. The rotation is counter clock wise and performed on X Axis of the pie chart. sum (). May 18, 2023 · Seaborn, a Python data visualization library, offers an easy and intuitive way to create stunning pie charts. import pandas as pd import matplotlib. iloc[0]. The pie chart drawn using the Matplotlib. I found there are two ways to create such a pie chart: 1# df. index Jan 24, 2021 · For data distribution. The startangle parameter rotates the pie chart by the specified number of degrees. The radial distance at which the pie labels are drawn. Customize labels, explode, and other parameters as needed. First of all; avoid pie charts whenever you can! Secondly, have a think about how objects work in python. Next, plot the pie chart using Matplotlib. Import Matplotlib and Pandas module, and read the excel file using the Pandas read_excel () method. Like this: Jan 22, 2024 · So, our first step is to aggregate the data: data = loans. I want to create a pie chart with numbers and % on just line 751. Jun 13, 2021 · I encourage you to checkout the matplotlib documentation for pie charts There’s an ax. Add a legend using plt. show() # Can show all four figures at once by calling plt. I'm a beginner in python and don't understand how to create a pie chart using the three columns, please help! working solution code would be more helpful! My code: Feb 2, 2024 · This article will introduce how the Python Pandas library creates a pie chart using a dataframe. Open your terminal or command prompt and type the following command: pip3 install matplotlib. items()] x = pd. see above # dont use values inside a list as column values for a dataframe browser2 = {} [browser2. Example 1: At first, the pyplot module of matplotlib package is imported. I am concerned with a single column ( fruit) from my df: I want to plot the values from fruit to a pie chart to get a visual representation of the distribution of each individual fruit. May 8, 2024 · Installation. Axes objects # For one 4-long row of plots: fig, axes = plt. 92,0. We must first import a Pandas library before creating a dataframe and saving it in the variable data_frame. read_csv("patient1. 243, 12. Matplotlib takes care of the rest, rendering a titled and labeled bar chart with plt. Plot the graph using the Matplotlib library. Here’s an example code snippet that demonstrates how to create a basic pie chart: Code: Jan 26, 2019 · To show the percentage values per slice, you can use the autopct parameter as well. The other cities that appeared less I would like to appear on the chart as "other". 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. plot(kind='pie', ). Note that pie plot with DataFrame requires that you either specify a target column by the y argument or subplots=True. 89]}) May 6, 2015 · Using pandas you can still use the matplotlib. pyplot can be customized of its several aspects. pie keyword labeldistance to remove the wedge labels. show() Explode. I have read: How can I read inputs Dec 26, 2023 · Python Chart is part of data visualization to present data in a graphical format. plot(kind='bar') # Change 'kind' as needed. pyplot as plt import numpy as np df = pd. 567, 8. For your need, you must replace: patches, texts = plt. Oct 21, 2014 · I would plot the results of the dataframe's value_count method directly: import matplotlib. We’ll use the for loop to iterate rows and create a pie chart for each of them. To begin with, ensure you’ve imported the required module using: import matplotlib. In the Enable script visuals dialog box that appears, select Enable. The pieces of the graph are proportional to the fraction of the whole in each category. Bringing everything together, this is the resultant code and the resultant chart: df = pd. 2012–2024 The Matplotlib development team. Bar chart on polar axis. get_level_values(1) Now you can turn the above values into one-dimensional arrays and plug them into your plot calls: import matplotlib. Here’s an example adapted from the matplotlib gallery: shadow=True, startangle=90) ax1. 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. I tried setting gender as a legend but then it doesn't look right. Is it possible without creating dummy numeric variables? Something like Jan 18, 2022 · 1. It provides a lot of flexibility but at the cost of writing more code. The wedge sizes. pie() 2# Dec 17, 2020 · Given below are two such examples to set a border to the wedges of the pie chart. #plt. df. plot(kind='pie', y='fruit') But this gives a TypeError: '<' not supported between instances of 'str' and 'int'. ID':'count'}) Feb 2, 2018 · I have created a matplotlib pie chart: df. figure(0) # Create first chart here. Plot a pie chart. Employee = ['Roshni', 'Shyam', 'Priyanshi', Apr 22, 2021 · Reformed 2. ¶. colors. agg({'Animal. We have created pie chart showing distribution of data examples based on wine type from our wine dataset. Step 3: Plot the Pie Chart using Matplotlib. Add circle at the Center of Pie chart. My interactive session commands to generate the pie chart follow: 14. pie(x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0. pie () functions return a pie chart plot in Python. Jan 17, 2023 · Create a Python visual in Power BI Desktop. Series([1,2,3,4,5]) plt. autotexts: A list of Text instances for the numeric labels. I've looked into matplotlib and bokeh, but the most similar thing I've found so far is the bokeh Donut chart example, using a deprecated chart, which I don't know how to extrapolate for more than 2 levels. My issue is that when I try to plot my aggregated dataframe it keeps overlapping some of the slice labels and is making it look cluttered and unreadable. g. Mar 27, 2023 · Creating a Simple Donut Chart. Let’s see it in action : import matplotlib. To specify fractions direction of the pie chart, you must set the counterclock parameter to True or False (value is True by default). If you want to show the % symbol on the pie chart, you have to write/add: Jul 26, 2017 · 1. pyplot various states are preserved across function calls Apr 14, 2024 · 1. plt. DataFrame({'Score': [0. After you import the Python script, select the Python visual icon in the Power BI Desktop Visualizations pane. loc[df. pie(sizes, counterclock=False, colors=colors, startangle=-270) answered Feb 6, 2018 Aug 26, 2015 · Claim: My solution is save the current plot which works here, but it's not a good way to do this. import matplotlib. I had a similar problem and what I did is the following: # first sort the values of the dataframe column you're interested. The fractional area of each wedge is given by x/sum(x). To plot a pie chart pie () function will be used. pip install numpy. Using matplotlib. Below, we have created new dataframe that has information about data examples count based on wine type. pie. my_df: Jun 8, 2022 · A box plot conveys useful information, such as the interquartile range (IQR), the median, and the outliers of each data group. Mar 4, 2024 · Pie charts are a graphical representation of data that displays data in a circular graph. Currently I am using a hardcoded version, where I need to type in all the available bins. In the example below, we first create a pie chart with px,pie, using some of its options such as hover_data (which columns should appear in the hover) or labels (renaming column names). 345]}) fig = plt. show() here, outside the loop. As usual we would start by defining the imports and create a figure with subplots. pie() method is readily available for creating your pie chart. show() Note that you need to create a figure every time or pyplot will plot in the first one created. I run: df. The pie plot is a proportional representation of the numerical data in a column. pyplot as plt import pandas as pd s = pd. pie(v_counts, labels=v_counts. Label or position of the column to plot. pyplot import pie, axis, show df = pd. The label inside the plot was a result of radius=1. Steps to customize pie plot. This depends somewhat on what you mean by showing the graph as html. Let’s now create our pie chart from this aggregated data: 3. 0. For further tuning, we call fig. In this article, we will be discussing various Python Charts . Jan 5, 2022 · When not plotting straight from pandas, pie uses the colors argument, which takes a list of color codes. 46,0. However, I am looking for a solution that does this within a loop or automatically asigns the correct bins. csv') Oct 19, 2020 · ax1. Parameters: x1D array-like. show() This answer was posted as an edit to the question How to create a pie chart using matplotlib from csv by the OP plshelpme_ under CC BY-SA 4. pip install pandas. Aug 1, 2019 · I am trying to create a separate pie chart for each age bin. style. pie(x) function that makes a pie chart of array x, corresponding to the wedge sizes . Aug 24, 2022 · 2. DataFrame({'Col A': ['home', 'other', 'used', 'new', 'service'], 'Col B': [6. We'll first generate some fake data, corresponding to three groups. We can use the following arguments to customize the appearance of the pie chart: autopct: Display percentages in pie chart Aug 24, 2021 · legend=True adds the legend; title='Air Termination System' puts a title at the top ylabel='' removes 'Air Termination System' from inside the plot. colors) plt Dec 14, 2020 · The matplotlib. Parameters: yint or label, optional. groupby(by=sorted2017["Traitement"]). Assuming your counts are sorted in descending order (if not, use df. pie (data, explode=None, labels=None, colors=None, autopct=None, shadow=False) Example: Python3. Here's a common example of what I'm trying to achieve; though it doesn't have to be exact: I'm trying to create a chart that looks like this but with labels. You need to craft a new dataframe. 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. In matplotlib. update Oct 3, 2017 · My Code is: import pandas as pd import matplotlib. figure() plt. The most straightforward way to install Matplotlib is by using pip, the Python package installer. plot(kind='pie', y='Hours per Year', legend = True) Then your legend should be sorted as you want it as well. Make a pie chart of array x. 1f' # display the percentage value to 1 decimal place. figure() Here is an adaption of the code at this example to get you started with the way your data is stored. # --- dataset 1: just 4 values for 4 groups: df = pd. data_sorted = data. Simply tell matplotlib that you are working on separate figures, and then show them simultaneously: import matplotlib. In the inner circle, we'll treat each number as belonging to its own group. subplot(4, 1) # etc Plot a pie chart. plot(kind='pie', subplots=True, figsize=(6, 4)) My dataframe consists of two columns - Country and Value (% distribution) and has about 25 countries listed. pyplot as plt # If you want a 2 by 2 grid of plots, do: fig, axes = plt. With this, we come to the end of this tutorial. groupby('source')['value']. 2f' # display the percentage value to 2 decimal places. I have cumulative totals in row 751 in my dataframe. It is easy to use and emulates MATLAB like graphs and visualization. png like this: edited Aug 26, 2015 at 7:25. Nested pie charts. bar() function is used here, specifying the categories and values. csv") a=df. This is my code and I have my visualization below. org Jun 24, 2015 · I have a data frame with categorical data: colour direction 1 red up 2 blue up 3 green down 4 red left 5 red right 6 yellow down 7 blue down I want to generate some graphs, like pie charts and histograms based on the categories. Creating a Donut Chart involves three simple steps which are as follows : Create a Pie Chart. The resulting pie will have an empty wedge of size 1 - sum(x). desired_colormap_name. DataFrame(y) fig, axes = plt. explodearray-like, default: None. Pandas: a library to prepare data for plotting. 5 matplotlib. groupby(['Intake Condition']). The most straightforward way to build a pie chart is to use the pie method. This library is built on the top of NumPy arrays and consist of several plots like line chart, bar chart, histogram, etc. pyplot as plt. 5 Bar of pie. Syntax: matplotlib. groupby ([' team ']). plot. For example, autopct = '%. sum() data = data. A pie plot is a proportional representation of the numerical data in a column. figure(1) # Create second chart here. plot(kind='box', figsize=(9,6)) We can create horizontal box plots, like horizontal bar charts, by assigning False to the vert argument. If not None, is a len(x) array which specifies the fraction of the radius with which Dec 26, 2021 · The area of the slices is equal to the percentage of the parts of the data. Jul 18, 2016 · Use this if you want to create quicker arrangements of subplots. We'll use it to create pie chart. This is my code. s = pd. Jul 9, 2019 · I need to plot a pie chart using matplotlib but my DataFrame has 3 columns namely gender, segment and total_amount. The first thing you need is to import the Matplotlib and other relevant libraries like Pandas, Numpy and their sub modules. DataFrame ( { Car: ['BMW Mar 1, 2024 · Here, we load the CSV file into a pandas DataFrame and use the DataFrame directly to plot a bar chart. #. read_csv('clean_soccer. If you want to create several data series all you need to do is: import matplotlib. We can then use the `plt. sort_values(x) z = pd. The goal is to create a pie chart based on the above data. The wedges are plotted counterclockwise, by default starting from the x-axis. The dataframe (my_df): name value cscas 15 wfdce 17 ynvas 22 rebdf 36 dgref 16 ytjvs 26 qtvsa 39 wvwev 32 I need to add a new column to mark the value belong to a group, e. If subplots=True is specified, pie plots for each column are drawn as subplots. index. May 24, 2019 · I have this CSV data file, I'm trying to make a pie chart using this data. 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 May 12, 2021 · Let’s discuss the different types of plot in matplotlib by using Pandas. sort_values(['Hours per Year']) Then you plot it: # data_sorted. For more on pie charts and their formatting in matplotlib, refer to our tutorial on matplotlib pie charts. I can see a couple ways, the first and simplest is to save the figure as a PNG and then supply the path to the file in the html: Python code: import pandas as pd. Create a Simple Pie Chart Using Pandas DataFrame. pie() arguments but it only takes x and labels for data. You can rotate the pie-chart by setting a strartangle. pie() plt. Matplotlib: a plotting library. sum()) I will leave the rest to you. If no column reference is passed and subplots=True a pie plot is drawn for each numerical column independently. Series(browser2) y = pd. Create publication quality plots . groupby('city')['repayment']. sum() 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. pyplot is a collection of functions that make matplotlib work like MATLAB. When y is specified, pie plot of selected column will be drawn. This function wraps matplotlib. In matplotlib, the pie () function is used to create a pie chart. autopct = '%. You should pass the plot type as 'pie' in the kind argument. DataFrame([8,8,1,2], index=['a', 'b', 'c', 'd'], columns=['x']) # make the plot df. DataFrame({'Subjet': ['mathematics', 'chem Check out the Matplotlib gallery to explore more chart types. plot(ax=ax, kind='bar') If you want to remove the string 'pnts' from all of the elements in your column, you can do something like this: Sep 7, 2018 · 1. pie()` function to create the pie chart. We can extract the appropriate labels from the MultiIndex with its get_level_values() method: inner_labels = inner. It rotates the start of the pie chart by specified value in degrees counterclockwise from the x-axis. legend() and display the plot with plt. pyplot as plt %matplotlib notebook data = pd. See full list on geeksforgeeks. read_csv('cleaned_df. Related course: Data Visualization with Matplotlib and Python. Jun 2, 2021 · The one change I can't figure out is how to show both values and percentages on the pie slices. As mentioned in this answer, you can use all the normal matplotlib plt. Mar 28, 2022 · Issue. pie(sizes, colors=colors, startangle=-270) with: patches, texts = plt. 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() flags in the plot method as well. Dec 28, 2022 · Example 1. Import necessary libraries: import pandas as pd and import matplotlib. Shadow effect can be provided using the shadow parameter of the pie () function. What @user3100115 posted is the right way to do this. axes. Labeling a pie and a donut. subplots(1, 4) # And one 4-tall column: fig, axes = plt. Draw pie charts with a legend. This will only be returned if the parameter autopct is None. pie(sizes, explode=explode, labels=labels) plt. Pastel2. pie() for the specified column. Nov 11, 2020 · I would write your code more closely according to the link you shared. 985, 1. DataFrame({ 'Sex': ['female', 'male', 'female'], 'Smoke': [1, 1, 1]}) May 22, 2022 · I would like to visualize the amount of laps a certain go-kart has driven within a pie chart. 35. pie() function and passing the relevant column data as values, and using the index as labels if the Jan 5, 2020 · matplotlib. 6, shadow=False, Jun 26, 2020 · amount_of_TP_ner_tags # this is the dictionary I want to plot. In Matplotlib, we can create a basic pie chart using the plt. let’s create pie chart in python. In this case, pie takes values corresponding to counts in a group. This is my current solution: To create a nested pie chart, we’ll need the following: Python installed on your machine. You can use the template below to plot the chart: Jan 8, 2020 · Here's my current code values = pd. Apr 2, 2019 · I would like to plot a column of a pandas dataframe so that I can draw a pie chart in matplotlib. The syntax is given below: matplotlib. count(). add_subplot(111, projection="polar") # theta has 5 different angles, and Apr 6, 2022 · This is similar but it is dated and the code doesn't work with the current version of Pandas: Hierarchic pie/donut chart from Pandas DataFrame using bokeh or matplotlib. plot (kind=' pie ', y=' points ') Example 2: Create Custom Pie Chart. Customizing a pie chart created with px. subplots:. A legend will be drawn in each pie plots by default; specify legend=False to hide it. , creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc. 81,0. Example: {‘linewidth’:2} or {‘edgecolor’:’black’} Default value: None. Use these commands to install matplotlib, pandas and numpy: pip install matplotlib. Plot the pie chart using df. Series([False, False, True, True]) v_counts = values. Once done, the plt. A placeholder Python visual image appears on the report canvas, and the Python script editor appears along the bottom of Welcome to the Matplotlib bakery. pie(df. It helps people understand the significance of data by summarizing and presenting huge amounts of data in a simple and easy-to-understand format and helps communicate information clearly and effectively. Kushal Naidu. This example creates a radar chart, also known as a spider or star chart [ 1]. Jul 19, 2015 · Say you start with: import pandas as pd from matplotlib. subplots() data['Points']. We’ll iterate only 8 rows in this example so we’re using table. If sum(x) < 1, then the values of x give the fractional area directly and the array will not be normalized. pyplot as I then took a sum of the values for each source and passed that to plt. Mar 30, 2019 · This is my first question here, I'm quite new to Python/pandas/matplolib I have this line of code that creates a DataFrame: repartition = sorted2017. Types of Plots: Basic plotting: In this basic plot we can use the randomly generated data to plot graph using series and matplotlib. Starting with a pie recipe, we create the data and a list of labels Oct 8, 2015 · disk usage chart. . Here, we are plotting a bar graph hence using the bar () method and the show () method to display the graph. plot Apr 4, 2022 · I am using the pie chart to plot the chart for the dataframe (df). To achive this i would like to count the amount of laptime groupedby kartnumber. Matplotlib makes easy things easy and hard things possible. csv') df['sentiment']. Python3. Jan 10, 2022 · You can use matplotlib to plot the pie chart using dataframe and its indexes as labels of the chart: python; dataframe; rows; pie-chart; or ask your own question. groupby('KartNumber')['Laptime']. pie (subplots=True, labeldistance=None, legend=True) From the docs: labeldistance: float or None, optional, default: 1. Aug 21, 2018 · I'm using Jupyter notebook that is drawing a bar chart in offline mode without issues. Syntax: wedgeprops : [dict | None] Parameters: dict: It is the property and its value. 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 Apr 20, 2022 · In the second part, I would like to build a graph (of the pie type) to represent the five cities that appeared the most. pyplot as plt from matplotlib import style df=pd. Series. Python Plot a Pie Chart for Pandas Dataframe with Matplotlib - To plot a Pie Chart, use the plot. Make interactive figures that can zoom, pan, update. import numpy as np. There are several ways to do this, and the simplest is to use multiple figure numbers. Next, we need to load our data into a pandas DataFrame: Assuming I have a DataFrame that looks like this: Hour V1 V2 A1 A2 0 15 13 25 37 1 26 52 21 45 2 18 45 45 25 3 65 38 98 14 I'm trying to create a bar plot to compare plt. 2. Oct 1, 2021 · Advertisements. We will create a pie and a donut chart through the pie method and show how to label them with a legend as well as with annotations. It's possible to get a polygon grid by setting GRIDLINE A pie plot is a proportional representation of the numerical data in a column. Now it's time for the pie. subplots(nrows=1, ncols=2 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. Read up on pie charts and feel free to play around with explode, colors, shadow etc. Each pyplot function makes some change to a figure: e. I have a Pandas dataframe from reading in a CSV file and I want to quickly create a pie chart in Plotly (off Radar chart (aka spider or star chart) #. pyplot as plt import csv df = pd. show(). reset_index() We need to use the reset_index here because we need the city variable when creating our next charts. axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle. This will download and install the latest version of Matplotlib and its dependencies. I tried to do the following: 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. After reading data for the x-axis and y-axis from the excel file. wc sb td or xx kn ch zx vd yn