Pandas stacked bar chart Uses the backend specified by the option plotting. pandas. Sep 2, 2025 · Learn pandas stacked bar plots with examples. 2. com Let’s learn how to create Stacked Bar Chart Pandas visualizations. bar () function with the parameter stacked=True to create a Stacked Bar Chart. pivot_table if values need to be aggregated, otherwise use . Then swap the x and y labels and swap the x and y positions of the data labels in plt. I would like to have the 'Date' on the x axis, the 'Hours' on the y axis, and each bar to sho Generating Stacked Bar Charts from Grouped Data in Python This section details how to create effective stacked bar charts from grouped data using Python’s Pandas and Matplotlib libraries. plot () function to create a stacked bar chart quickly. agg produces a wide data set format incompatible with px. 2 Jul 23, 2025 · A grouped bar plot is a type of bar chart that displays multiple bars for different categories side by side within groups. I have multiple dataframes, and I want to plot them on the same figure in the Grouped Bar Chart view. I have a dataframe with a varying number of columns. The resulting chart will show the relative Stacked bar charts are a powerful way to present results summarizing categories generated using the Pandas aggregate commands. Area plots are stacked by default. Maybe bar chart is not the right term? How can I make the stacked bars, but have th Jul 23, 2025 · Vertical Stacked Bar Chart using Bokeh In the bokeh library, there are two types of function which is used to build a stacked bar chart which is vbar_stack () and hbar_stack () which is used to create vertical and horizontally stacked bar chart. bar method. bar () and plot. A bar plot is a plot in which, the categorical data with rectangular bars with lengths proportional to the values that they represent. plot(kind='bar', stacked=True) Aug 4, 2022 · I have data with a numeric and categorical variable. By default uses all columns Mar 8, 2024 · The output is a stacked bar chart with numeric labels on each bar segment for both subcategories. Jul 23, 2025 · Stacked Bar Charts - When you have sub-categories of a main category, this graph stacks the sub-categories on top of each other to produce a single bar. Dec 13, 2015 · How can I plot a Python Pandas multiindex dataframe as a bar chart with group labels? Do any of the plotting libraries directly support this? This SO post shows a custom solution using matplotlib, Jul 5, 2024 · In this article, we will discuss how to create a stacked bar plot in Seaborn in Python. Learn how to create a vertical bar plot with pandas DataFrame using the plot. Each sub-bar represents a level of a second categorical variable. 3. I tried to do this with ax. 0, matplotlib 3. Jan 30, 2023 · Create a stacked bar chat Just in case, you would like to plot the stacked bar chart of all those columns instead of a grouped bar chart, we could just add a stacked parameter in the pandas plot function to built it Area plots are stacked by default. Careful attention is paid to Aug 19, 2022 · Create a 100% stacked bar chart Asked 2 years, 10 months ago Modified 2 years, 10 months ago Viewed 1k times A few examples of how to create stacked bar charts using python's Matplotlib library, including how to label the individual bars and total for each bar. The Python code plots two variables - number of articles produced and number of articles sold for each year as stacked bars. Tested in python 3. This tutorial provides a step-by-step example of how to create the following stacked bar plot in Python using the Seaborn data visualization package: pandas. . barh() creates a horizontal bar chart, with the y-axis representing categories and the x-axis representing values. I am running into an issue (1) there are only 5 colors in the default colormap, so if I have more Jul 14, 2017 · I'm trying to create a stacked bar chart in pandas using time series data: DATE TYPE VOL 0 2010-01-01 Heavy 932. Dec 21, 2017 · I have a data set with three sets of data: class type, neighborhood, and visibility. Aug 26, 2024 · I have created a stacked bar chart from a pandas DataFrame object. How to add multiple annotations to a bar plot & How to create and annotate a stacked proportional bar chart for adding count and percent to a bar plot. area(x=None, y=None, stacked=True, **kwargs) [source] # Draw a stacked area plot. I have the first plot which is a stacked plot: And anot Introduction to Stacked Bar Charts and the Pandas Ecosystem Stacked bar charts are exceptionally powerful data visualization instruments specifically Sep 13, 2022 · This tutorial explains how to plot categorical data in pandas, including several examples. If you select more than one column, Pandas creates, by default, an unstacked bar chart with each column forming one set of columns, and the DataFrame index as the x-axis. 3, matplotlib 3. ylabel, position or list of label, positions, default I'm guessing this may have something to do with the left hand column being an index column. Parameters: xlabel or position, optional Coordinates for the X axis. 4. Nov 22, 2016 · two 26 three 11 dtype: int64 I have two goals: create a stacked bar chart such that the values are stacked to 4 single bins called bar, baz, foo, qux. A bar plot shows comparisons among discrete categories. This method returns a matplotlib. Below is an example dataframe, with the data oriented in columns. plot Data Example import Nov 15, 2023 · A stacked bar graph displays quantitative data, categorized into logical groups. plot # DataFrame. As you said you can use pandas to create the stacked bar plot. fillna() before calling plot. My dataset looks like this: I need to generate a different one that Feb 8, 2023 · We can use Pandas’ sort_values () function to order by Salary variable. 612903 2 201 Feb 26, 2019 · Ordering of elements in Pandas stacked bar chart Asked 6 years, 8 months ago Modified 4 years, 11 months ago Viewed 16k times Stacked bar chart # This is an example of creating a stacked bar plot using bar. plot(kind='bar', stacked=True), is the easiest way to plot a stacked bar plot. Jul 12, 2025 · Output: bar plot with low width () Multiple bar plots Multiple bar plots are used when comparison among the data set is to be done when one variable is changing. Axes or a numpy. Is it possible to make a stacked bar chart with all of these columns in the dataframe? A B C 0 3 Apr 4, 2020 · 2020-04-04 jupyter-notebook pandas pandas-plot plot python Feb 5, 2025 · Pandas — 100% Stacked Bar Chart Part 1f of Python Data Visualization by Dr. By default, matplotlib is used. 7. By default uses the index. Nov 12, 2025 · Learn how to create a stacked bar chart with labels in Python using Matplotlib. Stacked bar plots represent different groups on the top of one another. plot (kind="bar") is equivalent to DataFrame. I'm trying to create a bar chart that is both stacked and unstacked -- stacked by visibility, lined up by neighb Mar 27, 2025 · When plotting a bar chart in Pandas, you can assign different colors to bars using the color parameter. Nov 25, 2020 · I am having difficulty creating a stacked bar chart time series from my Pandas dataframe (image below). Jul 21, 2022 · This tutorial explains how to create a stacked bar chart in pandas, including an example. 5. DataFrame is the easiest way to plot a stacked bar plot. Oct 28, 2021 · A stacked bar plot is a type of chart that uses bars divided into a number of sub-bars to visualize the values of multiple variables at once. One axis of the plot shows the specific categories being compared, and the Aug 18, 2016 · I am trying to make a multiple stacked bar plot with pandas but I'm running into issues. 4, pandas 2. bar(x=None, y=None, **kwargs) [source] # Vertical bar plot. etc to January, February it doesnot plot the same Jan 27, 2020 · This is the resulting chart with df. My DataFrame df looks like this when printed to output: Grade 4a 4b 4c 5a 5a+ 5b 5b+ 5c 5c+ 6a 6a+ 6b 6b+ 6c M Jan 25, 2014 · I need to create a stacked bar chart with a large number (10 or so) categories. 36 I am trying to plot a chart with the 1st and 2nd columns of data as bars and then a line overlay for the 3rd column of data. I have tried the following code but this creates 2 separate charts but I would like this all on one chart. area # DataFrame. 4 (matplotlib is imported by Sep 12, 2020 · I've been trying to annotate each sub-amount of a stacked bar chart with its values like the picture shown above (values not accurate, just an example). Feb 28, 2023 · This tutorial explains how to create a bar chart to visualize the top 10 most frequent values in a specific column of a pandas DataFrame. axes. plot, and then iterate through the bar patches, to add the hatches. Plot the grouped bars with pandas. The colored pandas. cut and pivot for cleaner data manipulation. Mar 8, 2023 · python pandas plotly bar-chart stacked-bar-chart edited Mar 8, 2023 at 13:00 mozway 267k 13 55 106 Nov 16, 2021 · i want to plot stacked bar graph using matplotlib and pandas. It is useful for comparing values across multiple dimensions, such as tracking sales across different months for multiple products or analyzing students' performance in different subjects. I want to show a histogram of the numeric column, where each bar is stacked by the categorical variable. bar() is used to plot the graph vertically in the form of rectangular bars. bar. The important thing to remember is to shape the data into the correct format for the plot API. Use . See examples of basic plot, stacked bar chart, and custom color and subplots options. These are two very small dataframes that I would like to plot together in the same figure. plot(*args, **kwargs) [source] # Make plots of Series or DataFrame. T. Nov 23, 2024 · How to Enhance Your Pandas Matplotlib Bar Graphs with Custom Colors If you’re new to using pandas and matplotlib as a substitute for Excel to create stacked bar charts, you might run into some challenges when it comes to customizing the color scheme. When input data contains NaN, it will be automatically filled by 0. 10, pandas 1. 11. A bar plot is a plot that presents categorical data with rectangular bars with lengths proportional to the values that they represent. This guide provides a practical, step-by-step approach to mastering Stacked Bar Chart Pandas. Often the data you need to stack is oriented in columns, while the default Pandas bar plotting function requires the data to be oriented in rows with a unique column for each layer. pyplot as plt import pandas as pd Let us create some data for making bar plots. Everything else stays the same. A stacked Bar plot is a kind of bar graph in which each bar is visually divided into sub bars to represent multiple column data at once. By using Matplotlib, we can create grouped bar plots with customization options like . This method is convenient when working with real-world datasets from CSV or Excel files. My data is also grouped by another catagory (the 'STRAT' column). the 4 bars should be ordered by size. Essentially, DataFrame. Tutorial with full code, examples, and best practices for data visualization. A bar plot or bar graph may be a graph that represents the category pandas. We can easily convert it as a stacked area bar chart, where each subgroup is displayed by one on top of the others. Each vertical or horizontal bar represents one group. backend. Let us load Pandas and matplotlib to make bar charts in Python. 2k 41 169 212 In this tutorial, we will learn about how to use these Pandas methods for creating various types of bar plots, including stacked, grouped, bar plot customization, and more. Let's discuss some concepts: Matplotlib is a tremendous visualization library in Python for 2D plots of arrays. Data Category Values 0 A 10 1 B 20 Jul 28, 2020 · 1 I used the example for Discrete distribution as horizontal bar chart example on matplotlib Discrete distribution as horizontal bar chart to create a chart showing share of the vote in Shropshire elections 2017. We’ll look at the code below. ylabel or position, optional Column to plot. df. Transposing and updating the indexes to achieve px. com import pandas as … Pandas, a powerful data manipulation library in Python, allow us to create easily barplots: check this introduction to barplots with pandas. This method allows for extensive customization and interactivity. plot specifying kind='bar' and stacked=True. hist(data, Mar 9, 2022 · Change the stacked bar chart to Stacked Percentage Bar Plot Asked 3 years, 2 months ago Modified 3 years, 2 months ago Viewed 4k times Feb 10, 2019 · 1. A percent stacked bar chart is almost the same as a stacked barchart. Subgroups are displayed on of top of each other, but data are normalised to make in sort that the sum of every subgroups is 100. plot (kind='bar',stacked=True) I want to control width of bars so that the bars are connected to each other like a histogram. We’ll cover various techniques, from basic plotting to advanced customization, ensuring you can effectively represent your data. Bar Plots in Pandas The Pandas library provides two efficient methods called plot. 2) Introduction A bar plot is a graphical representation which shows the relationship between a … Nov 3, 2023 · A Stacked Bar Chart in Pandas can be created by first creating a dataframe, then assigning the data values to the x and y axes, and then using the . I can't figure out how to make a dataframe for it like pictu Learn to efficiently create stacked bar charts from Pandas dataframes. The problem is that Pandas only provides colors for up to 7 different categories. This function wraps the matplotlib area function. plot(kind='bar', stacked=True): The bars themselve look right, but how do I get the bars for Total and User next to each other, for each Parameter, best with some margin between the parameters? Oct 8, 2021 · I am trying to make a stacked bar chart where the x-axis is based on a regular number line instead of categories. Using pandas. The argument that you want to have a "seaborn plot" is irrelevant, since every seaborn plot and every pandas plot are in the end simply matplotlib objects, as the plotting tools of both libraries are merely matplotlib wrappers. By using a categorical column on the x-axis and numeric columns as values, you can show grouped bars side by side. plot. plot with kind='barh', and stacked=True. bar (). I just started using pandas/matplotlib as a replacement for Excel to generate stacked bar charts. This will display the data, with each column representing the y-axis values for the corresponding x-axis values. To produce stacked area plot, each column must be either all positive or all negative values. In this part, we will try to create a vertically stacked bar chart using the vbar_stack () function. Apr 18, 2018 · Plot stacked bar chart from pandas data frame Asked 7 years, 7 months ago Modified 5 years, 1 month ago Viewed 16k times See full list on pythoncharts. medium. How do I create stacked bar charts in Pandas? Jan 8, 2024 · To plot stacked bar plot with logarithmic scale in Pandas we can use parameters: stacked=True log=True Steps to plot bar chart - stacked and log Import matplotlib library Create DataFrame with correlated data Create the bar plot add parameters: stacked=True, log=True More information can be found: DataFrame. Create vertical and horizontal stacked bar charts, customize them, and gain insights. This short guide explains how to plot a Pandas DataFrame with both a bar chart and a line plot on the same chart. xlabel or position, default None Only used if data is a DataFrame. This streamlined method uses pd. One axis of the plot shows the specific categories being compared, and the Jul 15, 2025 · Learn how to create stacked bar charts in Matplotlib with Python. Essentially it takes Oct 24, 2021 · Image by Author The stacked bar graph above depicts that there was the highest cost in March which were mostly from freight and marketing since the rentals remain the same each month. Is there a way around this to obtain a horizontal bar chart? Do I need to convert it or specify something else in the function? Sep 28, 2021 · I am trying to plot a bar chart where I would like to have two bars, one stacked and another one not stacked by the side of the stacked one. Within each bar, different segment lengths correspond to subgroups or categories within that overall group. barh # DataFrame. dropna() or dataframe. 4 and matplotlib v3. In this example, the qux bar will have height (10+26+11=)47 and should be the first left, followed by the foo bar which has height (10+24)=34. x축에 Year, y축에 value를 보여주는 bar chart를 그리되, 월별로 bar segment를 stack해서 보려는 상황이다. The Jul 23, 2025 · Plotting multiple columns of a pandas DataFrame on a bar chart with Matplotlib helps compare data across categories. 1 For a stacked Horizontal Bar Chart, create a Bar Chart using the barh () and set the parameter “ stacked ” as True − Jul 26, 2018 · Continue to help good content that is interesting, well-researched, and useful, rise to the top! To gain full voting privileges, May 22, 2019 · I am trying to produce a stacked bar chart based on counts of different catagories (the 'Class' column in my dataframe). pandas plot의 stacked 옵션 사용 참고 링크 : Easy Stacked Charts with Matplotlib and Pandas 아래와 같은 데이터가 있다고 해보자. For example, this stacked bar shows monthly sales performance for 3 product lines: The total bar length is the total sales for that month. pivot. iloc[1:]. Jul 23, 2025 · In this article, we will learn how to Create a stacked bar plot in Matplotlib. DataFrame({ 'name': ['AA6', Jan 21, 2025 · We can use secondary axes to combine bar and line plots on the same chart with Matplotlib and Pandas. Aug 4, 2022 · Introduction to Stacked Bar Plot — Matplotlib, Pandas and Seaborn Visualization Guide (Part 2. An area plot displays quantitative data visually. bar compatibility is a somewhat involved option. In particular, there are two common problems: The default colormap offers only five colors, which means if your chart has more than five Feb 28, 2023 · This tutorial explains how to create a bar plot from a crosstab in pandas, including several examples. It sets the remaining colors as blu Nov 13, 2025 · In this tutorial, we’ll walk through how to create stacked event duration Gantt charts using Python, Pandas, and Matplotlib (with an optional interactive version using Plotly). Alvin Ang This is part of a series on: Python Data Visualization Edit descriptiondr-alvin-ang. One axis of the plot shows the specific categories being compared, and the other axis represents a 2 size produces a column with a simple row count for that grouping, its what produces the values for the y axis. Apr 29, 2018 · python stacked bar chart using categorical data Asked 7 years, 6 months ago Modified 7 years, 6 months ago Viewed 6k times May 9, 2015 · Here are two solutions to format the date tick labels of a pandas (stacked) bar chart of a time series: The first is a variation of the answer by unutbu and is made to better fit the data shown in the question; Jan 18, 2023 · I want to make a stacked bar chart from this dataframe that has 2 stacked bars, one for each color category. Nov 12, 2025 · Method 3 – Create a Horizontal Stacked Bar Chart in Python using Pandas and Matplotlib If your data is already in a Pandas DataFrame, you can use the built-in . Here is a sample code: May 1, 2019 · This is unique as I want the stacked bar chart to reflect the actual numeric value, not counts or size as per examples I have a dataframe ## create Data frame DF = pd. Oct 4, 2016 · Creating stacked bar charts using Matplotlib can be difficult. May 16, 2021 · The simplest way is to reshape the DataFrame with pandas. The below code plot the bargraph very nicely. If you want to drop or fill by different values, use dataframe. Feb 15, 2018 · I'm trying to take this pivot table and create a stacked bar chart of wins and losses by battle type. 1. In this post, we will explore how to leverage Pandas to create a stacked barplot. However when i change a,b,c,d,e,f,g,h . bar_label. Stacked Bar Chart Pandas. It can be plotted by varying the thickness and position of the bars. Pandas I am trying to create a stacked bar graph with pandas that replicates the picture, all my data is separate from that excel spreadsheet. import matplotlib. unstack produces the row and column information necessary for matplotlib to create the stacked bar graph. Using pandas v1. bar(stacked=True), or pandas. barh () for creating bar plots directly from Series or DataFrame objects. Jun 18, 2025 · Python Pandas DataFrame. pivot_table, and then plot with pandas. 612903 1 2010-01-01 Light 370. Within each of those stacked bars will be the proportion for each level, all summing to 1. In this method, after creating the initial stacked bars, we iterate over the bars and the labels using zip(). Sep 1, 2022 · How to add value labels on a bar chart for details and examples about . I have the I am making a stacked bar plot using: DataFrame. sum with the correct axis Dec 15, 2023 · plot. Parameters: dataSeries or DataFrame The object for which the method is called. Python Pandas un-stacked bar chart. Jul 23, 2025 · A stacked bar plot is a type of bar chart where each bar is divided into multiple sub-bars stacked on top of each other. Python Example with Pandas import pandas. Calculate percent Use . The process involves data aggregation using the groupby() method, reshaping the data with unstack(), and then visualizing it with Matplotlib’s plotting functionalities. Jul 15, 2025 · A Stacked Percentage Bar Chart is a simple bar chart in the stacked form with a percentage of each subgroup in a group. Step-by-step tutorial with practical examples for data visualization beginners and pros. The example Python code plots a pandas DataFrame as a stacked vertical bar chart. The easiest way to plot horizontal stacked bars is to plot the DataFrame directly, using pandas. barh(x=None, y=None, **kwargs) [source] # Make a horizontal bar plot. With positive and negative values. bar # DataFrame. Dec 23, 2016 · Putting the data into a pandas. I need to generate a 100% stacked bar chart, including the % of the distribution (with no decimals) or the number of observations. Mar 4, 2024 · One common method to plot a stacked horizontal bar chart in pandas is by utilizing the built-in plot function with matplotlib as a backend. DataFrame. To plot the Stacked Bar plot we need to specify stacked=True in the plot method. text () function. How to only plot the top n highest values in stacked bar chart in a pandas df? Asked 5 years, 6 months ago Modified 3 years, 8 months ago Viewed 10k times Oct 19, 2021 · 100% stacked bar chart We can create a 100% stacked bar chart by slightly modifying the code we created earlier. ndarray of them. Aug 2, 2022 · How to create a 100% stacked barplot from a categorical dataframe is very similar, but it requires additional steps, due to the structure of the DataFrame, which aren't required for this DataFrame. python pandas bar-chart stacked-bar-chart grouped-bar-chart edited Nov 14, 2022 at 18:09 Trenton McKinney 63. We must change the kind of the plot from ‘bar’ to ‘barh’. Matplotlib may be a multi-platform data visualization library built on NumPy arrays and designed to figure with the broader SciPy stack. The height of the bar depends on the resulting height of the combination of the results of the groups. A horizontal bar plot is a plot that presents quantitative data with rectangular bars with lengths proportional to the values that they represent. We will use the Stack Overflow Survey data to get approximate average salary and education information. The bar () and barh () methods of Pandas draw vertical and horizontal bar charts respectively. darm qqxht myucd awt yahuwcin kwwze pmf pcgi ovid ehlzm scral pao klv uclxl grtxo