Stacked area chart python seaborn
You can benefit the seaborn style in your graphs by calling the Show
A stacked area chart displays the evolution of a numeric variable for several groups of a dataset. Each group is displayed on top of each other, making it easy to read the evolution of the total, but hard to read each group value accurately. In python, stacked area charts are mainly done thanks to the ⏱ Quick startHere is a quick start code
snippet to demo how the Note that here each groups are provided in its own vector of values. The basic stacked area blog post explains how to use the function from any type of data format.
⚠️ The issue with stackingStacked area charts must be used with care since they suffer a number of caveats. They are appropriate to study the evolution of the whole and the relative proportions of each group, but not to study the evolution of each individual group. For instance, it is pretty hard to understand how the green group evolves on the chart below. Can you spot if its value is increasing, decreasing or stable? Stacked Area chart with Matplotlib
💡 The baseline parameterIt is important to note that the Percent Stacked Area chart with MatplotlibA variation of the stacked area graph is the percent stacked area graph where the value of every groups are normalized at each time stamp. It allows to study the percentage of each group in the whole more efficiently. Fortunately, the Stacked Area chart with Pandas
From the webThe web is full of astonishing charts made by awesome bloggers, (often using R). The Python graph gallery tries to display (or translate from R) some of the best creations and explain how their source code works. If you want to display your work here, please drop me a word or even better, submit a Pull Request! You can use the following basic syntax to create an area chart in seaborn: import matplotlib.pyplot as plt import seaborn as sns #set seaborn style sns.set_theme() #create seaborn area chart plt.stackplot(df.x, df.y1, df.y2, df.y3) The following examples show how to use this syntax in practice. Example 1: Create Basic Area Chart in SeabornThe following code shows how to create a basic area chart in seaborn: import pandas as pd import matplotlib.pyplot as plt import seaborn as sns #set seaborn style sns.set_theme() #define DataFrame df = pd.DataFrame({'period': [1, 2, 3, 4, 5, 6, 7, 8], 'team_A': [20, 12, 15, 14, 19, 23, 25, 29], 'team_B': [5, 7, 7, 9, 12, 9, 9, 4], 'team_C': [11, 8, 10, 6, 6, 5, 9, 12]}) #create area chart plt.stackplot(df.period, df.team_A, df.team_B, df.team_C) The x-axis displays the period variable and the y-axis displays the values for each of the three teams over time. Example 2: Create Custom Area Chart in SeabornThe following code shows how to modify the colors of the area chart and add a legend with specific labels: import pandas as pd import matplotlib.pyplot as plt import seaborn as sns #set seaborn style sns.set_theme() #define DataFrame df = pd.DataFrame({'period': [1, 2, 3, 4, 5, 6, 7, 8], 'team_A': [20, 12, 15, 14, 19, 23, 25, 29], 'team_B': [5, 7, 7, 9, 12, 9, 9, 4], 'team_C': [11, 8, 10, 6, 6, 5, 9, 12]}) #define colors to use in chart color_map = ['red', 'steelblue', 'pink'] #create area chart plt.stackplot(df.period, df.team_A, df.team_B, df.team_C, labels=['Team A', 'Team B', 'Team C'], colors=color_map) #add legend plt.legend(loc='upper left') #add axis labels plt.xlabel('Period') plt.ylabel('Points Scored') #display area chart plt.show() Note that the colors argument accepts color names along with hex color codes. Additional ResourcesThe following tutorials explain how to create other common plots in seaborn: How to Create a Time Series Plot in Seaborn How do you make a stacked area graph in Python?MatPlotLib with Python. Set the figure size and adjust the padding between and around the subplots.. Create a list of years.. Make a dictionary, with list of population in respective years.. Create a figure and a set of subplots.. Draw a stacked Area Plot.. Place a legend on the figure, at the location ''upper left''.. What is a 100% stacked area chart?A 100% Stacked Area Chart is a built-in Excel chart type, with data plotted as areas and stacked so that the cumulative area always represents 100%.
What is stacked area chart?In a stacked area chart, all of the lines are stacked on top of each other over a straight baseline at the bottom of the stack. With a stream graph, the baseline is set through the center of the chart, and the areas symmetrically gathered around the central line.
How do we plot area chart using pandas?#import library.. import pandas as pd.. #add csv file to dataframe.. df = pd. read_csv('dataset.csv'). #create area plot.. areaplot = df. plot. area( figsize = (5,5), stacked= False). |