![]() In the above example, firstly we set the linewidth of the figure to 15 and after that, we define the data coordinates.Plt.savefig('save as png edgecolor.png', edgecolor='blue', facecolor='yellow') Let’s see an example to get a better understand of this concept: # Import Library Syntax to change linewidth and save the image with edge color is as given below: # Linewidth So, to save an image with edge color firstly, you have to change linewidth or we can say that you have to increase line width size. Programmer sometimes finds it difficult to save the image with edge color because by default linewidth is set to 0.0. Here we learn how to save a figure with edgecolor in matplotlib. Read: Matplotlib rotate tick labels Matplotlib save as png edgecolor Lastly, we use the show() method to visualize the chart.Then we use plt.savefig() method to save pie chart as an image in png form.After that, we define the data and labels and plot a pie chart by using the pie() method. ![]() In the above example, we first import the matplotlib.pyplot and numpy library.autopct: used to label the wedge with the numerical values.labels: specifies labels to each wedge.data: specifies the array of data values to be plotted.The parameters used above are defined as: (data, explode=None, labels=None, colors=None, autopct=None, shadow=False) The syntax to plot a pie chart and save it as an image is as below: # Pie chart Firstly, you have to know how to create a pie chart. Here we learn how we can save the pie chart as an image. Read: Matplotlib dashed line Matplotlib save chart as png After that use show() method which is used to generate a plot for the user in a window. ![]()
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