![]() Feel free to skip it if you have already installed matplotlib. However, a short description of the installation is provided. If you’re reading this article, it’s a good assumption that you already have matplotlib installed. Here, we will see how to plot a logarithmic graph using matplotlib. Matplotlib is a popular tool for data visualization in Python because of its versatility. Here we pass the argument edgecolor and facecolor and set their value to blue and yellow respectively.In this post, we will discuss how to plot logarithmic axes with matplotlib in Python.Then we use, plt.plot() method to plot the chart and after that, we use the plt.savefig() method to save the plot as an image.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.Once the plot is generated, we use the savefig() method to save figures in our projects directory.plot() function is used to plot a graph.After this, we define data in x and y coordinates. In the above example, firstly we import matplotlib.pyplot library.Let’s see an example of save as png: # Import Library metadata: specifies key/value pair to store in the image metadata.pand_inches: specifies padding around the image when bbox_inches is “tight”.bbox_inches: specifies the portion of the image to save.transparent: to make the background of the image transparent.format: specifies the extension of the file such as.papertype: specifies the type of paper such as “letter”, “legal” “a0 to a10”, etc.orientation: You can set the orientation of the image as Landscape or Portrait.edgecolor: specifies edgecolor of the plot as per your choice.facecolor: specifies facecolor of the image as per your choice.fname: specifies file name or file location.The parameters used are discussed as below: ![]() The syntax of the savefig() method is as below: (fname, dpi=None, facecolor='w', edgecolor='w', orientation='portrait', papertype=None, format=None, transparent=False, bbox_inches=None, pad_inches=0.1, frameon=None, metadata=None) The objective of this method is to save images to your local system memory. To save a plot or graph or a figure as png we use the savefig() method. Note: Use savefig() method before show() method. Generate Plot: By suing show() function, generate a plot to the user.Set extension of the file to “png” as your main aim is to save as png. Save as png: By using savefig() method you can save image into your system.Create a pLot: By using plot() method create a plot or you can use any other method which ever you like.Define X and Y: Define the data values used for the x-axis and y-axis.Defining Libraries: Import the important libraries which are required to save image as png and to define data (For data creation and manipulation: Numpy, For data visualization: pyplot from matplotlib).The following steps are used to save plot or graph as png are outlined below: PNG is a compressor used to compressed images into smaller sizes without losing their details. Firstly, we discuss what does “png” mean: In this section, we are going to learn about how we save a plot or graph as an image file by using the matplotlib library. Matplotlib save figure as png with high resolution.Matplotlib save png transparent background.
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