It is very easy to plot different kinds of maps and plots of different data using Python. One such useful library in Python is Matplotlib which is very useful for creating different types of plots using the same data.
The easiest way to install Matplotlib is by using the pip command in the command-line as shown below:
pip install matplotlib
Also, we use numpy and pandas libraries for creating and using the data sets. Therefore, installing numpy and pandas library can also be done using pip command in command-line.
pip install numpy pip install pandas
To make plots creative and easy to find the located data inside the graph we use the plotly and cufflinks libraries. To use these libraries the method of installation is also the same as above mentioned libraries.
pip install chart_studio.plotly pip install cufflinks
In this article, we will create a Plotter that enables us to create different types of plots using the same data.
In this program, we first give the option for choosing the data set required to plot the graph. There are 3 options available for that using if-elif statements.
- Creating random data using 100 rows and 5 columns
- User input data set with 4 rows and 5 columns
- Upload the CSV/JSON file
The second step is to decide the plot to be plotted with the entire data set or for specific columns. And lastly, we present different kinds of plotters users want to plot their data and plot the graph accordingly.
Below is the implementation:
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