Python Matplotlib Crash Course in Hindi

Learn to install Matplotlib, run a pyplot program, and plot with NumPy arrays to create barplot, pie chart, histogram, and scatter plot, then show and save the figure.

Create a line plot from a pandas data frame using matplotlib's pyplot, plotting x and y coordinates from the data frame to visualize the data.

Learn how to add and position titles on Matplotlib plots using the built-in title method, choosing left, center, or right alignment and adjusting axis labels for clear data visualization.

Explore how to add legends in matplotlib and position them at upper left, upper right, lower left, lower right, or center, and lock parameter settings for consistent styling.

Create a bar graph with matplotlib's bar method to plot rectangular bars. Set x and y labels, and a title like student marks in mathematics, then display or save.

Create a pie chart with Matplotlib using the pie method, label slices, and format percentages to show data distributions such as north, south, east, and west.

Create a line graph using matplotlib to plot month-wise rainfall in millimetres, setting x and y axes, labels, and a title, with a Python file and pyplot as plt.

Learn to create a histogram using matplotlib's hist method, set bins, label axes, and display or save the figure with example data of student marks.

learn to create a scatter plot in matplotlib using plt.scatter to visualize the relationship between two variables, with color coding, axis labels, and a complete cricket scores example.