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  1. Jul 11, 2024 · Example : In this example Python code uses the pandas, numpy, and matplotlib libraries to create a sample DataFrame with ‘X’, ‘Y1’, and ‘Y2’ columns, then generates and displays an area plot with ‘X’ on the x-axis and ‘Y1’ and ‘Y2’ on the y-axis, titled ‘Area Plot’.

  2. Sep 20, 2022 · import pandas as pd import matplotlib.pyplot as plt plt.style.use('ggplot') ax = df[['Men','Women']].plot(kind='bar', title ="Population",figsize=(15,10),legend=True, fontsize=12) ax.set_xlabel("Areas",fontsize=12) ax.set_ylabel("Population",fontsize=12) plt.show()

    • Line Plot. The default plot is the line plot that plots the index on the x-axis and the other numeric columns in the DataFrame on the y-axis. Let's plot a line plot and see how Microsoft performed over the previous 12 months
    • Bar Plot. A bar chart is a basic visualization for comparing values between data groups and representing categorical data with rectangular bars. This plot may include the count of a specific category or any defined value, and the lengths of the bars correspond to the values they represent.
    • Histogram. A histogram is a type of bar chart that represents the distribution of numerical data where the x-axis represents the bin ranges while the y-axis represents the data frequency within a certain interval.
    • Box Plot. A box plot consists of three quartiles and two whiskers that summarize the data in a set of indicators: minimum, first quartile, median, third quartile, and maximum values.
  3. Make plots of Series or DataFrame. Uses the backend specified by the option plotting.backend. By default, matplotlib is used. Parameters: dataSeries or DataFrame. The object for which the method is called. xlabel or position, default None. Only used if data is a DataFrame.

  4. .plot() returns a line graph containing data from every row in the DataFrame. The x-axis values represent the rank of each institution, and the "P25th", "Median", and "P75th" values are plotted on the y-axis.

  5. Aug 23, 2023 · In this example, we use the plot () method on the DataFrame df. We specify the x-axis data using the ‘Date’ column and the y-axis data using a list of columns to be plotted. The kind parameter is set to ‘line’ to create a line plot. We also added a title, labels for the x and y axes, and a legend for clarity. 3.

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  7. Scatter plot can be drawn by using the DataFrame.plot.scatter() method. Scatter plot requires numeric columns for the x and y axes. These can be specified by the x and y keywords.

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