Oct 14, 2021 · i have a pandas dataframe which has dates as indexes and some columns: I would like to plot a line chart with 2 lines (let's say 'ISP.MI' and 'Ctrv'); on the x axis I need the 'Date' Ticker ...

Pandas.DataFrame.plot() per default uses index for plotting X axis, all other numeric columns will be used as Y values. So setting year column as index will do the trick: total_year.set_index('year').plot(figsize=(10,5), grid=True)

Nov 22, 2019 · I am trying to plot a multiple columns in a line graph with 'Month' as the X axis and each 'Count' as a new line. I want it to have 5 lines, 'Count-18..Count-14'. I tried plotting 1 line as a test but when I run the following code I get the following output with no graph.

Dec 1, 2023 · To plot multiple data columns in the single frame we simply have to pass the list of columns to the y argument of the plot function. In this article, we will see how we can plot multiple data columns in a DataFrame.

Nov 4, 2022 · There are two common ways to plot the values from two columns in a pandas DataFrame: Method 1: Plot Two Columns as Points on Scatter Plot. Method 2: Plot Two Columns as Lines on Line Chart. The following examples show how to use each method in practice.

Mar 27, 2025 · Let’s illustrate how to create a simple line plot using Pandas: Output: Explanation: This code creates a Pandas DataFrame df with two columns: Year and Unemployment Rate. It then plots a line chart where the Year is on the x-axis and the Unemployment Rate is on the y-axis using the plot () function. Finally, plt.show () displays the chart.

Mar 4, 2024 · Method 1: Line Plot Using DataFrame.plot() Line plots are a standard way to visualize data trends over a period or between different dataset variables. Pandas integrates with Matplotlib through the plot() method, which can create line plots for multiple columns by default, especially useful for time series data. Here’s an example:

Dec 22, 2017 · You can plot data directly from your DataFrame using the plot() method: Scatter plot of two columns import matplotlib.pyplot as plt import pandas as pd # a scatter plot comparing num_children and num_pets df . plot ( kind = 'scatter' , x = 'num_children' , y = 'num_pets' , color = 'red' ) plt . show ()

In this article, we explored two methods for plotting two columns in a Pandas DataFrame: scatter plot and line chart. We provided examples of how to create a DataFrame in Pandas and how to create a scatter plot and a line chart using Matplotlib and Pandas.

Mar 17, 2025 · Matplotlib and Seaborn are two of the most powerful Python libraries for data visualization. While Matplotlib provides a low-level, flexible approach to plotting, Seaborn simplifies the process by offering built-in themes and functions for common plots. ... [0, 1], [11, 10], label='Line 2') plots a line moving downward from (0,11) to (1,10 ...