Sep 11, 2015 · To set color for each line you can use the parameter style. For example: df = pd.DataFrame({'A': [1, 2, 4], 'B': [1, 3, 9]}) df.plot(style={'A': 'r', 'B': 'g'}) Using the shortcut string notation in the form marker|line|color you can also set marker and line types:

DataFrame.plot. line (x = None, y = None, ** kwargs) [source] # Plot Series or DataFrame as lines. This function is useful to plot lines using DataFrame’s values as coordinates.

Nov 4, 2017 · I'm plotting a Pandas DataFrame with a few lines, each in a specific color (specified by rgb value). I'm looking for a way to make my code more readable by assigning the plot line colors directly to DataFrame column names instead of listing them in sequence.

Use pandas.DataFrame.plot to plot. Providing the colors in the 'color' column exist in matplotlib: List of named colors, they can be passed to the color parameter. columns=['color', 'x', 'y']) You could use groupby to split the DataFrame into subgroups according to the color: ax = grp.plot(ax=ax, kind='line', x='x', y='y', c=key, label=key) yields.

Mar 27, 2025 · Depending on the kind of plot we want to create, we can specify various parameters such as plot type (kind), x and y columns, color, labels, etc. Let’s illustrate how to create a simple line plot using Pandas: Python

In this post, we will cover several methods to plot multiple lines with different colors using matplotlib. Before we dive into the code, let’s go over some prerequisites: The simplest way to use different colors when plotting multiple lines is to specify the color keyword argument in …

Oct 7, 2024 · Plot a wide DataFrame with multiple series. Use different colors and linestyles to differentiate between series. Add labels, titles, and legends for better clarity. Improve the plot with custom markers and gridlines.

pandas.DataFrame.plot.line# DataFrame.plot. line (x = None, y = None, color = None, ** kwargs) [source] # Plot Series or DataFrame as lines. This function is useful to plot lines using DataFrame’s values as coordinates. Parameters: x label or position, optional. Allows plotting of one column versus another. If not specified, the index of the ...

Sep 23, 2024 · Learning how to plot a Pandas DataFrame with Matplotlib is an essential skill for data visualization in Python. This comprehensive guide has covered a wide range of plotting techniques, from basic line plots to advanced customizations and animations.

pandas.DataFrame.plot# DataFrame. plot (* args, ** kwargs) [source] # Make plots of Series or DataFrame. Uses the backend specified by the option plotting.backend. By default, matplotlib is used. Parameters: data Series or DataFrame. The object for which the method is called. x label or position, default None. Only used if data is a DataFrame.