Jun 17, 2020 · With various filtering settings, the result looks like this: I'd suggest also trying ipywidgets, which have a much nicer user interface than matplotlib.widgets. You can read more about Using Interact. Using your minimal example: # Filter the data using the interactive input. df_filtered = df.loc[(pen, pencil, book) & (df['Count'] >= MinCount)]

Below is a def I created that filters the dataframe based on the player name and attempts the lineplot. df = df.copy() df = df.filter(like=player, axis=0) plt.figure(figsize=(20,6)) plt.title(player) sns.lineplot(data=ffmlDf, x="gameDate", y="points", estimator=None) …

Dec 10, 2022 · Here is a working example of filtering a DataFrame and using the filtered results to plot a chart. result: simply place your data into an ndarray and plot it with the matplotlib.pyplot or you can simply plot from a dataframe for example plt.plot (df ['something'])

Apr 9, 2025 · In this article we explored various techniques to visualize data from a Pandas DataFrame using Matplotlib. From bar charts for categorical comparisons to histograms for distribution analysis and scatter plots for identifying relationships each visualization serves a unique purpose.

Oct 5, 2024 · We can use the matplotlib library to create a chart from a dataframe with a column as a filter. Let’s see how to use the matplotlib library in Python: import matplotlib.pyplot as plt. # Create dataframe office_stuff = pd.DataFrame({ 'Date': ['01-03-2023', '01-03-2023', '01-03-2023', '01-03-2023', '02-03-2023', '02-03-2023'],

Jul 21, 2023 · Filtering the DataFrame allows you to work with a subset of data that meets your criteria, which can be extremely useful in data analysis and manipulation tasks. Command to import matplotlib

Aug 13, 2024 · In this article, we will learn about line charts and matplotlib simple line plots in Python. Here, we will see some of the examples of a line chart in Python using Matplotlib: In this example, a simple line chart is generated using NumPy to define data values.

Pandas, a powerful data manipulation library in Python, allows us to create line charts easily. In this post, we will explore how to leverage Pandas to customize line charts, making it good looking and studying available options.

I’m trying to create a matplotlib graph by filtering the index column, which in my data frame is a date time column. Here are the steps I follow to create the unfiltered graph.

Mar 4, 2024 · To plot a Pandas DataFrame, you can use Matplotlib’s plot() function, passing DataFrame indexes and values as parameters, offering more customization and control over the final plot. Here’s an example: This code produces a line graph with dates on the x-axis and values on the y-axis, with the default Matplotlib styling.