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Just use 'bar' in kind parameter of plot. Example. series = read_csv('BwsCount.csv', header=0, parse_dates=[0], index_col=0, squeeze=True, date_parser=parser) series.plot(kind='bar') Default value of kind is 'line' (ie. series.plot() --> will automatically plot line graph) For your reference:
I'm trying to create a bar plot to compare columns V1 and V2 by the Hour. When I do: import matplotlib.pyplot as plt ax = df.plot(kind='bar', title ="V comp",figsize=(15,10),legend=True, fontsize=12) ax.set_xlabel("Hour",fontsize=12) ax.set_ylabel("V",fontsize=12) I get a plot and a legend with all the columns' values and names.
12 sie 2024 · import matplotlib.pyplot as plt # Data for plotting categories = ['A', 'B', 'C', 'D'] values = [10, 20, 15, 25] # Create bar plot plt.bar(categories, values) # Save plot to a file plt.savefig('bar_plot.png') # You can also use 'bar_plot.pdf', 'bar_plot.svg', etc. # Show plot plt.show()
pandas.DataFrame.plot.bar# DataFrame.plot. bar (x = None, y = None, ** kwargs) [source] # Vertical bar plot. A bar plot is a plot that presents categorical data with rectangular bars with lengths proportional to the values that they represent. A bar plot shows comparisons among discrete categories.
matplotlib.pyplot.bar. #. matplotlib.pyplot.bar(x, height, width=0.8, bottom=None, *, align='center', data=None, **kwargs) [source] #. Make a bar plot. The bars are positioned at x with the given align ment. Their dimensions are given by height and width. The vertical baseline is bottom (default 0).
21 lut 2021 · In this post, you’ll learn how to create Matplotlib bar charts, including adding multiple bars, adding titles and axis labels, highlighting a column conditionally, adding legends, and customizing with Matplotlib styles.
13 mar 2023 · In this tutorial, we'll go over how to plot a bar plot in Matplotlib and Python. We'll go over basic bar plots, as well as customize them and advanced stacked bar plots with examples.
