How do you plot a line and bar graph in python?
To show a bar and line graph on the same plot in matplotlib, we can take the following steps − Show
Exampleimport pandas as pd import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame(dict(data=[2, 4, 1, 5, 9, 6, 0, 7])) fig, ax = plt.subplots() df['data'].plot(kind='bar', color='red') df['data'].plot(kind='line', marker='*', color='black', ms=10) plt.show() Output
Updated on 09-Aug-2021 06:40:59
You have to expand x axis with xlim:
For future question post your dataframe.
There are many different graphs to visualize data in python and thankfully with Matplotlib, Seaborn, Pandas, Plotly, etc., you can make some pretty powerful visualizations during data analysis. Among them, the combo chart is a combination of two chart types (such as bar and line) on the same graph. It’s one of Excel’s most popular built-in plots and is widely used to show different types of information. It’s pretty easy to plot multiple charts on the same graph, but working with a dual-axis can be a bit confusing at first. In this article, we’ll explore how to create a dual-axis combo chart with Matplotlib, Seaborn, and Pandas
For the demo, we’ll use the London climate data from Wikipedia: x_label = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'] 1. Why use dual-axis: the problem using the same axisIt’s pretty easy to plot multiple charts on the same graph. For instance, with Matplotlib, we can simply call the chart function one after another. plt.plot(x, y1, "-b", label="average temp") This certainly creates a combo chart, but line and bar graphs use the same y-axis. It can be very difficult to view and interpret, especially when data are in different ranges. We can solve this issue effectively using the dual-axis. But working with dual-axis can be a bit confusing at first. Let’s go ahead and explore how to create a dual-axis combo
chart with Matplotlib, Seaborn, and Pandas 2. MatplotlibThe trick to make a dual-axis combo chart is to use two different axes that share the same x-axis. This is possible through the # Create figure and axis #1 The line chart is plotted on the 3. SeabornSeaborn is a high-level Data Visualization library built on top of Matplotlib. Behind the scenes, it uses Matplotlib to draw its plots. For low-level configurations and setups, we can always call Matplotlib’s APIs, and that’s the trick to make a dual-axis combo chart in Seaborn: # plot line graph on axis #1
You may notice that the
legend has been displayed incorrectly with the bar chart in black color. One fix we can do is to create a custom legend using import matplotlib.patches as mpatches# plot line graph on axis #1
4. Pandas plotPandas use # Create the figure and axes object Note, we also set ConclusionIn this article, we have learned how to create a dual-axis combo chart with Matplotlib, Seaborn, and Pandas
Thanks for reading. Please check out the Notebook for the source code and stay tuned if you are interested in the practical aspect of machine learning. More tutorials are available from the Github Repo. References
How do you plot a bar and line graph in Python?MatPlotLib with Python. Set the figure size and adjust the padding between and around the subplots.. Make a two-dimensional, size-mutable, potentially heterogeneous tabular data.. Create a figure and a set of subplots.. Plot the bar and line with the dataframe obtained from Step 2.. To display the figure, use show() method.. How do you plot a line in Python?Simple Line Plots. %matplotlib inline import matplotlib.pyplot as plt plt. style. use('seaborn-whitegrid') import numpy as np. ... . fig = plt. figure() ax = plt. axes() ... . In [3]: fig = plt. figure() ax = plt. ... . In [4]: plt. plot(x, np. ... . In [5]: plt. plot(x, np. ... . plt. plot(x, x + 0, '-g') # solid green plt. ... . In [9]: plt. ... . In [10]: plt.. How do you make a bar graph with two sets of data in Python?arange( ) function from numpy library is used to create a range of values. Plotting the multiple bars using plt. bar( ) function in matplotlib library. To avoid overlapping of bars in each group, the bars are shifted 0.25 units from the X-axis in this example.
How do you plot a bargraph?Collect your data. The first thing you have to do is to collect all of your data. ... . Draw an x and a y-axis. This will look like a large "L" shape. ... . Label the x-axis. ... . Label the y-axis. ... . Draw your bars. ... . Interpret the data.. |