From SQLAlchemy results to a plot

We can also take advantage of pandas and Matplotlib to build figures of our data. Remember that data visualization is essential for both exploratory data analysis and communication of your data!

本练习是课程的一部分

Introduction to Databases in Python

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练习说明

Import matplotlib.pyplot as plt.
Create a DataFrame df using pd.DataFrame() on the provided results.
Set the columns of the DataFrame df.columns to be the columns from the first result object results[0].keys().
Print the DataFrame df.
Use the plot.bar() method on df to create a bar plot of the results.
Display the plot with plt.show().

交互式实操练习

通过完成这段示例代码来试试这个练习。

# Import pyplot as plt from matplotlib


# Create a DataFrame from the results: df
df = ____

# Set Column names
df.columns = ____

# Print the DataFrame


# Plot the DataFrame

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