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Subset time series data

When plotting time series data, you may occasionally want to visualize only a subset of the data. The pandas library provides powerful indexing and subsetting methods that allow you to extract specific portions of a DataFrame. For example, you can subset all the data between 1950 and 1960 in the discoveries DataFrame by specifying the following date range:

subset_data = discoveries['1950-01-01':'1960-01-01']

Note: Subsetting your data this way is only possible if the index of your DataFrame contains dates of the datetime type. Failing that, the pandas library will return an error message.

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Visualizing Time Series Data in Python

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# Select the subset of data between 1945 and 1950
discoveries_subset_1 = discoveries['____':'____']

# Plot the time series in your DataFrame as a blue area chart
ax = discoveries_subset_1.____(color='blue', fontsize=15)

# Show plot
plt.show()
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