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Legacy – Pandas

Learn to use the Pandas Library to clean and manipulate financial datasets.

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16 Lessons (28m)

Show lesson playlist
  • 1. Legacy – Installing Pandas

    01:07
  • 2. Legacy – What is Pandas

    01:00
  • 3. Legacy – Why Use Pandas

    01:21
  • 4. Legacy – Capabilities of Pandas

    01:09
  • 5. Legacy – Loading a Dataset Workout

    03:36
  • 6. Legacy – Options when Loading a Dataset Workout

    02:08
  • 7. Legacy – Subsetting Dataset Workout

    01:55
  • 8. Legacy – Renaming Columns Workout

    01:44
  • 9. Legacy – Selecting Index Workout

    02:52
  • 10. Legacy – Dataset Information Workout

    01:16
  • 11. Legacy – Selecting Values Workout

    01:41
  • 12. Legacy – Creating a DataFrame

    01:50
  • 13. Legacy – DataFrame Operations

    01:39
  • 14. Legacy – Creating a DataFrame Workout

    02:07
  • 15. Legacy – Merging Dataframe Workout

    02:15
  • 16. Pandas Tryout


Prev: Legacy – NumPy Next: Legacy – Matplotlib

Legacy – Selecting Values Workout

  • Notes
  • Questions
  • Transcript
  • 01:41

Workout demonstrating how to get a specific value from a dataset.

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Selecting Values - Python Workout Files

Glossary

Dataset Pandas Library Selecting a Particular Value
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Transcript

We shall focus at a very specific example how to get a particular value from a data set the selection of a certain column and a certain row. In order to do this, we again use the s&p 500 data, let us now load the data set and see the result. So, again it has got columns of the opening value, the highest value, lowest value and etc. And similarly, it has got dates. Now, we try to locate the value on the 11th of November 2019. And we want the highest value on the date. In order to do that, we ask Python to print SP 500 high and again, we have a square bracket and we select the particular date. Now, we try to run the score perfect values 3088.3 Let us cross check it, it's 3088.3 Perfect, it's working. Another way to do this is to use the LOC locating command. So we can say SP 500 . loc and we can select the date and also we can select the high. Let us run this. Again it's working perfect

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