ee1e8abd87
* feat(tools): add seed/solution restore script * chore(curriculum): remove empty sections' markers * chore(curriculum): add seed + solution to Chinese * chore: remove old formatter * fix: update getChallenges parse translated challenges separately, without reference to the source * chore(curriculum): add dashedName to English * chore(curriculum): add dashedName to Chinese * refactor: remove unused challenge property 'name' * fix: relax dashedName requirement * fix: stray tag Remove stray `pre` tag from challenge file. Signed-off-by: nhcarrigan <nhcarrigan@gmail.com> Co-authored-by: nhcarrigan <nhcarrigan@gmail.com>
58 lines
987 B
Markdown
58 lines
987 B
Markdown
---
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id: 5e9a093a74c4063ca6f7c162
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challengeType: 11
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videoId: ViGEv0zOzUk
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dashedName: reading-data-csv-and-txt
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---
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# --description--
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More resources:
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\- [Reading CSVs Notebook](https://notebooks.ai/rmotr-curriculum/rdp-reading-csv-and-txt-files-fb829f46)
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\- [Reading SQL](https://notebooks.ai/rmotr-curriculum/rdp-reading-data-from-relational-databases-2a3a889b)
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\- [Reading HTML](https://notebooks.ai/rmotr-curriculum/rdp-reading-html-tables-eb9cca73)
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\- [Reading Excel files](https://notebooks.ai/rmotr-curriculum/rdp-reading-excel-files-a6b99973)
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# --question--
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## --text--
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How would you import the CSV file `data.csv` and store it in a DataFrame using the Pandas module?
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## --answers--
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```python
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import pandas as pd
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df = pd.csv("data.csv")
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```
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---
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```python
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import pandas as pd
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df = pd.read_csv("data.csv")
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```
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---
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```python
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import pandas as pd
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pd.read_csv("data.csv")
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```
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---
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```python
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import pandas as pd
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df = pd.csv_reader("data.csv")
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```
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## --video-solution--
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2
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