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[pandas] small updates #164

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Sep 16, 2021
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[pandas] small updates #164

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small updates
jstac Sep 16, 2021
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jstac Sep 16, 2021
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16 changes: 4 additions & 12 deletions lectures/pandas.md
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Expand Up @@ -44,10 +44,10 @@ tags: [hide-output]
Its popularity has surged in recent years, coincident with the rise
of fields such as data science and machine learning.

Here's a popularity comparison over time against STATA, SAS, and [dplyr](https://dplyr.tidyverse.org/) courtesy of Stack Overflow Trends
Here's a popularity comparison over time against Matlab and STATA courtesy of Stack Overflow Trends

```{figure} /_static/lecture_specific/pandas/pandas_vs_rest.png
:scale: 40
:scale: 100
```

Just as [NumPy](http://www.numpy.org/) provides the basic array data type plus core array operations, pandas
Expand Down Expand Up @@ -154,15 +154,7 @@ In essence, a `DataFrame` in pandas is analogous to a (highly optimized) Excel s

Thus, it is a powerful tool for representing and analyzing data that are naturally organized into rows and columns, often with descriptive indexes for individual rows and individual columns.

```{only} html
Let's look at an example that reads data from the CSV file `pandas/data/test_pwt.csv` that can be downloaded
<a href=_static/lecture_specific/pandas/data/test_pwt.csv download>here</a>.
```

```{only} latex
Let's look at an example that reads data from the CSV file `pandas/data/test_pwt.csv` and can be downloaded
[here](https://lectures.quantecon.org/_downloads/pandas/data/test_pwt.csv).
```
Let's look at an example that reads data from the CSV file `pandas/data/test_pwt.csv`, which is taken from the Penn World Tables.

Here's the content of `test_pwt.csv`

Expand All @@ -178,7 +170,7 @@ Here's the content of `test_pwt.csv`
"Uruguay","URY","2000","3219.793","12.099591667","25255.961693","78.978740282","5.108067988"
```

Supposing you have this data saved as `test_pwt.csv` in the present working directory (type `%pwd` in Jupyter to see what this is), it can be read in as follows:
We'll read this in from a URL using the `pandas` function `read_csv`.

```{code-cell} python3
df = pd.read_csv('https://raw.githubusercontent.com/QuantEcon/lecture-python-programming/master/source/_static/lecture_specific/pandas/data/test_pwt.csv')
Expand Down