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[new_dataset] SCF_plus_mini_no_weights #6

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[new_dataset] SCF_plus_mini_no_weights #6

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3 changes: 3 additions & 0 deletions SCF_plus/SCF_plus_mini_no_weights.csv
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29 changes: 26 additions & 3 deletions SCF_plus/generating_mini.md
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Original file line number Diff line number Diff line change
Expand Up @@ -11,8 +11,6 @@ kernelspec:
name: python3
---



Regarding converting between ``.ipynb`` and ``.md`` please refer to https://manual.quantecon.org/writing/converting.html

```{code-cell} ipython3
Expand Down Expand Up @@ -49,8 +47,33 @@ df1.columns = var_names_new
df1
```

Export the dataset with weights.

```{code-cell} ipython3
# df1.to_csv('SCF_plus_mini.csv', index=None) # use it when you want to export the weighted data
```

Generate and export the dataset without weights.

```{code-cell} ipython3
counts = list(round(df1['weights']))
df1["weights"] = counts
```

```{code-cell} ipython3
df2 = df1.loc[df1.index.repeat(df1.weights)].reset_index(drop=True)
```

```{code-cell} ipython3
df2 = df2.drop(columns=['weights'])
```

```{code-cell} ipython3
df2
```

```{code-cell} ipython3
df1.to_csv('SCF_plus_mini.csv', index=None)
# df2.to_csv('SCF_plus_mini_no_weights.csv', index=None) # use it when you want to export the non weighted data
```

```{code-cell} ipython3
Expand Down