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> This page is generated from README.md and wiki/. Changes made here are overwritten the next time the wiki is published.
English | [Dansk](Home.da) | [Bahasa Melayu](Home.ms)
# Weather Data (Day 25)
Reading CSV weather data in Python. It is the day-25 assignment of Udemy's *100 Days of Code: The Complete Python Pro Bootcamp*. The lectures read the weather of one week from `weather_data.csv` with Python's built-in `csv` library and collect the temperatures as whole numbers, and then show how the `pandas` library does the same in one line. A table is a `DataFrame` and a column of it is a `Series`; both can be converted to a dictionary and a list, the average and the maximum temperature can be computed, rows can be selected by a condition, and a `DataFrame` can be created from a dictionary and exported to a CSV file.
![The program running in a terminal: the rows and temperatures read with the csv library, then the data frame, the dictionary, the list, the average 17.43, the maximum 24, the row of Monday, the hottest row Sunday, Monday in Fahrenheit 53.6 and the scores frame](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/025-weather/raw/branch/main/docs/images/weather-run.png)
*`python -m weather` in a terminal: the csv part first, then the pandas part.*
## What the program prints
| Part | Result |
| --- | --- |
| `csv` library | The rows of the file and the temperatures `[12, 14, 15, 14, 21, 22, 24]` |
| `pandas` | The `DataFrame`, the dictionary and the list of temperatures |
| Statistics | Average 17.43 (by hand and with `mean`) and maximum 24 |
| Row selection | The row of Monday, the row of the hottest day (Sunday), Monday in Fahrenheit (53.6) |
| Create and export | A `DataFrame` of students and scores made from a dictionary; written to a file only with `--export` |
## Functions
| Function | Module | Lecture |
| --- | --- | --- |
| `read_rows`, `read_temperatures` | `weather.csv_reader` | Reading with the `csv` library |
| `read_data` | `weather.analysis` | `pandas.read_csv` |
| `to_data_dict`, `to_temp_list` | `weather.analysis` | `to_dict`, `to_list` |
| `average_temp`, `average_temp_mean`, `max_temp` | `weather.analysis` | Sum and length, `mean`, `max` |
| `row_for_day`, `hottest_row`, `day_in_fahrenheit` | `weather.analysis` | Selecting rows |
| `create_scores_frame`, `export_frame` | `weather.export` | `DataFrame` from a dictionary, `to_csv` |
## Run
Python 3.13 or newer is needed. The `csv` part has no runtime dependencies; `pandas` is an optional extra that the `dev` extra installs.
```bash
git clone https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/025-weather.git
cd 025-weather
python -m venv .venv
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
python -m weather
```
Add `--export new_data.csv` to also write the scores table to a file. The README of the repository has the full set-up for Windows, Linux and macOS.