ezcsv 0.1

Functions to do obvious things with CSVs

# EZCSV

Some utility functions to do the obvious things you want to do with CSV files.

`csv` is easy, this is EZ.


## Reference

#### `read_dicts(file_path)`

Returns the data at `file_path` as a list of dicts.

- **`file_path`** `string | Path`

#### `read_lists(file_path)`

Returns the data at `file_path` as a list of lists. Ignores blank lines.

- **`file_path`** `string | Path`

Example Usage:
```
>>> from easycsv import csv_as_list
>>> filepath = 'C:\\path\\to\\file.csv'
>>> print(filepath)
C:\path\to\file.csv
>>> l = csv_as_list(filepath)
>>> print(l[0])
First,Line,Of,File,Prints,Here
```

#### `write_dicts(data, csv_path, mkdir=False, silent_fail=False)`

Writes the input data to a CSV file

Always produces a Unix-style CSV file, regardless of whether on
Windows or not.

- **`data`** `list[dict]`

One dict per line. The first dict is expected to contain all of the
keys that will form the header line.
- **`csv_path`** `string | Path`

Should have a .csv extension. `mkdir` will malfunction if it doesn't.
- **`mkdir`** `bool`

If true, creates the directory tree leading up to `csv_path`, ignoring
if directories already exist.

- **`silent_fail`**: `bool`

If `true`, causes the method to do nothing if `data` happens
to be empty.

#### `write_lists(data, csv_path, mkdir=False)`

Writes the input data to a CSV file

Always produces a Unix-style CSV file, regardless of whether on
Windows or not.

- **`data`** `list[list]`

- **`csv_path`** `string | Path`

Should have a .csv extension. `mkdir` will malfunction if it doesn't.
- **`mkdir`** `bool`

If true, creates the directory tree leading up to `csv_path`, ignoring
if directories already exist.