semvec/pypi-packages huggingface dataset:
csv2dictionary 0.0.2
converts csv to a dictionary
Requires Python: >=3.6

# timeconMT
A conversion from csv file to dictionary by Malphrus Tech

## Usage

### import
```python
from csv2dictionary.csvpro import CsvBrain
```
### use

#### data
```python
case1 = CsvBrain('test.csv')
case1.data
#returns a list of dictionaries
#the first line in the csv are the keys in the dictionaries
```

#### headers
```python
case1 = CsvBrain('test.csv')
case1.header_labels
#returns a list of Header labels
```

#### Search
```python
case1 = CsvBrain('test.csv')
case1.search('dog')
#returns a list of dict's that contain "dog" as a value under any key
```

#### castInt
```python
case1 = CsvBrain('test.csv')
case1.castInt('age')
#loops thru the list of dictionaries and changes cast all values under an 'age' key to integers
```
#### castInt
```python
case1 = CsvBrain('test.csv')
case1.castFloat('age')
#loops thru the list of dictionaries and changes cast all values under an 'age' key to Floats
```
outliers-101703325 0.0.1
A Simple Package to detect and remove outliers using Inter-Quatile Range
Requires Python: >=3.6



This is a simple package to use Inter-Quartile Range to detect and remove the outliers.
It shows the number of outliers removed and data after removal of outliers is saved in another file
which is provided.

To run file use python outliers.py "data.csv" "writing.csv"