exploratory_data_analysis

Import Librarys

Import packages that use to work with in a ML/AI projects

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inlinepd.__version__

Read CSV Files with Pandas

We have the read_csv the Pandas and record on the df object:

df = pd.read_csv('path_to_csv_file.csv')

Check Types

We can see the DataFrame type

print(type(df))<class'pandas.core.frame.DataFrame'>

View Data

The first column is the index created automatically by Pandas, the other columns were collected from the dataset loaded.

df.head(10)

Check Data Types

Let’s see how Pandas determined the types of each column when loading them

df.dtypes

Check Columns

Returns a list of columns we have

df.columns

Adjust column name

Adjust the name of the columns of the dataframe.

cols = ['col1', 'col2', 'col3']
df.columns = cols # columns receive cols

Check indexes

Starts at 0 and ends at 81, jumping 1 in 1.

df.index
RangeIndex(start=0, stop=81, step=1)