data-analysis

Pandas using jupyter notebook

Vasav

1 minute read

import numpy as np
import pandas as pd
  1. Import data visualization libraries
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
  1. Import a csv file as a dataframe
df = pd.read_csv('file.csv')
df = pd.read_csv('/path/file.csv')
  1. Get data types and other information about the dataframe
df.info()
  1. View few initial rows from a dataframe
df.head()
df.head(5) #returns top 5 rows
  1. Obtain value count for a column/series
df['column name'].value_counts()
df['column…