lorarjohns

df['chromosome'].unique()


array(['1', '2', '3', '4', '5', '6', '7', '8', 
      '9', '10', '11', '12','13', '14', '15', 
      '16', '17', '18', '19', '20', '21', '22',
      'X','MT'], dtype=object)


df['chromosome'] = df['chromosome'].apply(lambda x: 

lorarjohns

# Read the data into a pandas DataFrame and do some EDA
df = pd.DataFrame(data)

df.head()

df.isna().any()


rsid         False
chromosome    False

lorarjohns

data = pd.read_csv('genome.txt', sep='\t', dtype={'rsid':'str', 'chromosome':'object', 'position':'int', 'genotype':'str'}, comment='#')


print(data)


rsid chromosome  position genotype
0       rs548049170          1     69869       TT
1        rs13328684          1     74792       --
2         rs9283150          1    565508       AA

lorarjohns

%matplotlib inline
import seaborn as sns
sns.set_style('darkgrid')
sns.color_palette('Spectral')
import matplotlib.pyplot as plt


import numpy as np
import requests
import pandas as pd