# %load q05_read_csv_data/build.py
# Default imports
import numpy as np

path = './data/ipl_matches_small.csv'

def read_ipl_data_csv(path,dtype=type(float)):
    ipl_array = np.genfromtxt(path,dtype=dtype,skip_header=1, delimiter=',')
    return ipl_array
# Enter code here

print(read_ipl_data_csv(path,'|S50'))




0782f98056c6bcba1b721322593e73fa1f4123ef
<mask token>


def read_ipl_data_csv(path, dtype=type(float)):
    ipl_array = np.genfromtxt(path, dtype=dtype, skip_header=1, delimiter=',')
    return ipl_array


<mask token>

<mask token>


def read_ipl_data_csv(path, dtype=type(float)):
    ipl_array = np.genfromtxt(path, dtype=dtype, skip_header=1, delimiter=',')
    return ipl_array


print(read_ipl_data_csv(path, '|S50'))

<mask token>
path = './data/ipl_matches_small.csv'


def read_ipl_data_csv(path, dtype=type(float)):
    ipl_array = np.genfromtxt(path, dtype=dtype, skip_header=1, delimiter=',')
    return ipl_array


print(read_ipl_data_csv(path, '|S50'))

import numpy as np
path = './data/ipl_matches_small.csv'


def read_ipl_data_csv(path, dtype=type(float)):
    ipl_array = np.genfromtxt(path, dtype=dtype, skip_header=1, delimiter=',')
    return ipl_array


print(read_ipl_data_csv(path, '|S50'))

# %load q05_read_csv_data/build.py
# Default imports
import numpy as np

path = './data/ipl_matches_small.csv'

def read_ipl_data_csv(path,dtype=type(float)):
    ipl_array = np.genfromtxt(path,dtype=dtype,skip_header=1, delimiter=',')
    return ipl_array
# Enter code here

print(read_ipl_data_csv(path,'|S50'))



