03. Empty

Example

Out:

'\n# Load data\ndf = pd.read_csv(\'./datasets/format03_data_300.csv\')\n\n# Show\nprint(df)\nprint(df.columns)\nprint(df.dtypes)\nprint(df[\'0\'].isna().sum())\n\n# Convert string to numpy\nprint(df[\'0\'])\n#df[\'0\'] = df[\'0\'].map(np.fromstring)\n\n#print(df[\'0\'])\n\naux = df.loc[0, \'0\']\nprint("aaa")\nprint(aux)\nprint(type(aux))\n\na = np.frombuffer(aux, dtype=np.complex_)\nprint(a)\na = np.fromstring(aux, dtype=np.complex_)\nprint(a)\n'

# Libraries
import numpy as np
import pandas as pd

"""
# Load data
df = pd.read_csv('./datasets/format03_data_300.csv')

# Show
print(df)
print(df.columns)
print(df.dtypes)
print(df['0'].isna().sum())

# Convert string to numpy
print(df['0'])
#df['0'] = df['0'].map(np.fromstring)

#print(df['0'])

aux = df.loc[0, '0']
print("aaa")
print(aux)
print(type(aux))

a = np.frombuffer(aux, dtype=np.complex_)
print(a)
a = np.fromstring(aux, dtype=np.complex_)
print(a)
"""