将字符串/列表转换为数据框

import pandas as pd

# 将字符串转换为数据框
string_data = "name,age,gender\nJohn,25,M\nAlice,30,F\nBob,35,M"
df_from_string = pd.read_csv(pd.compat.StringIO(string_data))

# 将列表转换为数据框
list_data = [['John', 25, 'M'], ['Alice', 30, 'F'], ['Bob', 35, 'M']]
df_from_list = pd.DataFrame(list_data, columns=['name', 'age', 'gender'])

import numpy as np

# 将字符串转换为数据框
string_data = "name,age,gender\nJohn,25,M\nAlice,30,F\nBob,35,M"
df_from_string = np.genfromtxt(pd.compat.StringIO(string_data), delimiter=',', names=True, dtype=None)

# 将列表转换为数据框
list_data = [['John', 25, 'M'], ['Alice', 30, 'F'], ['Bob', 35, 'M']]
df_from_list = np.array(list_data, dtype=[('name', 'U10'), ('age', int), ('gender', 'U1')])

import csv

# 将字符串转换为数据框
string_data = "name,age,gender\nJohn,25,M\nAlice,30,F\nBob,35,M"
reader = csv.DictReader(pd.compat.StringIO(string_data))
df_from_string = pd.DataFrame(reader)

# 将列表转换为数据框
list_data = [['name', 'age', 'gender'], ['John', 25, 'M'], ['Alice', 30, 'F'], ['Bob', 35, 'M']]
df_from_list = pd.DataFrame(list_data[1:], columns=list_data[0])