python随机数据生成器应为str实例,找到numpy.datetime64
Hello一直在尝试将带有随机日期的随机数据创建到csv文件中,但出现以下错误python随机数据生成器应为str实例,找到numpy.datetime64,python,pandas,numpy,keras,Python,Pandas,Numpy,Keras,Hello一直在尝试将带有随机日期的随机数据创建到csv文件中,但出现以下错误expected str instance,找到numpy.datetime64 数据生成器代码 import pandas as pd import numpy as np import string import random def gen_random_email(): domains = [ "hotmail.com", "gmail.com", "
expected str instance,找到numpy.datetime64
数据生成器代码
import pandas as pd
import numpy as np
import string
import random
def gen_random_email():
domains = [ "hotmail.com", "gmail.com", "aol.com", "mail.com" , "mail.kz", "yahoo.com"]
letters = string.ascii_letters +'.'*5
email = ''.join(np.random.choice(list(letters),10))+'@'+ np.random.choice(domains)
email = email.replace('.@', '@')
return email, "Email"
def gen_random_float():
num = np.random.random()*np.random.randint(2000)
decimal_points = np.random.randint(8)
num = int(num*10**(decimal_points))/10**decimal_points
return str(num), 'Float'
def gen_random_sentence():
nouns = ["puppy", "car", "rabbit", "girl", "monkey"]
verbs = ["runs", "hits", "jumps", "drives", "barfs"]
adv = ["crazily", "dutifully", "foolishly", "merrily", "occasionally"]
adj = ["adorable.", "clueless.", "dirty.", "odd.", "stupid."]
random_entry = lambda x: x[random.randrange(len(x))]
random_entry = " ".join([random_entry(nouns), random_entry(verbs),
random_entry(adv), random_entry(adj)])
return random_entry, 'String'
def gen_random_int():
num = np.random.randint(1000000)
return str(num), 'Int'
def gen_random_date():
monthly_days = np.arange(0, 30)
base_date = np.datetime64('2020-01-01')
random_date = base_date + np.random.choice(monthly_days)
return random_date, 'Date'
def gen_dataset(filename, size=5000):
randomizers = [gen_random_email, gen_random_float, gen_random_int, gen_random_sentence,gen_random_date]
with open(filename, 'w') as file:
file.write("Text, Type\n")
for _ in range(size):
file.write(",".join(random.choice(randomizers)())+"\n")
gen_dataset('dataaaa.csv')
首先,捕获错误并查看是什么导致了它
def gen_dataset(filename, size=5000):
randomizers = [gen_random_email, gen_random_float, gen_random_int, gen_random_sentence,gen_random_date]
with open(filename, 'w') as file:
file.write("Text, Type\n")
for _ in range(size):
f = random.choice(randomizers)
result = f()
try:
file.write(",".join(result)+"\n")
except TypeError:
print(result)
raise
然后只需修改
try/except
def gen_dataset(filename, size=5000):
randomizers = [gen_random_email, gen_random_float, gen_random_int, gen_random_sentence,gen_random_date]
with open(filename, 'w') as file:
file.write("Text, Type\n")
for _ in range(size):
f = random.choice(randomizers)
a,b = f()
try:
q = ",".join([a,b,"\n"])
except TypeError:
a = np.datetime_as_string(a)
q = ",".join([a,b,"\n"])
file.write(q)
或者干脆先发制人地将第一项设置为字符串
def gen_dataset(filename, size=5000):
randomizers = [gen_random_email, gen_random_float, gen_random_int, gen_random_sentence,gen_random_date]
with open(filename, 'w') as file:
file.write("Text, Type\n")
for _ in range(size):
f = random.choice(randomizers)
a,b = f()
q = ",".join([str(a),b,"\n"])
file.write(q)
当发布关于产生异常的代码的问题时,请始终包含完整的回溯-复制并粘贴它,然后将其格式化为代码(选择它并键入
ctrl-k
),您是否有可能将其简化为一个问题?
>>> q = gen_random_date()[0]
>>> q
numpy.datetime64('2020-01-27')
>>> np.datetime_as_string(q)
'2020-01-27'
>>> q.astype(str)
'2020-01-27'
>>>
def gen_dataset(filename, size=5000):
randomizers = [gen_random_email, gen_random_float, gen_random_int, gen_random_sentence,gen_random_date]
with open(filename, 'w') as file:
file.write("Text, Type\n")
for _ in range(size):
f = random.choice(randomizers)
a,b = f()
try:
q = ",".join([a,b,"\n"])
except TypeError:
a = np.datetime_as_string(a)
q = ",".join([a,b,"\n"])
file.write(q)
def gen_dataset(filename, size=5000):
randomizers = [gen_random_email, gen_random_float, gen_random_int, gen_random_sentence,gen_random_date]
with open(filename, 'w') as file:
file.write("Text, Type\n")
for _ in range(size):
f = random.choice(randomizers)
a,b = f()
q = ",".join([str(a),b,"\n"])
file.write(q)