类型错误：无法将 numpy.ndarray 转换为 numpy.ndarray

Question

我不知道为什么，但在安装了新的 Windows 和新的 pycharm 安装后，我在运行一些以前的功能代码时遇到了问题。我现在使用下面的代码收到上述错误。是设置问题还是发生了某些更改导致此代码现在无法运行？错误发生在最后一行。该错误对我来说没有意义，因为 ndarray 到 ndarray 不应该需要任何转换。

import numpy as np
import pyodbc
import pandas as pd
import sqlalchemy as SQL
import torch
import datetime

# Setup your SQL connection
server = [hidden for security]
database = [hidden for security]
username = [hidden for security]
password = [hidden for security]
# This is using the pyodbc connection
cnxn = pyodbc.connect(
    'DRIVER={SQL Server};SERVER=' + server + ';DATABASE=' + database + ';UID=' + username + ';PWD=' + password)
cursor = cnxn.cursor()
# This is using the SQLAlchemy connection
engine_str = SQL.URL.create(
    drivername="mssql+pyodbc",
    username=username,
    password=password,
    host=server,
    port=1433,
    database=database,
    query={
        "driver": "ODBC Driver 17 for SQL Server",
        "TrustServerCertificate": "no",
        "Connection Timeout": "30",
        "Encrypt": "yes",
    },
)
engine = SQL.create_engine(engine_str)

storeemployee = []
regionalemployee = []
regionid = []
storeid = []

# get table from dev
with engine.connect() as connection:
    result = connection.execute(SQL.text("SELECT StoreId, R_Num, RegionalMerchandiserEmployeeId, StoreMerchandiserEmployeeId from Staging.StoreMerchandiserInput"))
    for row in result:
        # set your variables = to the results
        storeemployee.append(row.StoreMerchandiserEmployeeId)
        regionalemployee.append(row.RegionalMerchandiserEmployeeId)
        regionid.append(row.R_Num)
        storeid.append(row.StoreId)
storeemployee = np.array(storeemployee)
regionalemployee = np.array(regionalemployee)
regionid = np.array(regionid)
storeid = np.array(storeid)

# StoreMerchandiserEmail
data = {'StoreMerchandiserEmployeeId': storeemployee, 'RegionalMerchandiserEmployeeId': regionalemployee,
        "R_Num": regionid, "StoreId":storeid}
FinalData = pd.DataFrame(data, columns=['StoreMerchandiserEmployeeId', 'RegionalMerchandiserEmployeeId', 'R_Num', 'StoreId'])

编辑- 完整错误消息：

Traceback (most recent call last):
  File "C:\Users\Carter.Lowe\Documents\Python Files\Data Import 2.py", line 56, in <module>
    FinalData = pd.DataFrame(data, columns=['StoreMerchandiserEmployeeId', 'RegionalMerchandiserEmployeeId', 'R_Num', 'StoreId'])
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\frame.py", line 778, in __init__
    mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\internals\construction.py", line 443, in dict_to_mgr
    arrays = Series(data, index=columns, dtype=object)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\series.py", line 490, in __init__
    index = ensure_index(index)
            ^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\indexes\base.py", line 7647, in ensure_index
    return Index(index_like, copy=copy, tupleize_cols=False)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\indexes\base.py", line 565, in __new__
    arr = sanitize_array(data, None, dtype=dtype, copy=copy)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\construction.py", line 654, in sanitize_array
    subarr = maybe_convert_platform(data)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\dtypes\cast.py", line 139, in maybe_convert_platform
    arr = lib.maybe_convert_objects(arr)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "lib.pyx", line 2538, in pandas._libs.lib.maybe_convert_objects
TypeError: Cannot convert numpy.ndarray to numpy.ndarray

Answer 1

我尝试为您的问题创建一个简单的模拟，但无法复制它。我怀疑这可能是您的数据类型的问题，或者是您的 pandas 安装的问题。

您能否尝试运行我在您的环境中创建的以下示例，看看它是否成功生成 Pandas DataFrame？如果是这样，那么您的安装就很好，您可能想要迭代并更详细地探索您的数据类型。

# Import modules
import pandas as pd
import numpy as np
import random
import string

# Create lists of different data types to test
num_items = 20

# Generate arrays
list1 = np.asarray([np.random.randint(0, 10) for n in range(num_items)])  # Integers
list2 = np.asarray([random.choice(string.ascii_letters) for n in range(num_items)])  # Strings
list3 = np.asarray([np.random.random() for n in range(num_items)])  # Floats
print(
    f"Array 1: {list1} \n"
    f"Shape: {np.shape(list1)} \n"
    f"Array 2: {list2} \n"
    f"Shape: {np.shape(list2)} \n"
    f"Array 3: {list3} \n"
    f"Shape: {np.shape(list3)} \n"
)

# Save as dict and convert to Pandas DataFrame
data = {
    "ints": list1,
    "strs": list2,
    "flts": list3,
}
dataframe = pd.DataFrame(data, columns=["ints", "strs", "flts",])
print(dataframe)