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类型错误:“NoneType”和“float”的实例之间不支持“<”

我正在关注YouTube教程,我从教程中编写了此代码importnumpyasnpimportpandasaspdfromsci

我正在关注 YouTube 教程,我从教程中编写了此代码

import numpy as np
import pandas as pd
from scipy.stats import percentileofscore as score
my_columns = [
'Ticker',
'Price',
'Number of Shares to Buy',
'One-Year Price Return',
'One-Year Percentile Return',
'Six-Month Price Return',
'Six-Month Percentile Return',
'Three-Month Price Return',
'Three-Month Percentile Return',
'One-Month Price Return',
'One-Month Percentile Return'
]
final_df = pd.DataFrame(columns = my_columns)
# populate final_df here....
pd.set_option('display.max_columns', None)
print(final_df[:1])
time_periods = ['One-Year', 'Six-Month', 'Three-Month', 'One-Month']
for row in final_df.index:
for time_period in time_periods:
change_col = f'{time_period} Price Return'
print(type(final_df[change_col]))
percentile_col = f'{time_period} Percentile Return'
print(final_df.loc[row, change_col])
final_df.loc[row, percentile_col] = score(final_df[change_col], final_df.loc[row, change_col])
print(final_df)

它将我的数据框打印为

| Ticker | Price | Number of Shares to Buy | One-Year Price Return | One-Year Percentile Return | Six-Month Price Return | Six-Month Percentile Return | Three-Month Price Return | Three-Month Percentile Return | One-Month Price Return | One-Month Percentile Return |
|--------|---------|-------------------------|------------------------|----------------------------|------------------------|-----------------------------|--------------------------|-------------------------------|-------------------------|------------------------------|
| A | 120.38 | N/A | 0.437579 | N/A | 0.280969 | N/A | 0.198355 | N/A | 0.0455988 | N/A |

但是当我调用 score 函数时,我收到了这个错误


0.4320217937551543
Traceback (most recent call last):
File "program.py", line 72, in
final_df.loc[row, percentile_col] = score(final_df[change_col], final_df.loc[row, change_col])
File "/Users/abhisheksrivastava/Library/Python/3.7/lib/python/site-packages/scipy/stats/stats.py", line 2017, in percentileofscore
left = np.count_nonzero(a TypeError: '<' not supported between instances of 'NoneType' and 'float'

出了什么问题?我在 YouTube 视频中看到了相同的代码。我几乎没有使用 Python 的经验

编辑:

我也试过

print(type(final_df['One-Year Price Return']))
print(type(final_df['Six-Month Price Return']))
print(type(final_df['Three-Month Price Return']))
print(type(final_df['One-Month Price Return']))
for row in final_df.index:
final_df.loc[row, 'One-Year Percentile Return'] = score(final_df['One-Year Price Return'], final_df.loc[row, 'One-Year Price Return'])
final_df.loc[row, 'Six-Month Percentile Return'] = score(final_df['Six-Month Price Return'], final_df.loc[row, 'Six-Month Price Return'])
final_df.loc[row, 'Three-Month Percentile Return'] = score(final_df['Three-Month Price Return'], final_df.loc[row, 'Three-Month Price Return'])
final_df.loc[row, 'One-Month Percentile Return'] = score(final_df['One-Month Price Return'], final_df.loc[row, 'One-Month Price Return'])
print(final_df)

但它仍然得到同样的错误






Traceback (most recent call last):
File "program.py", line 71, in
final_df.loc[row, 'One-Year Percentile Return'] = score(final_df['One-Year Price Return'], final_df.loc[row, 'OneYear Price Return'])
File "/Users/abhisheksrivastava/Library/Python/3.7/lib/python/site-packages/scipy/stats/stats.py", line 2017, in percentileofscore
left = np.count_nonzero(a TypeError: '<' not supported between instances of 'NoneType' and 'float'

回答


@Taras Mogetich 写的非常正确,但是您可能需要将 if 语句放在自己的 for 循环中。利科这样:

for row in hqm_dataframe.index:
for time_period in time_periods: change_col = f'{time_period} Price Return'
percentile_col = f'{time_period} Return Percentile'
if hqm_dataframe.loc[row, change_col] == None:
hqm_dataframe.loc[row, change_col] = 0.0

然后分别:

for row in hqm_dataframe.index:
for time_period in time_periods: change_col = f'{time_period} Price Return'
percentile_col = f'{time_period} Return Percentile'
hqm_dataframe.loc[row, percentile_col] = score(hqm_dataframe[change_col], hqm_dataframe.loc[row, change_col])





回答


我也在学习本教程。我更深入地查看了四个“___ 价格回报”列中的数据。查看我的批处理 API 调用,有四行的值为“None”而不是浮点数,这就是出现“NoneError”的原因,因为 percentileofscore 函数试图使用不是浮点数的“None”来计算百分位数.

为了解决这个 API 错误,我手动将 None 值更改为 0 来计算百分位数,代码如下...

time_periods = [
'One-Year',
'Six-Month',
'Three-Month',
'One-Month'
]
for row in hqm_dataframe.index:
for time_period in time_periods:
if hqm_dataframe.loc[row, f'{time_period} Price Return'] == None:
hqm_dataframe.loc[row, f'{time_period} Price Return'] = 0





回答


用谷歌搜索我遇到的问题很有趣,这与您正在学习的教程完全相同!

如前所述,来自 API 调用的一些数据的值为 None,这会导致 percentileofscore 函数出错。我的解决方案是在初始创建 hqm_dataframe 时将所有 None 类型转换为整数 0。

hqm_columns = [
'Ticker',
'Price',
'Number of Shares to Buy',
'One-Year Price Return',
'One-Year Return Percentile',
'Six-Month Price Return',
'Six-Month Return Percentile',
'Three-Month Price Return',
'Three-Month Return Percentile',
'One-Month Price Return',
'One-Month Return Percentile'
]
hqm_dataframe = pd.DataFrame(columns=hqm_columns)
convert_nOne= lambda x : 0 if x is None else x
for symbol_string in symbol_strings:
batch_api_call_url = f'https://sandbox.iexapis.com/stable/stock/market/batch?symbols={symbol_string}&types=price,stats&token={IEX_CLOUD_API_TOKEN}'
data = requests.get(batch_api_call_url).json() for symbol in symbol_string.split(','):
hqm_dataframe = hqm_dataframe.append(
pd.Series(
[
symbol,
data[symbol]['price'],
'N/A',
convert_none(data[symbol]['stats']['year1ChangePercent']),
'N/A',
convert_none(data[symbol]['stats']['month6ChangePercent']),
'N/A',
convert_none(data[symbol]['stats']['month3ChangePercent']),
'N/A',
convert_none(data[symbol]['stats']['month1ChangePercent']),
'N/A'
],
index = hqm_columns
),
ignore_index=True
)






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