pandas dataframe 使用 for 循环创建列

Question

我正在尝试通过价格每 1000 次迭代创建新列并从第一个 dataframe 添加数据。 当我执行 head() 时，程序在 15 秒后结束，没有错误

import pandas as pd
import matplotlib.pyplot as plt

data_frame = pd.read_csv('candle_data.csv', names=['Time', 'Symbol','Side', 'Size', 'Price','1','2','3','4','5'])
price_df = pd.DataFrame()

for price in data_frame['Price']:
    count_tick = 0
    count_candle = 0
    if count_tick < 1000:
        price_df[count_candle] = price
        count_tick +=1
    elif count_tick == 1000:
        count_tick = 0
        count_candle +=1

price_df.head()

Answer 1

每次循环时，您的 count_tick 和 count_candle 变量都会重置为 0...如果您希望它们增加，您应该将它们拉出 for 循环。

count_tick = 0
count_candle = 0
for price in data_frame['Price'].astype(int):
    if count_tick < 1000:
        price_df[count_candle] = price
        count_tick +=1
    elif count_tick == 1000:
        count_tick = 0
        count_candle +=1

price_df.head()

不确定您最终要做什么...