[英]pandas dataframe creating columns with for loop
我正在嘗試通過價格每 1000 次迭代創建新列並從第一個 dataframe 添加數據。 當我執行 head() 時,程序在 15 秒后結束,沒有錯誤
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()
每次循環時,您的 count_tick 和 count_candle 變量都會重置為 0...如果您希望它們增加,您應該將它們拉出 for 循環。
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()
不確定您最終要做什么...
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