[Question]: history per minutes

[RoboWild]

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• [X] I have searched the existing issues to ensure there isn't already an issue about this question.
• [X] My question has to do with the Python SDK and isn't a general question about the API. (If it is please open your issue here)
• [X] My question isn't about how to do a specific algorithm or asking for trade advice (answers to these are outside the scope of this repo).

Question

how can i get from 09:00 to 16:00 per minute we try many ways none working and did not found any real documentation

import requests import pandas as pd import matplotlib.pyplot as plt from datetime import datetime from dateutil.parser import parse

... ...

params = { 'start': '2022-01-03T13:00:00Z', 'end': '2022-01-04T16:00:00Z'

}

response = requests.get(url, headers=headers, params=params)

if response.status_code == 200: data = response.json() trades = data['trades'] df = pd.DataFrame(trades)

# Convert timestamps to datetime format (using 'ns' unit for nanoseconds)
df['timestamp'] = pd.to_datetime(df['t'], unit='ns')
df.set_index('timestamp', inplace=True)
 # Print all rows in the dataset line by line
for index, row in df.iterrows():
    timestamp = row.iloc[0]
    parsed_timestamp = parse(timestamp)

    date = parsed_timestamp.date()
    time = parsed_timestamp.time()

    print("Date:", date)
    print("Time:", time)
    print(f"Row index: {index}")
    print(f"Column 0: {row.iloc[0]}")
    print(f"Column 1: {row.iloc[1]}")
    print(f"Column 2: {row.iloc[2]}")
    print(f"Column 3: {row.iloc[3]}")
    print(f"Column 4: {row.iloc[4]}")
    print(f"Column 5: {row.iloc[5]}")
    print("\n")