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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")
The text was updated successfully, but these errors were encountered:
Question form pre-submit checklist.
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)
The text was updated successfully, but these errors were encountered: