from time import time
import plotly.graph_objects as go
import pandas as pd
def PrintChartData():
data = pd.read_csv("eurusd_m1_03.03.2022.csv")
return data
def PrintDataChart():
data = pd.read_csv("eurusd_m1_03.03.2022.csv")
chart_data= go.candlestick(x=data['time'],open=data['open'],high=data['high'],low=data['low'],close=data['close'])
fig = go.figure(data=[chart_data])
print(fig.show())
RESULT :
TypeError Traceback (most recent call last)
<ipython-input-14-892406758100> in <module>
----> 1 PrintDataChart()
<ipython-input-12-2e832d51e638> in PrintDataChart()
1 def PrintDataChart():
2 data = pd.read_csv("eurusd_m1_03.03.2022.csv")
----> 3 chart_data = go.candlestick(x=data['time'],open=data['open'],high=data['high'],low=data['low'],close=data['close'])
4 fig = go.figure(data=[chart_data])
5 print(fig.show())
TypeError: 'module' object is not callable
Can anyone help me solve this problem? I want to call a .csv file to a dart But I encountered this error message.
candlestick()
should be Candlestick()
figure()
should be Figure()
import requests
import pandas as pd
import io
from pathlib import Path
# setup some data so code works
f = Path.cwd().joinpath("eurusd_m1_03.03.2022.csv")
pd.read_csv(
io.StringIO(
requests.get(
"https://www.marketwatch.com/investing/currency/eurusd/downloaddatapartial?startdate=08/03/2022%2000:00:00&enddate=09/02/2022%2023:59:59&daterange=d30&frequency=p1d&csvdownload=true&downloadpartial=false&newdates=false"
).text
)
).pipe(
lambda d: d.rename(columns={c: c.lower() for c in d.columns}).rename(
columns={"date": "time"}
)
).to_csv(
f
)
from time import time
import plotly.graph_objects as go
import pandas as pd
def PrintChartData():
data = pd.read_csv("eurusd_m1_03.03.2022.csv")
return data
def PrintDataChart():
data = pd.read_csv("eurusd_m1_03.03.2022.csv")
chart_data = go.Candlestick(
x=data["time"],
open=data["open"],
high=data["high"],
low=data["low"],
close=data["close"],
)
fig = go.Figure(data=[chart_data])
print(fig.show())
PrintDataChart()